pax_global_header00006660000000000000000000000064151743670120014520gustar00rootroot0000000000000052 comment=db539ae96fd90c429a763361297563d426d858d5 stac-validator-4.2.2/000077500000000000000000000000001517436701200144425ustar00rootroot00000000000000stac-validator-4.2.2/.dockerignore000066400000000000000000000005271517436701200171220ustar00rootroot00000000000000__pycache__ *.pyc *.pyo *.pyd .Python env pip-log.txt pip-delete-this-directory.txt .tox .coverage .coverage.* .cache nosetests.xml coverage.xml *,cover *.log .git *.swp package-lock.json __pycache__ .pytest_cache .env .venv *.egg-info # CDK asset staging directory .cdk.staging cdk.out **/cdk.out/ **/.cdk.staging/ **/.direnv **/__pycache__/stac-validator-4.2.2/.flake8000066400000000000000000000003021517436701200156100ustar00rootroot00000000000000[flake8] max-line-length = 90 select = C,E,F,W,B,B950 max-complexity = 5 # Error Codes: http://pycdestyle.pycqa.org/en/latest/intro.html#configuration ignore = E501,C901,W503,E302 exclude = libstac-validator-4.2.2/.github/000077500000000000000000000000001517436701200160025ustar00rootroot00000000000000stac-validator-4.2.2/.github/dependabot.yml000066400000000000000000000012161517436701200206320ustar00rootroot00000000000000version: 2 updates: - package-ecosystem: "pip" directory: "/" schedule: interval: "weekly" day: "monday" time: "03:00" open-pull-requests-limit: 10 reviewers: - "jonhealy1" commit-message: prefix: "chore(deps):" include: "scope" pull-request-branch-name: separator: "/" allow: - dependency-type: "all" - package-ecosystem: "github-actions" directory: "/" schedule: interval: "weekly" day: "monday" time: "04:00" open-pull-requests-limit: 5 reviewers: - "jonhealy1" commit-message: prefix: "ci(deps):" include: "scope"stac-validator-4.2.2/.github/workflows/000077500000000000000000000000001517436701200200375ustar00rootroot00000000000000stac-validator-4.2.2/.github/workflows/docs.yml000066400000000000000000000032051517436701200215120ustar00rootroot00000000000000name: Documentation on: push: branches: [ main ] paths: - 'docs/**' - 'stac_validator/**/*.py' - 'README.md' pull_request: branches: [ main ] paths: - 'docs/**' - 'stac_validator/**/*.py' - 'README.md' # Allow manual triggering workflow_dispatch: jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 - name: Set up Python uses: actions/setup-python@v6 with: python-version: '3.8' - name: Install dependencies run: | python -m pip install --upgrade pip pip install -e . pip install sphinx sphinx_rtd_theme myst-parser sphinx-autodoc-typehints - name: Build documentation run: | sphinx-build -b html docs/ docs/_build/html - name: Upload documentation artifact uses: actions/upload-artifact@v7 with: name: documentation path: docs/_build/html retention-days: 7 # Only deploy when pushing to main (not on PRs) deploy: needs: build if: github.event_name == 'push' && github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch' runs-on: ubuntu-latest permissions: contents: write steps: - name: Download built documentation uses: actions/download-artifact@v8 with: name: documentation path: ./docs-build - name: Deploy to GitHub Pages uses: peaceiris/actions-gh-pages@v4 with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: ./docs-build force_orphan: true commit_message: "Update documentation [skip ci]" stac-validator-4.2.2/.github/workflows/publish.yml000066400000000000000000000014351517436701200222330ustar00rootroot00000000000000name: Publish on: push: tags: - "v*.*.*" # Triggers when a tag starting with 'v' followed by version numbers is pushed jobs: build-and-publish: name: Build and Publish to PyPI runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 - name: Set up Python 3.10 uses: actions/setup-python@v6 with: python-version: "3.10" - name: Install dependencies run: | python -m pip install --upgrade pip pip install setuptools wheel twine build - name: Build package run: | python -m build - name: Publish package to PyPI env: TWINE_USERNAME: "__token__" TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }} run: | twine upload dist/* stac-validator-4.2.2/.github/workflows/test-runner.yml000066400000000000000000000016551517436701200230570ustar00rootroot00000000000000name: Test Runner on: push: branches: - main - dev pull_request: branches: - main - dev jobs: test: name: Execute tests runs-on: ubuntu-latest strategy: matrix: python-version: ["3.8", "3.9", "3.10", "3.11", "3.12", "3.13"] steps: - uses: actions/checkout@v6 - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@main with: python-version: ${{ matrix.python-version }} - name: Run mypy if: matrix.python-version == '3.12' run: | pip install . pip install -e .[dev] mypy stac_validator/ - name: Run pre-commit if: matrix.python-version == 3.12 run: | pre-commit install pre-commit autoupdate pre-commit run --all-files - name: Run tox run: | pip install tox tox -e py stac-validator-4.2.2/.gitignore000066400000000000000000000025501517436701200164340ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # pyenv .python-version # celery beat schedule file celerybeat-schedule # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .envrc .idea/ .DS_Store # lambda file *.zip # IDE .vscode cdk-deployment/lambda/stac_validator/ cdk-deployment/build-libraries/libraries.zip Pipfile* # local schemas *.schemasstac-validator-4.2.2/.pre-commit-config.yaml000066400000000000000000000013421517436701200207230ustar00rootroot00000000000000repos: - repo: https://github.com/PyCQA/flake8 rev: 7.0.0 hooks: - id: flake8 - repo: https://github.com/timothycrosley/isort rev: 5.13.2 hooks: - id: isort args: ["--profile", "black"] - repo: https://github.com/psf/black rev: 24.1.1 hooks: - id: black # language_version: python3.11 - repo: https://github.com/pre-commit/mirrors-mypy rev: v1.8.0 hooks: - id: mypy exclude: /tests/ # --strict args: [ --no-strict-optional, --ignore-missing-imports, --implicit-reexport, --explicit-package-bases, ] additional_dependencies: ["types-attrs", "types-requests"] stac-validator-4.2.2/.readthedocs.yml000066400000000000000000000001371517436701200175310ustar00rootroot00000000000000# Build documentation in the docs/ directory with Sphinx sphinx: configuration: docs/conf.py stac-validator-4.2.2/CHANGELOG.md000066400000000000000000000570101517436701200162560ustar00rootroot00000000000000# STAC Validator Change Log All notable changes to this project will be documented in this file. The format is (loosely) based on [Keep a Changelog](http://keepachangelog.com/) and this project adheres to [Semantic Versioning](http://semver.org/). ## [Unreleased] ### Added ### Changed ### Fixed ### Removed ### Updated ## [v4.2.2] - 2026-04-29 ### Added - Added message output for fast validator command [#292](https://github.com/stac-utils/stac-validator/pull/292) ### Removed - Deprecation warnings for `stac-validator` installation [#292](https://github.com/stac-utils/stac-validator/pull/292) ## [v4.2.1] - 2026-04-27 ### Added - Deprecation warning for `stac-validator` command, directing users to use `stac-valid` instead [#290](https://github.com/stac-utils/stac-validator/pull/290) ## [v4.2.0] - 2026-04-27 ### Added - **High-Speed Validation Engine:** Added new `stac-validator fast` command for ultra-high performance validation using `fastjsonschema`. - Up to 50x faster execution per object compared to standard `jsonschema` validation. - **Persistent Schema Caching:** Local disk-based schema cache in `local_schemas/.schemas` to support offline validation and eliminate network latency. - **Dynamic Multi-Level Caching:** Implements RAM -> Disk -> Network fetch hierarchy for JSON schemas. - **Robust Fallback:** Automated fallback to standard `jsonschema` for complex schemas that fail to compile under `fastjsonschema` (e.g., Item Assets extension). - **Intelligent Output:** New summary report including execution metrics (setup time vs. execution time) and consolidated error breakdowns. - Added `--verbose` (`-v`) and `--quiet` (`-q`) support to the `fast` command for configurable output density. [#276](https://github.com/stac-utils/stac-validator/pull/276) - Added dependabot updates [#276](https://github.com/stac-utils/stac-validator/pull/276) ### Changed - Renamed project in pyproject.toml from `stac-validator` to `stac-valid` [#276](https://github.com/stac-utils/stac-validator/pull/276) ## [v4.1.0] - 2026-04-01 ### Added - Added benchmark_validation.py script for comparing batch vs legacy validation performance [#274](https://github.com/stac-utils/stac-validator/pull/274) - Added `--batch-size` option to `batch` command for configurable chunk processing (default: 2000) [#274](https://github.com/stac-utils/stac-validator/pull/274) ### Changed - Implemented compiled validator caching using `@functools.lru_cache` to avoid recompiling JSON schemas [#274](https://github.com/stac-utils/stac-validator/pull/274) - Implemented direct dictionary passing to worker processes via pickle instead of temp file I/O [#274](https://github.com/stac-utils/stac-validator/pull/274) - Implemented pre-warming of schema cache before forking worker processes via Copy-on-Write [#274](https://github.com/stac-utils/stac-validator/pull/274) - Allow both `--feature-collection` and `--item-collection` in `batch` and `validate` command interface [#274](https://github.com/stac-utils/stac-validator/pull/274) - Updated batch command output format to match validate command, including all fields: version, path, schema, error_type, error_message, failed_schema, recommendation [#274](https://github.com/stac-utils/stac-validator/pull/274) - Unified validator cache control with `--schema-cache-size` option to control both fetch/parse and compiled validator caching [#274](https://github.com/stac-utils/stac-validator/pull/274) - Added input validation for `--batch-size` option (minimum value: 1) [#274](https://github.com/stac-utils/stac-validator/pull/274) ### Fixed - Fixed batch command error grouping to work with new validation message format [#274](https://github.com/stac-utils/stac-validator/pull/274) - Fixed validator cache to respect runtime `--schema-cache-size` changes via dynamic cache builder [#274](https://github.com/stac-utils/stac-validator/pull/274) ## [v4.0.1] - 2026-03-31 ### Updated - Added special message about collection link missing from STAC items [#272](https://github.com/stac-utils/stac-validator/pull/272) ### Fixed - Fixed concurrency issue with using set schema size from core validator [#272](https://github.com/stac-utils/stac-validator/pull/272) ## [v4.0.0] - 2026-03-30 ### Added - **Batch Validation with Multiprocessing:** New `stac-validator batch` command for concurrent validation of multiple STAC files using all available CPU cores. Provides 10-100x performance improvement over single-threaded validation. - Auto-detection of available CPU cores with Docker/container awareness via `os.sched_getaffinity()` - Per-worker schema caching with LRU eviction for optimal memory usage (configurable via `--schema-cache-size`, default 16 schemas per worker) - Optional `--cores` flag for manual core specification (supports negative values to reserve cores for OS) - Optional `--feature-collection` flag to validate GeoJSON FeatureCollections by extracting and validating each feature individually - Optional `--schema-cache-size` flag to configure schema cache size per worker or disable caching entirely - Progress bar with `tqdm` (can be disabled with `--no-progress`) - JSON output with validation summary statistics - **Python API for Batch Validation:** New functions in `stac_validator.batch_validator` module - `validate_concurrently()` - Validate files with multiprocessing - `validate_dicts()` - Validate list of STAC item dictionaries (handles temp files internally) - `get_optimal_worker_count()` - Auto-detect CPU cores with Docker awareness - **Comprehensive Test Suite:** 16 new tests covering batch validation - 12 batch validator tests (worker count, concurrency, FeatureCollections, dict validation) - 4 CLI sys_exit tests (new subcommand structure) - **Documentation:** - First-class README section on batch validation with architecture, usage, and examples - Batch Validation as top-level section in Table of Contents - Python API examples for `validate_concurrently()` and `validate_dicts()` ### Changed - **CLI Structure:** Refactored CLI to use explicit subcommands for clarity - Old style: `stac-validator ` → New style: `stac-validator validate ` - New batch command: `stac-validator batch [options]` - Updated all tests to use new subcommand structure - Updated help text to document both validate and batch commands ## [v3.11.0] - 2026-03-27 ### Added - Added a new CLI option --schema-cache-size to control the in-memory schema cache size at runtime. - Added support for setting schema cache size to 0 to disable schema caching for low-memory environments. ### Changed - Refactored schema caching to support runtime cache reconfiguration while preserving cache inspection and clearing behavior. - Added test coverage for: - runtime schema cache size reconfiguration - zero-size cache behavior - negative cache size validation - CLI acceptance of --schema-cache-size ## [v3.10.2] - 2025-11-16 ### Fixed - Added validation for STAC version format to provide clear error messages when stac_version field is missing, empty, or incorrectly formatted (e.g., "1.1" instead of "1.1.0"). [#268](https://github.com/stac-utils/stac-validator/pull/268) ### Changed - Migrated from `setup.py` to modern `pyproject.toml` packaging (PEP 621), removing legacy `requirements-dev.txt` file. [#268](https://github.com/stac-utils/stac-validator/pull/268) ## [v3.10.1] - 2025-07-26 ### Fixed - Reverted path cleaning changes that removed `./` prefix from relative paths, which was causing compatibility issues with tools like stac-check. The validator now correctly preserves the `./` prefix for relative paths in the current directory. [#266](https://github.com/stac-utils/stac-validator/pull/266) ## [v3.10.0] - 2025-07-20 ### Added - Added detailed recursive validation summary showing validation counts by STAC object type (Catalog, Collection, etc.) [#265](https://github.com/stac-utils/stac-validator/pull/265) - Added validation duration timing that shows total processing time in a human-readable format [#265](https://github.com/stac-utils/stac-validator/pull/265) - Added support for pydantic validation in recursive mode with proper schema reporting [#265](https://github.com/stac-utils/stac-validator/pull/265) ### Changed - Standardized summary output formatting across all validation modes for consistency [#265](https://github.com/stac-utils/stac-validator/pull/265) ## [v3.9.3] - 2025-06-28 ### Changed - Improved path resolution in recursive validation to handle relative paths more reliably, especially in GitHub repository structures [#264](https://github.com/stac-utils/stac-validator/pull/264) ### Fixed - Fixed issue where validator would get confused by repository structure when validating catalogs with relative paths [#264](https://github.com/stac-utils/stac-validator/pull/264) - Cleaned up path output by removing unnecessary `./` components from displayed paths [#264](https://github.com/stac-utils/stac-validator/pull/264) ### Removed ## [v3.9.2] - 2025-06-18 ### Fixed - Fixed missing item id in the url path with --item-collection output [#263](https://github.com/stac-utils/stac-validator/pull/263) ## [v3.9.1] - 2025-06-13 ### Added - `failed_schema` field to error messages for easier error handling [#260](https://github.com/stac-utils/stac-validator/pull/260) - `recommendation` field to --verbose mode [#260](https://github.com/stac-utils/stac-validator/pull/260) ## [v3.9.0] - 2025-06-13 ### Added - Added separate `recommendation` field in error messages when running in non-verbose mode [#257](https://github.com/stac-utils/stac-validator/pull/257) - Verbose error messages for JSONSchemaValidationErrors [#257](https://github.com/stac-utils/stac-validator/pull/257) ### Changed - Changed --verbose for recursive mode to --trace-recursive to make way for more comprehensive error messaging [#257](https://github.com/stac-utils/stac-validator/pull/257) ## [v3.8.1] - 2025-06-04 ### Fixed - Fixed the pydantic extra dependency in setup.py to properly install stac-pydantic when using `pip install stac-validator[pydantic]` [#254](https://github.com/stac-utils/stac-validator/pull/254) ## [v3.8.0] - 2025-06-03 ### Added - Added `--schema-config` option to specify a YAML or JSON configuration file that maps remote schema URLs to local file paths, making it easier to validate against multiple local schemas, allowing offline validation and improved performance [#253](https://github.com/stac-utils/stac-validator/pull/253) ## [v3.7.0] - 2025-05-30 ### Added - Added a comprehensive Table of Contents to README.md [#247](https://github.com/stac-utils/stac-validator/pull/247) - Added Sponsors and Supporters section to README.md with organizational logos and acknowledgments [#247](https://github.com/stac-utils/stac-validator/pull/247) - Added `--pydantic` option for validating STAC objects using stac-pydantic models, providing enhanced type checking and validation [#249](https://github.com/stac-utils/stac-validator/pull/249) - Added optional dependency for stac-pydantic that can be installed with `pip install stac-validator[pydantic]` [#249](https://github.com/stac-utils/stac-validator/pull/249) - Added GitHub Actions workflow for automatically building and deploying documentation to GitHub Pages [#250](https://github.com/stac-utils/stac-validator/pull/250) ### Changed - Reformatted and restructured the README.md for improved readability and organization [#247](https://github.com/stac-utils/stac-validator/pull/247) - Migrated documentation from Read the Docs to GitHub Pages for better integration with the repository [#250](https://github.com/stac-utils/stac-validator/pull/250) - Updated documentation system to use Sphinx with MyST parser for improved Markdown support [#250](https://github.com/stac-utils/stac-validator/pull/250) - Enhanced documentation to include content directly from README.md for consistency [#250](https://github.com/stac-utils/stac-validator/pull/250) ## [v3.6.0] - 2025-03-25 ### Added - If a validation error occurs in recursive mode only show the invalid items unless verbose mode is on. [#243](https://github.com/stac-utils/stac-validator/pull/243) - Added ability to validate extensions of Collections [#243](https://github.com/stac-utils/stac-validator/pull/243) - Improve error reporting through use of [best_match](https://python-jsonschema.readthedocs.io/en/stable/errors/#best-match-and-relevance) [#243](https://github.com/stac-utils/stac-validator/pull/243) - Add `schema-map` option similar to [stac-node-validator SchemaMap](https://github.com/stac-utils/stac-node-validator?tab=readme-ov-file#usage) to allow validation against local copies of schemas. [#243](https://github.com/stac-utils/stac-validator/pull/243) ## [v3.5.0] - 2025-01-10 ### Added - Added publish.yml to automatically publish new releases to PyPI [#236](https://github.com/stac-utils/stac-validator/pull/236) - Configure whether to open URLs when validating assets [#238](https://github.com/stac-utils/stac-validator/pull/238) - Allow to provide HTTP headers [#239](https://github.com/stac-utils/stac-validator/pull/239) ### Changed - Switched to the referencing library for dynamic JSON schema validation and reference resolution [#241](https://github.com/stac-utils/stac-validator/pull/241) ## [v3.4.0] - 2024-10-08 ### Added - Added ability to validate response from a /collections endpoint [#220](https://github.com/stac-utils/stac-validator/issues/220) - Added mypy to pre-commit config ([#229](https://github.com/stac-utils/stac-validator/pull/224)) - Support for stac spec version 1.1.0 [#235](https://github.com/stac-utils/stac-validator/pull/235) ## [v3.3.2] - 2023-11-17 ### Added - Docstrings ([#224](https://github.com/stac-utils/stac-validator/pull/224)) ### Changed - Development dependencies removed from runtime dependency list ([#228](https://github.com/stac-utils/stac-check/pull/109)) - Remove jsonschema RefResolver ([#228](https://github.com/stac-utils/stac-check/pull/109) ## [v3.3.1] - 2022-12-16 ### Fixed - Moved --verbose messaging for --recursive as --verbose was printing out the wrong messages https://github.com/stac-utils/stac-validator/pull/222 ## [v3.3.0] - 2022-11-28 ### Added - Added --item-collection to validate local and remote item collections https://github.com/stac-utils/stac-validator/pull/219 - Added --pages to validate additional items retrieved via pagination links https://github.com/stac-utils/stac-validator/pull/219 ## [v3.2.0] - 2022-09-20 ### Added - Added ability to check local schemas in item extensions https://github.com/stac-utils/stac-validator/pull/215 - Added an example on validating a dictionary https://github.com/stac-utils/stac-validator/pull/215 ### Changed - Changed 'ValidationError' error type to 'JSONSchemaValidationError' https://github.com/stac-utils/stac-validator/pull/213 ## [v3.1.0] - 2022-04-28 ### Added - Added update stac version message to cli output https://github.com/stac-utils/stac-validator/pull/211 ### Fixed - Reordered exception handlers to avoid unreachable code https://github.com/stac-utils/stac-validator/pull/203/ - Details about invalid items are shown in the message when in recursive mode https://github.com/stac-utils/stac-validator/pull/202/ - Dockerfile - change cli command from stac_validator to stac-validator https://github.com/stac-utils/stac-validator/pull/201/ - Items with no assets key can still be valid https://github.com/stac-utils/stac-validator/pull/206 - Top-level `is_valid` flag for recursive JSONSchema exceptions https://github.com/stac-utils/stac-validator/pull/208 ### Removed - Stac-check linting as it creates a circular dependency https://github.com/stac-utils/stac-validator/pull/209 - Remove v0.7.0 test data and v0.7.0 local tests https://github.com/stac-utils/stac-validator/pull/210 - Removed pystac from dependencies https://github.com/stac-utils/stac-validator/pull/210 ## [v3.0.0] - 2022-03-11 ### Added - A note about full recursion to the `--max-depth` help text ### Fixed - Item messages are now included even if `max_depth is None` - Exit with non-zero code when validation fails ### Removed - References to Python 3.6 ## [v2.5.0] - 2022-03-10 ### Changed - Split the `--recursive` option into a `--recursive` flag and a `--max-depth` option - Renamed the entry point from `stac_validator` to `stac-validator` ## [v2.4.3] - 2022-03-10 ### Changed - Add schema caching ## [v2.4.2] - 2022-03-02 ### Changed - Loosen pystac version dependency ## [v2.4.1] - 2022-03-02 ### Changed - Loosen stac-check version dependency ## [v2.4.0] - 2022-02-02 ### Added - Linting option in cli to display stac-check generated information ## [v2.3.0] - 2021-08-31 - 2021-11-28 ### Added - Added --links option to validate links on format and a valid response - Added --assets option to validate assets on format and and a valid response - Added test_links.py - Added v1.0.0 STAC examples from radiant earth github - Added v1.0.0 examples to tests ### Changed - Upgraded pystac to 1.1.0 from 0.5.6 - Moved tests for cli options out of test_stac_validator into individual files - Moved utilities to utilities.py - Moved backend to validate.py ## [v2.2.0] - 2021-05-25 ### Added - Added Support for STAC 1.0.0 - Added more tests for STAC 1.0.0-rc.4 - Option to pass stac dictionary into validator in python with new stac_dict method ### Changed - Moved std out to cli so that it doesn't display in pure python applications - Added Pypi badges to readme ## [v2.1.0] - 2021-05-06 ### Added - Added more tests for STAC 1.0.0-rc.3 - Added basic support for rc.4 - Add system exit code to CLI. see #144 ### Changed - Modified how Lambda CDK is built ## [v2.0.0] - 2021-04-28 ### Added - Stac versions from 0.8.0 --> 1.0.0-rc.3 are now supported. - Version is detected automatically. - Default validation attempts to validate a core Stac object as well as any extensions. - Recursion which was previously handled by Pystac is now done natively with both a depth option to limit the time it takes to validate and a verbose option to display output as individual objects are being validated one by one. - Added AWS CDK deployment example. - Added FastAPI routing to CDK deployment. ### Changed - Pystac is now only being used to identify stac objects. Jsonschema is being used for all other validation. - The cli library was changed from Docopt to Click. - Custom validation was updated to allow for local schemas. ### Removed - The force, legacy, version, and update methods were removed. - stac versions where a `stac_version` field is not present are no longer supported. ## [v1.0.1] - 2020-09-01 ### Added - The ability (--update) to update a STAC object. This is based on migrate from pystac. It doesn't always work. Frequently it does. Presently it tries to update to version 1.0.0-beta.2 - A function to display what has changed via --update. This is represented in the logs as diff. - A --force option. This updates the stac_version to v0.9.0 and adds an id field as older STAC versions seem to be missing this sometimes. This seems to be especially effective with objects as old as 0.6.0 and 0.6.1 - An option (--version) to specify and set a specific version to validate against. - The --extension option. This uses pystac validation to validate against various extension schemas. - The ExtensionError, as inputing a bad value for extension caused validation in pystac to be bypassed. - The VersionError, as inputing a bad value for version was causing validation in pystac to be bypassed as well. - The --recursive option. This uses validate_all from pystac to recursively search the links from a catalog or collection. - The ability (--core) to validate against the core only. This is provided by pystac. - (--legacy). This validates agains schemas from v0.4.0 to v1.0.0-beta.1 Legacy must be accompanied by --version. - valid_versions for --legacy are: 'v0.4.0', 'v0.4.1', 'v0.5.0', 'v0.5.1', 'v0.5.2', 'v0.6.0', 'v0.6.0-rc1', 'v0.6.0-rc2', 'v0.6.1', 'v0.6.2', 'v0.7.0', 'v0.8.0', 'v0.8.0-rc1', 'v0.8.1', 'v0.9.0', 'v0.9.0-rc1', 'v0.9.0-rc2', and 'v1.0.0-beta.1' - (--custom). Validate against a custom schema - Tests to explore new functionality. ### Changed - Updated core validation to use validation from pystac instead of jsonchema. - With the newest version - 1.0.0-beta.2 - items will run through jsonchema validation before the PySTAC validation. The reason for this is that jsonschema will give more informative error messages. This should be addressed better in the future. This is not the case with the --recursive option as time can be a concern here with larger collections. - Logging. Various additions were made here depending on the options selected. This was done to help assist people to update their STAC collections. [Unreleased]: https://github.com/sparkgeo/stac-validator/compare/v4.2.2..main [v4.2.2]: https://github.com/sparkgeo/stac-validator/compare/v4.2.1..v4.2.2 [v4.2.1]: https://github.com/sparkgeo/stac-validator/compare/v4.2.0..v4.2.1 [v4.2.0]: https://github.com/sparkgeo/stac-validator/compare/v4.1.0..v4.2.0 [v4.1.0]: https://github.com/sparkgeo/stac-validator/compare/v4.0.1..v4.1.0 [v4.0.1]: https://github.com/sparkgeo/stac-validator/compare/v4.0.0..v4.0.1 [v4.0.0]: https://github.com/sparkgeo/stac-validator/compare/v3.11.0..v4.0.0 [v3.11.0]: https://github.com/sparkgeo/stac-validator/compare/v3.10.2..v3.11.0 [v3.10.2]: https://github.com/sparkgeo/stac-validator/compare/v3.10.1..v3.10.2 [v3.10.1]: https://github.com/sparkgeo/stac-validator/compare/v3.10.0..v3.10.1 [v3.10.0]: https://github.com/sparkgeo/stac-validator/compare/v3.9.3..v3.10.0 [v3.9.3]: https://github.com/sparkgeo/stac-validator/compare/v3.9.2..v3.9.3 [v3.9.2]: https://github.com/sparkgeo/stac-validator/compare/v3.9.1..v3.9.2 [v3.9.1]: https://github.com/sparkgeo/stac-validator/compare/v3.9.0..v3.9.1 [v3.9.0]: https://github.com/sparkgeo/stac-validator/compare/v3.8.1..v3.9.0 [v3.8.1]: https://github.com/sparkgeo/stac-validator/compare/v3.8.0..v3.8.1 [v3.8.0]: https://github.com/sparkgeo/stac-validator/compare/v3.7.0..v3.8.0 [v3.7.0]: https://github.com/sparkgeo/stac-validator/compare/v3.6.0..v3.7.0 [v3.6.0]: https://github.com/sparkgeo/stac-validator/compare/v3.5.0..v3.6.0 [v3.5.0]: https://github.com/sparkgeo/stac-validator/compare/v3.4.0..v3.5.0 [v3.4.0]: https://github.com/sparkgeo/stac-validator/compare/v3.3.2..v3.4.0 [v3.3.2]: https://github.com/sparkgeo/stac-validator/compare/v3.3.1..v3.3.2 [v3.3.1]: https://github.com/sparkgeo/stac-validator/compare/v3.3.0..v3.3.1 [v3.3.0]: https://github.com/sparkgeo/stac-validator/compare/v3.2.0..v3.3.0 [v3.2.0]: https://github.com/sparkgeo/stac-validator/compare/v3.1.0..v3.2.0 [v3.1.0]: https://github.com/sparkgeo/stac-validator/compare/v3.0.0..v3.1.0 [v3.0.0]: https://github.com/sparkgeo/stac-validator/compare/v2.5.0..v3.0.0 [v2.5.0]: https://github.com/sparkgeo/stac-validator/compare/v2.4.3..v2.5.0 [v2.4.3]: https://github.com/sparkgeo/stac-validator/compare/v2.3.0..v2.4.0 [v2.4.2]: https://github.com/sparkgeo/stac-validator/compare/v2.4.1..v2.4.2 [v2.4.1]: https://github.com/sparkgeo/stac-validator/compare/v2.4.0..v2.4.1 [v2.4.0]: https://github.com/sparkgeo/stac-validator/compare/v2.3.0..v2.4.0 [v2.3.0]: https://github.com/sparkgeo/stac-validator/compare/v2.2.0..v2.3.0 [v2.2.0]: https://github.com/sparkgeo/stac-validator/compare/v2.1.0..v2.2.0 [v2.1.0]: https://github.com/sparkgeo/stac-validator/compare/v2.0.0..v2.1.0 [v2.0.0]: https://github.com/sparkgeo/stac-validator/compare/v1.0.1..v2.0.0 [v1.0.1]: https://github.com/sparkgeo/stac-validator/compare/v0.5.0..v1.0.1 [v0.5.0]: https://github.com/sparkgeo/stac-validator/compare/v0.1.3..v0.5.0 [v0.1.3]: https://github.com/sparkgeo/stac-validator/compare/v0.1.1..v0.1.3 [v0.1.1]: https://github.com/sparkgeo/stac-validator/compare/v0.1.0..v0.1.1 [v0.1.0]: https://github.com/sparkgeo/stac-validator/releases/tag/v0.1.0 stac-validator-4.2.2/Dockerfile000066400000000000000000000002111517436701200164260ustar00rootroot00000000000000FROM python:3.8-slim-buster WORKDIR /code COPY . /code/ RUN pip install . && \ stac-validator --help ENTRYPOINT ["stac-validator"] stac-validator-4.2.2/LICENSE000066400000000000000000000261601517436701200154540ustar00rootroot00000000000000 Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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See the License for the specific language governing permissions and limitations under the License. stac-validator-4.2.2/Makefile000066400000000000000000000015131517436701200161020ustar00rootroot00000000000000help: ## Show this help @fgrep -h "##" $(MAKEFILE_LIST) | fgrep -v fgrep | sed -e 's/\\$$//' | sed -e 's/##//' install: ## Install using pip pip install . install-edit: ## Install using pip in edit mode pip install --editable .["test"] code-check: ## Check and format code using pre-commit pre-commit install pre-commit autoupdate pre-commit run --all-files test: ## Run the tests pytest --verbose pytest --mypy stac_validator build-docker: ## Build a Docker container docker build -t stac-validator . build-tox: ## Test stac_validator on multiple Python versions docker build -f tox/Dockerfile-tox -t stac_tox . run: ## Run the Docker Container and enter into bash docker run -it --entrypoint /bin/bash stac-validator docs: ## Build documentation locally sphinx-build -b html -E docs/ docs/_build/htmlstac-validator-4.2.2/README.md000066400000000000000000001234331517436701200157270ustar00rootroot00000000000000# SpatioTemporal Asset Catalog Validator

[![PyPI Downloads](https://static.pepy.tech/personalized-badge/stac-validator?period=total&units=NONE&left_color=GREY&right_color=BLUE&left_text=downloads)](https://pepy.tech/projects/stac-validator) [![GitHub contributors](https://img.shields.io/github/contributors/stac-utils/stac-validator?color=blue)](https://github.com/stac-utils/stac-validator/graphs/contributors) [![GitHub stars](https://img.shields.io/github/stars/stac-utils/stac-validator.svg?color=blue)](https://github.com/stac-utils/stac-validator/stargazers) [![GitHub forks](https://img.shields.io/github/forks/stac-utils/stac-validator.svg?color=blue)](https://github.com/stac-utils/stac-validator/network/members) [![PyPI version](https://img.shields.io/pypi/v/stac-validator.svg?color=blue)](https://pypi.org/project/stac-validator/) [![STAC](https://img.shields.io/badge/STAC-1.1.0-blue.svg)](https://github.com/radiantearth/stac-spec/tree/v1.1.0) > ⚠️ **IMPORTANT NOTICE: PyPI Package Renamed** ⚠️ > > Due to an administrative transition, the PyPI package name for this project has changed. The `stac-validator` package on PyPI is no longer maintained. > > To get the latest updates, bug fixes, and features (v4.2.0 and beyond), you must now install **`stac-valid`**. > > ### 🛠️ What you need to do > > You only need to update your installation command or `requirements.txt`: > ```bash > # OLD > pip install stac-validator > > # NEW > pip install stac-valid > ``` > > **Your existing Python code and CLI scripts DO NOT need to change.** > You will still use `import stac_validator` and the `stac-validator` CLI command exactly as you did before. ## Table of Contents - [Overview](#overview) - [Documentation](#documentation) - [Requirements](#requirements) - [Installation](#install) - [Supported STAC Versions](#versions-supported) - [Usage](#usage) - [CLI](#cli) - [Legacy Validation](#legacy-validation) - [Batch Validation](#batch-validation) - [Fast Validation](#fast-validation) - [Python](#python) - [Schema Cache Settings](#schema-cache-settings) - [Performance Benchmarking](#performance-benchmarking) - [Examples](#additional-examples) - [Core Validation](#--core) - [Custom Schema](#--custom) - [Extensions Validation](#--extensions) - [Recursive Validation](#--recursive) - [Item Collection Validation](#--item-collection) - [Using Headers](#--header) - [Schema Mapping](#--schema-map) - [Schema Config](#--schema-config) - [Pydantic Validation](#--pydantic) - [Deployment](#deployment) - [Docker](#docker) - [AWS (CDK)](#aws-cdk) - [Testing](#testing) - [Related Projects](#related-projects) - [Sponsors and Supporters](#sponsors-and-supporters) - [Contributing](#contributing) - [License](#license) ## Overview STAC Validator is a tool to validate [STAC (SpatioTemporal Asset Catalog)](https://github.com/radiantearth/stac-spec) json files against the official STAC specification. It provides both a command-line interface and a Python API for validating STAC objects. ## Documentation For detailed documentation, please visit our [GitHub Pages documentation site](https://stac-utils.github.io/stac-validator/). ## Validate STAC json files against the [STAC spec](https://github.com/radiantearth/stac-spec). ```bash $ stac-validator https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json ``` ```bash [ { "version": "1.0.0", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": true, "asset_type": "ITEM", "validation_method": "default" } ] ``` ## Requirements - Python 3.8+ - Requests - Click - Jsonschema ## Related Projects Note: Stac-validator is also used in stac-check which adds linting messages based on the official STAC best practices document. https://github.com/stac-utils/stac-check ## Install ### Installation from PyPi ```bash $ pip install stac-valid ``` ### Installation from Repo ```bash $ pip install . ``` or for local development ```bash $ pip install -e '.[dev]' ``` The [Makefile](./Makefile) has convenience commands if Make is installed. ```bash $ make help ``` ## Versions supported | STAC | | ------------ | | 0.8.0 | | 0.8.1 | | 0.9.0 | | 1.0.0-beta.1 | | 1.0.0-beta.2 | | 1.0.0-rc.1 | | 1.0.0-rc.2 | | 1.0.0-rc.3 | | 1.0.0-rc.4 | | 1.0.0 | | 1.1.0-beta.1 | | 1.1.0 | ## Usage ### CLI **Basic Usage** ```bash $ stac-validator --help ``` ```bash Usage: stac-validator [OPTIONS] COMMAND [ARGS]... STAC Validator - Validate STAC files against the STAC specification. Usage: stac-validator validate [options] stac-validator batch [options] stac-validator batch --item-collection [options] Options: --help Show this message and exit. Commands: batch Validate multiple STAC files concurrently using all available... validate Main function for the `stac-validator` command line tool. ``` **Validate Command** ```bash $ stac-validator validate --help ``` ```bash Usage: stac-validator validate [OPTIONS] STAC_FILE Validate a STAC file against the STAC specification. Prints validation results to the console as JSON. Exits with status code 0 if valid, 1 if invalid. Options: --core Validate core stac object only without extensions. --extensions Validate extensions only. --links Additionally validate links. Only works with default mode. --assets Additionally validate assets. Only works with default mode. -c, --custom TEXT Validate against a custom schema (local filepath or remote schema). -sc, --schema-config TEXT Validate against a custom schema config (local filepath or remote schema config). -s, --schema-map ... Schema path to replaced by (local) schema path during validation. Can be used multiple times. -r, --recursive Recursively validate all related stac objects. -m, --max-depth INTEGER Maximum depth to traverse when recursing. Omit this argument to get full recursion. Ignored if `recursive == False`. --collections Validate /collections response. --item-collection Validate item collection response. Can be combined with --pages. Defaults to one page. --no-assets-urls Disables the opening of href links when validating assets (enabled by default). --header ... HTTP header to include in the requests. Can be used multiple times. -p, --pages INTEGER Maximum number of pages to validate via --item-collection. Defaults to one page. -t, --trace-recursion Enables verbose output for recursive mode. --no_output Do not print output to console. --log_file TEXT Save full recursive output to log file (local filepath). --pydantic Validate using stac-pydantic models for enhanced type checking and validation. --verbose Enable verbose output. This will output additional information during validation. --schema-cache-size INTEGER Max number of schema entries to cache in memory. Use 0 to disable schema caching. Defaults to 16. --help Show this message and exit. ``` **Batch Command** ```bash $ stac-validator batch --help ``` ```bash Usage: stac-validator batch [OPTIONS] FILES... Validate multiple STAC files concurrently using all available CPU cores. This command uses multiprocessing to validate STAC files in parallel, bypassing Python's Global Interpreter Lock (GIL) for maximum performance. Each CPU core gets its own schema cache, which is warmed up on the first file and reused for subsequent files. Examples: # Validate all JSON files in a directory $ stac-validator batch *.json # Validate specific files $ stac-validator batch file1.json file2.json file3.json # Validate a GeoJSON FeatureCollection (validates each feature individually) $ stac-validator batch --item-collection sample_data/sentinel-cogs_0_100.json # Use only 4 cores $ stac-validator batch *.json --cores 4 # Disable progress bar $ stac-validator batch *.json --no-progress Options: --cores INTEGER Number of CPU cores to use for parallel validation. Defaults to all available cores. --no-progress Disable progress bar during validation. --no-output Do not print output to console. --item-collection Treat files as GeoJSON FeatureCollections and validate each feature individually. --verbose Show full JSON output for all items. By default, only invalid items are shown. --schema-cache-size INTEGER Max number of schema entries to cache per worker process. Use 0 to disable schema caching. Defaults to 16. --batch-size INTEGER Batch size for chunked processing. Larger batches use more memory but may be faster. Defaults to 2000. --help Show this message and exit. ``` **Fast Command** ```bash $ stac-valid fast --help ``` ```bash Usage: stac-valid fast [OPTIONS] STAC_FILE High-speed validation using fastjsonschema and local caching. Options: -q, --quiet Suppress individual item logs. -v, --verbose Show full validation logs for all items. By default, only invalid items are shown. --help Show this message and exit. ``` #### Legacy Validation The `validate` command is the main legacy validation tool with comprehensive options: ```bash # Basic single file validation $ stac-validator validate path/to/stac_file.json # Validate with custom schema $ stac-validator validate item.json --custom /path/to/schema.json # Recursively validate all related STAC objects $ stac-validator validate catalog.json --recursive --max-depth 5 # Validate collections endpoint response $ stac-validator validate https://example.com/collections --collections # Validate item collection response $ stac-validator validate https://example.com/search --item-collection --pages 10 # Validate with extensions and links $ stac-validator validate item.json --extensions --links --assets ``` **Options include:** - `--core` - Validate core STAC only (skip extensions) - `--extensions` - Validate extensions only - `--links` - Validate link objects - `--assets` - Validate asset objects - `--recursive` - Recursively validate related STAC objects - `--custom` - Validate against custom schema - `--schema-map` - Replace schema URLs during validation - `--collections` - Validate /collections endpoint response - `--item-collection` - Validate item collection responses - `--pydantic` - Use Pydantic models for validation - `--schema-cache-size` - Configure schema cache size - `--batch-size` - Configure batch size for chunked processing (batch command only) - And more (see `stac-validator validate --help`) #### Batch Validation The `batch` command validates multiple STAC files concurrently using multiprocessing to bypass Python's Global Interpreter Lock (GIL). This enables **10-100x performance improvement** over single-threaded validation by utilizing all available CPU cores. **Architecture:** - **Multiprocessing:** Each CPU core runs an independent Python process - **Per-worker schema cache:** Each worker maintains its own LRU cache of downloaded schemas (default 16 per worker) - **Cache warmup:** First file on each worker downloads schemas, subsequent files use cached copies - **Configurable cache:** Use `--schema-cache-size` to adjust cache size per worker (0 = disabled) - **Linear scaling:** Performance scales linearly with available cores (e.g., 8 cores = ~8x faster) - **Container-aware:** Automatically detects Docker/ECS CPU limits via `os.sched_getaffinity()` **Basic Usage** ```bash # Validate all JSON files in current directory $ stac-validator batch *.json # Validate specific files $ stac-validator batch item1.json item2.json item3.json # Validate a FeatureCollection (extracts and validates each feature) $ stac-validator batch collection.json --item-collection ``` **Options** ```bash # Use specific number of cores $ stac-validator batch *.json --cores 4 # Reserve cores for OS (useful on local machines) $ stac-validator batch *.json --cores -1 # Uses all cores minus 1 # Disable progress bar (for CI/CD environments) $ stac-validator batch *.json --no-progress # Suppress JSON output (show only summary) $ stac-validator batch *.json --no-output # Configure schema cache size per worker (default: 16 schemas per worker) $ stac-validator batch *.json --schema-cache-size 32 # Disable schema caching entirely $ stac-validator batch *.json --schema-cache-size 0 # Configure batch size for chunked processing (default: 2000 items per chunk) $ stac-validator batch *.json --batch-size 5000 # Use larger batch size for faster processing (uses more memory) $ stac-validator batch collection.json --item-collection --batch-size 10000 # Use smaller batch size for memory-constrained environments $ stac-validator batch *.json --batch-size 500 ``` **Batch Size Configuration** The `--batch-size` option controls how many items are processed in each chunk. This affects memory usage and performance: - **Default (2000):** Balanced memory usage and performance for most systems - **Larger values (5000-10000):** Faster processing on systems with abundant memory; reduces overhead from creating multiple worker pools - **Smaller values (500-1000):** Lower memory footprint; useful on memory-constrained systems or when validating very large items **How It Works** 1. **Startup:** Detects available CPU cores (respects Docker limits) 2. **Distribution:** Distributes files across worker processes 3. **Validation:** Each worker validates files independently 4. **Schema Caching:** Each worker maintains its own LRU cache (default 16 schemas per worker) - First file on a worker: schemas are fetched and cached - Subsequent files: schemas are reused from cache (no network/disk I/O) - Total memory: up to `cores × schema_cache_size` schemas in memory 5. **Results:** Aggregates results and displays summary statistics **Example Output** ```bash $ stac-validator batch --item-collection sample_data/sentinel-cogs_0_100.json [ { "path": "sample_data/sentinel-cogs_0_100.json[0]", "valid_stac": false, "errors": [ "'eo:bands' does not match any of the regexes: '^(?!eo:)'. Error is in properties " ] } ] Validation Summary: Total files: 100 CPU cores used: 16 ✅ Valid: 99 ❌ Invalid: 1 Failed validations: sample_data/sentinel-cogs_0_100.json[0] - 'eo:bands' does not match any of the regexes: '^(?!eo:)'. Error is in properties Validation completed in 1.10s ``` **Performance Characteristics** | Scenario | Single-threaded | Batch (8 cores) | Speedup | |----------|-----------------|-----------------|---------| | 10000 items | ~130 seconds | ~22 seconds | 5.9x | *Times vary based on schema complexity and network latency for first download* **Python API** ```python from stac_validator.batch_validator import validate_concurrently # Validate files results = validate_concurrently( ["item1.json", "item2.json", "item3.json"], max_workers=None, # Auto-detect cores show_progress=True ) # Validate FeatureCollections results = validate_concurrently( ["collection.json"], feature_collection=True, max_workers=8 ) # Process results for result in results: if result["valid_stac"]: print(f"✅ {result['path']}") else: print(f"❌ {result['path']}") for error in result.get("errors", []): print(f" - {error}") ``` **Use Cases** - **Bulk ingestion:** Validate thousands of STAC items from ESA, Copernicus, or other catalogs - **CI/CD pipelines:** Validate entire dataset collections in GitHub Actions or AWS CodePipeline - **Data quality checks:** Periodically validate all items in a STAC catalog - **Migration validation:** Verify all items when upgrading STAC versions - **API preprocessing:** Validate incoming FeatureCollections before storage (see FastAPI integration) #### Fast Validation The `fast` command provides ultra-high-speed validation using `fastjsonschema` with intelligent caching. It's optimized for large FeatureCollections, delivering **batch-like performance with significantly lower memory overhead** by using a single-threaded, compiled validator approach instead of multiprocessing. **Key Features:** - **fastjsonschema:** Compiled validators for 10-100x faster validation than standard jsonschema - **Single-threaded:** No multiprocessing overhead - ideal for memory-constrained environments - **Batch-comparable speed:** Similar throughput to batch command but with minimal memory footprint - **Multi-tier caching:** RAM → Disk → Network with automatic fallback - **Local schema storage:** Schemas cached locally under `local_schemas/.schemas` directory for instant reuse - **Automatic detection:** Detects STAC type (Item, Collection, Catalog, FeatureCollection) automatically - **Detailed metrics:** Shows setup time, execution time, and cache hit status for each item - **Error grouping:** Groups validation errors by type and shows affected items **Basic Usage** ```bash # Validate a single STAC Item $ stac-validator fast item.json # Validate a FeatureCollection (validates each feature) $ stac-validator fast collection.json # Validate a STAC Collection $ stac-validator fast collection-metadata.json # Validate a STAC Catalog $ stac-validator fast catalog.json ``` **Options** ```bash # Suppress output (only show summary) $ stac-validator fast item.json --quiet # Show detailed output for all items (default shows first 5) $ stac-validator fast collection.json --verbose # Combine options $ stac-validator fast collection.json --verbose --quiet # Quiet takes precedence ``` **Example Output** ```bash $ stac-validator fast sample_data/sentinel-cogs_0_100.json 📂 Loading: sample_data/sentinel-cogs_0_100.json 📦 Detected FeatureCollection (100 Items) [1] ID: S2B_1CDH_20191211_0_L2A | Type: Item | Cache 🐌 | Setup: 125.34ms | Exec: 2.45ms | ✅ VALID [2] ID: S2B_1CDH_20191220_0_L2A | Type: Item | Cache ⚡ | Setup: 0.12ms | Exec: 1.89ms | ✅ VALID [3] ID: S2B_1CDH_20191230_0_L2A | Type: Item | Cache ⚡ | Setup: 0.08ms | Exec: 2.12ms | ❌ INVALID [4] ID: S2B_1CCV_20191029_0_L2A | Type: Item | Cache ⚡ | Setup: 0.09ms | Exec: 1.95ms | ✅ VALID [5] ID: S2B_1CCV_20191128_0_L2A | Type: Item | Cache ⚡ | Setup: 0.07ms | Exec: 2.03ms | ✅ VALID ... silencing output for remaining items (validating at maximum speed) ... ======================================================= 📊 VALIDATION SUMMARY ======================================================= Total Objects Processed : 100 Valid Objects : 46 Invalid Objects : 54 ------------------------------------------------------- Total Setup Time : 144.35 ms Total Execution Time : 25.74 ms Average Exec per Object : 0.257 ms ======================================================= 🚨 ERROR BREAKDOWN ======================================================= ❌ STAC Spec Violation: Missing {'rel': 'collection'} in links array. Affected Items: 54 Examples: S2B_1CCV_20190102_0_L2A, S2B_1CCV_20190122_0_L2A, S2B_1CCV_20191029_0_L2A ... (and 51 more) ``` **Cache Indicators** - **🐌 (Slow):** First validation - schemas being fetched and compiled - **⚡ (Lightning):** Cached validator - instant execution using pre-compiled validator **Schema Caching & Performance Improvement** The fast validator uses a multi-tier caching strategy that dramatically speeds up subsequent runs: 1. **First Run:** Schemas are downloaded from the network and compiled with `fastjsonschema` - Setup time: 5-6 seconds (includes network fetch for all schemas + compilation) - Per-item execution: 0.25ms - Total for 100 items: ~5.4 seconds - Total for 1000 items: ~10-11 seconds 2. **Subsequent Runs:** Schemas are loaded from local disk cache (`.schemas/` directory) - Setup time: 100-200ms (instant disk read + compilation from cache) - Per-item execution: 0.25ms - Total for 100 items: ~150-200ms - Total for 1000 items: ~400-500ms (0.4-0.5 seconds) - **Speedup: 20-25x faster** compared to first run **Cache Storage:** Schemas are automatically cached in `local_schemas/.schemas/` directory: ``` local_schemas/ └── .schemas/ ``` This means: - ✅ No network calls on subsequent validations - ✅ Instant schema availability across multiple runs - ✅ Persistent cache survives process restarts - ✅ Minimal disk space usage (schemas are typically <100KB each) **Performance Characteristics** The fast validator is optimized for: - Large FeatureCollections (100-100,000+ items) - Memory-constrained environments (single-threaded, no multiprocessing) - Rapid iteration during development - CI/CD pipelines where speed and memory efficiency are critical Typical performance (subsequent runs with disk cache): - **Setup time:** 100-200ms (disk read + compilation from cached schemas) - **Per-item execution:** 0.23-0.25ms (compiled fastjsonschema validator) - **Total time for 100 items:** ~150-200ms - **Total time for 1000 items:** ~400-500ms (0.4-0.5 seconds) - **Memory footprint:** Single process, minimal overhead (vs. batch's multiprocessing overhead) **Batch vs. Fast Comparison** | Metric | Batch | Fast | |--------|-------|------| | Memory | High (multiprocessing) | Low (single-threaded) | | CPU cores | All available | Single core | | Best for | Large systems with many cores | Memory-constrained or single-core systems | | FeatureCollections | Excellent | Excellent | | Large datasets | Excellent | Good | **Python API** ```python from stac_validator.fast_validator import FastValidator # Validate a file validator = FastValidator("item.json", quiet=False, verbose=False) validator.run() # Check if valid if validator.valid: print("✅ Valid STAC") else: print("❌ Invalid STAC") ``` **Choosing the Right Command** | Use Case | Command | Why | |----------|---------|-----| | Single file validation | `validate` | Full feature set, detailed error messages, extensions support | | Large FeatureCollections (memory-constrained) | `fast` | Batch-like speed, single-threaded, minimal memory overhead | | Bulk validation (1000+ files, multi-core systems) | `batch` | Multiprocessing, utilizes all CPU cores, scales linearly | | Quick validation with detailed metrics | `fast` | Ultra-fast with fastjsonschema, timing info per item, auto-detection | | CI/CD pipelines (memory-limited) | `fast` | Fast, low memory, suitable for containers and serverless | | CI/CD pipelines (resource-rich) | `batch` | Parallelization, maximum throughput, consistent output | | Development/testing | `fast` | Instant feedback, detailed metrics, minimal overhead | | Complex validation rules | `validate` | Full control over validation options, recursive validation | ### Python **Single File Validation** ```python from stac_validator import stac_validator # Remote source stac = stac_validator.StacValidate("https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json") stac.run() print(stac.message) # Local file stac = stac_validator.StacValidate("tests/test_data/1beta1/sentinel2.json", extensions=True) stac.run() print(stac.message) ``` **Dictionary Validation** ```python from stac_validator import stac_validator stac = stac_validator.StacValidate() stac.validate_dict(item_dict) print(stac.message) ``` **Batch Validation - List of Dictionaries** For validating dictionaries directly without managing temp files, use `validate_dicts()`: ```python from stac_validator.batch_validator import validate_dicts items = [ {"type": "Feature", "stac_version": "1.1.0", ...}, {"type": "Feature", "stac_version": "1.1.0", ...}, {"type": "Feature", "stac_version": "1.1.0", ...}, ] # Validate all items concurrently (temp files handled internally) results = validate_dicts(items, max_workers=None, show_progress=True) print(f"Total: {len(results)}") print(f"Valid: {sum(1 for r in results if r['valid_stac'])}") print(f"Invalid: {sum(1 for r in results if not r['valid_stac'])}") # Process results for result in results: if result["valid_stac"]: print(f"✅ Valid") else: print(f"❌ Invalid: {result.get('errors', [])}") ``` **Parameters:** - `items` - List of STAC item dictionaries - `max_workers` - CPU cores to use (None = auto-detect, positive int = specific cores, negative int = all minus N) - `show_progress` - Display progress bar (default: True) - `chunk_size` - Number of items to process at a time to bound disk and memory usage (default: 1000) **Batch Validation - FeatureCollection (Concurrent with Multiprocessing)** For FeatureCollection validation with multiprocessing, use `validate_concurrently()` with `feature_collection=True`: ```python from stac_validator.batch_validator import validate_concurrently # Validate FeatureCollection files directly (10-100x faster for large collections) results = validate_concurrently( ["collection1.json", "collection2.json"], feature_collection=True, # Expand and validate each feature max_workers=None # Auto-detect cores ) print(f"Total features: {len(results)}") print(f"Valid: {sum(1 for r in results if r['valid_stac'])}") print(f"Invalid: {sum(1 for r in results if not r['valid_stac'])}") # Process results for result in results: if result["valid_stac"]: print(f"✅ Feature valid") else: print(f"❌ Feature invalid: {result.get('errors', [])}") ``` **Batch Validation - Multiple Files** ```python from stac_validator.batch_validator import validate_concurrently files = [ "item1.json", "item2.json", "item3.json", ] # Validate files concurrently using all available CPU cores results = validate_concurrently( files, max_workers=None, # Auto-detect cores show_progress=True ) # Process results for result in results: if result["valid_stac"]: print(f"✅ {result['path']}") else: print(f"❌ {result['path']}: {result.get('errors', [])}") ``` **Batch Validation - FeatureCollection Files** ```python from stac_validator.batch_validator import validate_concurrently files = ["collection1.json", "collection2.json"] # Validate FeatureCollections by extracting and validating each feature results = validate_concurrently( files, feature_collection=True, max_workers=8 ) # Results show feature index: "collection1.json[0]", "collection1.json[1]", etc. for result in results: print(f"{result['path']}: {'✅' if result['valid_stac'] else '❌'}") ``` **Item Collection Validation** ```python from stac_validator import stac_validator stac = stac_validator.StacValidate() stac.validate_item_collection_dict(item_collection_dict) print(stac.message) ``` **Fast Validation (High-Speed with Local Caching)** For large FeatureCollections or when you need maximum speed with minimal memory overhead: ```python from stac_validator.fast_validator import FastValidator import json # Validate a FeatureCollection or single STAC object fv = FastValidator("large_collection.json", quiet=True) fv.run() # Access validation results via the message attribute print(json.dumps(fv.message, indent=2)) # Example output: # { # "path": "large_collection.json", # "valid_stac": true, # "stac_versions": ["1.0.0", "1.1.0"], # "schemas_checked": [ # "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", # "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json", # "https://stac-extensions.github.io/projection/v1.0.0/schema.json" # ], # "total_objects": 1000, # "valid_objects": 998, # "invalid_objects": 2, # "setup_time_ms": 145.32, # "execution_time_ms": 245.67, # "errors": [ # { # "error_message": "STAC Spec Violation: Missing {'rel': 'collection'} in links array.", # "affected_items": ["item_1", "item_2"], # "count": 2 # } # ] # } # Check validity if fv.valid: print(f"✅ All {fv.message[0]['valid_objects']} items are valid") else: print(f"❌ {fv.message[0]['invalid_objects']} items failed validation") for error in fv.message[0]['errors']: print(f" - {error['error_message']}: {error['count']} items affected") ``` **Configure Schema Cache Size** ```python from stac_validator import stac_validator from stac_validator.utilities import set_schema_cache_size # Set once at app startup (process-wide) set_schema_cache_size(16) # use 0 to disable caching stac = stac_validator.StacValidate() stac.validate_dict(dictionary) print(stac.message) ``` ### Schema Cache Settings - Default schema cache size is 16 entries. - Use `--schema-cache-size` in the CLI or `set_schema_cache_size(...)` in Python to override it. - Use `0` to disable schema caching. Use `set_schema_cache_size` once at application startup: ```python from stac_validator.utilities import set_schema_cache_size # Examples: set_schema_cache_size(16) # small cache for low-memory deployments set_schema_cache_size(64) # moderate cache for long-running services set_schema_cache_size(0) # disable schema caching ``` Notes: - `StacValidate()` and `validate_dict()` do not accept a cache-size parameter. - Changing cache size at runtime replaces the cache instance and drops existing cached entries. - In multi-worker deployments, configure cache size in each worker process. ## Performance Benchmarking A benchmark script is included to compare the performance of batch validation vs legacy item-collection validation. This is useful for understanding the performance improvements of the multiprocessing batch validator. ### Running the Benchmark ```bash # Test with 10,000 items (default) python benchmark_validation.py # Test with custom number of items python benchmark_validation.py --items 5000 python benchmark_validation.py --items 50000 # Run only batch validation (skip slow legacy validation) python benchmark_validation.py --items 10000 --batch-only # Run only legacy validation python benchmark_validation.py --items 10000 --legacy-only # View all options python benchmark_validation.py --help ``` ### Example Output ``` ====================================================================== BENCHMARK RESULTS ====================================================================== Items tested: 10000 Batch Validation (multiprocessing): Time: 22.43s ✅ Valid: 0 ❌ Invalid: 10000 Legacy Validation (single-threaded): Time: 131.62s ✅ Valid: 0 ❌ Invalid: 10000 ====================================================================== Speedup: 5.9x faster with batch validation Time saved: 109.19s ``` ### Interpreting Results - **Speedup Factor**: Shows how many times faster batch validation is compared to legacy validation - **Time Saved**: The absolute time difference in seconds - **CPU Cores Used**: Number of CPU cores utilized by batch validation (typically all available cores) The batch validator's multiprocessing approach provides significant performance improvements, especially for large datasets. The speedup factor varies based on: - Number of CPU cores available - Size of the dataset - Complexity of validation (extensions, custom schemas, etc.) ## Deployment ### Docker The validator can run using docker containers. ```bash $ docker build -t stac-validator . $ docker run stac-validator https://raw.githubusercontent.com/stac-extensions/projection/main/examples/item.json ``` ```bash [ { "version": "1.0.0", "path": "https://raw.githubusercontent.com/stac-extensions/projection/main/examples/item.json", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": true, "asset_type": "ITEM", "validation_method": "default" } ] ``` ### AWS (CDK) An example [AWS CDK](https://aws.amazon.com/cdk/) deployment is available in [cdk-deployment](./cdk-deployment/README.md) ```bash $ cd cdk-deployment $ cdk diff ``` ## Testing ```bash $ make test # or $ pytest -v ``` See the [tests](./tests/test_stac_validator.py) files for examples on different usages. ## Additional Examples ### --core ```bash $ stac-validator https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json --core ``` ```bash [ { "version": "1.0.0", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": true, "asset_type": "ITEM", "validation_method": "core" } ] ``` ### --custom ```bash $ stac-validator https://radarstac.s3.amazonaws.com/stac/catalog.json --custom https://cdn.staclint.com/v0.7.0/catalog.json ``` ```bash [ { "version": "0.7.0", "path": "https://radarstac.s3.amazonaws.com/stac/catalog.json", "schema": [ "https://cdn.staclint.com/v0.7.0/catalog.json" ], "asset_type": "CATALOG", "validation_method": "custom", "valid_stac": true } ] ``` ### --extensions ```bash $ stac-validator https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json --extensions ``` ```bash [ { "version": "1.0.0", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json" ], "valid_stac": true, "asset_type": "ITEM", "validation_method": "extensions" } ] ``` ### --recursive ```bash $ stac-validator https://spot-canada-ortho.s3.amazonaws.com/catalog.json --recursive --max-depth 1 --trace-recursion ``` ```bash [ { "version": "0.8.1", "path": "https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot4_orthoimages/collection.json", "schema": "https://cdn.staclint.com/v0.8.1/collection.json", "asset_type": "COLLECTION", "validation_method": "recursive", "valid_stac": true }, { "version": "0.8.1", "path": "https://canada-spot-ortho.s3.amazonaws.com/canada_spot_orthoimages/canada_spot5_orthoimages/collection.json", "schema": "https://cdn.staclint.com/v0.8.1/collection.json", "asset_type": "COLLECTION", "validation_method": "recursive", "valid_stac": true }, { "version": "0.8.1", "path": "https://spot-canada-ortho.s3.amazonaws.com/catalog.json", "schema": "https://cdn.staclint.com/v0.8.1/catalog.json", "asset_type": "CATALOG", "validation_method": "recursive", "valid_stac": true } ] ``` ### --item-collection ```bash $ stac-validator https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a/items --item-collection --pages 2 ``` ### --header ```bash $ stac-validator https://stac-catalog.eu/collections/sentinel-s2-l2a/items --header x-api-key $MY_API_KEY --header foo bar ``` ### --schema-map Schema map allows stac-validator to replace a schema in a STAC json by a schema from another URL or local schema file. This is especially useful when developing a schema and testing validation against your local copy of the schema. ```bash $ stac-validator https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0/examples/extended-item.json --extensions --schema-map https://stac-extensions.github.io/projection/v1.0.0/schema.json "tests/test_data/schema/v1.0.0/projection.json" ``` ```bash [ { "version": "1.0.0", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0/examples/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "tests/test_data/schema/v1.0.0/projection.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json" ], "valid_stac": true, "asset_type": "ITEM", "validation_method": "extensions" } ] ``` This option is also capable of replacing URLs to subschemas: ```bash $ stac-validator tests/test_data/v100/extended-item-local.json --custom tests/test_data/schema/v1.0.0/item_with_unreachable_url.json --schema-map https://geojson-wrong-url.org/schema/Feature.json https://geojson.org/schema/Feature.json --schema-map https://geojson-wrong-url.org/schema/Geometry.json https://geojson.org/schema/Geometry.json ``` ```bash [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item-local.json", "schema": [ "tests/test_data/schema/v1.0.0/item_with_unreachable_url.json" ], "valid_stac": true, "asset_type": "ITEM", "validation_method": "custom" } ] ``` ### --schema-config The `--schema-config` option allows you to specify a YAML or JSON configuration file that maps remote schema URLs to local file paths. This is useful when you need to validate against multiple local schemas and want to avoid using multiple `--schema-map` arguments. Example schema config file (YAML): ```yaml schemas: "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json": "local_schemas/v1.0.0/collection.json" "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json": "local_schemas/v1.0.0/item.json" "https://stac-extensions.github.io/eo/v1.0.0/schema.json": "local_schemas/v1.0.0/eo.json" ``` Usage: ```bash $ stac-validator https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0/examples/extended-item.json --schema-config path/to/schema_config.yaml ``` The paths in the config file can be absolute or relative to the config file's location. ### --pydantic The `--pydantic` option provides enhanced validation using stac-pydantic models, which offer stronger type checking and more detailed error messages. To use this feature, you need to install the optional dependency: ```bash $ pip install stac-valid[pydantic] ``` Then you can validate your STAC objects using Pydantic models: ```bash $ stac-validator https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json --pydantic ``` ```bash [ { "version": "1.0.0", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json", "schema": [ "stac-pydantic Item model" ], "valid_stac": true, "asset_type": "ITEM", "validation_method": "pydantic", "extension_schemas": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json" ], "model_validation": "passed" } ] ``` ## Sponsors and Supporters The following organizations have contributed time and/or funding to support the development of this project: - [Healy Hyperspatial](https://healy-hyperspatial.github.io/) - [Radiant Earth Foundation](https://radiant.earth/) - [Sparkgeo](https://sparkgeo.com/) - [CloudFerro](https://cloudferro.com/)

Healy Hyperspatial Radiant Earth Foundation Sparkgeo CloudFerro

## Contributing Contributions are welcome! 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C*{lSKYV,Ry,7kzBU|bm!0dij6mDjl\Oհvvv@@@`?V[Zijk󕐷z~Nkc31˫EwF@Ytlze^2:4Z⪟Du˝j7DŽ-"                    PWzȅ  wX.@@xC`a` \֥sg>؏  AowF@υzǟ0!#S"pON_@8{ݼ:g         0wNj5f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd;D#m}{2HMB@@ o{ޖ1ԅȅ_,#_~/KwƪΆ\   k9Rq9˴bnDὺޫP2`[ sM:74b(S5@@ֺVmZi|%䭶^_b*r+}Dp)*cq̧'Qrs2 G1a                     X`i{w@@矆c3@@ }@//0.;'b@@+whn__a&@) ܼ:!p(DΞ:{7Ocp3        \s c1wީ7v*B{^ּvxSv[1镫X slCLu^Yz٢Tuo-myc/iSmK;qОyc8Fdre:I-'5TjrKk2S/ʖQ2i:k1wƸ)zdy<=U5ycm%sppG.^JX  |XQro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=s"8kuMO8YSTK\zS9#E@@VG2^VOu!                 ߤSs\B@FI뷟-W@@oP`a|+cI ߚ˺t̷,փ |_-{ @SU.@o@\ !pIݻyu46.@N_} 0=;G@@@@@@@@  Su>k6f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd;D#m}{ c,@@@!(乷e u!r!EȗtR"?   0Z6ee\2-r[(Qx*TŪ'!}0C&0ffӆNf ͆T kll@@C`f[V1_ yWd66\t~l9@`:zxJǦXe,Cc%ITwܩ朌}xL"                      ,;(D.@@t\޿03  ,,⃑w@;]  0 m@`:(׿w?ь AY7|!B  S'u!A@@@@@@@@;~|߻cvonSo.}/TyzE?7j Zob.+W.~2뼲0E9b,Z8<:_Ӧ*+|'w8U=&q$Fɼ.ԭtoZlOjV 店dj!*Ɨ!^Z-dFu/dbұq/=S2>4'c;~yz?kʙnKc!k[y|w~1  |@Qro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=1gJǽFdlr=x/OOGyMX9337wmOwG.^{AX   BF7ʽQsoBB@//藥D^;cUgC.@@@`Hrﵜmj)ʸeZ 1fPx ^]UUOLC`-L`9Sͦ HS 1َ  jk]+ͶV[m4cV[گrmlf1fyc>s"8kuMO8YSTK\zS9#E@@@@@@@@@@@@@@@@@@@@@!XZyw~Q\  #p_?3+  ,,⃑?GxE @8Wo#Hz|wv'AW@,pqǃ֎8}րGd8@a8{ݼ:[cO         oc{7f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd>.]\5H Aj2  (dTx<.D.@b~YJ3Vu6B@@T ^٦YXnv ^X4B`&l=lЉ4lCa   ~ֵlkJ3+!oZ,fcW1@_ߏ3'VGOT˼e>uhLU?ꮗ;՜1o8 [D@@@@@@@@@@@@@@@@@@@@rW!)C@]~Ѝ ?~ de  C'xT e\֥sg |Eo}٘ @K Ϩ*|@xW@O@E IDAT-w?=xߋ ֓@a8{ݼ:c_         s·)S{{wzcw=~"lokl7׫/1U[hzs^e0v9˔Y畅᭗-ʹLUf¹ؖq=6Vd\;176c$1NM/wn]xb{RMʨf(׽&S Q1 1Ҫl%6x!smm{陒q?q~O&Qu^0Vv[2둋׶>޽x|w~1  |@Qro2@"eo:e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=F쩓wt         9[1ֿ˘ۻ[K =f{k^cq^}ύB[U,9ˡ_:, olQe7Ŷ<Η)% 8qUpFhϼI#t2oz u2ۤۓoUF5C5ZeVe(Q ٵtl|lcKϔ{={2_珪}a@OrYΝ@~}C+b) +ϕQzǟ@Uɑ/E ~ "@>(pIݻy        )0wN e3f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻdwk[<{nx|w~1  |@Qro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z= 1@`W.ҹ3@@,׿C}.@/;@`ǟ۝{03S"S'u9@8}7* ߐډ@@@@@@@@9[;1f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd7;g8D#m rWd,@@>,PȨF7 ymC]\ A27>+1~glυ   @M-eYLK! Aޫ U*iH L8zٴizC!r=U!1A@@XmkjfWBjU:Y,,b,݁rgNgұ2y'|Иj~]/w9'cxp                     0Oν`  ܸn\q  C-x_ zl@`0W.ҹ3Q@@}8}>̴ OT.tW7r Y4 ^oʈ 0 =uRn^ƭ'@@@@@@@@s·i{{wzcw=~"lokl7׫/1U[hzs^e0v9˔Y畅᭗-ʹLUf¹ؖq=6Vd\;176c$1NM/wn]xb{RMʨf(׽&S Q1 1Ҫl%6x!smm{陒q?q~O&Qu^0Vv[2̏BpG.^$@@@ o{ޖ1ԅȅ_,#_~/KwƪΆ\   k9Rq9˴bnDὺޫP2`[ sM:74b(S5@@ֺVmZi|%䭶^_b*r+}Dp)*cq̧'Qrs2 G1a                     #.JW@@ ?ƅ̆  0 `$&@7+uܙmF@Q[>@%>ϩ\ =~#w X_n^_N1 2 4[O56t"M5[oh6PjX;d;f;   u4ZmҌJ[mjV'˵ŘU;Wc̉# S:6=U2/dOS-qON5d c@@@@@@@@@@@@@@@@@@@@@+ia  _Qkeɯ8+S! }f wΝH  ǝY@/!g/ʘ$p=?Gii_n^Ñ~<}o Ξ:{7~@@@@@@@@@`8Ω:bz]n_y5[ۍ~nLm"\Wb7̱]2eyeaxer.SžYp.y\uM)U.WNq7B{MIy][$&؞|S2u/BT/CL*[Fɤ,^Ȯܥcc^zd|iO&wߓt?T7?33{?;ss{ݖp~>!xmg{ r8B@@2*QB{[P" pPz|O,%J:s!  C*{lSKYV,Ry,7kzBU|bm!0dij6mDjl\Oհvvv@@@`?V[Zijk󕐷z~Nkc31˫EwF@Ytlze^2:4Z⪟Du˝j7DŽ-"                     -x_ A@wXnM!r!  0($ /0.;3e  0/vl %~;gNʀ 7-pqoz,뷾D̂ pΞ:{7=x@@@@@@@@|s·c{WeݭwݥОW58^TmV-Bez*}/SfW^(2U]E b[X~ڔr[qNǸ#g$h:7܅uNmRI7*\ҚL-D2KeLڨZ]:}>1gJǽFdlr=x/OOGyMX9337wm|Pk[x|w~1  |@Qro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=?V        *0wN&cڌٽNPj5ܘ-jEL\Ųoceʬ\}h\l|ORn\2P߉Wo1M'󦗻P.IMj=ZeT3^Z_ziUIY]KǶ6ƽL蟌M8'~:o+gf~vn-bH z⵭A?R@@@!(乷e u!r!EȗR"?   0Z6ee\2-r[(Qx*TŪ'!}0C&0ffӆNf ͆T kll@@C`f[V1_ yWd66\t~l9@`:zxJǦXe,Cc%ITwܩ朌}xL"                     ,ү  ~4   }Cf \֥sg4  _W ׿Nl _D:&U IDATwAvިl}"#/;#@@|A":         0o`X^8cvonSo.}/TyzE?7j Zob.+W.~2뼲0E9b,Z8<:_Ӧ*+|'w8U=&q$Fɼ.ԭtoZlOjV 店dj!*Ɨ!^Z-dFu/dbұq/=S2>4'c;~yz?kʙnKf[?~s]\|D@@@!(乷e u!r!EȗR"?   0Z6ee\2-r[(Qx*TŪ'!}0C&0ffӆNf ͆T kll@@C`f[V1_ yWd66\t~l9@`:zxJǦXe,Cc%ITwܩ朌}xL"                     { ,,@@S'uկ4   7@`W.ҹ3@@$խ+4 _R |6 Q@V^ NWS'ܺY0 V[@R_e(M!        oc{aݭwݥОW58^TmV-Bez*}/SfW^(2U]E b[X~ڔr[qNǸ#g$h:7܅uNmRI7*\ҚL-D2KeLڨZ]:}>1gJǽFdlr=x/OOGyMX9337wm|??!xmk4r8B@@2*QB{[P" pPz|O,%J:s!  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WX@ @ @Ie1 @ @ @ @ @ @ @ @ @ @IO IDAT @ @ @ @ @ @ @ @ @ @ @ @ @ @\,0.> @ @ p @ @VM @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @k 3 @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @H_b @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @>%+&@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @H_b @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @>%+&@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @H_b @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @>%+&@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @H_b @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @>%+&@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @H_b @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @>%+&@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @H_b @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @U qx @ @ @ @ @/ | @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ P&^ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @q@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ /Y1 @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @@@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @A. IDAT @ @ @ @ @ @ @ @ @ @ @ @ @ @A@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ /Y1 @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @@@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @A@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ /Y1 @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @@@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @A@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ /Y1 @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @@@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @A@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ /Y1 @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @@@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @A@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ /Y1 @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @  @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @@@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @A@ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ /Y1 @ @ @ @ @ @ @ @`0$ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ @ p@N str: """ Generate a test GeoJSON FeatureCollection with STAC items. About 2/3 of items will be valid (with collection link) and 1/3 will be invalid (missing collection link) to create a realistic mix. Args: num_items: Number of items to generate Returns: Path to the temporary GeoJSON file """ print(f"Generating test FeatureCollection with {num_items} items...") # Load a sample item sample_item_path = Path(__file__).parent / "sample_data" / "sentinel-cogs-test.json" if not sample_item_path.exists(): print(f"Error: Sample item not found at {sample_item_path}") sys.exit(1) with open(sample_item_path) as f: sample_item = json.load(f) # Create a FeatureCollection with a mix of valid and invalid items features = [] valid_count = 0 invalid_count = 0 for i in range(num_items): item = copy.deepcopy(sample_item) item["id"] = f"{item.get('id', 'item')}-{i}" # Make ~2/3 of items valid by adding a collection link if i % 3 != 0: # 2 out of 3 items # Add a collection link if it doesn't exist if "links" not in item: item["links"] = [] else: # Deep copy the links list to avoid modifying the original item["links"] = copy.deepcopy(item["links"]) # Check if collection link already exists has_collection_link = any( link.get("rel") == "collection" for link in item.get("links", []) ) if not has_collection_link: item["links"].append( { "rel": "collection", "href": f"https://example.com/collections/{item.get('collection', 'unknown')}", "type": "application/json", } ) valid_count += 1 else: # Keep ~1/3 of items invalid (missing collection link) invalid_count += 1 features.append(item) feature_collection = {"type": "FeatureCollection", "features": features} # Write to temporary file temp_file = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) json.dump(feature_collection, temp_file) temp_file.close() print(f"Test FeatureCollection created: {temp_file.name}") print(f" Valid items (with collection link): {valid_count}") print(f" Invalid items (missing collection link): {invalid_count}") return temp_file.name def run_batch_validation(file_path: str, batch_size: int = 2000) -> dict: """ Run batch validation with --item-collection. """ print("\n" + "=" * 70) print("BENCHMARK 1: stac-validator batch --item-collection") print("=" * 70) start_time = time.time() # Use Popen to capture output AND print it in real-time process = subprocess.Popen( [ "stac-validator", "batch", "--item-collection", "--batch-size", str(batch_size), file_path, ], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1, universal_newlines=True, ) output_lines = [] # Read output line-by-line as it's generated for line in process.stdout: sys.stdout.write(line) sys.stdout.flush() output_lines.append(line) process.wait() elapsed = time.time() - start_time # Parse the output to extract valid/invalid counts valid_count = 0 invalid_count = 0 for line in output_lines: if "✅ Valid:" in line: try: valid_count = int(line.split("✅ Valid:")[1].split()[0]) except (IndexError, ValueError): pass elif "❌ Invalid:" in line: try: invalid_count = int(line.split("❌ Invalid:")[1].split()[0]) except (IndexError, ValueError): pass return { "method": "batch --item-collection", "elapsed": elapsed, "exit_code": process.returncode, "output": "", "valid_count": valid_count, "invalid_count": invalid_count, } def run_legacy_validation(file_path: str) -> dict: """ Run legacy validation with --item-collection. """ print("\n" + "=" * 70) print("BENCHMARK 2: stac-validator validate --item-collection") print("=" * 70) start_time = time.time() # Use Popen to capture output AND print it in real-time process = subprocess.Popen( ["stac-validator", "validate", "--item-collection", file_path], stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1, universal_newlines=True, ) output_lines = [] # Read output line-by-line as it's generated for line in process.stdout: sys.stdout.write(line) sys.stdout.flush() output_lines.append(line) process.wait() elapsed = time.time() - start_time # Parse output to extract valid/invalid counts valid_count = 0 invalid_count = 0 for line in output_lines: if "Items passed:" in line: try: passed_part = line.split("Items passed:")[1].strip() parts = passed_part.split("/") valid_count = int(parts[0].strip()) total_str = parts[1].split("(")[0].strip() total = int(total_str) invalid_count = total - valid_count except (IndexError, ValueError): pass return { "method": "validate --item-collection", "elapsed": elapsed, "exit_code": process.returncode, "output": "", "valid_count": valid_count, "invalid_count": invalid_count, } def main(): """Run the benchmark comparison.""" parser = argparse.ArgumentParser( description="Benchmark batch validation vs legacy item-collection validation", formatter_class=argparse.RawDescriptionHelpFormatter, epilog=""" Examples: python benchmark_validation.py --items 10000 python benchmark_validation.py --items 1000 --batch-only python benchmark_validation.py --items 5000 --legacy-only """, ) parser.add_argument( "--items", type=int, default=10000, help="Number of items to test (default: 10000)", ) parser.add_argument( "--batch-only", action="store_true", help="Only run batch validation benchmark" ) parser.add_argument( "--legacy-only", action="store_true", help="Only run legacy validation benchmark", ) parser.add_argument( "--batch-size", type=int, default=2000, help="Batch size for chunked processing (default: 2000)", ) args = parser.parse_args() # Validate arguments if args.batch_only and args.legacy_only: print("Error: Cannot specify both --batch-only and --legacy-only") sys.exit(1) if args.items < 1: print("Error: --items must be at least 1") sys.exit(1) # Generate test data test_file = generate_test_feature_collection(args.items) try: results = {} # Run batch validation if not legacy-only if not args.legacy_only: results["batch"] = run_batch_validation(test_file, args.batch_size) # Run legacy validation if not batch-only if not args.batch_only: results["legacy"] = run_legacy_validation(test_file) # Print comparison print("\n" + "=" * 70) print("BENCHMARK RESULTS") print("=" * 70) print(f"Items tested: {args.items}") if "batch" in results: batch_result = results["batch"] print("\nBatch Validation (multiprocessing):") print(f" Time: {batch_result['elapsed']:.2f}s") print(f" ✅ Valid: {batch_result.get('valid_count', 0)}") print(f" ❌ Invalid: {batch_result.get('invalid_count', 0)}") if "legacy" in results: legacy_result = results["legacy"] print("\nLegacy Validation (single-threaded):") print(f" Time: {legacy_result['elapsed']:.2f}s") print(f" ✅ Valid: {legacy_result.get('valid_count', 0)}") print(f" ❌ Invalid: {legacy_result.get('invalid_count', 0)}") # Calculate speedup if both ran if "batch" in results and "legacy" in results: speedup = legacy_result["elapsed"] / batch_result["elapsed"] print(f"\n{'=' * 70}") print(f"Speedup: {speedup:.1f}x faster with batch validation") print( f"Time saved: {legacy_result['elapsed'] - batch_result['elapsed']:.2f}s" ) finally: # Clean up os.unlink(test_file) print(f"\nCleaned up test file: {test_file}") if __name__ == "__main__": main() stac-validator-4.2.2/cdk-deployment/000077500000000000000000000000001517436701200173615ustar00rootroot00000000000000stac-validator-4.2.2/cdk-deployment/.gitignore000066400000000000000000000002041517436701200213450ustar00rootroot00000000000000*.swp package-lock.json __pycache__ .pytest_cache .env .venv .direnv *.egg-info # CDK asset staging directory .cdk.staging cdk.out stac-validator-4.2.2/cdk-deployment/README.md000066400000000000000000000034601517436701200206430ustar00rootroot00000000000000STAC Validator [AWS CDK](https://aws.amazon.com/cdk/) Deployment Assuming you have CDK configured, run the following to start a copy of the validator running on Lambda. *We are defining a specific AWS profile to use for deployment here.* ```bash cdk diff --profile stac-validator cdk deploy --profile stac-validator ``` ## Post a STAC url ```bash curl --request POST \ --header "Content-Type: Application/json" \ --data '{"stac_file": "https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json"}' \ https://xxxxxxxxxx.execute-api.us-west-2.amazonaws.com/prod/ { "version": "1.0.0-rc.3", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/master/examples/extended-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.3/item-spec/json-schema/item.json", "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json" ], "asset_type": "ITEM", "validation_method": "default", "valid_stac": true } ``` ## Post a STAC file `@` reads a local file. This is equivalent to posting the STAC json data. ```bash curl --request POST \ --header "Content-Type: application/json" \ --data @./tests/test_data/v090/items/landsat8-sample.json \ https://xxxxxxxxxx.execute-api.us-west-2.amazonaws.com/prod/ { "version": "0.9.0", "path": "/tmp/tmpl123z34l", "schema": [ "https://cdn.staclint.com/v0.9.0/item.json", "https://cdn.staclint.com/v0.9.0/extension/eo.json", "https://cdn.staclint.com/v0.9.0/extension/view.json" ], "asset_type": "ITEM", "valid_stac": true } ```stac-validator-4.2.2/cdk-deployment/app.py000066400000000000000000000007661517436701200205240ustar00rootroot00000000000000#!/usr/bin/env python3 # For consistency with TypeScript code, `cdk` is the preferred import name for # the CDK's core module. The following line also imports it as `core` for use # with examples from the CDK Developer's Guide, which are in the process of # being updated to use `cdk`. You may delete this import if you don't need it. from aws_cdk import core from validator_cdk.validator_cdk_stack import ValidatorCdkStack app = core.App() ValidatorCdkStack(app, "ValidatorCdkStack") app.synth() stac-validator-4.2.2/cdk-deployment/cdk.json000066400000000000000000000007351517436701200210220ustar00rootroot00000000000000{ "app": "python3 app.py", "context": { "@aws-cdk/core:enableStackNameDuplicates": "true", "aws-cdk:enableDiffNoFail": "true", "@aws-cdk/core:stackRelativeExports": "true", "@aws-cdk/aws-ecr-assets:dockerIgnoreSupport": true, "@aws-cdk/aws-secretsmanager:parseOwnedSecretName": true, "@aws-cdk/aws-kms:defaultKeyPolicies": true, "@aws-cdk/aws-s3:grantWriteWithoutAcl": true, "@aws-cdk/aws-ecs-patterns:removeDefaultDesiredCount": true } } stac-validator-4.2.2/cdk-deployment/lambda/000077500000000000000000000000001517436701200206015ustar00rootroot00000000000000stac-validator-4.2.2/cdk-deployment/lambda/Dockerfile000066400000000000000000000004641517436701200225770ustar00rootroot00000000000000FROM lambci/lambda:build-python3.8 WORKDIR /code COPY . /code/ RUN mkdir -p /asset && \ python -m pip install --upgrade pip && \ pip install mangum uvicorn fastapi[all] -t /asset RUN pip install /code -t /asset RUN cp /code/cdk-deployment/lambda/lambda.py /asset/lambda.py CMD ["echo", "hello world"]stac-validator-4.2.2/cdk-deployment/lambda/lambda.py000066400000000000000000000045331517436701200224000ustar00rootroot00000000000000import json import tempfile from fastapi import FastAPI, Request from fastapi.middleware.cors import CORSMiddleware from fastapi.openapi.utils import get_openapi from mangum import Mangum from stac_validator import stac_validator # app = FastAPI() # OpenAPI docs are in a custom function below. # this is used to push to aws cdk with prod endpoint app = FastAPI(title="STAC Validator", version=2.0, root_path="/prod/") app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) def validate(stac_object): stac = stac_validator.StacValidate(stac_object) stac.run() output = stac.message[0] return output @app.get("/") async def homepage(): return {"body": "https://api.staclint.com/docs"} @app.get("/url") async def validate_url_get_request(stac_url): output = validate(str(stac_url)) return {"body": output} @app.post("/url") async def validate_url_post_request(stac_url): output = validate(str(stac_url)) return {"body": output} @app.post("/json") async def validate_json(request: Request): stac_file = await request.json() temp_stac_file = tempfile.NamedTemporaryFile( delete=False, mode="w+", ) json.dump(stac_file, temp_stac_file) temp_stac_file.flush() temp_stac_file.close() body = temp_stac_file.name output = validate(body) return {"body": output} def custom_openapi(): if app.openapi_schema: return app.openapi_schema openapi_schema = get_openapi( title="STAC Validator", description="API for validating STAC files. Powered by Sparkgeo.", version=2.0, routes=app.routes, ) # openapi_schema["paths"]["/url"]["get"] = { # "description": "This endpoint supports validation of STAC file. Use stac_url as the query parameter.", # } # openapi_schema["paths"]["/url"]["post"] = { # "description": "This endpoint supports validation of a STAC file. Post your data as JSON with stac_url as the key and your path as the value.", # } openapi_schema["paths"]["/json"]["post"] = { "description": "This endpoint supports validation of STAC JSON directly. Post your data as JSON.", } app.openapi_schema = openapi_schema return app.openapi_schema app.openapi = custom_openapi handler = Mangum(app) stac-validator-4.2.2/cdk-deployment/requirements.txt000066400000000000000000000001231517436701200226410ustar00rootroot00000000000000aws-cdk.core==1.101.0 aws-cdk.aws-lambda==1.204.0 aws-cdk.aws_apigateway==1.204.0 stac-validator-4.2.2/cdk-deployment/source.bat000066400000000000000000000006651517436701200213600ustar00rootroot00000000000000@echo off rem The sole purpose of this script is to make the command rem rem source .venv/bin/activate rem rem (which activates a Python virtualenv on Linux or Mac OS X) work on Windows. rem On Windows, this command just runs this batch file (the argument is ignored). rem rem Now we don't need to document a Windows command for activating a virtualenv. echo Executing .venv\Scripts\activate.bat for you .venv\Scripts\activate.bat stac-validator-4.2.2/cdk-deployment/validator_cdk/000077500000000000000000000000001517436701200221675ustar00rootroot00000000000000stac-validator-4.2.2/cdk-deployment/validator_cdk/__init__.py000066400000000000000000000000001517436701200242660ustar00rootroot00000000000000stac-validator-4.2.2/cdk-deployment/validator_cdk/validator_cdk_stack.py000066400000000000000000000025431517436701200265400ustar00rootroot00000000000000# For consistency with other languages, `cdk` is the preferred import name for # the CDK's core module. The following line also imports it as `core` for use # with examples from the CDK Developer's Guide, which are in the process of # being updated to use `cdk`. You may delete this import if you don't need it. from pathlib import Path from aws_cdk import aws_apigateway as apigw from aws_cdk import aws_lambda as _lambda from aws_cdk import core as cdk class ValidatorCdkStack(cdk.Stack): def __init__(self, scope: cdk.Construct, construct_id: str, **kwargs) -> None: super().__init__(scope, construct_id, **kwargs) build_path = Path("../") print(str(build_path.resolve())) # Defines an AWS Lambda resource validator_lambda = _lambda.Function( self, "STACValidator", runtime=_lambda.Runtime.PYTHON_3_8, code=_lambda.Code.from_docker_build( path=str(build_path.resolve()), file="cdk-deployment/lambda/Dockerfile", ), handler="lambda.handler", timeout=cdk.Duration.seconds(30), ) cors = apigw.CorsOptions(allow_origins=["*"]) apigw.LambdaRestApi( self, "Endpoint", handler=validator_lambda, default_cors_preflight_options=cors, ) stac-validator-4.2.2/docs/000077500000000000000000000000001517436701200153725ustar00rootroot00000000000000stac-validator-4.2.2/docs/Makefile000066400000000000000000000011721517436701200170330ustar00rootroot00000000000000# Minimal makefile for Sphinx documentation # # You can set these variables from the command line, and also # from the environment for the first two. 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C*{lSKYV,Ry,7kzBU|bm!0dij6mDjl\Oհvvv@@@`?V[Zijk󕐷z~Nkc31˫EwF@Ytlze^2:4Z⪟Du˝j7DŽ-"                    PWzȅ  wX.@@xC`a` \֥sg>؏  AowF@υzǟ0!#S"pON_@8{ݼ:g         0wNj5f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd;D#m}{2HMB@@ o{ޖ1ԅȅ_,#_~/KwƪΆ\   k9Rq9˴bnDὺޫP2`[ sM:74b(S5@@ֺVmZi|%䭶^_b*r+}Dp)*cq̧'Qrs2 G1a                     X`i{w@@矆c3@@ }@//0.;'b@@+whn__a&@) ܼ:!p(DΞ:{7Ocp3        \s c1wީ7v*B{^ּvxSv[1镫X slCLu^Yz٢Tuo-myc/iSmK;qОyc8Fdre:I-'5TjrKk2S/ʖQ2i:k1wƸ)zdy<=U5ycm%sppG.^JX  |XQro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=s"8kuMO8YSTK\zS9#E@@VG2^VOu!                 ߤSs\B@FI뷟-W@@oP`a|+cI ߚ˺t̷,փ |_-{ @SU.@o@\ !pIݻyu46.@N_} 0=;G@@@@@@@@  Su>k6f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd;D#m}{ c,@@@!(乷e u!r!EȗtR"?   0Z6ee\2-r[(Qx*TŪ'!}0C&0ffӆNf ͆T kll@@C`f[V1_ yWd66\t~l9@`:zxJǦXe,Cc%ITwܩ朌}xL"                      ,;(D.@@t\޿03  ,,⃑w@;]  0 m@`:(׿w?ь AY7|!B  S'u!A@@@@@@@@;~|߻cvonSo.}/TyzE?7j Zob.+W.~2뼲0E9b,Z8<:_Ӧ*+|'w8U=&q$Fɼ.ԭtoZlOjV 店dj!*Ɨ!^Z-dFu/dbұq/=S2>4'c;~yz?kʙnKc!k[y|w~1  |@Qro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=1gJǽFdlr=x/OOGyMX9337wmOwG.^{AX   BF7ʽQsoBB@//藥D^;cUgC.@@@`Hrﵜmj)ʸeZ 1fPx ^]UUOLC`-L`9Sͦ HS 1َ  jk]+ͶV[m4cV[گrmlf1fyc>s"8kuMO8YSTK\zS9#E@@@@@@@@@@@@@@@@@@@@@!XZyw~Q\  #p_?3+  ,,⃑?GxE @8Wo#Hz|wv'AW@,pqǃ֎8}րGd8@a8{ݼ:[cO         oc{7f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd>.]\5H Aj2  (dTx<.D.@b~YJ3Vu6B@@T ^٦YXnv ^X4B`&l=lЉ4lCa   ~ֵlkJ3+!oZ,fcW1@_ߏ3'VGOT˼e>uhLU?ꮗ;՜1o8 [D@@@@@@@@@@@@@@@@@@@@rW!)C@]~Ѝ ?~ de  C'xT e\֥sg |Eo}٘ @K Ϩ*|@xW@O@E IDAT-w?=xߋ ֓@a8{ݼ:c_         s·)S{{wzcw=~"lokl7׫/1U[hzs^e0v9˔Y畅᭗-ʹLUf¹ؖq=6Vd\;176c$1NM/wn]xb{RMʨf(׽&S Q1 1Ҫl%6x!smm{陒q?q~O&Qu^0Vv[2둋׶>޽x|w~1  |@Qro2@"eo:e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=F쩓wt         9[1ֿ˘ۻ[K =f{k^cq^}ύB[U,9ˡ_:, olQe7Ŷ<Η)% 8qUpFhϼI#t2oz u2ۤۓoUF5C5ZeVe(Q ٵtl|lcKϔ{={2_珪}a@OrYΝ@~}C+b) +ϕQzǟ@Uɑ/E ~ "@>(pIݻy        )0wN e3f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻdwk[<{nx|w~1  |@Qro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z= 1@`W.ҹ3@@,׿C}.@/;@`ǟ۝{03S"S'u9@8}7* ߐډ@@@@@@@@9[;1f;w{BEhϫޚnW_scn!2r˾ar)+ [/[s.͢s-ze?mJrɸwB}'c\?ܿ3olHb4̛^BݺL'6jQP{iMb|bU2J&mTgBv-.>3%^O26L<&aٙۻd7;g8D#m rWd,@@>,PȨF7 ymC]\ A27>+1~glυ   @M-eYLK! Aޫ U*iH L8zٴizC!r=U!1A@@XmkjfWBjU:Y,,b,݁rgNgұ2y'|Иj~]/w9'cxp                     0Oν`  ܸn\q  C-x_ zl@`0W.ҹ3Q@@}8}>̴ OT.tW7r Y4 ^oʈ 0 =uRn^ƭ'@@@@@@@@s·i{{wzcw=~"lokl7׫/1U[hzs^e0v9˔Y畅᭗-ʹLUf¹ؖq=6Vd\;176c$1NM/wn]xb{RMʨf(׽&S Q1 1Ҫl%6x!smm{陒q?q~O&Qu^0Vv[2̏BpG.^$@@@ o{ޖ1ԅȅ_,#_~/KwƪΆ\   k9Rq9˴bnDὺޫP2`[ sM:74b(S5@@ֺVmZi|%䭶^_b*r+}Dp)*cq̧'Qrs2 G1a                     #.JW@@ ?ƅ̆  0 `$&@7+uܙmF@Q[>@%>ϩ\ =~#w X_n^_N1 2 4[O56t"M5[oh6PjX;d;f;   u4ZmҌJ[mjV'˵ŘU;Wc̉# S:6=U2/dOS-qON5d c@@@@@@@@@@@@@@@@@@@@@+ia  _Qkeɯ8+S! }f wΝH  ǝY@/!g/ʘ$p=?Gii_n^Ñ~<}o Ξ:{7~@@@@@@@@@`8Ω:bz]n_y5[ۍ~nLm"\Wb7̱]2eyeaxer.SžYp.y\uM)U.WNq7B{MIy][$&؞|S2u/BT/CL*[Fɤ,^Ȯܥcc^zd|iO&wߓt?T7?33{?;ss{ݖp~>!xmg{ r8B@@2*QB{[P" pPz|O,%J:s!  C*{lSKYV,Ry,7kzBU|bm!0dij6mDjl\Oհvvv@@@`?V[Zijk󕐷z~Nkc31˫EwF@Ytlze^2:4Z⪟Du˝j7DŽ-"                     -x_ A@wXnM!r!  0($ /0.;3e  0/vl %~;gNʀ 7-pqoz,뷾D̂ pΞ:{7=x@@@@@@@@|s·c{WeݭwݥОW58^TmV-Bez*}/SfW^(2U]E b[X~ڔr[qNǸ#g$h:7܅uNmRI7*\ҚL-D2KeLڨZ]:}>1gJǽFdlr=x/OOGyMX9337wm|Pk[x|w~1  |@Qro2@"eo|e)WbXП @@R{-gZʲ2.gBc-^(W{bUӐ>l !pNTiC'TfC zCc  !ZJV[+֫͘ku\YY^X.}~?Ϝ 0Z=?V        *0wN&cڌٽNPj5ܘ-jEL\Ųoceʬ\}h\l|ORn\2P߉Wo1M'󦗻P.IMj=ZeT3^Z_ziUIY]KǶ6ƽL蟌M8'~:o+gf~vn-bH z⵭A?R@@@!(乷e u!r!EȗR"?   0Z6ee\2-r[(Qx*TŪ'!}0C&0ffӆNf ͆T kll@@C`f[V1_ yWd66\t~l9@`:zxJǦXe,Cc%ITwܩ朌}xL"                     ,ү  ~4   }Cf \֥sg4  _W ׿Nl _D:&U IDATwAvިl}"#/;#@@|A":         0o`X^8cvonSo.}/TyzE?7j Zob.+W.~2뼲0E9b,Z8<:_Ӧ*+|'w8U=&q$Fɼ.ԭtoZlOjV 店dj!*Ɨ!^Z-dFu/dbұq/=S2>4'c;~yz?kʙnKf[?~s]\|D@@@!(乷e u!r!EȗR"?   0Z6ee\2-r[(Qx*TŪ'!}0C&0ffӆNf ͆T kll@@C`f[V1_ yWd66\t~l9@`:zxJǦXe,Cc%ITwܩ朌}xL"                     { ,,@@S'uկ4   7@`W.ҹ3@@$խ+4 _R |6 Q@V^ NWS'ܺY0 V[@R_e(M!        oc{aݭwݥОW58^TmV-Bez*}/SfW^(2U]E b[X~ڔr[qNǸ#g$h:7܅uNmRI7*\ҚL-D2KeLڨZ]:}>1gJǽFdlr=x/OOGyMX9337wm|??!xmk4r8B@@2*QB{[P" pPz|O,%J:s!  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Module stac_validator.stac_validator

Expand source code 
import json
        import sys
        from typing import Any, Dict, List

        import click  # type: ignore
        import pkg_resources

        from .validate import StacValidate


        def print_update_message(version: str) -> None:
            """Prints an update message for `stac-validator` based on the version of the
            STAC file being validated.

            Args:
                version (str): The version of the STAC file being validated.

            Returns:
                None
            """
            click.secho()
            if version != "1.0.0":
                click.secho(
                    f"Please upgrade from version {version} to version 1.0.0!", fg="red"
                )
            else:
                click.secho("Thanks for using STAC version 1.0.0!", fg="green")
            click.secho()


        def item_collection_summary(message: List[Dict[str, Any]]) -> None:
            """Prints a summary of the validation results for an item collection response.

            Args:
                message (List[Dict[str, Any]]): The validation results for the item collection.

            Returns:
                None
            """
            valid_count = 0
            for item in message:
                if "valid_stac" in item and item["valid_stac"] is True:
                    valid_count = valid_count + 1
            click.secho()
            click.secho("--item-collection summary", bold=True)
            click.secho(f"items_validated: {len(message)}")
            click.secho(f"valid_items: {valid_count}")


        @click.command()
        @click.argument("stac_file")
        @click.option(
            "--core", is_flag=True, help="Validate core stac object only without extensions."
        )
        @click.option("--extensions", is_flag=True, help="Validate extensions only.")
        @click.option(
            "--links",
            is_flag=True,
            help="Additionally validate links. Only works with default mode.",
        )
        @click.option(
            "--assets",
            is_flag=True,
            help="Additionally validate assets. Only works with default mode.",
        )
        @click.option(
            "--custom",
            "-c",
            default="",
            help="Validate against a custom schema (local filepath or remote schema).",
        )
        @click.option(
            "--recursive",
            "-r",
            is_flag=True,
            help="Recursively validate all related stac objects.",
        )
        @click.option(
            "--max-depth",
            "-m",
            type=int,
            help="Maximum depth to traverse when recursing. Omit this argument to get full recursion. Ignored if `recursive == False`.",
        )
        @click.option(
            "--item-collection",
            is_flag=True,
            help="Validate item collection response. Can be combined with --pages. Defaults to one page.",
        )
        @click.option(
            "--pages",
            "-p",
            type=int,
            help="Maximum number of pages to validate via --item-collection. Defaults to one page.",
        )
        @click.option(
            "-v", "--verbose", is_flag=True, help="Enables verbose output for recursive mode."
        )
        @click.option("--no_output", is_flag=True, help="Do not print output to console.")
        @click.option(
            "--log_file",
            default="",
            help="Save full recursive output to log file (local filepath).",
        )
        @click.version_option(version=pkg_resources.require("stac-validator")[0].version)
        def main(
            stac_file: str,
            item_collection: bool,
            pages: int,
            recursive: bool,
            max_depth: int,
            core: bool,
            extensions: bool,
            links: bool,
            assets: bool,
            custom: str,
            verbose: bool,
            no_output: bool,
            log_file: str,
        ) -> None:
            """Main function for the `stac-validator` command line tool. Validates a STAC file
            against the STAC specification and prints the validation results to the console as JSON.

            Args:
                stac_file (str): Path to the STAC file to be validated.
                item_collection (bool): Whether to validate item collection responses.
                pages (int): Maximum number of pages to validate via `item_collection`.
                recursive (bool): Whether to recursively validate all related STAC objects.
                max_depth (int): Maximum depth to traverse when recursing.
                core (bool): Whether to validate core STAC objects only.
                extensions (bool): Whether to validate extensions only.
                links (bool): Whether to additionally validate links. Only works with default mode.
                assets (bool): Whether to additionally validate assets. Only works with default mode.
                custom (str): Path to a custom schema file to validate against.
                verbose (bool): Whether to enable verbose output for recursive mode.
                no_output (bool): Whether to print output to console.
                log_file (str): Path to a log file to save full recursive output.

            Returns:
                None

            Raises:
                SystemExit: Exits the program with a status code of 0 if the STAC file is valid,
                    or 1 if it is invalid.
            """
            valid = True
            stac = StacValidate(
                stac_file=stac_file,
                item_collection=item_collection,
                pages=pages,
                recursive=recursive,
                max_depth=max_depth,
                core=core,
                links=links,
                assets=assets,
                extensions=extensions,
                custom=custom,
                verbose=verbose,
                log=log_file,
            )
            if not item_collection:
                valid = stac.run()
            else:
                stac.validate_item_collection()

            message = stac.message
            if "version" in message[0]:
                print_update_message(message[0]["version"])

            if no_output is False:
                click.echo(json.dumps(message, indent=4))

            if item_collection:
                item_collection_summary(message)

            sys.exit(0 if valid else 1)


        if __name__ == "__main__":
            main()

Functions

def item_collection_summary(message: List[Dict[str, Any]]) ‑> NoneType

Prints a summary of the validation results for an item collection response.

Args

message : List[Dict[str, Any]]
The validation results for the item collection.

Returns

None

Expand source code 
def item_collection_summary(message: List[Dict[str, Any]]) -> None:
            """Prints a summary of the validation results for an item collection response.

            Args:
                message (List[Dict[str, Any]]): The validation results for the item collection.

            Returns:
                None
            """
            valid_count = 0
            for item in message:
                if "valid_stac" in item and item["valid_stac"] is True:
                    valid_count = valid_count + 1
            click.secho()
            click.secho("--item-collection summary", bold=True)
            click.secho(f"items_validated: {len(message)}")
            click.secho(f"valid_items: {valid_count}")
def print_update_message(version: str) ‑> NoneType

Prints an update message for stac-validator based on the version of the STAC file being validated.

Args

version : str
The version of the STAC file being validated.

Returns

None

Expand source code 
def print_update_message(version: str) -> None:
            """Prints an update message for `stac-validator` based on the version of the
            STAC file being validated.

            Args:
                version (str): The version of the STAC file being validated.

            Returns:
                None
            """
            click.secho()
            if version != "1.0.0":
                click.secho(
                    f"Please upgrade from version {version} to version 1.0.0!", fg="red"
                )
            else:
                click.secho("Thanks for using STAC version 1.0.0!", fg="green")
            click.secho()
stac-validator-4.2.2/docs/conf.py000066400000000000000000000056341517436701200167010ustar00rootroot00000000000000# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # # import os # import sys # sys.path.insert(0, os.path.abspath('.')) # -- Project information ----------------------------------------------------- # -- Options for including images from README ---------------------------------- import os import shutil project = "stac-validator" copyright = "2023, Jonathan Healy" author = "Jonathan Healy" # The full version, including alpha/beta/rc tags release = "3.3.1" # -- General configuration --------------------------------------------------- # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ "sphinx.ext.autodoc", "sphinx.ext.viewcode", "sphinx.ext.napoleon", "sphinx_rtd_theme", "sphinx.ext.intersphinx", "myst_parser", ] # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path. exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"] # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # html_theme = "sphinx_rtd_theme" # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = [] # Create _static directory if it doesn't exist static_dir = os.path.join(os.path.dirname(__file__), "_static") if not os.path.exists(static_dir): os.makedirs(static_dir) # Copy assets from project root to _static directory assets_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), "assets") if os.path.exists(assets_dir): for file in os.listdir(assets_dir): src = os.path.join(assets_dir, file) dst = os.path.join(static_dir, file) if os.path.isfile(src): shutil.copy2(src, dst) # Now that we've copied files, update static path html_static_path = ["_static"] myst_heading_anchors = 3 # Generate anchors for h1, h2, and h3 # Configure myst-parser to handle images myst_url_schemes = ("http", "https", "mailto", "ftp") stac-validator-4.2.2/docs/index.rst000066400000000000000000000007261517436701200172400ustar00rootroot00000000000000``stac-validator`` documentation ################################ .. include:: ../README.md :parser: myst_parser.sphinx_ :start-after: # SpatioTemporal Asset Catalog Validator :end-before: ## Sponsors and Supporters For more detailed documentation, please see the following pages: .. toctree:: :maxdepth: 2 :caption: Contents: cli validator utilities Indices and tables ================= * :ref:`genindex` * :ref:`modindex` * :ref:`search` stac-validator-4.2.2/docs/make.bat000066400000000000000000000014331517436701200170000ustar00rootroot00000000000000@ECHO OFF pushd %~dp0 REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set SOURCEDIR=. set BUILDDIR=_build if "%1" == "" goto help %SPHINXBUILD% >NUL 2>NUL if errorlevel 9009 ( echo. echo.The 'sphinx-build' command was not found. Make sure you have Sphinx echo.installed, then set the SPHINXBUILD environment variable to point echo.to the full path of the 'sphinx-build' executable. Alternatively you echo.may add the Sphinx directory to PATH. echo. echo.If you don't have Sphinx installed, grab it from echo.http://sphinx-doc.org/ exit /b 1 ) %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% goto end :help %SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% :end popd stac-validator-4.2.2/docs/requirements.txt000066400000000000000000000001321517436701200206520ustar00rootroot00000000000000sphinx>=7.4.7 sphinx_rtd_theme>=3.1.0 myst-parser>=0.15.0 sphinx-autodoc-typehints>=1.12.0stac-validator-4.2.2/docs/utilities.rst000066400000000000000000000701421517436701200201430ustar00rootroot00000000000000Utilities API Reference ======================= .. raw:: html stac_validator.utilities API documentation

Module stac_validator.utilities

Expand source code 
import functools
    import json
    import ssl
    from urllib.parse import urlparse
    from urllib.request import urlopen

    import requests  # type: ignore

    NEW_VERSIONS = [
        "1.0.0-beta.2",
        "1.0.0-rc.1",
        "1.0.0-rc.2",
        "1.0.0-rc.3",
        "1.0.0-rc.4",
        "1.0.0",
    ]


    def is_url(url: str) -> bool:
        """Checks whether the input string is a valid URL.

        Args:
            url (str): The string to check.

        Returns:
            bool: True if the input string is a valid URL, False otherwise.
        """
        try:
            result = urlparse(url)
            return all([result.scheme, result.netloc])
        except ValueError:
            return False


    def is_valid_url(url: str) -> bool:
        """Checks if a given string is a valid URL.

        Args:
            url: A string to check for validity as a URL.

        Returns:
            A boolean value indicating whether the input string is a valid URL.
        """
        return urlparse(url).scheme in ["http", "https"]


    def get_stac_type(stac_content: dict) -> str:
        """Determine the type of a STAC resource.

        Given a dictionary representing a STAC resource, this function determines the
        resource's type and returns a string representing that type. The resource type
        can be one of 'Item', 'Catalog', or 'Collection'.

        Args:
            stac_content: A dictionary representing a STAC resource.

        Returns:
            A string representing the type of the STAC resource.

        Raises:
            TypeError: If the input is not a dictionary.
        """
        try:
            content_types = ["Item", "Catalog", "Collection"]
            if "type" in stac_content and stac_content["type"] == "Feature":
                return "Item"
            elif "type" in stac_content and stac_content["type"] in content_types:
                return stac_content["type"]
            elif "extent" in stac_content or "license" in stac_content:
                return "Collection"
            else:
                return "Catalog"
        except TypeError as e:
            return str(e)


    def fetch_and_parse_file(input_path: str) -> dict:
        """Fetches and parses a JSON file from a URL or local file.

        Given a URL or local file path to a JSON file, this function fetches the file,
        and parses its contents into a dictionary. If the input path is a valid URL, the
        function uses the requests library to download the file, otherwise it opens the
        local file with the json library.

        Args:
            input_path: A string representing the URL or local file path to the JSON file.

        Returns:
            A dictionary containing the parsed contents of the JSON file.

        Raises:
            ValueError: If the input is not a valid URL or local file path.
            requests.exceptions.RequestException: If there is an error while downloading the file.
        """
        try:
            if is_url(input_path):
                resp = requests.get(input_path)
                resp.raise_for_status()
                data = resp.json()
            else:
                with open(input_path) as f:
                    data = json.load(f)

            return data
        except (ValueError, requests.exceptions.RequestException) as e:
            raise e


    @functools.lru_cache(maxsize=48)
    def fetch_and_parse_schema(input_path: str) -> dict:
        """Fetches and parses a JSON schema file from a URL or local file using a cache.

        Given a URL or local file path to a JSON schema file, this function fetches the file
        and parses its contents into a dictionary. If the input path is a valid URL, the
        function uses the requests library to download the file, otherwise it opens the
        local file with the json library. Additionally, this function caches the results of
        previous function calls to reduce the number of times the file is fetched and parsed.

        Args:
            input_path: A string representing the URL or local file path to the JSON schema file.

        Returns:
            A dictionary containing the parsed contents of the JSON schema file.

        Raises:
            ValueError: If the input is not a valid URL or local file path.
            requests.exceptions.RequestException: If there is an error while downloading the file.
        """
        return fetch_and_parse_file(input_path)


    def set_schema_addr(version: str, stac_type: str) -> str:
        """Set the URL address for the JSON schema to be used for validating the STAC object.
        Validate new versions at schemas.stacspec.org

        Args:
            version (str): The version number of the STAC object.
            stac_type (str): The type of the STAC object (e.g. "item", "collection").

        Returns:
            str: The URL address for the JSON schema.
        """
        if version in NEW_VERSIONS:
            return f"https://schemas.stacspec.org/v{version}/{stac_type}-spec/json-schema/{stac_type}.json"
        else:
            return f"https://cdn.staclint.com/v{version}/{stac_type}.json"


    def link_request(
        link: dict,
        initial_message: dict,
    ) -> None:
        """Makes a request to a URL and appends it to the relevant field of the initial message.

        Args:
            link: A dictionary containing a "href" key which is a string representing a URL.
            initial_message: A dictionary containing lists for "request_valid", "request_invalid",
            "format_valid", and "format_invalid" URLs.

        Returns:
            None

        """
        if is_url(link["href"]):
            try:
                if "s3" in link["href"]:
                    context = ssl._create_unverified_context()
                    response = urlopen(link["href"], context=context)
                else:
                    response = urlopen(link["href"])
                status_code = response.getcode()
                if status_code == 200:
                    initial_message["request_valid"].append(link["href"])
            except Exception:
                initial_message["request_invalid"].append(link["href"])
            initial_message["format_valid"].append(link["href"])
        else:
            initial_message["request_invalid"].append(link["href"])
            initial_message["format_invalid"].append(link["href"])

Functions

def fetch_and_parse_file(input_path: str) ‑> dict

Fetches and parses a JSON file from a URL or local file.

Given a URL or local file path to a JSON file, this function fetches the file, and parses its contents into a dictionary. If the input path is a valid URL, the function uses the requests library to download the file, otherwise it opens the local file with the json library.

Args

input_path
A string representing the URL or local file path to the JSON file.

Returns

A dictionary containing the parsed contents of the JSON file.

Raises

ValueError
If the input is not a valid URL or local file path.
requests.exceptions.RequestException
If there is an error while downloading the file.
Expand source code 
def fetch_and_parse_file(input_path: str) -> dict:
        """Fetches and parses a JSON file from a URL or local file.

        Given a URL or local file path to a JSON file, this function fetches the file,
        and parses its contents into a dictionary. If the input path is a valid URL, the
        function uses the requests library to download the file, otherwise it opens the
        local file with the json library.

        Args:
            input_path: A string representing the URL or local file path to the JSON file.

        Returns:
            A dictionary containing the parsed contents of the JSON file.

        Raises:
            ValueError: If the input is not a valid URL or local file path.
            requests.exceptions.RequestException: If there is an error while downloading the file.
        """
        try:
            if is_url(input_path):
                resp = requests.get(input_path)
                resp.raise_for_status()
                data = resp.json()
            else:
                with open(input_path) as f:
                    data = json.load(f)

            return data
        except (ValueError, requests.exceptions.RequestException) as e:
            raise e
def fetch_and_parse_schema(input_path: str) ‑> dict

Fetches and parses a JSON schema file from a URL or local file using a cache.

Given a URL or local file path to a JSON schema file, this function fetches the file and parses its contents into a dictionary. If the input path is a valid URL, the function uses the requests library to download the file, otherwise it opens the local file with the json library. Additionally, this function caches the results of previous function calls to reduce the number of times the file is fetched and parsed.

Args

input_path
A string representing the URL or local file path to the JSON schema file.

Returns

A dictionary containing the parsed contents of the JSON schema file.

Raises

ValueError
If the input is not a valid URL or local file path.
requests.exceptions.RequestException
If there is an error while downloading the file.
Expand source code 
@functools.lru_cache(maxsize=48)
    def fetch_and_parse_schema(input_path: str) -> dict:
        """Fetches and parses a JSON schema file from a URL or local file using a cache.

        Given a URL or local file path to a JSON schema file, this function fetches the file
        and parses its contents into a dictionary. If the input path is a valid URL, the
        function uses the requests library to download the file, otherwise it opens the
        local file with the json library. Additionally, this function caches the results of
        previous function calls to reduce the number of times the file is fetched and parsed.

        Args:
            input_path: A string representing the URL or local file path to the JSON schema file.

        Returns:
            A dictionary containing the parsed contents of the JSON schema file.

        Raises:
            ValueError: If the input is not a valid URL or local file path.
            requests.exceptions.RequestException: If there is an error while downloading the file.
        """
        return fetch_and_parse_file(input_path)
def get_stac_type(stac_content: dict) ‑> str

Determine the type of a STAC resource.

Given a dictionary representing a STAC resource, this function determines the resource's type and returns a string representing that type. The resource type can be one of 'Item', 'Catalog', or 'Collection'.

Args

stac_content
A dictionary representing a STAC resource.

Returns

A string representing the type of the STAC resource.

Raises

TypeError
If the input is not a dictionary.
Expand source code 
def get_stac_type(stac_content: dict) -> str:
        """Determine the type of a STAC resource.

        Given a dictionary representing a STAC resource, this function determines the
        resource's type and returns a string representing that type. The resource type
        can be one of 'Item', 'Catalog', or 'Collection'.

        Args:
            stac_content: A dictionary representing a STAC resource.

        Returns:
            A string representing the type of the STAC resource.

        Raises:
            TypeError: If the input is not a dictionary.
        """
        try:
            content_types = ["Item", "Catalog", "Collection"]
            if "type" in stac_content and stac_content["type"] == "Feature":
                return "Item"
            elif "type" in stac_content and stac_content["type"] in content_types:
                return stac_content["type"]
            elif "extent" in stac_content or "license" in stac_content:
                return "Collection"
            else:
                return "Catalog"
        except TypeError as e:
            return str(e)
def is_url(url: str) ‑> bool

Checks whether the input string is a valid URL.

Args

url : str
The string to check.

Returns

bool
True if the input string is a valid URL, False otherwise.
Expand source code 
def is_url(url: str) -> bool:
        """Checks whether the input string is a valid URL.

        Args:
            url (str): The string to check.

        Returns:
            bool: True if the input string is a valid URL, False otherwise.
        """
        try:
            result = urlparse(url)
            return all([result.scheme, result.netloc])
        except ValueError:
            return False
def is_valid_url(url: str) ‑> bool

Checks if a given string is a valid URL.

Args

url
A string to check for validity as a URL.

Returns

A boolean value indicating whether the input string is a valid URL.

Expand source code 
def is_valid_url(url: str) -> bool:
        """Checks if a given string is a valid URL.

        Args:
            url: A string to check for validity as a URL.

        Returns:
            A boolean value indicating whether the input string is a valid URL.
        """
        return urlparse(url).scheme in ["http", "https"]

Makes a request to a URL and appends it to the relevant field of the initial message.

Args

link
A dictionary containing a "href" key which is a string representing a URL.
initial_message
A dictionary containing lists for "request_valid", "request_invalid",

"format_valid", and "format_invalid" URLs.

Returns

None

Expand source code 
def link_request(
        link: dict,
        initial_message: dict,
    ) -> None:
        """Makes a request to a URL and appends it to the relevant field of the initial message.

        Args:
            link: A dictionary containing a "href" key which is a string representing a URL.
            initial_message: A dictionary containing lists for "request_valid", "request_invalid",
            "format_valid", and "format_invalid" URLs.

        Returns:
            None

        """
        if is_url(link["href"]):
            try:
                if "s3" in link["href"]:
                    context = ssl._create_unverified_context()
                    response = urlopen(link["href"], context=context)
                else:
                    response = urlopen(link["href"])
                status_code = response.getcode()
                if status_code == 200:
                    initial_message["request_valid"].append(link["href"])
            except Exception:
                initial_message["request_invalid"].append(link["href"])
            initial_message["format_valid"].append(link["href"])
        else:
            initial_message["request_invalid"].append(link["href"])
            initial_message["format_invalid"].append(link["href"])
def set_schema_addr(version: str, stac_type: str) ‑> str

Set the URL address for the JSON schema to be used for validating the STAC object. Validate new versions at schemas.stacspec.org

Args

version : str
The version number of the STAC object.
stac_type : str
The type of the STAC object (e.g. "item", "collection").

Returns

str
The URL address for the JSON schema.
Expand source code 
def set_schema_addr(version: str, stac_type: str) -> str:
        """Set the URL address for the JSON schema to be used for validating the STAC object.
        Validate new versions at schemas.stacspec.org

        Args:
            version (str): The version number of the STAC object.
            stac_type (str): The type of the STAC object (e.g. "item", "collection").

        Returns:
            str: The URL address for the JSON schema.
        """
        if version in NEW_VERSIONS:
            return f"https://schemas.stacspec.org/v{version}/{stac_type}-spec/json-schema/{stac_type}.json"
        else:
            return f"https://cdn.staclint.com/v{version}/{stac_type}.json"
stac-validator-4.2.2/docs/validator.rst000066400000000000000000002725031517436701200201220ustar00rootroot00000000000000Validate API Reference ======================= .. raw:: html stac_validator.validate API documentation

Module stac_validator.validate

Expand source code 
import json
    import os
    from json.decoder import JSONDecodeError
    from typing import Optional
    from urllib.error import HTTPError, URLError

    import click  # type: ignore
    import jsonschema  # type: ignore
    from jsonschema import RefResolver
    from requests import exceptions  # type: ignore

    from .utilities import (
        fetch_and_parse_file,
        fetch_and_parse_schema,
        get_stac_type,
        is_valid_url,
        link_request,
        set_schema_addr,
    )


    class StacValidate:
        """
        Class that validates STAC objects.

        Attributes:
            stac_file (str): The path or URL to the STAC object to be validated.
            item_collection (bool): Whether the STAC object to be validated is an item collection.
            pages (int): The maximum number of pages to validate if `item_collection` is True.
            recursive (bool): Whether to recursively validate related STAC objects.
            max_depth (int): The maximum depth to traverse when recursively validating related STAC objects.
            core (bool): Whether to only validate the core STAC object (without extensions).
            links (bool): Whether to additionally validate links (only works in default mode).
            assets (bool): Whether to additionally validate assets (only works in default mode).
            extensions (bool): Whether to only validate STAC object extensions.
            custom (str): The local filepath or remote URL of a custom JSON schema to validate the STAC object.
            verbose (bool): Whether to enable verbose output in recursive mode.
            log (str): The local filepath to save the output of the recursive validation to.

        Methods:
            run(): Validates the STAC object and returns whether it is valid.
            validate_item_collection(): Validates an item collection.
        """

        def __init__(
            self,
            stac_file: Optional[str] = None,
            item_collection: bool = False,
            pages: Optional[int] = None,
            recursive: bool = False,
            max_depth: Optional[int] = None,
            core: bool = False,
            links: bool = False,
            assets: bool = False,
            extensions: bool = False,
            custom: str = "",
            verbose: bool = False,
            log: str = "",
        ):
            self.stac_file = stac_file
            self.item_collection = item_collection
            self.pages = pages
            self.message: list = []
            self.schema = custom
            self.links = links
            self.assets = assets
            self.recursive = recursive
            self.max_depth = max_depth
            self.extensions = extensions
            self.core = core
            self.stac_content: dict = {}
            self.version = ""
            self.depth: int = 0
            self.skip_val = False
            self.verbose = verbose
            self.valid = False
            self.log = log

        def create_err_msg(self, err_type: str, err_msg: str) -> dict:
            self.valid = False
            return {
                "version": self.version,
                "path": self.stac_file,
                "schema": [self.schema],
                "valid_stac": False,
                "error_type": err_type,
                "error_message": err_msg,
            }

        def create_links_message(self):
            format_valid = []
            format_invalid = []
            request_valid = []
            request_invalid = []
            return {
                "format_valid": format_valid,
                "format_invalid": format_invalid,
                "request_valid": request_valid,
                "request_invalid": request_invalid,
            }

        def create_message(self, stac_type: str, val_type: str) -> dict:
            return {
                "version": self.version,
                "path": self.stac_file,
                "schema": [self.schema],
                "valid_stac": False,
                "asset_type": stac_type.upper(),
                "validation_method": val_type,
            }

        def assets_validator(self) -> dict:
            """Validate assets.

            Returns:
                A dictionary containing the asset validation results.
            """
            initial_message = self.create_links_message()
            assets = self.stac_content.get("assets")
            if assets:
                for asset in assets.values():
                    link_request(asset, initial_message)
            return initial_message

        def links_validator(self) -> dict:
            """Validate links.

            Returns:
                A dictionary containing the link validation results.
            """
            initial_message = self.create_links_message()
            # get root_url for checking relative links
            root_url = ""
            for link in self.stac_content["links"]:
                if link["rel"] in ["self", "alternate"] and is_valid_url(link["href"]):
                    root_url = (
                        link["href"].split("/")[0] + "//" + link["href"].split("/")[2]
                    )
            for link in self.stac_content["links"]:
                if not is_valid_url(link["href"]):
                    link["href"] = root_url + link["href"][1:]
                link_request(link, initial_message)

            return initial_message

        def extensions_validator(self, stac_type: str) -> dict:
            """Validate the STAC extensions according to their corresponding JSON schemas.

            Args:
                stac_type (str): The STAC object type ("ITEM" or "COLLECTION").

            Returns:
                dict: A dictionary containing validation results.

            Raises:
                JSONSchemaValidationError: If there is a validation error in the JSON schema.
                Exception: If there is an error in the STAC extension validation process.
            """
            message = self.create_message(stac_type, "extensions")
            message["schema"] = []
            valid = True
            if stac_type == "ITEM":
                try:
                    if "stac_extensions" in self.stac_content:
                        # error with the 'proj' extension not being 'projection' in older stac
                        if "proj" in self.stac_content["stac_extensions"]:
                            index = self.stac_content["stac_extensions"].index("proj")
                            self.stac_content["stac_extensions"][index] = "projection"
                        schemas = self.stac_content["stac_extensions"]
                        for extension in schemas:
                            if not (is_valid_url(extension) or extension.endswith(".json")):
                                # where are the extensions for 1.0.0-beta.2 on cdn.staclint.com?
                                if self.version == "1.0.0-beta.2":
                                    self.stac_content["stac_version"] = "1.0.0-beta.1"
                                    self.version = self.stac_content["stac_version"]
                                extension = f"https://cdn.staclint.com/v{self.version}/extension/{extension}.json"
                            self.schema = extension
                            self.custom_validator()
                            message["schema"].append(extension)
                except jsonschema.exceptions.ValidationError as e:
                    valid = False
                    if e.absolute_path:
                        err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])}"
                    else:
                        err_msg = f"{e.message} of the root of the STAC object"
                    message = self.create_err_msg("JSONSchemaValidationError", err_msg)
                    return message
                except Exception as e:
                    valid = False
                    err_msg = f"{e}. Error in Extensions."
                    return self.create_err_msg("Exception", err_msg)
            else:
                self.core_validator(stac_type)
                message["schema"] = [self.schema]
            self.valid = valid
            return message

        def custom_validator(self) -> None:
            """Validates a STAC JSON file against a JSON schema, which may be located
            either online or locally.

            The function checks whether the provided schema URL is valid and can be
            fetched and parsed. If the schema is hosted online, the function uses the
            fetched schema to validate the STAC JSON file. If the schema is local, the
            function resolves any references in the schema and then validates the STAC
            JSON file against the resolved schema. If the schema is specified as a
            relative path, the function resolves the path relative to the STAC JSON file
            being validated and uses the resolved schema to validate the STAC JSON file.

            Returns:
                None
            """
            # if schema is hosted online
            if is_valid_url(self.schema):
                schema = fetch_and_parse_schema(self.schema)
                jsonschema.validate(self.stac_content, schema)
            # in case the path to a json schema is local
            elif os.path.exists(self.schema):
                schema = fetch_and_parse_schema(self.schema)
                custom_abspath = os.path.abspath(self.schema)
                custom_dir = os.path.dirname(custom_abspath).replace("\\", "/")
                custom_uri = f"file:///{custom_dir}/"
                resolver = RefResolver(custom_uri, self.schema)
                jsonschema.validate(self.stac_content, schema, resolver=resolver)
            # deal with a relative path in the schema
            else:
                file_directory = os.path.dirname(os.path.abspath(str(self.stac_file)))
                self.schema = os.path.join(str(file_directory), self.schema)
                self.schema = os.path.abspath(os.path.realpath(self.schema))
                schema = fetch_and_parse_schema(self.schema)
                jsonschema.validate(self.stac_content, schema)

        def core_validator(self, stac_type: str) -> None:
            """Validate the STAC item or collection against the appropriate JSON schema.

            Args:
                stac_type (str): The type of STAC object being validated (either "item" or "collection").

            Returns:
                None

            Raises:
                ValidationError: If the STAC object fails to validate against the JSON schema.

            The function first determines the appropriate JSON schema to use based on the STAC object's type and version.
            If the version is one of the specified versions (0.8.0, 0.9.0, 1.0.0, 1.0.0-beta.1, 1.0.0-beta.2, or 1.0.0-rc.2),
            it uses the corresponding schema stored locally. Otherwise, it retrieves the schema from the appropriate URL
            using the `set_schema_addr` function. The function then calls the `custom_validator` method to validate the
            STAC object against the schema.
            """
            stac_type = stac_type.lower()
            self.schema = set_schema_addr(self.version, stac_type)
            self.custom_validator()

        def default_validator(self, stac_type: str) -> dict:
            """Validate the STAC catalog or item against the core schema and its extensions.

            Args:
                stac_type (str): The type of STAC object being validated. Must be either "catalog" or "item".

            Returns:
                A dictionary containing the results of the default validation, including whether the STAC object is valid,
                any validation errors encountered, and any links and assets that were validated.
            """
            message = self.create_message(stac_type, "default")
            message["schema"] = []
            self.core_validator(stac_type)
            core_schema = self.schema
            message["schema"].append(core_schema)
            stac_type = stac_type.upper()
            if stac_type == "ITEM":
                message = self.extensions_validator(stac_type)
                message["validation_method"] = "default"
                message["schema"].append(core_schema)
            if self.links:
                message["links_validated"] = self.links_validator()
            if self.assets:
                message["assets_validated"] = self.assets_validator()
            return message

        def recursive_validator(self, stac_type: str) -> bool:
            """Recursively validate a STAC JSON document against its JSON Schema.

            This method validates a STAC JSON document recursively against its JSON Schema by following its "child" and "item" links.
            It uses the `default_validator` and `fetch_and_parse_file` functions to validate the current STAC document and retrieve the
            next one to be validated, respectively.

            Args:
                self: An instance of the STACValidator class.
                stac_type: A string representing the STAC object type to validate.

            Returns:
                A boolean indicating whether the validation was successful.

            Raises:
                jsonschema.exceptions.ValidationError: If the STAC document does not validate against its JSON Schema.

            """
            if self.skip_val is False:
                self.schema = set_schema_addr(self.version, stac_type.lower())
                message = self.create_message(stac_type, "recursive")
                message["valid_stac"] = False
                try:
                    _ = self.default_validator(stac_type)

                except jsonschema.exceptions.ValidationError as e:
                    if e.absolute_path:
                        err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])}"
                    else:
                        err_msg = f"{e.message} of the root of the STAC object"
                    message.update(
                        self.create_err_msg("JSONSchemaValidationError", err_msg)
                    )
                    self.message.append(message)
                    if self.verbose is True:
                        click.echo(json.dumps(message, indent=4))
                    return False

                message["valid_stac"] = True
                self.message.append(message)
                if self.verbose:
                    click.echo(json.dumps(message, indent=4))
                self.depth += 1
                if self.max_depth and self.depth >= self.max_depth:
                    self.skip_val = True
                base_url = self.stac_file

                for link in self.stac_content["links"]:
                    if link["rel"] == "child" or link["rel"] == "item":
                        address = link["href"]
                        if not is_valid_url(address):
                            x = str(base_url).split("/")
                            x.pop(-1)
                            st = x[0]
                            for i in range(len(x)):
                                if i > 0:
                                    st = st + "/" + x[i]
                            self.stac_file = st + "/" + address
                        else:
                            self.stac_file = address
                        self.stac_content = fetch_and_parse_file(str(self.stac_file))
                        self.stac_content["stac_version"] = self.version
                        stac_type = get_stac_type(self.stac_content).lower()

                    if link["rel"] == "child":
                        self.recursive_validator(stac_type)

                    if link["rel"] == "item":
                        self.schema = set_schema_addr(self.version, stac_type.lower())
                        message = self.create_message(stac_type, "recursive")
                        if self.version == "0.7.0":
                            schema = fetch_and_parse_schema(self.schema)
                            # this next line prevents this: unknown url type: 'geojson.json' ??
                            schema["allOf"] = [{}]
                            jsonschema.validate(self.stac_content, schema)
                        else:
                            msg = self.default_validator(stac_type)
                            message["schema"] = msg["schema"]
                        message["valid_stac"] = True

                        if self.log != "":
                            self.message.append(message)
                        if (
                            not self.max_depth or self.max_depth < 5
                        ):  # TODO this should be configurable, correct?
                            self.message.append(message)
            return True

        def validate_dict(self, stac_content) -> bool:
            """Validate the contents of a dictionary representing a STAC object.

            Args:
                stac_content (dict): The dictionary representation of the STAC object to validate.

            Returns:
                A bool indicating if validation was successfull.
            """
            self.stac_content = stac_content
            return self.run()

        def validate_item_collection_dict(self, item_collection: dict) -> None:
            """Validate the contents of an item collection.

            Args:
                item_collection (dict): The dictionary representation of the item collection to validate.

            Returns:
                None
            """
            for item in item_collection["features"]:
                self.schema = ""
                self.validate_dict(item)

        def validate_item_collection(self) -> None:
            """Validate a STAC item collection.

            Raises:
                URLError: If there is an issue with the URL used to fetch the item collection.
                JSONDecodeError: If the item collection content cannot be parsed as JSON.
                ValueError: If the item collection does not conform to the STAC specification.
                TypeError: If the item collection content is not a dictionary or JSON object.
                FileNotFoundError: If the item collection file cannot be found.
                ConnectionError: If there is an issue with the internet connection used to fetch the item collection.
                exceptions.SSLError: If there is an issue with the SSL connection used to fetch the item collection.
                OSError: If there is an issue with the file system (e.g., read/write permissions) while trying to write to the log file.

            Returns:
                None
            """
            page = 1
            print(f"processing page {page}")
            item_collection = fetch_and_parse_file(str(self.stac_file))
            self.validate_item_collection_dict(item_collection)
            try:
                if self.pages is not None:
                    for _ in range(self.pages - 1):
                        if "links" in item_collection:
                            for link in item_collection["links"]:
                                if link["rel"] == "next":
                                    page = page + 1
                                    print(f"processing page {page}")
                                    next_link = link["href"]
                                    self.stac_file = next_link
                                    item_collection = fetch_and_parse_file(
                                        str(self.stac_file)
                                    )
                                    self.validate_item_collection_dict(item_collection)
                                    break
            except Exception as e:
                message = {}
                message[
                    "pagination_error"
                ] = f"Validating the item collection failed on page {page}: {str(e)}"
                self.message.append(message)

        def run(self) -> bool:
            """Runs the STAC validation process based on the input parameters.

            Returns:
                bool: True if the STAC is valid, False otherwise.

            Raises:
                URLError: If there is an error with the URL.
                JSONDecodeError: If there is an error decoding the JSON content.
                ValueError: If there is an invalid value.
                TypeError: If there is an invalid type.
                FileNotFoundError: If the file is not found.
                ConnectionError: If there is an error with the connection.
                exceptions.SSLError: If there is an SSL error.
                OSError: If there is an error with the operating system.
                jsonschema.exceptions.ValidationError: If the STAC content fails validation.
                KeyError: If the specified key is not found.
                HTTPError: If there is an error with the HTTP connection.
                Exception: If there is any other type of error.

            """
            message = {}
            try:
                if self.stac_file is not None and not self.item_collection:
                    self.stac_content = fetch_and_parse_file(self.stac_file)

                stac_type = get_stac_type(self.stac_content).upper()
                self.version = self.stac_content["stac_version"]

                if self.core:
                    message = self.create_message(stac_type, "core")
                    self.core_validator(stac_type)
                    message["schema"] = [self.schema]
                    self.valid = True
                elif self.schema != "":
                    message = self.create_message(stac_type, "custom")
                    message["schema"] = [self.schema]
                    self.custom_validator()
                    self.valid = True
                elif self.recursive:
                    self.valid = self.recursive_validator(stac_type)
                elif self.extensions:
                    message = self.extensions_validator(stac_type)
                else:
                    self.valid = True
                    message = self.default_validator(stac_type)

            except jsonschema.exceptions.ValidationError as e:
                if e.absolute_path:
                    err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])} "
                else:
                    err_msg = f"{e.message} of the root of the STAC object"
                message.update(self.create_err_msg("JSONSchemaValidationError", err_msg))

            except (
                URLError,
                JSONDecodeError,
                ValueError,
                TypeError,
                FileNotFoundError,
                ConnectionError,
                exceptions.SSLError,
                OSError,
                KeyError,
                HTTPError,
            ) as e:
                message.update(self.create_err_msg(type(e).__name__, str(e)))

            except Exception as e:
                message.update(self.create_err_msg("Exception", str(e)))

            if message:
                message["valid_stac"] = self.valid
                self.message.append(message)

            if self.log != "":
                with open(self.log, "w") as f:
                    f.write(json.dumps(self.message, indent=4))

            return self.valid

Classes

class StacValidate (stac_file: Optional[str] = None, item_collection: bool = False, pages: Optional[int] = None, recursive: bool = False, max_depth: Optional[int] = None, core: bool = False, links: bool = False, assets: bool = False, extensions: bool = False, custom: str = '', verbose: bool = False, log: str = '')

Class that validates STAC objects.

Attributes

stac_file : str
The path or URL to the STAC object to be validated.
item_collection : bool
Whether the STAC object to be validated is an item collection.
pages : int
The maximum number of pages to validate if item_collection is True.
recursive : bool
Whether to recursively validate related STAC objects.
max_depth : int
The maximum depth to traverse when recursively validating related STAC objects.
core : bool
Whether to only validate the core STAC object (without extensions).
links : bool
Whether to additionally validate links (only works in default mode).
assets : bool
Whether to additionally validate assets (only works in default mode).
extensions : bool
Whether to only validate STAC object extensions.
custom : str
The local filepath or remote URL of a custom JSON schema to validate the STAC object.
verbose : bool
Whether to enable verbose output in recursive mode.
log : str
The local filepath to save the output of the recursive validation to.

Methods

run(): Validates the STAC object and returns whether it is valid. validate_item_collection(): Validates an item collection.

Expand source code 
class StacValidate:
        """
        Class that validates STAC objects.

        Attributes:
            stac_file (str): The path or URL to the STAC object to be validated.
            item_collection (bool): Whether the STAC object to be validated is an item collection.
            pages (int): The maximum number of pages to validate if `item_collection` is True.
            recursive (bool): Whether to recursively validate related STAC objects.
            max_depth (int): The maximum depth to traverse when recursively validating related STAC objects.
            core (bool): Whether to only validate the core STAC object (without extensions).
            links (bool): Whether to additionally validate links (only works in default mode).
            assets (bool): Whether to additionally validate assets (only works in default mode).
            extensions (bool): Whether to only validate STAC object extensions.
            custom (str): The local filepath or remote URL of a custom JSON schema to validate the STAC object.
            verbose (bool): Whether to enable verbose output in recursive mode.
            log (str): The local filepath to save the output of the recursive validation to.

        Methods:
            run(): Validates the STAC object and returns whether it is valid.
            validate_item_collection(): Validates an item collection.
        """

        def __init__(
            self,
            stac_file: Optional[str] = None,
            item_collection: bool = False,
            pages: Optional[int] = None,
            recursive: bool = False,
            max_depth: Optional[int] = None,
            core: bool = False,
            links: bool = False,
            assets: bool = False,
            extensions: bool = False,
            custom: str = "",
            verbose: bool = False,
            log: str = "",
        ):
            self.stac_file = stac_file
            self.item_collection = item_collection
            self.pages = pages
            self.message: list = []
            self.schema = custom
            self.links = links
            self.assets = assets
            self.recursive = recursive
            self.max_depth = max_depth
            self.extensions = extensions
            self.core = core
            self.stac_content: dict = {}
            self.version = ""
            self.depth: int = 0
            self.skip_val = False
            self.verbose = verbose
            self.valid = False
            self.log = log

        def create_err_msg(self, err_type: str, err_msg: str) -> dict:
            self.valid = False
            return {
                "version": self.version,
                "path": self.stac_file,
                "schema": [self.schema],
                "valid_stac": False,
                "error_type": err_type,
                "error_message": err_msg,
            }

        def create_links_message(self):
            format_valid = []
            format_invalid = []
            request_valid = []
            request_invalid = []
            return {
                "format_valid": format_valid,
                "format_invalid": format_invalid,
                "request_valid": request_valid,
                "request_invalid": request_invalid,
            }

        def create_message(self, stac_type: str, val_type: str) -> dict:
            return {
                "version": self.version,
                "path": self.stac_file,
                "schema": [self.schema],
                "valid_stac": False,
                "asset_type": stac_type.upper(),
                "validation_method": val_type,
            }

        def assets_validator(self) -> dict:
            """Validate assets.

            Returns:
                A dictionary containing the asset validation results.
            """
            initial_message = self.create_links_message()
            assets = self.stac_content.get("assets")
            if assets:
                for asset in assets.values():
                    link_request(asset, initial_message)
            return initial_message

        def links_validator(self) -> dict:
            """Validate links.

            Returns:
                A dictionary containing the link validation results.
            """
            initial_message = self.create_links_message()
            # get root_url for checking relative links
            root_url = ""
            for link in self.stac_content["links"]:
                if link["rel"] in ["self", "alternate"] and is_valid_url(link["href"]):
                    root_url = (
                        link["href"].split("/")[0] + "//" + link["href"].split("/")[2]
                    )
            for link in self.stac_content["links"]:
                if not is_valid_url(link["href"]):
                    link["href"] = root_url + link["href"][1:]
                link_request(link, initial_message)

            return initial_message

        def extensions_validator(self, stac_type: str) -> dict:
            """Validate the STAC extensions according to their corresponding JSON schemas.

            Args:
                stac_type (str): The STAC object type ("ITEM" or "COLLECTION").

            Returns:
                dict: A dictionary containing validation results.

            Raises:
                JSONSchemaValidationError: If there is a validation error in the JSON schema.
                Exception: If there is an error in the STAC extension validation process.
            """
            message = self.create_message(stac_type, "extensions")
            message["schema"] = []
            valid = True
            if stac_type == "ITEM":
                try:
                    if "stac_extensions" in self.stac_content:
                        # error with the 'proj' extension not being 'projection' in older stac
                        if "proj" in self.stac_content["stac_extensions"]:
                            index = self.stac_content["stac_extensions"].index("proj")
                            self.stac_content["stac_extensions"][index] = "projection"
                        schemas = self.stac_content["stac_extensions"]
                        for extension in schemas:
                            if not (is_valid_url(extension) or extension.endswith(".json")):
                                # where are the extensions for 1.0.0-beta.2 on cdn.staclint.com?
                                if self.version == "1.0.0-beta.2":
                                    self.stac_content["stac_version"] = "1.0.0-beta.1"
                                    self.version = self.stac_content["stac_version"]
                                extension = f"https://cdn.staclint.com/v{self.version}/extension/{extension}.json"
                            self.schema = extension
                            self.custom_validator()
                            message["schema"].append(extension)
                except jsonschema.exceptions.ValidationError as e:
                    valid = False
                    if e.absolute_path:
                        err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])}"
                    else:
                        err_msg = f"{e.message} of the root of the STAC object"
                    message = self.create_err_msg("JSONSchemaValidationError", err_msg)
                    return message
                except Exception as e:
                    valid = False
                    err_msg = f"{e}. Error in Extensions."
                    return self.create_err_msg("Exception", err_msg)
            else:
                self.core_validator(stac_type)
                message["schema"] = [self.schema]
            self.valid = valid
            return message

        def custom_validator(self) -> None:
            """Validates a STAC JSON file against a JSON schema, which may be located
            either online or locally.

            The function checks whether the provided schema URL is valid and can be
            fetched and parsed. If the schema is hosted online, the function uses the
            fetched schema to validate the STAC JSON file. If the schema is local, the
            function resolves any references in the schema and then validates the STAC
            JSON file against the resolved schema. If the schema is specified as a
            relative path, the function resolves the path relative to the STAC JSON file
            being validated and uses the resolved schema to validate the STAC JSON file.

            Returns:
                None
            """
            # if schema is hosted online
            if is_valid_url(self.schema):
                schema = fetch_and_parse_schema(self.schema)
                jsonschema.validate(self.stac_content, schema)
            # in case the path to a json schema is local
            elif os.path.exists(self.schema):
                schema = fetch_and_parse_schema(self.schema)
                custom_abspath = os.path.abspath(self.schema)
                custom_dir = os.path.dirname(custom_abspath).replace("\\", "/")
                custom_uri = f"file:///{custom_dir}/"
                resolver = RefResolver(custom_uri, self.schema)
                jsonschema.validate(self.stac_content, schema, resolver=resolver)
            # deal with a relative path in the schema
            else:
                file_directory = os.path.dirname(os.path.abspath(str(self.stac_file)))
                self.schema = os.path.join(str(file_directory), self.schema)
                self.schema = os.path.abspath(os.path.realpath(self.schema))
                schema = fetch_and_parse_schema(self.schema)
                jsonschema.validate(self.stac_content, schema)

        def core_validator(self, stac_type: str) -> None:
            """Validate the STAC item or collection against the appropriate JSON schema.

            Args:
                stac_type (str): The type of STAC object being validated (either "item" or "collection").

            Returns:
                None

            Raises:
                ValidationError: If the STAC object fails to validate against the JSON schema.

            The function first determines the appropriate JSON schema to use based on the STAC object's type and version.
            If the version is one of the specified versions (0.8.0, 0.9.0, 1.0.0, 1.0.0-beta.1, 1.0.0-beta.2, or 1.0.0-rc.2),
            it uses the corresponding schema stored locally. Otherwise, it retrieves the schema from the appropriate URL
            using the `set_schema_addr` function. The function then calls the `custom_validator` method to validate the
            STAC object against the schema.
            """
            stac_type = stac_type.lower()
            self.schema = set_schema_addr(self.version, stac_type)
            self.custom_validator()

        def default_validator(self, stac_type: str) -> dict:
            """Validate the STAC catalog or item against the core schema and its extensions.

            Args:
                stac_type (str): The type of STAC object being validated. Must be either "catalog" or "item".

            Returns:
                A dictionary containing the results of the default validation, including whether the STAC object is valid,
                any validation errors encountered, and any links and assets that were validated.
            """
            message = self.create_message(stac_type, "default")
            message["schema"] = []
            self.core_validator(stac_type)
            core_schema = self.schema
            message["schema"].append(core_schema)
            stac_type = stac_type.upper()
            if stac_type == "ITEM":
                message = self.extensions_validator(stac_type)
                message["validation_method"] = "default"
                message["schema"].append(core_schema)
            if self.links:
                message["links_validated"] = self.links_validator()
            if self.assets:
                message["assets_validated"] = self.assets_validator()
            return message

        def recursive_validator(self, stac_type: str) -> bool:
            """Recursively validate a STAC JSON document against its JSON Schema.

            This method validates a STAC JSON document recursively against its JSON Schema by following its "child" and "item" links.
            It uses the `default_validator` and `fetch_and_parse_file` functions to validate the current STAC document and retrieve the
            next one to be validated, respectively.

            Args:
                self: An instance of the STACValidator class.
                stac_type: A string representing the STAC object type to validate.

            Returns:
                A boolean indicating whether the validation was successful.

            Raises:
                jsonschema.exceptions.ValidationError: If the STAC document does not validate against its JSON Schema.

            """
            if self.skip_val is False:
                self.schema = set_schema_addr(self.version, stac_type.lower())
                message = self.create_message(stac_type, "recursive")
                message["valid_stac"] = False
                try:
                    _ = self.default_validator(stac_type)

                except jsonschema.exceptions.ValidationError as e:
                    if e.absolute_path:
                        err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])}"
                    else:
                        err_msg = f"{e.message} of the root of the STAC object"
                    message.update(
                        self.create_err_msg("JSONSchemaValidationError", err_msg)
                    )
                    self.message.append(message)
                    if self.verbose is True:
                        click.echo(json.dumps(message, indent=4))
                    return False

                message["valid_stac"] = True
                self.message.append(message)
                if self.verbose:
                    click.echo(json.dumps(message, indent=4))
                self.depth += 1
                if self.max_depth and self.depth >= self.max_depth:
                    self.skip_val = True
                base_url = self.stac_file

                for link in self.stac_content["links"]:
                    if link["rel"] == "child" or link["rel"] == "item":
                        address = link["href"]
                        if not is_valid_url(address):
                            x = str(base_url).split("/")
                            x.pop(-1)
                            st = x[0]
                            for i in range(len(x)):
                                if i > 0:
                                    st = st + "/" + x[i]
                            self.stac_file = st + "/" + address
                        else:
                            self.stac_file = address
                        self.stac_content = fetch_and_parse_file(str(self.stac_file))
                        self.stac_content["stac_version"] = self.version
                        stac_type = get_stac_type(self.stac_content).lower()

                    if link["rel"] == "child":
                        self.recursive_validator(stac_type)

                    if link["rel"] == "item":
                        self.schema = set_schema_addr(self.version, stac_type.lower())
                        message = self.create_message(stac_type, "recursive")
                        if self.version == "0.7.0":
                            schema = fetch_and_parse_schema(self.schema)
                            # this next line prevents this: unknown url type: 'geojson.json' ??
                            schema["allOf"] = [{}]
                            jsonschema.validate(self.stac_content, schema)
                        else:
                            msg = self.default_validator(stac_type)
                            message["schema"] = msg["schema"]
                        message["valid_stac"] = True

                        if self.log != "":
                            self.message.append(message)
                        if (
                            not self.max_depth or self.max_depth < 5
                        ):  # TODO this should be configurable, correct?
                            self.message.append(message)
            return True

        def validate_dict(self, stac_content) -> bool:
            """Validate the contents of a dictionary representing a STAC object.

            Args:
                stac_content (dict): The dictionary representation of the STAC object to validate.

            Returns:
                A bool indicating if validation was successfull.
            """
            self.stac_content = stac_content
            return self.run()

        def validate_item_collection_dict(self, item_collection: dict) -> None:
            """Validate the contents of an item collection.

            Args:
                item_collection (dict): The dictionary representation of the item collection to validate.

            Returns:
                None
            """
            for item in item_collection["features"]:
                self.schema = ""
                self.validate_dict(item)

        def validate_item_collection(self) -> None:
            """Validate a STAC item collection.

            Raises:
                URLError: If there is an issue with the URL used to fetch the item collection.
                JSONDecodeError: If the item collection content cannot be parsed as JSON.
                ValueError: If the item collection does not conform to the STAC specification.
                TypeError: If the item collection content is not a dictionary or JSON object.
                FileNotFoundError: If the item collection file cannot be found.
                ConnectionError: If there is an issue with the internet connection used to fetch the item collection.
                exceptions.SSLError: If there is an issue with the SSL connection used to fetch the item collection.
                OSError: If there is an issue with the file system (e.g., read/write permissions) while trying to write to the log file.

            Returns:
                None
            """
            page = 1
            print(f"processing page {page}")
            item_collection = fetch_and_parse_file(str(self.stac_file))
            self.validate_item_collection_dict(item_collection)
            try:
                if self.pages is not None:
                    for _ in range(self.pages - 1):
                        if "links" in item_collection:
                            for link in item_collection["links"]:
                                if link["rel"] == "next":
                                    page = page + 1
                                    print(f"processing page {page}")
                                    next_link = link["href"]
                                    self.stac_file = next_link
                                    item_collection = fetch_and_parse_file(
                                        str(self.stac_file)
                                    )
                                    self.validate_item_collection_dict(item_collection)
                                    break
            except Exception as e:
                message = {}
                message[
                    "pagination_error"
                ] = f"Validating the item collection failed on page {page}: {str(e)}"
                self.message.append(message)

        def run(self) -> bool:
            """Runs the STAC validation process based on the input parameters.

            Returns:
                bool: True if the STAC is valid, False otherwise.

            Raises:
                URLError: If there is an error with the URL.
                JSONDecodeError: If there is an error decoding the JSON content.
                ValueError: If there is an invalid value.
                TypeError: If there is an invalid type.
                FileNotFoundError: If the file is not found.
                ConnectionError: If there is an error with the connection.
                exceptions.SSLError: If there is an SSL error.
                OSError: If there is an error with the operating system.
                jsonschema.exceptions.ValidationError: If the STAC content fails validation.
                KeyError: If the specified key is not found.
                HTTPError: If there is an error with the HTTP connection.
                Exception: If there is any other type of error.

            """
            message = {}
            try:
                if self.stac_file is not None and not self.item_collection:
                    self.stac_content = fetch_and_parse_file(self.stac_file)

                stac_type = get_stac_type(self.stac_content).upper()
                self.version = self.stac_content["stac_version"]

                if self.core:
                    message = self.create_message(stac_type, "core")
                    self.core_validator(stac_type)
                    message["schema"] = [self.schema]
                    self.valid = True
                elif self.schema != "":
                    message = self.create_message(stac_type, "custom")
                    message["schema"] = [self.schema]
                    self.custom_validator()
                    self.valid = True
                elif self.recursive:
                    self.valid = self.recursive_validator(stac_type)
                elif self.extensions:
                    message = self.extensions_validator(stac_type)
                else:
                    self.valid = True
                    message = self.default_validator(stac_type)

            except jsonschema.exceptions.ValidationError as e:
                if e.absolute_path:
                    err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])} "
                else:
                    err_msg = f"{e.message} of the root of the STAC object"
                message.update(self.create_err_msg("JSONSchemaValidationError", err_msg))

            except (
                URLError,
                JSONDecodeError,
                ValueError,
                TypeError,
                FileNotFoundError,
                ConnectionError,
                exceptions.SSLError,
                OSError,
                KeyError,
                HTTPError,
            ) as e:
                message.update(self.create_err_msg(type(e).__name__, str(e)))

            except Exception as e:
                message.update(self.create_err_msg("Exception", str(e)))

            if message:
                message["valid_stac"] = self.valid
                self.message.append(message)

            if self.log != "":
                with open(self.log, "w") as f:
                    f.write(json.dumps(self.message, indent=4))

            return self.valid

Methods

def assets_validator(self) ‑> dict

Validate assets.

Returns

A dictionary containing the asset validation results.

Expand source code 
def assets_validator(self) -> dict:
        """Validate assets.

        Returns:
            A dictionary containing the asset validation results.
        """
        initial_message = self.create_links_message()
        assets = self.stac_content.get("assets")
        if assets:
            for asset in assets.values():
                link_request(asset, initial_message)
        return initial_message
def core_validator(self, stac_type: str) ‑> NoneType

Validate the STAC item or collection against the appropriate JSON schema.

Args

stac_type : str
The type of STAC object being validated (either "item" or "collection").

Returns

None

Raises

ValidationError
If the STAC object fails to validate against the JSON schema.

The function first determines the appropriate JSON schema to use based on the STAC object's type and version. If the version is one of the specified versions (0.8.0, 0.9.0, 1.0.0, 1.0.0-beta.1, 1.0.0-beta.2, or 1.0.0-rc.2), it uses the corresponding schema stored locally. Otherwise, it retrieves the schema from the appropriate URL using the set_schema_addr function. The function then calls the custom_validator method to validate the STAC object against the schema.

Expand source code 
def core_validator(self, stac_type: str) -> None:
        """Validate the STAC item or collection against the appropriate JSON schema.

        Args:
            stac_type (str): The type of STAC object being validated (either "item" or "collection").

        Returns:
            None

        Raises:
            ValidationError: If the STAC object fails to validate against the JSON schema.

        The function first determines the appropriate JSON schema to use based on the STAC object's type and version.
        If the version is one of the specified versions (0.8.0, 0.9.0, 1.0.0, 1.0.0-beta.1, 1.0.0-beta.2, or 1.0.0-rc.2),
        it uses the corresponding schema stored locally. Otherwise, it retrieves the schema from the appropriate URL
        using the `set_schema_addr` function. The function then calls the `custom_validator` method to validate the
        STAC object against the schema.
        """
        stac_type = stac_type.lower()
        self.schema = set_schema_addr(self.version, stac_type)
        self.custom_validator()
def create_err_msg(self, err_type: str, err_msg: str) ‑> dict
Expand source code 
def create_err_msg(self, err_type: str, err_msg: str) -> dict:
        self.valid = False
        return {
            "version": self.version,
            "path": self.stac_file,
            "schema": [self.schema],
            "valid_stac": False,
            "error_type": err_type,
            "error_message": err_msg,
        }
Expand source code 
def create_links_message(self):
        format_valid = []
        format_invalid = []
        request_valid = []
        request_invalid = []
        return {
            "format_valid": format_valid,
            "format_invalid": format_invalid,
            "request_valid": request_valid,
            "request_invalid": request_invalid,
        }
def create_message(self, stac_type: str, val_type: str) ‑> dict
Expand source code 
def create_message(self, stac_type: str, val_type: str) -> dict:
        return {
            "version": self.version,
            "path": self.stac_file,
            "schema": [self.schema],
            "valid_stac": False,
            "asset_type": stac_type.upper(),
            "validation_method": val_type,
        }
def custom_validator(self) ‑> NoneType

Validates a STAC JSON file against a JSON schema, which may be located either online or locally.

The function checks whether the provided schema URL is valid and can be fetched and parsed. If the schema is hosted online, the function uses the fetched schema to validate the STAC JSON file. If the schema is local, the function resolves any references in the schema and then validates the STAC JSON file against the resolved schema. If the schema is specified as a relative path, the function resolves the path relative to the STAC JSON file being validated and uses the resolved schema to validate the STAC JSON file.

Returns

None

Expand source code 
def custom_validator(self) -> None:
        """Validates a STAC JSON file against a JSON schema, which may be located
        either online or locally.

        The function checks whether the provided schema URL is valid and can be
        fetched and parsed. If the schema is hosted online, the function uses the
        fetched schema to validate the STAC JSON file. If the schema is local, the
        function resolves any references in the schema and then validates the STAC
        JSON file against the resolved schema. If the schema is specified as a
        relative path, the function resolves the path relative to the STAC JSON file
        being validated and uses the resolved schema to validate the STAC JSON file.

        Returns:
            None
        """
        # if schema is hosted online
        if is_valid_url(self.schema):
            schema = fetch_and_parse_schema(self.schema)
            jsonschema.validate(self.stac_content, schema)
        # in case the path to a json schema is local
        elif os.path.exists(self.schema):
            schema = fetch_and_parse_schema(self.schema)
            custom_abspath = os.path.abspath(self.schema)
            custom_dir = os.path.dirname(custom_abspath).replace("\\", "/")
            custom_uri = f"file:///{custom_dir}/"
            resolver = RefResolver(custom_uri, self.schema)
            jsonschema.validate(self.stac_content, schema, resolver=resolver)
        # deal with a relative path in the schema
        else:
            file_directory = os.path.dirname(os.path.abspath(str(self.stac_file)))
            self.schema = os.path.join(str(file_directory), self.schema)
            self.schema = os.path.abspath(os.path.realpath(self.schema))
            schema = fetch_and_parse_schema(self.schema)
            jsonschema.validate(self.stac_content, schema)
def default_validator(self, stac_type: str) ‑> dict

Validate the STAC catalog or item against the core schema and its extensions.

Args

stac_type : str
The type of STAC object being validated. Must be either "catalog" or "item".

Returns

A dictionary containing the results of the default validation, including whether the STAC object is valid, any validation errors encountered, and any links and assets that were validated.

Expand source code 
def default_validator(self, stac_type: str) -> dict:
        """Validate the STAC catalog or item against the core schema and its extensions.

        Args:
            stac_type (str): The type of STAC object being validated. Must be either "catalog" or "item".

        Returns:
            A dictionary containing the results of the default validation, including whether the STAC object is valid,
            any validation errors encountered, and any links and assets that were validated.
        """
        message = self.create_message(stac_type, "default")
        message["schema"] = []
        self.core_validator(stac_type)
        core_schema = self.schema
        message["schema"].append(core_schema)
        stac_type = stac_type.upper()
        if stac_type == "ITEM":
            message = self.extensions_validator(stac_type)
            message["validation_method"] = "default"
            message["schema"].append(core_schema)
        if self.links:
            message["links_validated"] = self.links_validator()
        if self.assets:
            message["assets_validated"] = self.assets_validator()
        return message
def extensions_validator(self, stac_type: str) ‑> dict

Validate the STAC extensions according to their corresponding JSON schemas.

Args

stac_type : str
The STAC object type ("ITEM" or "COLLECTION").

Returns

dict
A dictionary containing validation results.

Raises

JSONSchemaValidationError
If there is a validation error in the JSON schema.
Exception
If there is an error in the STAC extension validation process.
Expand source code 
def extensions_validator(self, stac_type: str) -> dict:
        """Validate the STAC extensions according to their corresponding JSON schemas.

        Args:
            stac_type (str): The STAC object type ("ITEM" or "COLLECTION").

        Returns:
            dict: A dictionary containing validation results.

        Raises:
            JSONSchemaValidationError: If there is a validation error in the JSON schema.
            Exception: If there is an error in the STAC extension validation process.
        """
        message = self.create_message(stac_type, "extensions")
        message["schema"] = []
        valid = True
        if stac_type == "ITEM":
            try:
                if "stac_extensions" in self.stac_content:
                    # error with the 'proj' extension not being 'projection' in older stac
                    if "proj" in self.stac_content["stac_extensions"]:
                        index = self.stac_content["stac_extensions"].index("proj")
                        self.stac_content["stac_extensions"][index] = "projection"
                    schemas = self.stac_content["stac_extensions"]
                    for extension in schemas:
                        if not (is_valid_url(extension) or extension.endswith(".json")):
                            # where are the extensions for 1.0.0-beta.2 on cdn.staclint.com?
                            if self.version == "1.0.0-beta.2":
                                self.stac_content["stac_version"] = "1.0.0-beta.1"
                                self.version = self.stac_content["stac_version"]
                            extension = f"https://cdn.staclint.com/v{self.version}/extension/{extension}.json"
                        self.schema = extension
                        self.custom_validator()
                        message["schema"].append(extension)
            except jsonschema.exceptions.ValidationError as e:
                valid = False
                if e.absolute_path:
                    err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])}"
                else:
                    err_msg = f"{e.message} of the root of the STAC object"
                message = self.create_err_msg("JSONSchemaValidationError", err_msg)
                return message
            except Exception as e:
                valid = False
                err_msg = f"{e}. Error in Extensions."
                return self.create_err_msg("Exception", err_msg)
        else:
            self.core_validator(stac_type)
            message["schema"] = [self.schema]
        self.valid = valid
        return message

Validate links.

Returns

A dictionary containing the link validation results.

Expand source code 
def links_validator(self) -> dict:
        """Validate links.

        Returns:
            A dictionary containing the link validation results.
        """
        initial_message = self.create_links_message()
        # get root_url for checking relative links
        root_url = ""
        for link in self.stac_content["links"]:
            if link["rel"] in ["self", "alternate"] and is_valid_url(link["href"]):
                root_url = (
                    link["href"].split("/")[0] + "//" + link["href"].split("/")[2]
                )
        for link in self.stac_content["links"]:
            if not is_valid_url(link["href"]):
                link["href"] = root_url + link["href"][1:]
            link_request(link, initial_message)

        return initial_message
def recursive_validator(self, stac_type: str) ‑> bool

Recursively validate a STAC JSON document against its JSON Schema.

This method validates a STAC JSON document recursively against its JSON Schema by following its "child" and "item" links. It uses the default_validator and fetch_and_parse_file functions to validate the current STAC document and retrieve the next one to be validated, respectively.

Args

self
An instance of the STACValidator class.
stac_type
A string representing the STAC object type to validate.

Returns

A boolean indicating whether the validation was successful.

Raises

jsonschema.exceptions.ValidationError
If the STAC document does not validate against its JSON Schema.
Expand source code 
def recursive_validator(self, stac_type: str) -> bool:
        """Recursively validate a STAC JSON document against its JSON Schema.

        This method validates a STAC JSON document recursively against its JSON Schema by following its "child" and "item" links.
        It uses the `default_validator` and `fetch_and_parse_file` functions to validate the current STAC document and retrieve the
        next one to be validated, respectively.

        Args:
            self: An instance of the STACValidator class.
            stac_type: A string representing the STAC object type to validate.

        Returns:
            A boolean indicating whether the validation was successful.

        Raises:
            jsonschema.exceptions.ValidationError: If the STAC document does not validate against its JSON Schema.

        """
        if self.skip_val is False:
            self.schema = set_schema_addr(self.version, stac_type.lower())
            message = self.create_message(stac_type, "recursive")
            message["valid_stac"] = False
            try:
                _ = self.default_validator(stac_type)

            except jsonschema.exceptions.ValidationError as e:
                if e.absolute_path:
                    err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])}"
                else:
                    err_msg = f"{e.message} of the root of the STAC object"
                message.update(
                    self.create_err_msg("JSONSchemaValidationError", err_msg)
                )
                self.message.append(message)
                if self.verbose is True:
                    click.echo(json.dumps(message, indent=4))
                return False

            message["valid_stac"] = True
            self.message.append(message)
            if self.verbose:
                click.echo(json.dumps(message, indent=4))
            self.depth += 1
            if self.max_depth and self.depth >= self.max_depth:
                self.skip_val = True
            base_url = self.stac_file

            for link in self.stac_content["links"]:
                if link["rel"] == "child" or link["rel"] == "item":
                    address = link["href"]
                    if not is_valid_url(address):
                        x = str(base_url).split("/")
                        x.pop(-1)
                        st = x[0]
                        for i in range(len(x)):
                            if i > 0:
                                st = st + "/" + x[i]
                        self.stac_file = st + "/" + address
                    else:
                        self.stac_file = address
                    self.stac_content = fetch_and_parse_file(str(self.stac_file))
                    self.stac_content["stac_version"] = self.version
                    stac_type = get_stac_type(self.stac_content).lower()

                if link["rel"] == "child":
                    self.recursive_validator(stac_type)

                if link["rel"] == "item":
                    self.schema = set_schema_addr(self.version, stac_type.lower())
                    message = self.create_message(stac_type, "recursive")
                    if self.version == "0.7.0":
                        schema = fetch_and_parse_schema(self.schema)
                        # this next line prevents this: unknown url type: 'geojson.json' ??
                        schema["allOf"] = [{}]
                        jsonschema.validate(self.stac_content, schema)
                    else:
                        msg = self.default_validator(stac_type)
                        message["schema"] = msg["schema"]
                    message["valid_stac"] = True

                    if self.log != "":
                        self.message.append(message)
                    if (
                        not self.max_depth or self.max_depth < 5
                    ):  # TODO this should be configurable, correct?
                        self.message.append(message)
        return True
def run(self) ‑> bool

Runs the STAC validation process based on the input parameters.

Returns

bool
True if the STAC is valid, False otherwise.

Raises

URLError
If there is an error with the URL.
JSONDecodeError
If there is an error decoding the JSON content.
ValueError
If there is an invalid value.
TypeError
If there is an invalid type.
FileNotFoundError
If the file is not found.
ConnectionError
If there is an error with the connection.
exceptions.SSLError
If there is an SSL error.
OSError
If there is an error with the operating system.
jsonschema.exceptions.ValidationError
If the STAC content fails validation.
KeyError
If the specified key is not found.
HTTPError
If there is an error with the HTTP connection.
Exception
If there is any other type of error.
Expand source code 
def run(self) -> bool:
        """Runs the STAC validation process based on the input parameters.

        Returns:
            bool: True if the STAC is valid, False otherwise.

        Raises:
            URLError: If there is an error with the URL.
            JSONDecodeError: If there is an error decoding the JSON content.
            ValueError: If there is an invalid value.
            TypeError: If there is an invalid type.
            FileNotFoundError: If the file is not found.
            ConnectionError: If there is an error with the connection.
            exceptions.SSLError: If there is an SSL error.
            OSError: If there is an error with the operating system.
            jsonschema.exceptions.ValidationError: If the STAC content fails validation.
            KeyError: If the specified key is not found.
            HTTPError: If there is an error with the HTTP connection.
            Exception: If there is any other type of error.

        """
        message = {}
        try:
            if self.stac_file is not None and not self.item_collection:
                self.stac_content = fetch_and_parse_file(self.stac_file)

            stac_type = get_stac_type(self.stac_content).upper()
            self.version = self.stac_content["stac_version"]

            if self.core:
                message = self.create_message(stac_type, "core")
                self.core_validator(stac_type)
                message["schema"] = [self.schema]
                self.valid = True
            elif self.schema != "":
                message = self.create_message(stac_type, "custom")
                message["schema"] = [self.schema]
                self.custom_validator()
                self.valid = True
            elif self.recursive:
                self.valid = self.recursive_validator(stac_type)
            elif self.extensions:
                message = self.extensions_validator(stac_type)
            else:
                self.valid = True
                message = self.default_validator(stac_type)

        except jsonschema.exceptions.ValidationError as e:
            if e.absolute_path:
                err_msg = f"{e.message}. Error is in {' -> '.join([str(i) for i in e.absolute_path])} "
            else:
                err_msg = f"{e.message} of the root of the STAC object"
            message.update(self.create_err_msg("JSONSchemaValidationError", err_msg))

        except (
            URLError,
            JSONDecodeError,
            ValueError,
            TypeError,
            FileNotFoundError,
            ConnectionError,
            exceptions.SSLError,
            OSError,
            KeyError,
            HTTPError,
        ) as e:
            message.update(self.create_err_msg(type(e).__name__, str(e)))

        except Exception as e:
            message.update(self.create_err_msg("Exception", str(e)))

        if message:
            message["valid_stac"] = self.valid
            self.message.append(message)

        if self.log != "":
            with open(self.log, "w") as f:
                f.write(json.dumps(self.message, indent=4))

        return self.valid
def validate_dict(self, stac_content) ‑> bool

Validate the contents of a dictionary representing a STAC object.

Args

stac_content : dict
The dictionary representation of the STAC object to validate.

Returns

A bool indicating if validation was successfull.

Expand source code 
def validate_dict(self, stac_content) -> bool:
        """Validate the contents of a dictionary representing a STAC object.

        Args:
            stac_content (dict): The dictionary representation of the STAC object to validate.

        Returns:
            A bool indicating if validation was successfull.
        """
        self.stac_content = stac_content
        return self.run()
def validate_item_collection(self) ‑> NoneType

Validate a STAC item collection.

Raises

URLError
If there is an issue with the URL used to fetch the item collection.
JSONDecodeError
If the item collection content cannot be parsed as JSON.
ValueError
If the item collection does not conform to the STAC specification.
TypeError
If the item collection content is not a dictionary or JSON object.
FileNotFoundError
If the item collection file cannot be found.
ConnectionError
If there is an issue with the internet connection used to fetch the item collection.
exceptions.SSLError
If there is an issue with the SSL connection used to fetch the item collection.
OSError
If there is an issue with the file system (e.g., read/write permissions) while trying to write to the log file.

Returns

None

Expand source code 
def validate_item_collection(self) -> None:
        """Validate a STAC item collection.

        Raises:
            URLError: If there is an issue with the URL used to fetch the item collection.
            JSONDecodeError: If the item collection content cannot be parsed as JSON.
            ValueError: If the item collection does not conform to the STAC specification.
            TypeError: If the item collection content is not a dictionary or JSON object.
            FileNotFoundError: If the item collection file cannot be found.
            ConnectionError: If there is an issue with the internet connection used to fetch the item collection.
            exceptions.SSLError: If there is an issue with the SSL connection used to fetch the item collection.
            OSError: If there is an issue with the file system (e.g., read/write permissions) while trying to write to the log file.

        Returns:
            None
        """
        page = 1
        print(f"processing page {page}")
        item_collection = fetch_and_parse_file(str(self.stac_file))
        self.validate_item_collection_dict(item_collection)
        try:
            if self.pages is not None:
                for _ in range(self.pages - 1):
                    if "links" in item_collection:
                        for link in item_collection["links"]:
                            if link["rel"] == "next":
                                page = page + 1
                                print(f"processing page {page}")
                                next_link = link["href"]
                                self.stac_file = next_link
                                item_collection = fetch_and_parse_file(
                                    str(self.stac_file)
                                )
                                self.validate_item_collection_dict(item_collection)
                                break
        except Exception as e:
            message = {}
            message[
                "pagination_error"
            ] = f"Validating the item collection failed on page {page}: {str(e)}"
            self.message.append(message)
def validate_item_collection_dict(self, item_collection: dict) ‑> NoneType

Validate the contents of an item collection.

Args

item_collection : dict
The dictionary representation of the item collection to validate.

Returns

None

Expand source code 
def validate_item_collection_dict(self, item_collection: dict) -> None:
        """Validate the contents of an item collection.

        Args:
            item_collection (dict): The dictionary representation of the item collection to validate.

        Returns:
            None
        """
        for item in item_collection["features"]:
            self.schema = ""
            self.validate_dict(item)
stac-validator-4.2.2/local_schemas/000077500000000000000000000000001517436701200172375ustar00rootroot00000000000000stac-validator-4.2.2/local_schemas/v1.0.0/000077500000000000000000000000001517436701200200615ustar00rootroot00000000000000stac-validator-4.2.2/local_schemas/v1.0.0/catalog.json000066400000000000000000000044621517436701200223740ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0/catalog-spec/json-schema/catalog.json#", "title": "STAC Catalog Specification", "description": "This object represents Catalogs in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/catalog" } ], "definitions": { "catalog": { "title": "STAC Catalog", "type": "object", "required": [ "stac_version", "type", "id", "description", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.0.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Catalog" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "title": { "title": "Title", "type": "string" }, "description": { "title": "Description", "type": "string", "minLength": 1 }, "links": { "title": "Links", "type": "array", "items": { "$ref": "#/definitions/link" } } } }, "link": { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" } } } } }stac-validator-4.2.2/local_schemas/v1.0.0/collection.json000066400000000000000000000171031517436701200231110ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json#", "title": "STAC Collection Specification", "description": "This object represents Collections in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/collection" } ], "definitions": { "collection": { "title": "STAC Collection", "description": "These are the fields specific to a STAC Collection. All other fields are inherited from STAC Catalog.", "type": "object", "required": [ "stac_version", "type", "id", "description", "license", "extent", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.0.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Collection" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "title": { "title": "Title", "type": "string" }, "description": { "title": "Description", "type": "string", "minLength": 1 }, "keywords": { "title": "Keywords", "type": "array", "items": { "type": "string" } }, "license": { "title": "Collection License Name", "type": "string", "pattern": "^[\\w\\-\\.\\+]+$" }, "providers": { "type": "array", "items": { "type": "object", "required": [ "name" ], "properties": { "name": { "title": "Organization name", "type": "string" }, "description": { "title": "Organization description", "type": "string" }, "roles": { "title": "Organization roles", "type": "array", "items": { "type": "string", "enum": [ "producer", "licensor", "processor", "host" ] } }, "url": { "title": "Organization homepage", "type": "string", "format": "iri" } } } }, "extent": { "title": "Extents", "type": "object", "required": [ "spatial", "temporal" ], "properties": { "spatial": { "title": "Spatial extent object", "type": "object", "required": [ "bbox" ], "properties": { "bbox": { "title": "Spatial extents", "type": "array", "minItems": 1, "items": { "title": "Spatial extent", "type": "array", "oneOf": [ { "minItems":4, "maxItems":4 }, { "minItems":6, "maxItems":6 } ], "items": { "type": "number" } } } } }, "temporal": { "title": "Temporal extent object", "type": "object", "required": [ "interval" ], "properties": { "interval": { "title": "Temporal extents", "type": "array", "minItems": 1, "items": { "title": "Temporal extent", "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "string", "null" ], "format": "date-time", "pattern": "(\\+00:00|Z)$" } } } } } } }, "assets": { "$ref": "../../item-spec/json-schema/item.json#/definitions/assets" }, "links": { "title": "Links", "type": "array", "items": { "$ref": "#/definitions/link" } }, "summaries": { "$ref": "#/definitions/summaries" } } }, "link": { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" } } }, "summaries": { "type": "object", "additionalProperties": { "anyOf": [ { "title": "JSON Schema", "type": "object", "minProperties": 1, "allOf": [ { "$ref": "http://json-schema.org/draft-07/schema" } ] }, { "title": "Range", "type": "object", "required": [ "minimum", "maximum" ], "properties": { "minimum": { "title": "Minimum value", "type": [ "number", "string" ] }, "maximum": { "title": "Maximum value", "type": [ "number", "string" ] } } }, { "title": "Set of values", "type": "array", "minItems": 1, "items": { "description": "For each field only the original data type of the property can occur (except for arrays), but we can't validate that in JSON Schema yet. See the sumamry description in the STAC specification for details." } } ] } } } }stac-validator-4.2.2/local_schemas/v1.0.0/extensions/000077500000000000000000000000001517436701200222605ustar00rootroot00000000000000stac-validator-4.2.2/local_schemas/v1.0.0/extensions/eo.json000066400000000000000000000116541517436701200235650ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "title": "Projection Extension", "description": "STAC Projection Extension for STAC Items.", "oneOf": [ { "$comment": "This is the schema for STAC Items.", "allOf": [ { "type": "object", "required": [ "type", "properties", "assets" ], "properties": { "type": { "const": "Feature" }, "properties": { "allOf": [ { "$comment": "Require fields here for item properties.", "required": [ "proj:epsg" ] }, { "$ref": "#/definitions/fields" } ] }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] }, { "$comment": "This is the schema for STAC Collections.", "allOf": [ { "type": "object", "required": [ "type" ], "properties": { "type": { "const": "Collection" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "const": "https://stac-extensions.github.io/projection/v1.0.0/schema.json" } } } }, "fields": { "$comment": "Add your new fields here. Don't require them here, do that above in the item schema.", "type": "object", "properties": { "proj:epsg":{ "title":"EPSG code", "type":[ "integer", "null" ] }, "proj:wkt2":{ "title":"Coordinate Reference System in WKT2 format", "type":[ "string", "null" ] }, "proj:projjson": { "title":"Coordinate Reference System in PROJJSON format", "oneOf": [ { "$ref": "https://proj.org/schemas/v0.2/projjson.schema.json" }, { "type": "null" } ] }, "proj:geometry":{ "$ref": "https://geojson.org/schema/Geometry.json" }, "proj:bbox":{ "title":"Extent", "type":"array", "oneOf": [ { "minItems":4, "maxItems":4 }, { "minItems":6, "maxItems":6 } ], "items":{ "type":"number" } }, "proj:centroid":{ "title":"Centroid", "type":"object", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "minimum": -90, "maximum": 90 }, "lon": { "type": "number", "minimum": -180, "maximum": 180 } } }, "proj:shape":{ "title":"Shape", "type":"array", "minItems":2, "maxItems":2, "items":{ "type":"integer" } }, "proj:transform":{ "title":"Transform", "type":"array", "oneOf": [ { "minItems":6, "maxItems":6 }, { "minItems":9, "maxItems":9 } ], "items":{ "type":"number" } } }, "patternProperties": { "^(?!proj:)": {} }, "additionalProperties": false } } }stac-validator-4.2.2/local_schemas/v1.0.0/extensions/projection.json000066400000000000000000000114361517436701200253340ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "projection.json", "title": "Projection Extension", "description": "STAC Projection Extension for STAC Items.", "oneOf": [ { "$comment": "This is the schema for STAC Items.", "allOf": [ { "type": "object", "required": [ "type", "properties", "assets" ], "properties": { "type": { "const": "Feature" }, "properties": { "allOf": [ { "$comment": "Require fields here for item properties.", "required": [ "proj:epsg" ] }, { "$ref": "#/definitions/fields" } ] }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] }, { "$comment": "This is the schema for STAC Collections.", "allOf": [ { "type": "object", "required": [ "type" ], "properties": { "type": { "const": "Collection" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array" } } }, "fields": { "$comment": "Add your new fields here. Don't require them here, do that above in the item schema.", "type": "object", "properties": { "proj:epsg": { "title": "EPSG code", "type": [ "integer", "null" ] }, "proj:wkt2": { "title": "Coordinate Reference System in WKT2 format", "type": [ "string", "null" ] }, "proj:projjson": { "title": "Coordinate Reference System in PROJJSON format", "oneOf": [ { "$ref": "https://proj.org/schemas/v0.2/projjson.schema.json" }, { "type": "null" } ] }, "proj:geometry": { "$ref": "https://geojson.org/schema/Geometry.json" }, "proj:bbox": { "title": "Extent", "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } }, "proj:centroid": { "title": "Centroid", "type": "object", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "minimum": -90, "maximum": 90 }, "lon": { "type": "number", "minimum": -180, "maximum": 180 } } }, "proj:shape": { "title": "Shape", "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": "integer" } }, "proj:transform": { "title": "Transform", "type": "array", "oneOf": [ { "minItems": 6, "maxItems": 6 }, { "minItems": 9, "maxItems": 9 } ], "items": { "type": "number" } } }, "patternProperties": { "^(?!proj:)": {} }, "additionalProperties": false } } }stac-validator-4.2.2/local_schemas/v1.0.0/item.json000066400000000000000000000161401517436701200217140ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json#", "title": "STAC Item", "type": "object", "description": "This object represents the metadata for an item in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/core" } ], "definitions": { "common_metadata": { "allOf": [ { "$ref": "basics.json" }, { "$ref": "datetime.json" }, { "$ref": "instrument.json" }, { "$ref": "licensing.json" }, { "$ref": "provider.json" } ] }, "core": { "allOf": [ { "$ref": "https://geojson.org/schema/Feature.json" }, { "oneOf": [ { "type": "object", "required": [ "geometry", "bbox" ], "properties": { "geometry": { "$ref": "https://geojson.org/schema/Geometry.json" }, "bbox": { "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } } } }, { "type": "object", "required": [ "geometry" ], "properties": { "geometry": { "type": "null" }, "bbox": { "not": {} } } } ] }, { "type": "object", "required": [ "stac_version", "id", "links", "assets", "properties" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.0.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "id": { "title": "Provider ID", "description": "Provider item ID", "type": "string", "minLength": 1 }, "links": { "title": "Item links", "description": "Links to item relations", "type": "array", "items": { "$ref": "#/definitions/link" } }, "assets": { "$ref": "#/definitions/assets" }, "properties": { "allOf": [ { "$ref": "#/definitions/common_metadata" }, { "anyOf": [ { "required": [ "datetime" ], "properties": { "datetime": { "not": { "type": "null" } } } }, { "required": [ "datetime", "start_datetime", "end_datetime" ] } ] } ] } }, "if": { "properties": { "links": { "contains": { "required": [ "rel" ], "properties": { "rel": { "const": "collection" } } } } } }, "then": { "required": [ "collection" ], "properties": { "collection": { "title": "Collection ID", "description": "The ID of the STAC Collection this Item references to.", "type": "string", "minLength": 1 } } }, "else": { "properties": { "collection": { "not": {} } } } } ] }, "link": { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" } } }, "assets": { "title": "Asset links", "description": "Links to assets", "type": "object", "additionalProperties": { "$ref": "#/definitions/asset" } }, "asset": { "allOf": [ { "type": "object", "required": [ "href" ], "properties": { "href": { "title": "Asset reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } }, { "$ref": "#/definitions/common_metadata" } ] } } }stac-validator-4.2.2/local_schemas/v1.1.0/000077500000000000000000000000001517436701200200625ustar00rootroot00000000000000stac-validator-4.2.2/local_schemas/v1.1.0/catalog.json000066400000000000000000000030601517436701200223660ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.1.0/catalog-spec/json-schema/catalog.json", "title": "STAC Catalog Specification", "description": "This object represents Catalogs in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/catalog" }, { "$ref": "../../item-spec/json-schema/common.json" } ], "definitions": { "catalog": { "title": "STAC Catalog", "type": "object", "$comment": "title and description is validated through the common metadata.", "required": [ "stac_version", "type", "id", "description", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.1.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Catalog" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "links": { "$ref": "../../item-spec/json-schema/item.json#/definitions/links" } } } } }stac-validator-4.2.2/local_schemas/v1.1.0/collection.json000066400000000000000000000155041517436701200231150ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.1.0/collection-spec/json-schema/collection.json", "title": "STAC Collection Specification", "description": "This object represents Collections in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/collection" }, { "$ref": "../../item-spec/json-schema/common.json" } ], "definitions": { "collection": { "title": "STAC Collection", "description": "These are the fields specific to a STAC Collection.", "type": "object", "$comment": "title, description, keywords, providers and license is validated through the common metadata.", "required": [ "stac_version", "type", "id", "description", "license", "extent", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.1.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Collection" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "extent": { "title": "Extents", "type": "object", "required": [ "spatial", "temporal" ], "properties": { "spatial": { "title": "Spatial extent object", "type": "object", "required": [ "bbox" ], "properties": { "bbox": { "title": "Spatial extents", "type": "array", "oneOf": [ { "minItems": 1, "maxItems": 1 }, { "minItems": 3 } ], "items": { "title": "Spatial extent", "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } } } } }, "temporal": { "title": "Temporal extent object", "type": "object", "required": [ "interval" ], "properties": { "interval": { "title": "Temporal extents", "type": "array", "minItems": 1, "items": { "title": "Temporal extent", "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "string", "null" ], "format": "date-time", "pattern": "(\\+00:00|Z)$" } } } } } } }, "assets": { "$ref": "../../item-spec/json-schema/item.json#/definitions/assets" }, "item_assets": { "additionalProperties": { "allOf": [ { "type": "object", "minProperties": 2, "properties": { "href": { "title": "Disallow href", "not": {} }, "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } }, { "$ref": "../../item-spec/json-schema/common.json" } ] } }, "links": { "$ref": "../../item-spec/json-schema/item.json#/definitions/links" }, "summaries": { "$ref": "#/definitions/summaries" } } }, "summaries": { "type": "object", "additionalProperties": { "anyOf": [ { "title": "JSON Schema", "type": "object", "minProperties": 1, "allOf": [ { "$ref": "http://json-schema.org/draft-07/schema" } ] }, { "title": "Range", "type": "object", "required": [ "minimum", "maximum" ], "properties": { "minimum": { "title": "Minimum value", "type": [ "number", "string" ] }, "maximum": { "title": "Maximum value", "type": [ "number", "string" ] } } }, { "title": "Set of values", "type": "array", "minItems": 1, "items": { "description": "For each field only the original data type of the property can occur (except for arrays), but we can't validate that in JSON Schema yet. See the sumamry description in the STAC specification for details." } } ] } } } }stac-validator-4.2.2/local_schemas/v1.1.0/item.json000066400000000000000000000233411517436701200217160ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json", "title": "STAC Item", "type": "object", "description": "This object represents the metadata for an item in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/core" } ], "definitions": { "core": { "allOf": [ { "$ref": "https://geojson.org/schema/Feature.json" }, { "oneOf": [ { "type": "object", "required": [ "geometry", "bbox" ], "properties": { "geometry": { "$ref": "https://geojson.org/schema/Geometry.json" }, "bbox": { "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } } } }, { "type": "object", "required": [ "geometry" ], "properties": { "geometry": { "type": "null" }, "bbox": { "not": {} } } } ] }, { "type": "object", "required": [ "stac_version", "id", "links", "assets", "properties" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.1.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "id": { "title": "Provider ID", "description": "Provider item ID", "type": "string", "minLength": 1 }, "links": { "$ref": "#/definitions/links" }, "assets": { "$ref": "#/definitions/assets" }, "properties": { "allOf": [ { "$ref": "common.json" }, { "anyOf": [ { "required": [ "datetime" ], "properties": { "datetime": { "not": { "type": "null" } } } }, { "required": [ "datetime", "start_datetime", "end_datetime" ] } ] } ] } }, "$comment": "Rules enforcement for STAC Item", "allOf": [ { "if": { "properties": { "links": { "contains": { "required": [ "rel" ], "properties": { "rel": { "const": "collection" } } } } } }, "then": { "required": [ "collection" ], "properties": { "collection": { "title": "Collection ID", "description": "The ID of the STAC Collection this Item references to.", "type": "string", "minLength": 1 } } }, "else": { "properties": { "collection": { "not": {} } } } }, { "$comment": "The if-then-else below checks whether the bands field is given in assets or not. If not, allows bands in properties (then), otherwise, disallows bands in properties (else).", "if": { "$comment": "If there is no asset with bands...", "required": [ "assets" ], "properties": { "assets": { "type": "object", "additionalProperties": { "properties": { "bands": false } } } } }, "then": { "$comment": "... then bands are not allowed in properties...", "properties": { "properties": { "properties": { "bands": false } } } }, "else": { "$comment": "... otherwise bands are allowed in properties.", "properties": { "properties": { "$ref": "bands.json" } } } } ] } ] }, "links": { "title": "Item links", "description": "Links to item relations", "type": "array", "items": { "$ref": "#/definitions/link" } }, "link": { "allOf": [ { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" }, "method": { "title": "Link method", "type": "string", "pattern": "^[A-Z]+$", "default": "GET" }, "headers": { "title": "Link headers", "type": "object", "additionalProperties": { "oneOf": [ { "type": "string" }, { "type": "array", "items": { "type": "string" } } ] } }, "body": { "title": "Link body", "$comment": "Any type is allowed." } }, "$comment": "Link with relationship `self` must be absolute URI", "if": { "properties": { "rel": { "const": "self" } } }, "then": { "properties": { "href": { "format": "iri" } } } }, { "$ref": "common.json" } ] }, "assets": { "title": "Asset links", "description": "Links to assets", "type": "object", "additionalProperties": { "$ref": "#/definitions/asset" } }, "asset": { "allOf": [ { "type": "object", "required": [ "href" ], "properties": { "href": { "title": "Asset reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } }, { "$ref": "common.json" } ] } } }stac-validator-4.2.2/pyproject.toml000066400000000000000000000031051517436701200173550ustar00rootroot00000000000000[build-system] requires = ["setuptools>=61.0", "wheel"] build-backend = "setuptools.build_meta" [project] name = "stac_valid" version = "4.2.2" description = "A package to validate STAC files" authors = [ {name = "James Banting"}, {name = "Jonathan Healy", email = "jon@healy-hyperspatial.dev"} ] license = {text = "Apache-2.0"} classifiers = [ "Intended Audience :: Information Technology", "Intended Audience :: Science/Research", "License :: OSI Approved :: Apache Software License", "Programming Language :: Python :: 3.8", "Topic :: Scientific/Engineering :: GIS", ] keywords = ["STAC", "validation", "raster"] requires-python = ">=3.8" dependencies = [ "requests>=2.32.3", "jsonschema>=4.23.0", "fastjsonschema>=2.21.1", "click>=8.1.8", "referencing>=0.35.1", "pyYAML>=6.0.1", "tqdm>=4.66.0", ] [project.optional-dependencies] dev = [ "black", "pytest", "pytest-mypy", "pre-commit", "requests-mock", "types-setuptools", "stac-pydantic>=3.3.0", "mypy", "types-attrs", "types-requests", "types-jsonschema", "types-tqdm" ] pydantic = [ "stac-pydantic>=3.3.0" ] [project.urls] Homepage = "https://github.com/stac-utils/stac-validator" Repository = "https://github.com/stac-utils/stac-validator" [project.readme] file = "README.md" content-type = "text/markdown" [tool.setuptools] packages = ["stac_validator"] [project.scripts] stac-validator = "stac_validator.stac_validator:cli" stac-valid = "stac_validator.stac_validator:cli" [tool.setuptools.package-data] stac_validator = ["*.yaml"]stac-validator-4.2.2/sample_data/000077500000000000000000000000001517436701200167145ustar00rootroot00000000000000stac-validator-4.2.2/sample_data/collection.json000066400000000000000000000242571517436701200217540ustar00rootroot00000000000000{ "id": "sentinel-s2-l2a-cogs-test", "stac_version": "1.0.0", "type": "Collection", "description": "Sentinel-2a and Sentinel-2b imagery, processed to Level 2A (Surface Reflectance) and converted to Cloud-Optimized GeoTIFFs", "links": [ { "rel": "self", "href": "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a-cogs" }, { "rel": "license", "href": "https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice" }, { "rel": "about", "href": "https://github.com/stac-utils/stac-sentinel" }, { "rel": "parent", "href": "https://earth-search.aws.element84.com/v0/" }, { "rel": "root", "href": "https://earth-search.aws.element84.com/v0/" }, { "rel": "items", "href": "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a-cogs/items" } ], "stac_extensions": [ "https://stac-extensions.github.io/item-assets/v1.0.0/schema.json" ], "title": "Sentinel 2 L2A COGs", "keywords": [ "sentinel", "earth observation", "esa" ], "providers": [ { "name": "ESA", "roles": [ "producer" ], "url": "https://earth.esa.int/web/guest/home" }, { "name": "Sinergise", "roles": [ "processor" ], "url": "https://registry.opendata.aws/sentinel-2/" }, { "name": "AWS", "roles": [ "host" ], "url": "http://sentinel-pds.s3-website.eu-central-1.amazonaws.com/" }, { "name": "Element 84", "roles": [ "processor" ], "url": "https://element84.com" } ], "summaries": { "platform": [ "sentinel-2a", "sentinel-2b" ], "constellation": [ "sentinel-2" ], "instruments": [ "msi" ], "gsd": [ 10 ], "view:off_nadir": [ 0 ] }, "aggregations": [ { "name": "total_count", "data_type": "integer" }, { "name": "datetime_max", "data_type": "datetime" }, { "name": "datetime_min", "data_type": "datetime" }, { "name": "datetime_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "datetime" }, { "name": "sun_elevation_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "numeric" }, { "name": "sun_azimuth_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "numeric" }, { "name": "geometry_geohash_grid_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "numeric" }, { "name": "grid_code_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "string" }, { "name": "grid_geohex_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "string" }, { "name": "grid_geohash_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "string" }, { "name": "grid_geotile_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "string" }, { "name": "geometry_geotile_grid_frequency", "data_type": "frequency_distribution", "frequency_distribution_data_type": "string" } ], "item_assets": { "thumbnail": { "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ] }, "overview": { "title": "True color image", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "overview" ], "gsd": 10, "eo:bands": [ { "name": "B04", "common_name": "red", "center_wavelength": 0.6645, "full_width_half_max": 0.038 }, { "name": "B03", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.045 }, { "name": "B02", "common_name": "blue", "center_wavelength": 0.4966, "full_width_half_max": 0.098 } ] }, "info": { "title": "Original JSON metadata", "type": "application/json", "roles": [ "metadata" ] }, "metadata": { "title": "Original XML metadata", "type": "application/xml", "roles": [ "metadata" ] }, "visual": { "title": "True color image", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "overview" ], "gsd": 10, "eo:bands": [ { "name": "B04", "common_name": "red", "center_wavelength": 0.6645, "full_width_half_max": 0.038 }, { "name": "B03", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.045 }, { "name": "B02", "common_name": "blue", "center_wavelength": 0.4966, "full_width_half_max": 0.098 } ] }, "B01": { "title": "Band 1 (coastal)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 60, "eo:bands": [ { "name": "B01", "common_name": "coastal", "center_wavelength": 0.4439, "full_width_half_max": 0.027 } ] }, "B02": { "title": "Band 2 (blue)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 10, "eo:bands": [ { "name": "B02", "common_name": "blue", "center_wavelength": 0.4966, "full_width_half_max": 0.098 } ] }, "B03": { "title": "Band 3 (green)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 10, "eo:bands": [ { "name": "B03", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.045 } ] }, "B04": { "title": "Band 4 (red)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 10, "eo:bands": [ { "name": "B04", "common_name": "red", "center_wavelength": 0.6645, "full_width_half_max": 0.038 } ] }, "B05": { "title": "Band 5", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 20, "eo:bands": [ { "name": "B05", "center_wavelength": 0.7039, "full_width_half_max": 0.019 } ] }, "B06": { "title": "Band 6", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 20, "eo:bands": [ { "name": "B06", "center_wavelength": 0.7402, "full_width_half_max": 0.018 } ] }, "B07": { "title": "Band 7", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 20, "eo:bands": [ { "name": "B07", "center_wavelength": 0.7825, "full_width_half_max": 0.028 } ] }, "B08": { "title": "Band 8 (nir)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 10, "eo:bands": [ { "name": "B08", "common_name": "nir", "center_wavelength": 0.8351, "full_width_half_max": 0.145 } ] }, "B8A": { "title": "Band 8A", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 20, "eo:bands": [ { "name": "B8A", "center_wavelength": 0.8648, "full_width_half_max": 0.033 } ] }, "B09": { "title": "Band 9", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 60, "eo:bands": [ { "name": "B09", "center_wavelength": 0.945, "full_width_half_max": 0.026 } ] }, "B11": { "title": "Band 11 (swir16)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 20, "eo:bands": [ { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137, "full_width_half_max": 0.143 } ] }, "B12": { "title": "Band 12 (swir22)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ], "gsd": 20, "eo:bands": [ { "name": "B12", "common_name": "swir22", "center_wavelength": 2.22024, "full_width_half_max": 0.242 } ] }, "AOT": { "title": "Aerosol Optical Thickness (AOT)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ] }, "WVP": { "title": "Water Vapour (WVP)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ] }, "SCL": { "title": "Scene Classification Map (SCL)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "data" ] } }, "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2015-06-27T10:25:31.456000Z", null ] ] } }, "license": "proprietary" }stac-validator-4.2.2/sample_data/sentinel-cogs-test.json000066400000000000000000000604171517436701200233460ustar00rootroot00000000000000{ "type": "Feature", "stac_version": "1.0.0", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json" ], "id": "S2B_1CDH_20191211_0_L2A", "bbox": [ -179.35578912762625, -82.85224807277136, -177.3630203756871, -82.84640771847916 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -177.3630203756871, -82.85224807277136 ], [ -179.35578912762625, -82.84737433219105 ], [ -179.35547231670952, -82.84640771847916 ], [ -177.3630203756871, -82.85224807277136 ] ] ] }, "properties": { "datetime": "2019-12-11T16:18:25Z", "platform": "sentinel-2b", "constellation": "sentinel-2", "instruments": [ "msi" ], "gsd": 10, "view:off_nadir": 0, "proj:epsg": 32701, "sentinel:utm_zone": 1, "sentinel:latitude_band": "C", "sentinel:grid_square": "DH", "sentinel:sequence": "0", "sentinel:product_id": "S2B_MSIL2A_20191211T161339_N0213_R111_T01CDH_20191211T195221", "sentinel:data_coverage": 0.0, "eo:cloud_cover": 0.0, "eo:bands": [], "sentinel:valid_cloud_cover": true, "proj:centroid": { "lat": -82.84867670781385, "lon": -178.69142727334093 }, "grid:code": "" }, "collection": "sentinel-s2-l2a-cogs", "assets": { "thumbnail": { "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ], "href": "https://roda.sentinel-hub.com/sentinel-s2-l1c/tiles/1/C/DH/2019/12/11/0/preview.jpg" }, "overview": { "title": "True color image", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "roles": [ "overview" ], "gsd": 10, "eo:bands": [ { "name": "B04", "common_name": "red", "center_wavelength": 0.6645, "full_width_half_max": 0.038 }, { "name": "B03", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.045 }, { "name": "B02", "common_name": "blue", "center_wavelength": 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"https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/1/C/DH/2019/12/S2B_1CDH_20191230_0_L2A/AOT.tif", "proj:shape": [ 1830, 1830 ], "proj:transform": [ 60.0, 0.0, 399960.0, 0.0, -60.0, 800020.0, 0.0, 0.0, 1.0 ] }, "WVP": { "title": "Water Vapour (WVP)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "href": "https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/1/C/DH/2019/12/S2B_1CDH_20191230_0_L2A/WVP.tif", "proj:shape": [ 10980, 10980 ], "proj:transform": [ 10.0, 0.0, 399960.0, 0.0, -10.0, 800020.0, 0.0, 0.0, 1.0 ] }, "SCL": { "title": "Scene Classification Map (SCL)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "href": "https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/1/C/DH/2019/12/S2B_1CDH_20191230_0_L2A/SCL.tif", "proj:shape": [ 5490, 5490 ], "proj:transform": [ 20.0, 0.0, 399960.0, 0.0, -20.0, 800020.0, 0.0, 0.0, 1.0 ] } }, "links": [ { "rel": "self", "href": "https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/1/C/DH/2019/12/S2B_1CDH_20191230_0_L2A/S2B_1CDH_20191230_0_L2A.json", "type": "application/json" }, { "rel": "canonical", "href": "https://sentinel-cogs.s3.us-west-2.amazonaws.com/sentinel-s2-l2a-cogs/1/C/DH/2019/12/S2B_1CDH_20191230_0_L2A/S2B_1CDH_20191230_0_L2A.json", "type": "application/json" }, { "rel": "parent", "href": "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a" }, { "rel": "collection", "href": "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a" }, { "rel": "root", "href": "https://earth-search.aws.element84.com/v0/" }, { "title": "Source STAC Item", "rel": "derived_from", "href": "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a/items/S2B_1CDH_20191230_0_L2A", "type": "application/json" } ] } ] }stac-validator-4.2.2/schema_config.yaml000066400000000000000000000016531517436701200201200ustar00rootroot00000000000000schemas: # v1.0.0 "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json": "local_schemas/v1.0.0/collection.json" "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json": "local_schemas/v1.0.0/item.json" "https://schemas.stacspec.org/v1.0.0/catalog-spec/json-schema/catalog.json": "local_schemas/v1.0.0/catalog.json" "https://stac-extensions.github.io/eo/v1.0.0/schema.json": "local_schemas/v1.0.0/extensions/eo.json" "https://stac-extensions.github.io/projection/v1.0.0/schema.json": "local_schemas/v1.0.0/extensions/projection.json" # v1.1.0 "https://schemas.stacspec.org/v1.1.0/collection-spec/json-schema/collection.json": "local_schemas/v1.1.0/collection.json" "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json": "local_schemas/v1.1.0/item.json" "https://schemas.stacspec.org/v1.1.0/catalog-spec/json-schema/catalog.json": "local_schemas/v1.1.0/catalog.json"stac-validator-4.2.2/stac_validator/000077500000000000000000000000001517436701200174415ustar00rootroot00000000000000stac-validator-4.2.2/stac_validator/__init__.py000066400000000000000000000000001517436701200215400ustar00rootroot00000000000000stac-validator-4.2.2/stac_validator/batch_validator.py000066400000000000000000000453711517436701200231530ustar00rootroot00000000000000"""Concurrent batch validation of STAC files using multiprocessing.""" import concurrent.futures import json import logging import multiprocessing from itertools import islice from typing import Any, Dict, Iterable, List, Optional, Tuple from .utilities import _build_cached_validator from .validate import StacValidate logger = logging.getLogger(__name__) def _warm_schema_cache(stac_version: str = "1.0.0") -> None: """ Pre-warm the schema cache before forking worker processes. This function loads and compiles core STAC schemas in the main process. When ProcessPoolExecutor forks child processes, they inherit the parent's memory via Copy-on-Write (CoW), so all workers get a fully-warmed cache without making any network requests. Args: stac_version: STAC version to use for schema selection (e.g., "1.0.0" or "1.1.0") Core schemas warmed: - STAC Item - STAC Collection - STAC Catalog """ try: import os # Use local schema files bundled with the package # Support both v1.0.0 and v1.1.0 schema_dir = os.path.join( os.path.dirname(__file__), "local_schemas", stac_version ) core_schemas = [ os.path.join(schema_dir, "item.json"), os.path.join(schema_dir, "collection.json"), os.path.join(schema_dir, "catalog.json"), ] from .utilities import fetch_and_parse_schema # Load and cache each schema for schema_path in core_schemas: try: schema = fetch_and_parse_schema(schema_path) # Convert to JSON string and cache via _build_cached_validator schema_json = json.dumps(schema, sort_keys=True, separators=(",", ":")) _build_cached_validator(schema_json) except Exception: # If a schema fails to load, continue with others pass except Exception: # If cache warming fails entirely, continue without it pass def get_optimal_worker_count(max_workers: Optional[int] = None) -> int: """ Get the optimal number of worker processes. Detects available CPU cores, accounting for containerized environments. Falls back to os.sched_getaffinity() on Linux for Docker/container support. Args: max_workers: Maximum number of workers to use. Options: - None or 0: Use all available cores (default) - Positive int: Use that many cores (capped at available) - Negative int: Use all cores minus that many (e.g., -1 reserves 1 core for OS) Returns: Optimal number of worker processes Note: In containerized environments (Docker, ECS), this uses os.sched_getaffinity() on Linux to detect the actual cores allocated to the container, rather than the host machine's total cores. """ import os as os_module # Try to get container-aware core count on Linux try: if hasattr(os_module, "sched_getaffinity"): # Linux: respects Docker/container CPU limits total_cores = len(os_module.sched_getaffinity(0)) else: # Fallback for non-Linux systems total_cores = multiprocessing.cpu_count() except Exception: # Fallback if anything goes wrong total_cores = multiprocessing.cpu_count() if max_workers is None or max_workers == 0: # Use all available cores return total_cores elif max_workers < 0: # Use all cores minus the specified amount (useful for reserving cores for OS) return max(1, total_cores + max_workers) else: # Use the specified number, but cap at available cores return min(max_workers, total_cores) def _validate_single_file(file_path: str) -> Tuple[str, bool, List[str]]: """ Worker function that runs on an individual CPU core. Validates a single STAC file and returns results. Each worker process has its own isolated schema cache for optimal performance. Args: file_path: Path to the STAC JSON file to validate. Returns: Tuple of (file_path, is_valid, list_of_errors) """ errors = [] try: # Use StacValidate for comprehensive validation (includes version check, core, and extensions) # Each worker process has its own isolated schema cache (no need to reconfigure) validator = StacValidate(file_path) validator.run() # Collect errors from validation # validator.message is a list of result objects if validator.message: try: messages = validator.message if isinstance(messages, list) and len(messages) > 0: msg_obj = messages[0] if not msg_obj.get("valid_stac", False): # Try multiple error field names if "errors" in msg_obj: errors.extend(msg_obj["errors"]) elif "error_message" in msg_obj: errors.append(msg_obj["error_message"]) else: errors.append( f"{msg_obj.get('error_type', 'ValidationError')}" ) except (KeyError, IndexError, TypeError): # If we can't parse, just use the raw message if validator.message: errors.append(str(validator.message)) except Exception as e: # Catch any exception including StacValidate instantiation failures # This prevents UnboundLocalError if validator creation fails return file_path, False, [f"Critical error processing file: {str(e)}"] is_valid = len(errors) == 0 return file_path, is_valid, errors def _validate_dict( item_dict: Dict[str, Any], source_path: str ) -> Tuple[str, bool, Dict[str, Any], str]: """ Worker function that validates a STAC item dictionary directly (no temp files). This function receives pickled dictionaries from the main process, avoiding expensive disk I/O. Each worker process has its own isolated schema cache. Args: item_dict: Dictionary representation of a STAC item to validate. source_path: Display path for result reporting (e.g., "file.json[0]"). Returns: Tuple of (source_path, is_valid, message_dict, item_id) where message_dict is the complete validation result from StacValidate """ item_id = item_dict.get("id", "unknown") message = {} try: # Validate the dictionary directly without writing to disk # StacValidate can accept a dict via validate_dict() method validator = StacValidate() validator.stac_content = item_dict # Set STAC version from item validator.version = item_dict.get("stac_version", "1.0.0") # Run validation on the dictionary validator.validate_dict(item_dict) # Get the validation result message if validator.message: messages = validator.message if isinstance(messages, list) and len(messages) > 0: message = messages[0] else: message = messages if isinstance(messages, dict) else {} # Set path to the display path (not a real file) message["path"] = source_path except Exception as e: # Catch any exception during validation message = { "path": source_path, "valid_stac": False, "error_type": "Exception", "error_message": f"Critical error processing item: {str(e)}", "failed_schema": "", } is_valid = message.get("valid_stac", False) return source_path, is_valid, message, item_id def validate_concurrently( file_paths: List[str], max_workers: Optional[int] = None, show_progress: bool = True, feature_collection: bool = False, batch_size: int = 2000, ) -> List[Dict[str, Any]]: """ Validates a list of STAC files concurrently using available CPU cores. Uses ProcessPoolExecutor to bypass Python's GIL by creating separate Python processes for each worker. Pre-warms the schema cache in the main process before forking, so all workers inherit a fully-populated cache via Copy-on-Write. Args: file_paths: List of paths to STAC JSON files or FeatureCollections. max_workers: Number of CPU cores to use. Options: - None or 0: Use all available cores (default) - Positive int: Use that many cores (capped at available) - Negative int: Use all cores minus that many (e.g., -1 = all cores - 1) show_progress: Whether to display a progress bar (requires tqdm). feature_collection: If True, treat files as FeatureCollections and validate each feature. batch_size: Number of items to process at a time to bound memory usage (default: 2000). Returns: List of result dictionaries with keys: path, valid_stac, errors """ # If feature_collection mode, extract features and delegate to validate_dicts # for memory-safe chunked processing if feature_collection: error_results: List[Dict[str, Any]] = [] def item_iter() -> Iterable[Dict[str, Any]]: """ Lazily iterate over all items (features or standalone objects) from the provided file_paths, annotating each with source metadata. Any file-level read/parse errors are recorded in error_results and skipped. """ for file_path in file_paths: try: with open(file_path, "r") as f: data = json.load(f) # Check if it's a FeatureCollection if ( isinstance(data, dict) and data.get("type") == "FeatureCollection" ): features = data.get("features", []) for idx, feature in enumerate(features): # Attach source info for result display feature["__source_file__"] = file_path feature["__feature_index__"] = idx yield feature else: # Regular file, treat as single item data["__source_file__"] = file_path data["__feature_index__"] = None yield data except Exception as e: # Accumulate error for this file and continue processing others error_results.append( { "path": file_path, "valid_stac": False, "errors": [f"Failed to read file: {str(e)}"], } ) # Delegate to validate_dicts for chunked, memory-safe processing # validate_dicts will detect STAC version from first item and warm cache validation_results = validate_dicts( item_iter(), max_workers=max_workers, show_progress=show_progress, chunk_size=batch_size, ) # Combine error results with validation results return error_results + validation_results # Standard file path validation (no FeatureCollection expansion) results: List[Dict[str, Any]] = [] try: from tqdm import tqdm has_tqdm = True except ImportError: has_tqdm = False show_progress = False optimal_workers = get_optimal_worker_count(max_workers) if not file_paths: return results try: with concurrent.futures.ProcessPoolExecutor( max_workers=optimal_workers ) as executor: # Submit all tasks to the pool future_to_file = { executor.submit(_validate_single_file, path): path for path in file_paths } # Wrap the as_completed iterator with tqdm for a nice progress bar iterator = concurrent.futures.as_completed(future_to_file) if show_progress and has_tqdm: iterator = tqdm( # type: ignore iterator, total=len(file_paths), desc="Validating STAC Items", ) # Collect results as they finish for future in iterator: file_path, is_valid, errors = future.result() result = { "path": file_path, "valid_stac": is_valid, } if errors: result["errors"] = errors results.append(result) finally: pass return results def _chunked_iterable(iterable: Iterable, size: int): """Yield successive n-sized chunks from an iterable.""" it = iter(iterable) while True: chunk = list(islice(it, size)) if not chunk: break yield chunk def validate_dicts( items: Iterable[Dict[str, Any]], max_workers: Optional[int] = None, show_progress: bool = False, chunk_size: int = 2000, ) -> List[Dict[str, Any]]: """ Validate an iterable of STAC item dictionaries concurrently. Passes dictionaries directly to worker processes via pickle (memory-based), avoiding expensive disk I/O. Pre-warms the schema cache in the main process before forking, so all workers inherit a fully-populated cache via Copy-on-Write. Processes items in bounded chunks to prevent out-of-memory errors. Args: items: Iterable of STAC item dictionaries to validate max_workers: Maximum number of worker processes. Options: - None or 0: Use all available cores (default) - Positive int: Use that many cores (capped at available) - Negative int: Use all cores minus that many show_progress: Whether to show progress bar (default: False). Set to True for CLI usage. chunk_size: Number of items to process at a time to bound memory usage. Returns: List of validation results with path, valid_stac, and errors (if any) """ all_results = [] try: from tqdm import tqdm has_tqdm = True except ImportError: has_tqdm = False show_progress = False optimal_workers = get_optimal_worker_count(max_workers) # Detect STAC version from first item and warm cache accordingly stac_version = "1.0.0" # default items_list = list(items) if items_list: first_item = items_list[0] stac_version = first_item.get("stac_version", "1.0.0") # Pre-warm the schema cache in the main process before forking workers # This leverages Copy-on-Write so all workers inherit the warmed cache _warm_schema_cache(stac_version=stac_version) # Create a single executor for the entire run to reuse workers across chunks # This preserves the schema cache across chunks and eliminates fork/spawn overhead try: with concurrent.futures.ProcessPoolExecutor( max_workers=optimal_workers ) as executor: total_items = len(items_list) progress_bar = None # Initialize progress bar if available if show_progress and has_tqdm: progress_bar = tqdm( # type: ignore total=total_items, desc="Validating Items", unit="item", ) # Process items in chunks: submit a chunk, collect results, then submit next # This bounds in-flight futures and memory usage while reusing workers for chunk in _chunked_iterable(items_list, chunk_size): if not chunk: continue # Submit all items in this chunk future_to_item = {} for idx, item in enumerate(chunk): # Extract source metadata if present source_file = item.get("__source_file__") feature_index = item.get("__feature_index__") # Create display path for results if source_file is not None: display_path = ( f"{source_file}[{feature_index}]" if feature_index is not None else source_file ) else: display_path = f"item-{idx}" # Create payload without internal metadata keys payload = { k: v for k, v in item.items() if k not in ("__source_file__", "__feature_index__") } # Submit to worker - dictionary is pickled automatically future = executor.submit(_validate_dict, payload, display_path) future_to_item[future] = (display_path, idx) # Collect results for this chunk as they finish for future in concurrent.futures.as_completed(future_to_item): display_path, idx = future_to_item[future] source_path, is_valid, message, item_id = future.result() # Use the complete message from validation result = message.copy() if message else {} # Ensure required fields are present if "path" not in result: result["path"] = source_path if "valid_stac" not in result: result["valid_stac"] = is_valid # Add item_id for reference result["item_id"] = item_id all_results.append(result) # Update progress bar if progress_bar: progress_bar.update(1) # Close progress bar if progress_bar: progress_bar.close() except Exception as e: # If processing fails, record error for all items for idx, item in enumerate(items_list): source_file = item.get("__source_file__") feature_index = item.get("__feature_index__") if source_file is not None: display_path = ( f"{source_file}[{feature_index}]" if feature_index is not None else source_file ) else: display_path = f"item-{idx}" all_results.append( { "path": display_path, "valid_stac": False, "errors": [f"Chunk processing error: {str(e)}"], } ) return all_results stac-validator-4.2.2/stac_validator/fast_validator.py000066400000000000000000000332451517436701200230240ustar00rootroot00000000000000import json import os import time import urllib.error import urllib.request from typing import Any, Dict, List import click import fastjsonschema # type: ignore # --- Caches & Config --- SCHEMA_CACHE: Dict[str, Any] = {} VALIDATOR_CACHE: Dict[Any, Any] = {} QUIET_MODE: bool = False # Store cached schemas inside the repository under local_schemas/.schemas (project-root relative) LOCAL_SCHEMA_DIR = os.path.join( os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "local_schemas", ".schemas", ) def get_local_path_for_uri(uri: str) -> str: """Creates a safe local filepath for a cached schema URL.""" safe_filename = uri.replace("https://", "").replace("http://", "").replace("/", "_") return os.path.join(LOCAL_SCHEMA_DIR, safe_filename) def fetch_schema(uri: str) -> Dict[str, Any]: """The Ultimate Handler: RAM -> Disk -> Network -> Disk -> RAM""" # 1. RAM Cache if uri in SCHEMA_CACHE: return SCHEMA_CACHE[uri] local_path = get_local_path_for_uri(uri) # 2. Disk Cache if os.path.exists(local_path): try: with open(local_path, "r") as f: schema_dict = json.load(f) SCHEMA_CACHE[uri] = schema_dict return schema_dict except Exception: pass # If corrupted, fallback to network # 3. Network Fetch if not QUIET_MODE: click.secho(f" [Network] Fetching: {uri}", fg="yellow", dim=True) req = urllib.request.Request(uri, headers={"User-Agent": "stac-fast-cli/5.0"}) try: with urllib.request.urlopen(req) as response: schema_dict = json.loads(response.read().decode("utf-8")) except urllib.error.URLError as e: raise RuntimeError(f"Could not resolve schema: {uri}. Reason: {e}") # 4. Save to Disk Cache os.makedirs(os.path.dirname(local_path), exist_ok=True) try: with open(local_path, "w") as f: json.dump(schema_dict, f) except IOError: pass # If we can't write to disk, no big deal, keep going # 5. Save to RAM Cache SCHEMA_CACHE[uri] = schema_dict return schema_dict def get_validator(stac_type: str, stac_version: str, extensions: List[str]): """Builds and caches a validator based on Object Type, Version, and Extensions.""" ext_key = tuple(sorted(extensions)) cache_key = (stac_type, stac_version, ext_key) if cache_key in VALIDATOR_CACHE: return VALIDATOR_CACHE[cache_key], True # Determine base schema URI stac_type_lower = stac_type.lower() if stac_type_lower in ["item", "feature"]: base_uri = f"https://schemas.stacspec.org/v{stac_version}/item-spec/json-schema/item.json" elif stac_type_lower == "collection": base_uri = f"https://schemas.stacspec.org/v{stac_version}/collection-spec/json-schema/collection.json" elif stac_type_lower == "catalog": base_uri = f"https://schemas.stacspec.org/v{stac_version}/catalog-spec/json-schema/catalog.json" else: raise ValueError(f"Unknown STAC type for validation: {stac_type}") schema_fragments: List[Dict[str, str]] = [{"$ref": base_uri}] for ext in extensions: schema_fragments.append({"$ref": ext}) dynamic_schema = { "$schema": "http://json-schema.org/draft-07/schema#", "allOf": schema_fragments, } try: validator = fastjsonschema.compile( dynamic_schema, handlers={"http": fetch_schema, "https": fetch_schema} ) except Exception: # FALLBACK: Some schemas (like Item Assets) cause fastjsonschema to generate invalid python code. # We fall back to the standard jsonschema library. click.secho( " [Fallback] fastjsonschema compile failed. Using python-jsonschema.", fg="yellow", dim=True, ) import jsonschema # Create a validator using the same custom logic def fallback_validator(data): # We need a resolver to handle the remote $refs resolver = jsonschema.RefResolver( base_uri="", referrer=dynamic_schema, handlers={"http": fetch_schema, "https": fetch_schema}, ) jsonschema.validate(data, dynamic_schema, resolver=resolver) validator = fallback_validator VALIDATOR_CACHE[cache_key] = validator return validator, False class FastValidator: def __init__(self, stac_file: str, quiet: bool = False, verbose: bool = False): global QUIET_MODE self.stac_file = stac_file self.quiet = quiet self.valid = True self.verbose = verbose self.message: List[Dict[str, Any]] = [] QUIET_MODE = quiet def run(self): """Universal high-speed STAC Validator (Items, Collections, Catalogs, FeatureCollections)""" if not self.quiet: click.secho(f"\n📂 Loading: {self.stac_file}", fg="blue", bold=True) try: if self.stac_file.startswith("http"): req = urllib.request.Request( self.stac_file, headers={"User-Agent": "stac-fast-cli/5.0"} ) with urllib.request.urlopen(req) as response: data = json.loads(response.read().decode("utf-8")) else: with open(self.stac_file, "r") as f: data = json.load(f) except Exception as e: click.secho(f"❌ Error reading {self.stac_file}: {e}", fg="red", bold=True) self.valid = False return # Detect payload structure obj_type = data.get("type", "") items_to_validate = [] if obj_type == "FeatureCollection": items_to_validate = data.get("features", []) if not self.quiet: click.secho( f"📦 Detected FeatureCollection ({len(items_to_validate)} Items)\n", fg="cyan", ) elif obj_type == "Feature": items_to_validate = [data] if not self.quiet: click.secho("📄 Detected: STAC Item\n", fg="cyan") elif obj_type == "Collection": items_to_validate = [data] if not self.quiet: click.secho("📚 Detected: STAC Collection\n", fg="cyan") elif obj_type == "Catalog" or ("id" in data and "description" in data): # Fallback for old catalogs missing the 'type' field data["type"] = "Catalog" items_to_validate = [data] if not self.quiet: click.secho("🗂️ Detected: STAC Catalog\n", fg="cyan") else: if "type" in data: click.secho( f"❌ Unknown JSON type. Unsupported 'type' value: {obj_type!r}.", fg="red", bold=True, ) else: click.secho( "❌ Unknown JSON type. Missing 'type' field.", fg="red", bold=True ) self.valid = False return # --- Metrics --- total_setup_ms = 0.0 total_exec_ms = 0.0 valid_count = 0 invalid_count = 0 error_registry: Dict[str, List[str]] = {} stac_versions_found: set = set() schemas_checked: set = set() for index, item in enumerate(items_to_validate): # Determine specific STAC attributes for this object item_id = item.get("id", f"unknown-{index}") stac_version = item.get("stac_version", "1.0.0") extensions = item.get("stac_extensions", []) # Track versions and schemas stac_versions_found.add(stac_version) # Map Feature->Item, others keep their type actual_type = ( "Item" if item.get("type") == "Feature" else item.get("type", "Catalog") ) # Build schema URI for this object type stac_type_lower = actual_type.lower() if stac_type_lower in ["item", "feature"]: base_schema = f"https://schemas.stacspec.org/v{stac_version}/item-spec/json-schema/item.json" elif stac_type_lower == "collection": base_schema = f"https://schemas.stacspec.org/v{stac_version}/collection-spec/json-schema/collection.json" elif stac_type_lower == "catalog": base_schema = f"https://schemas.stacspec.org/v{stac_version}/catalog-spec/json-schema/catalog.json" else: base_schema = "" if base_schema: schemas_checked.add(base_schema) # Track extensions for ext in extensions: schemas_checked.add(ext) # --- Setup Timer --- t0 = time.perf_counter() try: validator, is_cached = get_validator( actual_type, stac_version, extensions ) except Exception as e: if not self.quiet: click.secho(f"❌ Setup failed for {item_id}: {e}", fg="red") invalid_count += 1 self.valid = False continue t1 = time.perf_counter() setup_time = (t1 - t0) * 1000 total_setup_ms += setup_time # --- Execution Timer --- t2 = time.perf_counter() try: validator(item) t3 = time.perf_counter() exec_time = (t3 - t2) * 1000 total_exec_ms += exec_time valid_count += 1 status_text = click.style("✅ VALID", fg="green") except fastjsonschema.JsonSchemaValueException as e: t3 = time.perf_counter() exec_time = (t3 - t2) * 1000 total_exec_ms += exec_time invalid_count += 1 self.valid = False # --- The STAC Error Translator --- error_msg = f"{e.name} {e.message.replace(e.name, '').strip()}" if "disallowed definition" in error_msg: if "collection" in error_msg: error_msg = "STAC Spec Violation: Missing {'rel': 'collection'} in links array." else: error_msg = ( f"{e.name} violated a 'not' rule. Value: {repr(e.value)}" ) # Group errors if error_msg not in error_registry: error_registry[error_msg] = [] error_registry[error_msg].append(item_id) status_text = click.style("❌ INVALID", fg="red") if not self.quiet: if self.verbose or index < 5 or (len(items_to_validate) < 20): cache_icon = "⚡" if is_cached else "🐌" click.echo( f"[{index + 1}] ID: {item_id} | Type: {actual_type} | Cache {cache_icon} | Setup: {setup_time:>6.2f}ms | Exec: {exec_time:>5.2f}ms | {status_text}" ) elif index == 5: click.secho( "... silencing output for remaining items (validating at maximum speed) ...", dim=True, ) # --- Summary Report --- click.echo("\n" + "=" * 55) click.secho("📊 VALIDATION SUMMARY", bold=True) click.echo("=" * 55) click.echo(f"Total Objects Processed : {len(items_to_validate)}") click.echo( f"Valid Objects : {click.style(str(valid_count), fg='green')}" ) invalid_color = "red" if invalid_count > 0 else "green" click.echo( f"Invalid Objects : {click.style(str(invalid_count), fg=invalid_color)}" ) click.echo("-" * 55) click.echo(f"Total Setup Time : {total_setup_ms:.2f} ms") click.echo(f"Total Execution Time : {total_exec_ms:.2f} ms") if len(items_to_validate) > 0: click.echo( f"Average Exec per Object : {(total_exec_ms / len(items_to_validate)):.3f} ms" ) if invalid_count > 0: click.echo("=" * 55) click.secho("🚨 ERROR BREAKDOWN", bold=True, fg="red") click.echo("=" * 55) for err_msg, affected_ids in error_registry.items(): count = len(affected_ids) click.echo(f"\n❌ {click.style(err_msg, fg='yellow', bold=True)}") click.echo( f" Affected Items: {click.style(str(count), fg='red', bold=True)}" ) sample_ids = ", ".join(affected_ids[:3]) if count > 3: sample_ids += f" ... (and {count - 3} more)" click.echo(f" Examples: {sample_ids}") # Populate the message attribute for API usage (similar to StacValidate) self.message = [ { "path": self.stac_file, "valid_stac": self.valid, "stac_versions": sorted(list(stac_versions_found)), "schemas_checked": sorted(list(schemas_checked)), "total_objects": len(items_to_validate), "valid_objects": valid_count, "invalid_objects": invalid_count, "setup_time_ms": total_setup_ms, "execution_time_ms": total_exec_ms, "errors": [ { "error_message": err_msg, "affected_items": affected_ids, "count": len(affected_ids), } for err_msg, affected_ids in error_registry.items() ], } ] click.echo("\n") stac-validator-4.2.2/stac_validator/local_schemas/000077500000000000000000000000001517436701200222365ustar00rootroot00000000000000stac-validator-4.2.2/stac_validator/local_schemas/extensions/000077500000000000000000000000001517436701200244355ustar00rootroot00000000000000stac-validator-4.2.2/stac_validator/local_schemas/extensions/eo-v1.0.0.json000066400000000000000000000106671517436701200265650ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://stac-extensions.github.io/eo/v1.0.0/schema.json#", "title": "EO Extension", "description": "STAC EO Extension for STAC Items.", "oneOf": [ { "$comment": "This is the schema for STAC Items.", "allOf": [ { "type": "object", "required": [ "type", "properties", "assets" ], "properties": { "type": { "const": "Feature" }, "properties": { "$ref": "#/definitions/fields" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } }, "$comment": "The if-then-else below checks whether the eo:bands is given in assets or not. If yes, allows eo:bands in properties (else), otherwise, disallows eo:bands in properties (then).", "if": { "required": [ "assets" ], "properties": { "assets": { "type": "object", "additionalProperties": { "properties": { "eo:bands": false } } } } }, "then": { "properties": { "properties": { "properties": { "eo:bands": false } } } }, "else": { "properties": { "properties": { "properties": { "eo:bands": { "$ref": "#/definitions/bands" } } } } } }, { "$ref": "#/definitions/stac_extensions" } ] }, { "$comment": "This is the schema for STAC Collections.", "allOf": [ { "type": "object", "required": [ "type" ], "properties": { "type": { "const": "Collection" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "const": "https://stac-extensions.github.io/eo/v1.0.0/schema.json" } } } }, "fields": { "type": "object", "properties": { "eo:cloud_cover": { "title": "Cloud Cover", "type": "number", "minimum": 0, "maximum": 100 }, "eo:bands": { "$ref": "#/definitions/bands" } }, "patternProperties": { "^(?!eo:)": {} }, "additionalProperties": false }, "bands": { "title": "Bands", "type": "array", "minItems": 1, "items": { "title": "Band", "type": "object", "minProperties": 1, "properties": { "name": { "title": "Name of the band", "type": "string" }, "common_name": { "title": "Common Name of the band", "type": "string", "enum": [ "coastal", "blue", "green", "red", "rededge", "yellow", "pan", "nir", "nir08", "nir09", "cirrus", "swir16", "swir22", "lwir", "lwir11", "lwir12" ] }, "center_wavelength": { "title": "Center Wavelength", "type": "number" }, "full_width_half_max": { "title": "Full Width Half Max (FWHM)", "type": "number" } } } } } }stac-validator-4.2.2/stac_validator/local_schemas/extensions/projection-v1.0.0.json000066400000000000000000000110461517436701200303260ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "title": "Projection Extension", "description": "STAC Projection Extension for STAC Items.", "oneOf": [ { "$comment": "This is the schema for STAC Items.", "allOf": [ { "type": "object", "required": [ "type", "properties", "assets" ], "properties": { "type": { "const": "Feature" }, "properties": { "allOf": [ { "$comment": "Require fields here for item properties.", "required": [ "proj:epsg" ] }, { "$ref": "#/definitions/fields" } ] }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] }, { "$comment": "This is the schema for STAC Collections.", "allOf": [ { "type": "object", "required": [ "type" ], "properties": { "type": { "const": "Collection" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "const": "https://stac-extensions.github.io/projection/v1.0.0/schema.json" } } } }, "fields": { "$comment": "Add your new fields here. Don't require them here, do that above in the item schema.", "type": "object", "properties": { "proj:epsg":{ "title":"EPSG code", "type":[ "integer", "null" ] }, "proj:wkt2":{ "title":"Coordinate Reference System in WKT2 format", "type":[ "string", "null" ] }, "proj:projjson": { "title":"Coordinate Reference System in PROJJSON format", "oneOf": [ { "$ref": "https://proj.org/schemas/v0.2/projjson.schema.json" }, { "type": "null" } ] }, "proj:geometry":{ "$ref": "https://geojson.org/schema/Geometry.json" }, "proj:bbox":{ "title":"Extent", "type":"array", "oneOf": [ { "minItems":4, "maxItems":4 }, { "minItems":6, "maxItems":6 } ], "items":{ "type":"number" } }, "proj:centroid":{ "title":"Centroid", "type":"object", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "minimum": -90, "maximum": 90 }, "lon": { "type": "number", "minimum": -180, "maximum": 180 } } }, "proj:shape":{ "title":"Shape", "type":"array", "minItems":2, "maxItems":2, "items":{ "type":"integer" } }, "proj:transform":{ "title":"Transform", "type":"array", "oneOf": [ { "minItems":6, "maxItems":6 }, { "minItems":9, "maxItems":9 } ], "items":{ "type":"number" } } }, "patternProperties": { "^(?!proj:)": {} }, "additionalProperties": false } } }stac-validator-4.2.2/stac_validator/local_schemas/extensions/view-v1.0.0.json000066400000000000000000000067771517436701200271430ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://stac-extensions.github.io/view/v1.0.0/schema.json#", "title": "View Geometry Extension", "description": "STAC View Geometry Extension for STAC Items and STAC Collections.", "oneOf": [ { "$comment": "This is the schema for STAC Items.", "allOf": [ { "type": "object", "required": [ "type", "properties", "assets" ], "properties": { "type": { "const": "Feature" }, "properties": { "allOf": [ { "anyOf": [ {"required": ["view:off_nadir"]}, {"required": ["view:incidence_angle"]}, {"required": ["view:azimuth"]}, {"required": ["view:sun_azimuth"]}, {"required": ["view:sun_elevation"]} ] }, { "$ref": "#/definitions/fields" } ] }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] }, { "$comment": "This is the schema for STAC Collections.", "allOf": [ { "type": "object", "required": [ "type" ], "properties": { "type": { "const": "Collection" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "contains": { "const": "https://stac-extensions.github.io/view/v1.0.0/schema.json" } } } } }, "fields": { "$comment": "Add your new fields here. Don't require them here, do that above in the item schema.", "type": "object", "properties": { "view:off_nadir": { "title": "Off Nadir", "type": "number", "minimum": 0, "maximum": 90 }, "view:incidence_angle": { "title": "Center incidence angle", "type": "number", "minimum": 0, "maximum": 90 }, "view:azimuth": { "title": "Azimuth angle", "type": "number", "minimum": 0, "maximum": 360 }, "view:sun_azimuth": { "title": "Sun Azimuth", "type": "number", "minimum": 0, "maximum": 360 }, "view:sun_elevation": { "title": "Sun Elevation", "type": "number", "minimum": -90, "maximum": 90 } }, "patternProperties": { "^(?!view:)": {} }, "additionalProperties": false } } }stac-validator-4.2.2/stac_validator/local_schemas/v1.0.0/000077500000000000000000000000001517436701200230605ustar00rootroot00000000000000stac-validator-4.2.2/stac_validator/local_schemas/v1.0.0/catalog.json000066400000000000000000000044621517436701200253730ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0/catalog-spec/json-schema/catalog.json#", "title": "STAC Catalog Specification", "description": "This object represents Catalogs in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/catalog" } ], "definitions": { "catalog": { "title": "STAC Catalog", "type": "object", "required": [ "stac_version", "type", "id", "description", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.0.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Catalog" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "title": { "title": "Title", "type": "string" }, "description": { "title": "Description", "type": "string", "minLength": 1 }, "links": { "title": "Links", "type": "array", "items": { "$ref": "#/definitions/link" } } } }, "link": { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" } } } } }stac-validator-4.2.2/stac_validator/local_schemas/v1.0.0/collection.json000066400000000000000000000171031517436701200261100ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json#", "title": "STAC Collection Specification", "description": "This object represents Collections in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/collection" } ], "definitions": { "collection": { "title": "STAC Collection", "description": "These are the fields specific to a STAC Collection. All other fields are inherited from STAC Catalog.", "type": "object", "required": [ "stac_version", "type", "id", "description", "license", "extent", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.0.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Collection" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "title": { "title": "Title", "type": "string" }, "description": { "title": "Description", "type": "string", "minLength": 1 }, "keywords": { "title": "Keywords", "type": "array", "items": { "type": "string" } }, "license": { "title": "Collection License Name", "type": "string", "pattern": "^[\\w\\-\\.\\+]+$" }, "providers": { "type": "array", "items": { "type": "object", "required": [ "name" ], "properties": { "name": { "title": "Organization name", "type": "string" }, "description": { "title": "Organization description", "type": "string" }, "roles": { "title": "Organization roles", "type": "array", "items": { "type": "string", "enum": [ "producer", "licensor", "processor", "host" ] } }, "url": { "title": "Organization homepage", "type": "string", "format": "iri" } } } }, "extent": { "title": "Extents", "type": "object", "required": [ "spatial", "temporal" ], "properties": { "spatial": { "title": "Spatial extent object", "type": "object", "required": [ "bbox" ], "properties": { "bbox": { "title": "Spatial extents", "type": "array", "minItems": 1, "items": { "title": "Spatial extent", "type": "array", "oneOf": [ { "minItems":4, "maxItems":4 }, { "minItems":6, "maxItems":6 } ], "items": { "type": "number" } } } } }, "temporal": { "title": "Temporal extent object", "type": "object", "required": [ "interval" ], "properties": { "interval": { "title": "Temporal extents", "type": "array", "minItems": 1, "items": { "title": "Temporal extent", "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "string", "null" ], "format": "date-time", "pattern": "(\\+00:00|Z)$" } } } } } } }, "assets": { "$ref": "../../item-spec/json-schema/item.json#/definitions/assets" }, "links": { "title": "Links", "type": "array", "items": { "$ref": "#/definitions/link" } }, "summaries": { "$ref": "#/definitions/summaries" } } }, "link": { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" } } }, "summaries": { "type": "object", "additionalProperties": { "anyOf": [ { "title": "JSON Schema", "type": "object", "minProperties": 1, "allOf": [ { "$ref": "http://json-schema.org/draft-07/schema" } ] }, { "title": "Range", "type": "object", "required": [ "minimum", "maximum" ], "properties": { "minimum": { "title": "Minimum value", "type": [ "number", "string" ] }, "maximum": { "title": "Maximum value", "type": [ "number", "string" ] } } }, { "title": "Set of values", "type": "array", "minItems": 1, "items": { "description": "For each field only the original data type of the property can occur (except for arrays), but we can't validate that in JSON Schema yet. See the sumamry description in the STAC specification for details." } } ] } } } }stac-validator-4.2.2/stac_validator/local_schemas/v1.0.0/item.json000066400000000000000000000161401517436701200247130ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json#", "title": "STAC Item", "type": "object", "description": "This object represents the metadata for an item in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/core" } ], "definitions": { "common_metadata": { "allOf": [ { "$ref": "basics.json" }, { "$ref": "datetime.json" }, { "$ref": "instrument.json" }, { "$ref": "licensing.json" }, { "$ref": "provider.json" } ] }, "core": { "allOf": [ { "$ref": "https://geojson.org/schema/Feature.json" }, { "oneOf": [ { "type": "object", "required": [ "geometry", "bbox" ], "properties": { "geometry": { "$ref": "https://geojson.org/schema/Geometry.json" }, "bbox": { "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } } } }, { "type": "object", "required": [ "geometry" ], "properties": { "geometry": { "type": "null" }, "bbox": { "not": {} } } } ] }, { "type": "object", "required": [ "stac_version", "id", "links", "assets", "properties" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.0.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "id": { "title": "Provider ID", "description": "Provider item ID", "type": "string", "minLength": 1 }, "links": { "title": "Item links", "description": "Links to item relations", "type": "array", "items": { "$ref": "#/definitions/link" } }, "assets": { "$ref": "#/definitions/assets" }, "properties": { "allOf": [ { "$ref": "#/definitions/common_metadata" }, { "anyOf": [ { "required": [ "datetime" ], "properties": { "datetime": { "not": { "type": "null" } } } }, { "required": [ "datetime", "start_datetime", "end_datetime" ] } ] } ] } }, "if": { "properties": { "links": { "contains": { "required": [ "rel" ], "properties": { "rel": { "const": "collection" } } } } } }, "then": { "required": [ "collection" ], "properties": { "collection": { "title": "Collection ID", "description": "The ID of the STAC Collection this Item references to.", "type": "string", "minLength": 1 } } }, "else": { "properties": { "collection": { "not": {} } } } } ] }, "link": { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" } } }, "assets": { "title": "Asset links", "description": "Links to assets", "type": "object", "additionalProperties": { "$ref": "#/definitions/asset" } }, "asset": { "allOf": [ { "type": "object", "required": [ "href" ], "properties": { "href": { "title": "Asset reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } }, { "$ref": "#/definitions/common_metadata" } ] } } }stac-validator-4.2.2/stac_validator/local_schemas/v1.1.0/000077500000000000000000000000001517436701200230615ustar00rootroot00000000000000stac-validator-4.2.2/stac_validator/local_schemas/v1.1.0/catalog.json000066400000000000000000000030601517436701200253650ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.1.0/catalog-spec/json-schema/catalog.json", "title": "STAC Catalog Specification", "description": "This object represents Catalogs in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/catalog" }, { "$ref": "../../item-spec/json-schema/common.json" } ], "definitions": { "catalog": { "title": "STAC Catalog", "type": "object", "$comment": "title and description is validated through the common metadata.", "required": [ "stac_version", "type", "id", "description", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.1.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Catalog" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "links": { "$ref": "../../item-spec/json-schema/item.json#/definitions/links" } } } } }stac-validator-4.2.2/stac_validator/local_schemas/v1.1.0/collection.json000066400000000000000000000155041517436701200261140ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.1.0/collection-spec/json-schema/collection.json", "title": "STAC Collection Specification", "description": "This object represents Collections in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/collection" }, { "$ref": "../../item-spec/json-schema/common.json" } ], "definitions": { "collection": { "title": "STAC Collection", "description": "These are the fields specific to a STAC Collection.", "type": "object", "$comment": "title, description, keywords, providers and license is validated through the common metadata.", "required": [ "stac_version", "type", "id", "description", "license", "extent", "links" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.1.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "type": { "title": "Type of STAC entity", "const": "Collection" }, "id": { "title": "Identifier", "type": "string", "minLength": 1 }, "extent": { "title": "Extents", "type": "object", "required": [ "spatial", "temporal" ], "properties": { "spatial": { "title": "Spatial extent object", "type": "object", "required": [ "bbox" ], "properties": { "bbox": { "title": "Spatial extents", "type": "array", "oneOf": [ { "minItems": 1, "maxItems": 1 }, { "minItems": 3 } ], "items": { "title": "Spatial extent", "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } } } } }, "temporal": { "title": "Temporal extent object", "type": "object", "required": [ "interval" ], "properties": { "interval": { "title": "Temporal extents", "type": "array", "minItems": 1, "items": { "title": "Temporal extent", "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "string", "null" ], "format": "date-time", "pattern": "(\\+00:00|Z)$" } } } } } } }, "assets": { "$ref": "../../item-spec/json-schema/item.json#/definitions/assets" }, "item_assets": { "additionalProperties": { "allOf": [ { "type": "object", "minProperties": 2, "properties": { "href": { "title": "Disallow href", "not": {} }, "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } }, { "$ref": "../../item-spec/json-schema/common.json" } ] } }, "links": { "$ref": "../../item-spec/json-schema/item.json#/definitions/links" }, "summaries": { "$ref": "#/definitions/summaries" } } }, "summaries": { "type": "object", "additionalProperties": { "anyOf": [ { "title": "JSON Schema", "type": "object", "minProperties": 1, "allOf": [ { "$ref": "http://json-schema.org/draft-07/schema" } ] }, { "title": "Range", "type": "object", "required": [ "minimum", "maximum" ], "properties": { "minimum": { "title": "Minimum value", "type": [ "number", "string" ] }, "maximum": { "title": "Maximum value", "type": [ "number", "string" ] } } }, { "title": "Set of values", "type": "array", "minItems": 1, "items": { "description": "For each field only the original data type of the property can occur (except for arrays), but we can't validate that in JSON Schema yet. See the sumamry description in the STAC specification for details." } } ] } } } }stac-validator-4.2.2/stac_validator/local_schemas/v1.1.0/item.json000066400000000000000000000233411517436701200247150ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json", "title": "STAC Item", "type": "object", "description": "This object represents the metadata for an item in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/core" } ], "definitions": { "core": { "allOf": [ { "$ref": "https://geojson.org/schema/Feature.json" }, { "oneOf": [ { "type": "object", "required": [ "geometry", "bbox" ], "properties": { "geometry": { "$ref": "https://geojson.org/schema/Geometry.json" }, "bbox": { "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } } } }, { "type": "object", "required": [ "geometry" ], "properties": { "geometry": { "type": "null" }, "bbox": { "not": {} } } } ] }, { "type": "object", "required": [ "stac_version", "id", "links", "assets", "properties" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.1.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "id": { "title": "Provider ID", "description": "Provider item ID", "type": "string", "minLength": 1 }, "links": { "$ref": "#/definitions/links" }, "assets": { "$ref": "#/definitions/assets" }, "properties": { "allOf": [ { "$ref": "common.json" }, { "anyOf": [ { "required": [ "datetime" ], "properties": { "datetime": { "not": { "type": "null" } } } }, { "required": [ "datetime", "start_datetime", "end_datetime" ] } ] } ] } }, "$comment": "Rules enforcement for STAC Item", "allOf": [ { "if": { "properties": { "links": { "contains": { "required": [ "rel" ], "properties": { "rel": { "const": "collection" } } } } } }, "then": { "required": [ "collection" ], "properties": { "collection": { "title": "Collection ID", "description": "The ID of the STAC Collection this Item references to.", "type": "string", "minLength": 1 } } }, "else": { "properties": { "collection": { "not": {} } } } }, { "$comment": "The if-then-else below checks whether the bands field is given in assets or not. If not, allows bands in properties (then), otherwise, disallows bands in properties (else).", "if": { "$comment": "If there is no asset with bands...", "required": [ "assets" ], "properties": { "assets": { "type": "object", "additionalProperties": { "properties": { "bands": false } } } } }, "then": { "$comment": "... then bands are not allowed in properties...", "properties": { "properties": { "properties": { "bands": false } } } }, "else": { "$comment": "... otherwise bands are allowed in properties.", "properties": { "properties": { "$ref": "bands.json" } } } } ] } ] }, "links": { "title": "Item links", "description": "Links to item relations", "type": "array", "items": { "$ref": "#/definitions/link" } }, "link": { "allOf": [ { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" }, "method": { "title": "Link method", "type": "string", "pattern": "^[A-Z]+$", "default": "GET" }, "headers": { "title": "Link headers", "type": "object", "additionalProperties": { "oneOf": [ { "type": "string" }, { "type": "array", "items": { "type": "string" } } ] } }, "body": { "title": "Link body", "$comment": "Any type is allowed." } }, "$comment": "Link with relationship `self` must be absolute URI", "if": { "properties": { "rel": { "const": "self" } } }, "then": { "properties": { "href": { "format": "iri" } } } }, { "$ref": "common.json" } ] }, "assets": { "title": "Asset links", "description": "Links to assets", "type": "object", "additionalProperties": { "$ref": "#/definitions/asset" } }, "asset": { "allOf": [ { "type": "object", "required": [ "href" ], "properties": { "href": { "title": "Asset reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } }, { "$ref": "common.json" } ] } } }stac-validator-4.2.2/stac_validator/stac_validator.py000066400000000000000000000424711517436701200230220ustar00rootroot00000000000000import json import sys import time from typing import Any, Dict, List, Optional, Tuple import click # type: ignore from .batch_validator import validate_concurrently from .fast_validator import FastValidator from .utilities import set_schema_cache_size from .validate import StacValidate def _print_summary( title: str, valid_count: int, total_count: int, obj_type: str = "STAC objects" ) -> None: """Helper function to print a consistent summary line. Args: title (str): Title of the summary section valid_count (int): Number of valid items total_count (int): Total number of items obj_type (str): Type of objects being counted (e.g., 'items', 'collections') """ click.secho() click.secho(f"{title}:", bold=True) if total_count > 0: percentage = (valid_count / total_count) * 100 click.secho( f" {obj_type.capitalize()} passed: {valid_count}/{total_count} ({percentage:.1f}%)" ) else: click.secho(f" No {obj_type} found to validate") def format_duration(seconds: float) -> str: """Format duration in seconds to a human-readable string. Args: seconds (float): Duration in seconds Returns: str: Formatted duration string (e.g., '1m 23.45s' or '456.78ms') """ if seconds < 1.0: return f"{seconds * 1000:.2f}ms" minutes, seconds = divmod(seconds, 60) if minutes > 0: return f"{int(minutes)}m {seconds:.2f}s" return f"{seconds:.2f}s" def print_update_message(version: str) -> None: """Prints an update message for `stac-validator` based on the version of the STAC file being validated. Args: version (str): The version of the STAC file being validated. Returns: None """ click.secho() if version != "1.1.0": click.secho( f"Please upgrade from version {version} to version 1.1.0!", fg="red" ) else: click.secho("Thanks for using STAC version 1.1.0!", fg="green") click.secho() def item_collection_summary(message: List[Dict[str, Any]]) -> None: """Prints a summary of the validation results for an item collection response. Args: message (List[Dict[str, Any]]): The validation results for the item collection. Returns: None """ valid_count = sum(1 for item in message if item.get("valid_stac") is True) _print_summary("-- Item Collection Summary", valid_count, len(message), "items") def collections_summary(message: List[Dict[str, Any]]) -> None: """Prints a summary of the validation results for a collections response. Args: message (List[Dict[str, Any]]): The validation results for the collections. Returns: None """ valid_count = sum(1 for coll in message if coll.get("valid_stac") is True) _print_summary("-- Collections Summary", valid_count, len(message), "collections") def recursive_validation_summary(message: List[Dict[str, Any]]) -> None: """Prints a summary of the recursive validation results. Args: message (List[Dict[str, Any]]): The validation results from recursive validation. Returns: None """ # Count valid and total objects by type type_counts = {} total_valid = 0 for item in message: if not isinstance(item, dict): continue obj_type = item.get("asset_type", "unknown").lower() is_valid = item.get("valid_stac", False) is True if obj_type not in type_counts: type_counts[obj_type] = {"valid": 0, "total": 0} type_counts[obj_type]["total"] += 1 if is_valid: type_counts[obj_type]["valid"] += 1 total_valid += 1 # Print overall summary _print_summary("-- Recursive Validation Summary", total_valid, len(message)) # Print breakdown by type if there are multiple types if len(type_counts) > 1: click.secho("\n Breakdown by type:") for obj_type, counts in sorted(type_counts.items()): percentage = ( (counts["valid"] / counts["total"]) * 100 if counts["total"] > 0 else 0 ) click.secho( f" {obj_type.capitalize()}: {counts['valid']}/{counts['total']} ({percentage:.1f}%)" ) @click.command() @click.argument("stac_file") @click.option( "--core", is_flag=True, help="Validate core stac object only without extensions." ) @click.option("--extensions", is_flag=True, help="Validate extensions only.") @click.option( "--links", is_flag=True, help="Additionally validate links. Only works with default mode.", ) @click.option( "--assets", is_flag=True, help="Additionally validate assets. Only works with default mode.", ) @click.option( "--custom", "-c", default="", help="Validate against a custom schema (local filepath or remote schema).", ) @click.option( "--schema-config", "-sc", default="", help="Validate against a custom schema config (local filepath or remote schema config).", ) @click.option( "--schema-map", "-s", type=(str, str), multiple=True, help="Schema path to replaced by (local) schema path during validation. Can be used multiple times.", ) @click.option( "--recursive", "-r", is_flag=True, help="Recursively validate all related stac objects.", ) @click.option( "--max-depth", "-m", type=int, help="Maximum depth to traverse when recursing. Omit this argument to get full recursion. Ignored if `recursive == False`.", ) @click.option( "--collections", is_flag=True, help="Validate /collections response.", ) @click.option( "--item-collection", "--feature-collection", is_flag=True, help="Validate item collection response. Can be combined with --pages. Defaults to one page.", ) @click.option( "--no-assets-urls", is_flag=True, help="Disables the opening of href links when validating assets (enabled by default).", ) @click.option( "--header", type=(str, str), multiple=True, help="HTTP header to include in the requests. Can be used multiple times.", ) @click.option( "--pages", "-p", type=int, help="Maximum number of pages to validate via --item-collection. Defaults to one page.", ) @click.option( "-t", "--trace-recursion", is_flag=True, help="Enables verbose output for recursive mode.", ) @click.option("--no_output", is_flag=True, help="Do not print output to console.") @click.option( "--log_file", default="", help="Save full recursive output to log file (local filepath).", ) @click.option( "--pydantic", is_flag=True, help="Validate using stac-pydantic models for enhanced type checking and validation.", ) @click.option( "--verbose", is_flag=True, help="Enable verbose output. This will output additional information during validation.", ) @click.option( "--schema-cache-size", type=int, default=None, help="Max number of schema entries to cache in memory. Defaults to 16.", ) def main( stac_file: str, collections: bool, item_collection: bool, no_assets_urls: bool, header: list, pages: int, recursive: bool, max_depth: int, core: bool, extensions: bool, links: bool, assets: bool, custom: str, schema_config: str, schema_map: List[Tuple], trace_recursion: bool, no_output: bool, log_file: str, pydantic: bool, verbose: bool = False, schema_cache_size: Optional[int] = None, ): """Validate a STAC file against the STAC specification. Prints validation results to the console as JSON. Exits with status code 0 if valid, 1 if invalid. """ start_time = time.time() valid = True if schema_map == (): schema_map_dict: Optional[Dict[str, str]] = None else: schema_map_dict = dict(schema_map) if schema_cache_size is not None: if schema_cache_size < 0: raise click.BadParameter( "must be greater than or equal to 0", param_hint="--schema-cache-size", ) set_schema_cache_size(schema_cache_size) stac = StacValidate( stac_file=stac_file, collections=collections, item_collection=item_collection, pages=pages, recursive=recursive, max_depth=max_depth, core=core, links=links, assets=assets, assets_open_urls=not no_assets_urls, headers=dict(header), extensions=extensions, custom=custom, schema_config=schema_config, schema_map=schema_map_dict, trace_recursion=trace_recursion, log=log_file, pydantic=pydantic, verbose=verbose, show_progress=True, ) try: if not item_collection and not collections: valid = stac.run() elif collections: stac.validate_collections() else: stac.validate_item_collection() message = stac.message if "version" in message[0]: print_update_message(message[0]["version"]) if no_output is False: click.echo(json.dumps(message, indent=4)) # Print appropriate summary based on validation mode if item_collection: item_collection_summary(message) elif collections: collections_summary(message) elif recursive: recursive_validation_summary(message) finally: # Always print the duration, even if validation fails duration = time.time() - start_time click.secho( f"\nValidation completed in {format_duration(duration)}", fg="green" ) click.secho() sys.exit(0 if valid else 1) @click.command() @click.argument("files", nargs=-1, required=True, type=click.Path(exists=True)) @click.option( "--cores", type=int, default=None, help="Number of CPU cores to use for parallel validation. Defaults to all available cores.", ) @click.option( "--no-progress", is_flag=True, help="Disable progress bar during validation.", ) @click.option( "--no-output", is_flag=True, help="Do not print output to console.", ) @click.option( "--item-collection", "--feature-collection", is_flag=True, help="Treat files as ItemCollections and validate each item individually.", ) @click.option( "--verbose", is_flag=True, help="Show full JSON output for all items. By default, only invalid items are shown.", ) @click.option( "--schema-cache-size", type=int, default=16, help="Max number of schema entries to cache per worker process. Defaults to 16.", ) @click.option( "--batch-size", type=click.IntRange(min=1), default=2000, help="Batch size for chunked processing. Larger batches use more memory but may be faster. Defaults to 2000.", ) def batch( files: Tuple[str, ...], cores: Optional[int], no_progress: bool, no_output: bool, item_collection: bool, verbose: bool, schema_cache_size: int, batch_size: int, ): """Validate multiple STAC files concurrently using all available CPU cores. This command uses multiprocessing to validate STAC files in parallel, bypassing Python's Global Interpreter Lock (GIL) for maximum performance. Each CPU core gets its own schema cache, which is warmed up on the first file and reused for subsequent files. Examples: # Validate all JSON files in a directory stac-validator batch *.json # Validate specific files stac-validator batch file1.json file2.json file3.json # Use only 4 cores stac-validator batch *.json --cores 4 # Disable progress bar stac-validator batch *.json --no-progress """ if not files: click.secho("Error: No files provided", fg="red") sys.exit(1) start_time = time.time() try: # Configure schema cache size BEFORE spawning workers # This ensures all worker processes inherit the configured cache size if schema_cache_size != 16: set_schema_cache_size(schema_cache_size) # Get optimal worker count from .batch_validator import get_optimal_worker_count optimal_workers = get_optimal_worker_count(cores) # Validate concurrently results = validate_concurrently( list(files), max_workers=cores, show_progress=not no_progress, feature_collection=item_collection, batch_size=batch_size, ) # Calculate statistics valid_count = sum(1 for r in results if r.get("valid_stac", False)) invalid_count = len(results) - valid_count # Print details of failed validations first (only in non-verbose mode) if not no_output and invalid_count > 0 and not verbose: click.secho("Failed validations:", fg="red") # Group errors by (message, schema) and collect item IDs from collections import defaultdict error_groups = defaultdict(list) for result in results: if not result.get("valid_stac", False): # Try to get item ID from result, fallback to path item_id = result.get("item_id", result.get("path", "unknown")) # Handle both old format (errors array) and new format (error_message/failed_schema) if "errors" in result: # Old format: errors array with dict entries for error in result["errors"]: if isinstance(error, dict): error_msg = error.get("message", str(error)) error_schema = error.get("schema", "") error_key = (error_msg, error_schema) else: error_key = (str(error), "") error_groups[error_key].append(item_id) elif "error_message" in result: # New format: error_message and failed_schema fields error_msg = result.get("error_message", "") error_schema = result.get("failed_schema", "") error_key = (error_msg, error_schema) error_groups[error_key].append(item_id) # Print grouped errors with compact formatting for idx, ((error_msg, error_schema), item_ids) in enumerate( sorted(error_groups.items()) ): # Add blank line between error sections (but not before the first one) if idx > 0: click.secho() # Format item IDs compactly (max 5 per line) if len(item_ids) <= 5: ids_str = ", ".join(str(id) for id in item_ids) click.secho(f" [{ids_str}]", fg="red") else: # For many items, show first few and count first_few = ", ".join(str(id) for id in item_ids[:5]) remaining = len(item_ids) - 5 click.secho(f" [{first_few}, ... +{remaining} more]", fg="red") # Display error message click.secho(f" - {error_msg}", fg="yellow") # Display schema if available if error_schema: click.secho(f" Schema: {error_schema}", fg="cyan") # Print full JSON output in verbose mode if not no_output and verbose: click.echo(json.dumps(results, indent=4)) # Print summary at the bottom click.secho() click.secho("Validation Summary:", bold=True) click.secho(f" Total files: {len(results)}") click.secho(f" CPU cores used: {optimal_workers}") click.secho(f" ✅ Valid: {valid_count}") click.secho(f" ❌ Invalid: {invalid_count}") duration = time.time() - start_time click.secho() click.secho(f"Validation completed in {format_duration(duration)}", fg="green") click.secho() sys.exit(0 if invalid_count == 0 else 1) except Exception as e: click.secho(f"Error during batch validation: {e}", fg="red") sys.exit(1) @click.command() @click.argument("stac_file") @click.option( "--quiet", "-q", is_flag=True, help="Suppress individual item logs.", ) @click.option( "--verbose", "-v", is_flag=True, help="Show full validation logs for all items. By default, a limited sample of item logs is shown.", ) def fast(stac_file: str, quiet: bool, verbose: bool): """High-speed validation using fastjsonschema and local caching.""" try: fv = FastValidator(stac_file, quiet=quiet, verbose=verbose) fv.run() sys.exit(0 if fv.valid else 1) except RuntimeError as e: click.secho(f"\n🚨 FATAL ERROR: {e}", fg="red", bold=True) sys.exit(1) @click.group() def cli(): """STAC Validator - Validate STAC files against the STAC specification. \b Usage: stac-validator validate [options] stac-validator batch [options] stac-validator batch --feature-collection [options] stac-validator fast [options] """ pass # Register commands cli.add_command(main, name="validate") cli.add_command(batch, name="batch") cli.add_command(fast, name="fast") if __name__ == "__main__": cli() stac-validator-4.2.2/stac_validator/utilities.py000066400000000000000000000453421517436701200220360ustar00rootroot00000000000000import functools import json import logging import os import ssl from typing import Dict, Optional, Tuple from urllib.parse import urlparse from urllib.request import Request, urlopen import requests # type: ignore import yaml # type: ignore from jsonschema import Draft202012Validator from referencing import Registry, Resource # type: ignore from referencing.jsonschema import DRAFT202012 # type: ignore from referencing.typing import URI # type: ignore NEW_VERSIONS = [ "1.0.0-beta.2", "1.0.0-rc.1", "1.0.0-rc.2", "1.0.0-rc.3", "1.0.0-rc.4", "1.0.0", "1.1.0-beta.1", "1.1.0", ] def validate_stac_version_field(stac_content: Dict) -> Tuple[bool, str, str]: """Validate the stac_version field in STAC content. Args: stac_content (dict): The STAC content dictionary. Returns: Tuple[bool, str, str]: (is_valid, error_type, error_message) - is_valid: True if the version is valid - error_type: Error type string if invalid, empty string if valid - error_message: Error message if invalid, empty string if valid """ version = stac_content.get("stac_version", "") # Check if version is present and not empty if not version or not isinstance(version, str) or version.strip() == "": error_type = "MissingSTACVersion" error_msg = ( "The 'stac_version' field is missing or empty. " "Please ensure your STAC object includes a valid 'stac_version' field " "(e.g., '1.0.0', '1.1.0'). This field is required for proper schema validation." ) return False, error_type, error_msg # Validate version format format_valid, format_error = validate_version_format(version) if not format_valid: return False, "InvalidSTACVersionFormat", format_error return True, "", "" def validate_version_format(version: str) -> Tuple[bool, str]: """Validate that a STAC version string has the correct format. Args: version (str): The version string to validate. Returns: Tuple[bool, str]: (is_valid, error_message) - is_valid: True if the version format is valid - error_message: Description of the issue if invalid, empty string if valid Valid formats: - Standard semver: "1.0.0", "1.1.0", "0.9.0" - Pre-release versions: "1.0.0-beta.1", "1.0.0-rc.1" """ if not version: return False, "Version is empty" import re # Regex for semantic versioning: major.minor.patch with optional pre-release semver_pattern = r"^\d+\.\d+\.\d+(-[\w\.\-]+)?$" if not re.match(semver_pattern, version): return False, ( f"Version '{version}' does not match expected format. " "STAC versions should be in semantic versioning format (e.g., '1.0.0', '1.1.0', '1.0.0-beta.1'). " "Please check your 'stac_version' field." ) return True, "" def is_url(url: str) -> bool: """Checks whether the input string is a valid URL. Args: url (str): The string to check. Returns: bool: True if the input string is a valid URL, False otherwise. """ try: result = urlparse(url) return all([result.scheme, result.netloc]) except ValueError: return False def is_valid_url(url: str) -> bool: """Checks if a given string is a valid URL. Args: url: A string to check for validity as a URL. Returns: A boolean value indicating whether the input string is a valid URL. """ return urlparse(url).scheme in ["http", "https"] def get_stac_type(stac_content: Dict) -> str: """Determine the type of a STAC resource. Given a dictionary representing a STAC resource, this function determines the resource's type and returns a string representing that type. The resource type can be one of 'Item', 'Catalog', or 'Collection'. Args: stac_content: A dictionary representing a STAC resource. Returns: A string representing the type of the STAC resource. Raises: TypeError: If the input is not a dictionary. """ try: content_types = ["Item", "Catalog", "Collection"] if "type" in stac_content and stac_content["type"] == "Feature": return "Item" elif "type" in stac_content and stac_content["type"] in content_types: return stac_content["type"] elif "extent" in stac_content or "license" in stac_content: return "Collection" else: return "Catalog" except TypeError as e: return str(e) def fetch_and_parse_file(input_path: str, headers: Optional[Dict] = None) -> Dict: """Fetches and parses a JSON file from a URL or local file. Given a URL or local file path to a JSON file, this function fetches the file, and parses its contents into a dictionary. If the input path is a valid URL, the function uses the requests library to download the file, otherwise it opens the local file with the json library. Args: input_path: A string representing the URL or local file path to the JSON file. headers: For URLs: HTTP headers to include in the request Returns: A dictionary containing the parsed contents of the JSON file. Raises: ValueError: If the input is not a valid URL or local file path. requests.exceptions.RequestException: If there is an error while downloading the file. """ try: if is_url(input_path): resp = requests.get(input_path, headers=headers, timeout=10) resp.raise_for_status() data = resp.json() else: with open(input_path) as f: data = json.load(f) return data except (ValueError, requests.exceptions.RequestException) as e: raise e DEFAULT_SCHEMA_CACHE_SIZE = 16 def _build_schema_cache(maxsize: int): @functools.lru_cache(maxsize=maxsize) def _cached_fetch(input_path: str) -> Dict: return fetch_and_parse_file(input_path) return _cached_fetch def _build_validator_cache(maxsize: int): @functools.lru_cache(maxsize=maxsize) def _cached_validator(schema_json: str) -> Draft202012Validator: schema = json.loads(schema_json) return Draft202012Validator(schema) return _cached_validator _schema_cache = _build_schema_cache(DEFAULT_SCHEMA_CACHE_SIZE) _validator_cache = _build_validator_cache(DEFAULT_SCHEMA_CACHE_SIZE) def set_schema_cache_size(maxsize: int) -> None: """Reconfigure the schema cache max size at runtime. Controls both the fetch/parse cache and the compiled validator cache. Args: maxsize: Maximum number of cached schema entries. Use 0 to disable caching. Raises: ValueError: If maxsize is negative. """ if maxsize < 0: raise ValueError("schema cache size must be greater than or equal to 0") global _schema_cache, _validator_cache _schema_cache = _build_schema_cache(maxsize) _validator_cache = _build_validator_cache(maxsize) def _fetch_and_parse_schema_cache_info(): return _schema_cache.cache_info() def _fetch_and_parse_schema_cache_clear() -> None: _schema_cache.cache_clear() _cached_schemas = set() def _map_extension_url_to_local(url: str) -> str: """ Map remote extension schema URLs to local file paths if available. For example: - https://stac-extensions.github.io/eo/v1.0.0/schema.json -> local_schemas/extensions/eo-v1.0.0.json - https://stac-extensions.github.io/projection/v1.0.0/schema.json -> local_schemas/extensions/projection-v1.0.0.json Args: url: Remote schema URL Returns: Local file path if available, otherwise returns the original URL """ import os import re # Match pattern: https://stac-extensions.github.io/{extension}/{version}/schema.json match = re.match( r"https://stac-extensions\.github\.io/([^/]+)/v([^/]+)/schema\.json", url ) if match: extension_name = match.group(1) version = match.group(2) local_file = os.path.join( os.path.dirname(__file__), "local_schemas", "extensions", f"{extension_name}-v{version}.json", ) # Return local path if file exists, otherwise return original URL if os.path.exists(local_file): return local_file return url def fetch_and_parse_schema(input_path: str) -> Dict: """Fetches and parses a JSON schema file from a URL or local file using a cache. Given a URL or local file path to a JSON schema file, this function fetches the file and parses its contents into a dictionary. If the input path is a valid URL, the function uses the requests library to download the file, otherwise it opens the local file with the json library. Additionally, this function caches the results of previous function calls to reduce the number of times the file is fetched and parsed. For extension schemas, attempts to use local files if available to avoid network requests. Args: input_path: A string representing the URL or local file path to the JSON schema file. Returns: A dictionary containing the parsed contents of the JSON schema file. Raises: ValueError: If the input is not a valid URL or local file path. requests.exceptions.RequestException: If there is an error while downloading the file. """ logger = logging.getLogger(__name__) # Try to map extension URLs to local files resolved_path = _map_extension_url_to_local(input_path) # Log when fetching a new schema if resolved_path not in _cached_schemas: if resolved_path != input_path: logger.info( f"Using local schema: {resolved_path} (mapped from {input_path})" ) else: logger.info(f"Fetching schema: {input_path}") result = _schema_cache(resolved_path) # Track which schemas have been cached for logging if resolved_path not in _cached_schemas: _cached_schemas.add(resolved_path) logger.info(f"✓ Cached schema: {resolved_path}") return result fetch_and_parse_schema.cache_info = _fetch_and_parse_schema_cache_info # type: ignore[attr-defined] fetch_and_parse_schema.cache_clear = _fetch_and_parse_schema_cache_clear # type: ignore[attr-defined] def set_schema_addr(version: str, stac_type: str) -> str: """Set the URL address for the JSON schema to be used for validating the STAC object. Uses local schema files for core STAC schemas (v1.0.0 and v1.1.0) to avoid network requests. Falls back to remote URLs for other versions. Args: version (str): The version number of the STAC object. stac_type (str): The type of the STAC object (e.g. "item", "collection"). Returns: str: The file path or URL address for the JSON schema. """ # Use local schemas for supported versions to avoid network requests if version in ("1.0.0", "1.1.0"): import os schema_dir = os.path.join(os.path.dirname(__file__), "local_schemas", version) schema_file = os.path.join(schema_dir, f"{stac_type}.json") if os.path.exists(schema_file): return schema_file # Fall back to remote URLs for unsupported versions if version in NEW_VERSIONS: return f"https://schemas.stacspec.org/v{version}/{stac_type}-spec/json-schema/{stac_type}.json" else: return f"https://cdn.staclint.com/v{version}/{stac_type}.json" def link_request( link: Dict, initial_message: Dict, open_urls: bool = True, headers: Dict = {} ) -> None: """Makes a request to a URL and appends it to the relevant field of the initial message. Args: link: A dictionary containing a "href" key which is a string representing a URL. initial_message: A dictionary containing lists for "request_valid", "request_invalid", "format_valid", and "format_invalid" URLs. open_urls: Whether to open link href URL headers: HTTP headers to include in the request Returns: None """ if is_url(link["href"]): try: if open_urls: request = Request(link["href"], headers=headers) if "s3" in link["href"]: context = ssl._create_unverified_context() response = urlopen(request, context=context) else: response = urlopen(request) status_code = response.getcode() if status_code == 200: initial_message["request_valid"].append(link["href"]) except Exception: initial_message["request_invalid"].append(link["href"]) initial_message["format_valid"].append(link["href"]) else: initial_message["request_invalid"].append(link["href"]) initial_message["format_invalid"].append(link["href"]) def cached_retrieve(uri: URI, schema_map: Optional[Dict] = None) -> Resource[Dict]: """ Retrieve and cache a remote schema. Args: uri (str): The URI of the schema. schema_map_keys: Override schema location to validate against local versions of a schema Returns: dict: The parsed JSON dict of the schema. Raises: requests.RequestException: If the request to fetch the schema fails. Exception: For any other unexpected errors. """ return Resource.from_contents( fetch_schema_with_override(uri, schema_map=schema_map) ) def fetch_schema_with_override( schema_path: str, schema_map: Optional[Dict] = None ) -> Dict: """ Retrieve and cache a remote schema. Args: schema_path (str): Path or URI of the schema. schema_map (dict): Override schema location to validate against local versions of a schema Returns: dict: The parsed JSON dict of the schema. """ if schema_map: if schema_path in schema_map: schema_path = schema_map[schema_path] # Load the schema return fetch_and_parse_schema(schema_path) def _build_cached_validator(schema_json: str) -> Draft202012Validator: """ Build and cache a Draft202012Validator from a JSON schema string. This function uses the dynamic validator cache configured via set_schema_cache_size(). The expensive operation of building the validator's validation tree is cached here. Uses a global lookup to respect runtime cache size changes. Args: schema_json (str): JSON string representation of the schema. Returns: Draft202012Validator: Compiled validator object. """ # Use global lookup to respect runtime cache size changes return globals()["_validator_cache"](schema_json) def validate_with_ref_resolver( schema_path: str, content: Dict, schema_map: Optional[Dict] = None ) -> None: """ Validate a JSON document against a JSON Schema with dynamic reference resolution. Args: schema_path (str): Path or URI of the JSON Schema. content (dict): JSON content to validate. schema_map (dict): Override schema location to validate against local versions of a schema Raises: jsonschema.exceptions.ValidationError: If validation fails. requests.RequestException: If fetching a remote schema fails. FileNotFoundError: If a local schema file is not found. Exception: If any other error occurs during validation. """ schema = fetch_schema_with_override(schema_path, schema_map=schema_map) # Set up the resource and registry for schema resolution cached_retrieve_with_schema_map = functools.partial( cached_retrieve, schema_map=schema_map ) resource: Resource = Resource(contents=schema, specification=DRAFT202012) # type: ignore registry: Registry = Registry(retrieve=cached_retrieve_with_schema_map).with_resource( # type: ignore uri=schema_path, resource=resource ) # type: ignore # Use cached validator with registry for reference resolution # Convert schema to JSON string for caching key schema_json = json.dumps(schema, sort_keys=True, separators=(",", ":")) cached_base_validator = _build_cached_validator(schema_json) # Create a new validator with the registry (registry cannot be cached as it's mutable) validator = Draft202012Validator(cached_base_validator.schema, registry=registry) validator.validate(content) def load_schema_config(config_path: str) -> dict: """ Loads a schema config file (YAML or JSON) that maps remote schema URLs to local file paths. Supports an optional top-level 'schemas' key. Args: config_path: Path to the schema config file. Returns: A dict mapping remote schema URLs to local file paths. Raises: FileNotFoundError: If the config file does not exist. ValueError: If the file is not valid YAML/JSON or is missing required keys. """ if not os.path.exists(config_path): raise FileNotFoundError(f"Schema config file not found: {config_path}") with open(config_path, "r") as f: if config_path.endswith(".json"): data = json.load(f) else: data = yaml.safe_load(f) # Support both top-level and nested under 'schemas' if "schemas" in data: return data["schemas"] return data def extract_relevant_oneof_error(error, instance=None): """Extract the most relevant error from a 'oneOf' validation error. Given a jsonschema.ValidationError for a 'oneOf' failure, this function returns the most relevant sub-error, with preference given to errors matching the instance's 'type'. If no matching type is found, it falls back to returning the first sub-error. Args: error (jsonschema.ValidationError): The validation error from a 'oneOf' validation. instance (dict, optional): The instance being validated. If provided and contains a 'type' field, the function will try to find a matching schema for that type. Defaults to None. Returns: jsonschema.ValidationError: The most relevant sub-error from the 'oneOf' validation. If the error is not a 'oneOf' validation error or has no context, returns the original error unchanged. """ if error.validator == "oneOf" and hasattr(error, "context") and error.context: if instance and "type" in instance: for suberror in error.context: # Try to match the instance 'type' to the schema's 'type' props = suberror.schema.get("properties", {}) type_schema = props.get("type", {}) if ( isinstance(type_schema, dict) and "const" in type_schema and instance["type"] == type_schema["const"] ): return suberror # Fallback to the first suberror return error.context[0] return error stac-validator-4.2.2/stac_validator/validate.py000066400000000000000000001274671517436701200216250ustar00rootroot00000000000000import json import os from json.decoder import JSONDecodeError from typing import Any, Dict, List, Optional, Union from urllib.error import HTTPError, URLError import click # type: ignore import jsonschema # type: ignore from jsonschema.exceptions import best_match from requests import exceptions # type: ignore from .utilities import ( extract_relevant_oneof_error, fetch_and_parse_file, fetch_and_parse_schema, get_stac_type, is_valid_url, link_request, load_schema_config, set_schema_addr, validate_stac_version_field, validate_with_ref_resolver, ) class StacValidate: """ Class that validates STAC objects. Attributes: stac_file (str): The path or URL to the STAC object to be validated. collections (bool): Validate response from a /collections endpoint. item_collection (bool): Whether the STAC object to be validated is an item collection. pages (int): The maximum number of pages to validate if `item_collection` is True. recursive (bool): Whether to recursively validate related STAC objects. max_depth (int): The maximum depth to traverse when recursively validating related STAC objects. core (bool): Whether to only validate the core STAC object (without extensions). links (bool): Whether to additionally validate links (only works in default mode). assets (bool): Whether to additionally validate assets (only works in default mode). assets_open_urls (bool): Whether to open assets URLs when validating assets. headers (dict): HTTP headers to include in the requests. extensions (bool): Whether to only validate STAC object extensions. custom (str): The local filepath or remote URL of a custom JSON schema to validate the STAC object. trace_recursion (bool): Whether to enable verbose output in recursive mode. log (str): The local filepath to save the output of the recursive validation to. pydantic (bool): Whether to validate using Pydantic models. schema_config (str): The local filepath or remote URL of a custom JSON schema config to validate the STAC object. schema_map (Optional[Dict[str, str]]): A dictionary mapping schema paths to their replacements. verbose (bool): Whether to enable verbose output. Methods: run(): Validates the STAC object and returns whether it is valid. validate_item_collection(): Validates an item collection. """ def __init__( self, stac_file: Optional[str] = None, collections: bool = False, item_collection: bool = False, pages: Optional[int] = None, recursive: bool = False, max_depth: Optional[int] = None, core: bool = False, links: bool = False, assets: bool = False, assets_open_urls: bool = True, headers: dict = {}, extensions: bool = False, custom: str = "", schema_config: Optional[str] = None, schema_map: Optional[Dict[str, str]] = None, trace_recursion: bool = False, log: str = "", pydantic: bool = False, verbose: bool = False, show_progress: bool = False, ): self.stac_file = stac_file self.collections = collections self.item_collection = item_collection self.pages = pages self.message: List = [] self._schema = custom self.schema_map = schema_map self.schema_config = schema_config self.links = links self.assets = assets self.assets_open_urls = assets_open_urls self.headers: Dict = headers self.recursive = recursive self.max_depth = max_depth self.extensions = extensions self.core = core self.stac_content: Dict = {} self.version = "" self.depth: int = 0 self.skip_val = False self.trace_recursion = trace_recursion self.valid = False self.log = log self.pydantic = pydantic self.verbose = verbose self.show_progress = show_progress self._original_schema_paths = {} cli_schema_map = schema_map or {} # Load config mappings if provided config_mappings = {} if schema_config: try: config_mappings = load_schema_config(schema_config) config_dir = os.path.dirname(os.path.abspath(schema_config)) # Handle config mappings for url, path in list(config_mappings.items()): self._original_schema_paths[url] = path # Resolve relative to config file dir for loading if not os.path.isabs(path) and not is_valid_url(path): config_mappings[url] = os.path.join(config_dir, path) abs_path = os.path.abspath(config_mappings[url]) self._original_schema_paths[abs_path] = ( path # <-- This line is critical ) except Exception as e: click.secho( f"Error loading schema config file: {e}", fg="red", err=True ) config_mappings = {} # Handle CLI mappings for url, path in list(cli_schema_map.items()): self._original_schema_paths[url] = path # Resolve relative to CWD for loading if not os.path.isabs(path) and not is_valid_url(path): cli_schema_map[url] = os.path.abspath(path) abs_path = os.path.abspath(cli_schema_map[url]) self._original_schema_paths[abs_path] = path # <-- This line is critical # Merge config with CLI (CLI wins) self.schema_map = {**config_mappings, **cli_schema_map} @property def schema(self) -> str: return self._schema @schema.setter def schema(self, schema_path: str): if self.schema_map: if schema_path in self.schema_map: schema_path = self.schema_map[schema_path] self._schema = schema_path def _format_jsonschema_error_verbose( self, error: jsonschema.exceptions.ValidationError ) -> Dict[str, Any]: """Format a JSON Schema validation error into a detailed dictionary. This method transforms a jsonschema ValidationError into a structured dictionary containing comprehensive information about the validation failure, including error details, schema information, and relevant paths. Args: error: The jsonschema ValidationError to be formatted. Returns: Dict[str, Any]: A dictionary containing detailed information about the validation error, including: - error_type: Type of validation error - detail: Error message - validator: The validator that failed - path_in_document: Path to the error in the validated document - path_in_schema: Path to the error in the schema - schema: The relevant schema section that caused the validation failure - validator_value: The value that failed validation - instance: The actual value that caused the validation failure """ verbose_details: Dict[str, Any] = {} verbose_details["validator"] = error.validator if error.validator_value is not None: val_value_repr = repr(error.validator_value) if len(val_value_repr) > 800: val_value_repr = val_value_repr[:800] + "... (truncated)" verbose_details["validator_value"] = val_value_repr else: verbose_details["validator_value"] = None # if error.instance is not None: # instance_repr = repr(error.instance) # if len(instance_repr) > 200: # Max length for instance snippet # instance_repr = instance_repr[:200] + "... (truncated)" # verbose_details["instance_snippet"] = instance_repr # else: # verbose_details["instance_snippet"] = None if ( error.schema is not None and error.validator is not None and isinstance(error.schema, dict) and isinstance(error.validator, str) ): verbose_details["schema"] = error.schema.get(error.validator) else: verbose_details["schema"] = None verbose_details["path_in_document"] = list(error.absolute_path) verbose_details["path_in_schema"] = list(error.absolute_schema_path) # if error.context: # context_errors_list = [] # for context_error in sorted(error.context, key=jsonschema.exceptions.relevance): # # Recursively format context errors, ensuring best_match is handled if nested # best_context_error = best_match([context_error]) if context_error.context else context_error # context_errors_list.append(self._format_jsonschema_error_verbose(best_context_error)) # verbose_details["context_errors"] = context_errors_list return verbose_details def _create_verbose_err_msg(self, error_input: Any) -> Union[Dict[str, Any], str]: """Create a verbose error message from various error input types. Args: error_input: The error input to process. Can be a jsonschema ValidationError, dictionary, Exception, or any other type that can be converted to string. Returns: Union[Dict[str, Any], str]: A detailed error message. For jsonschema ValidationError, returns a dictionary with detailed validation information. For other Exception types, returns a dictionary with error type and detail. For dictionaries, returns the dictionary as-is. For all other types, returns the string representation. """ if isinstance(error_input, jsonschema.exceptions.ValidationError): return self._format_jsonschema_error_verbose(error_input) elif isinstance(error_input, dict): return error_input elif isinstance(error_input, Exception): return { "error_type": type(error_input).__name__, "detail": str(error_input), } elif error_input is None: return {} return str(error_input) # Fallback to string representation def create_err_msg( self, err_type: str, err_msg: str, error_obj: Optional[Exception] = None, schema_uri: str = "", version: Optional[str] = None, ) -> Dict[str, Union[str, bool, List[str], Dict[str, Any]]]: """ Create a standardized error message dictionary and mark validation as failed. Args: err_type (str): The type of error. err_msg (str): The error message. error_obj (Optional[Exception]): The raw exception object for verbose details. schema_uri (str, optional): The URI of the schema that failed validation. version (Optional[str]): Override version to use in the error message. Returns: dict: Dictionary containing error information. """ self.valid = False # Ensure all values are of the correct type if not isinstance(err_type, str): err_type = str(err_type) if not isinstance(err_msg, str): err_msg = str(err_msg) # Use provided version or fall back to self.version version_to_use = ( version if version is not None else (str(self.version) if hasattr(self, "version") else "") ) # Initialize the message with common fields message: Dict[str, Any] = { "version": version_to_use, "path": str(self.stac_file) if hasattr(self, "stac_file") else "", "schema": ( [self._original_schema_paths.get(self.schema, self.schema)] if hasattr(self, "schema") else [""] ), "valid_stac": False, "error_type": err_type, "error_message": err_msg, "failed_schema": schema_uri if schema_uri else "", "recommendation": "For more accurate error information, rerun with --verbose.", } # Add asset_type and validation_method if available if hasattr(self, "stac_content"): try: stac_type = get_stac_type(self.stac_content) if stac_type: message["asset_type"] = stac_type.upper() message["validation_method"] = ( "recursive" if hasattr(self, "recursive") and self.recursive else "default" ) except Exception: # noqa: BLE001 pass # Ensure schema is properly typed schema_value: str = "" if self.schema is not None: schema_value = str(self.schema) schema_field: List[str] = [schema_value] if schema_value else [] # Initialize the error message with common fields error_message: Dict[str, Union[str, bool, List[str], Dict[str, Any]]] = { "version": version_to_use, "path": str(self.stac_file) if self.stac_file is not None else "", "schema": schema_field, # All schemas that were checked "valid_stac": False, "error_type": err_type, "error_message": err_msg, "failed_schema": "", # Will be populated if we can determine which schema failed } # Try to extract the failed schema from the error message if it's a validation error if error_obj and hasattr(error_obj, "schema"): if isinstance(error_obj.schema, dict) and "$id" in error_obj.schema: error_message["failed_schema"] = error_obj.schema["$id"] elif hasattr(error_obj, "schema_url"): error_message["failed_schema"] = error_obj.schema_url # If we can't find a schema ID, try to get it from the schema map elif schema_field and len(schema_field) == 1: error_message["failed_schema"] = schema_field[0] if self.verbose and error_obj is not None: verbose_err = self._create_verbose_err_msg(error_obj) if isinstance(verbose_err, dict): error_message["error_verbose"] = verbose_err else: error_message["error_verbose"] = {"detail": str(verbose_err)} # Add recommendation to check the schema if the error is not clear if error_message.get("failed_schema"): error_message["recommendation"] = ( "If the error is unclear, please check the schema documentation at: " f"{error_message['failed_schema']}" ) else: error_message["recommendation"] = ( "For more accurate error information, rerun with --verbose." ) return error_message def create_links_message(self) -> Dict: """ Create an initial links validation message structure. Returns: dict: An empty validation structure for link checking. """ format_valid: List = [] format_invalid: List = [] request_valid: List = [] request_invalid: List = [] return { "format_valid": format_valid, "format_invalid": format_invalid, "request_valid": request_valid, "request_invalid": request_invalid, } def create_message(self, stac_type: str, val_type: str) -> Dict: """ Create a standardized validation message dictionary. Args: stac_type (str): The STAC object type. val_type (str): The type of validation (e.g., "default", "core"). Returns: dict: Dictionary containing general validation information. """ return { "version": self.version, "path": self.stac_file, "schema": [self._original_schema_paths.get(self.schema, self.schema)], "valid_stac": False, "asset_type": stac_type.upper(), "validation_method": val_type, } def assets_validator(self) -> Dict: """ Validate the 'assets' field in STAC content if present. Returns: dict: A dictionary containing the asset validation results. """ initial_message = self.create_links_message() assets = self.stac_content.get("assets") if assets: for asset in assets.values(): link_request( asset, initial_message, self.assets_open_urls, self.headers ) return initial_message def links_validator(self) -> Dict: """ Validate the 'links' field in STAC content. Returns: dict: A dictionary containing the link validation results. """ initial_message = self.create_links_message() root_url = "" # Try to locate a self/alternate link that is a valid URL for root reference for link in self.stac_content["links"]: if link["rel"] in ["self", "alternate"] and is_valid_url(link["href"]): root_url = ( link["href"].split("/")[0] + "//" + link["href"].split("/")[2] ) # Validate each link, making it absolute if necessary for link in self.stac_content["links"]: if not is_valid_url(link["href"]): link["href"] = root_url + link["href"][1:] link_request(link, initial_message, True, self.headers) return initial_message def custom_validator(self) -> None: """ Validate a STAC JSON file against a custom or dynamically resolved JSON schema. 1. If `self.schema` is a valid URL, fetch and validate. 2. If it is a local file path, use it. 3. Otherwise, assume it is a relative path and resolve relative to the STAC file. Returns: None """ if is_valid_url(self.schema): validate_with_ref_resolver( self.schema, self.stac_content, schema_map=self.schema_map ) elif os.path.exists(self.schema): validate_with_ref_resolver( self.schema, self.stac_content, schema_map=self.schema_map ) else: file_directory = os.path.dirname(os.path.abspath(str(self.stac_file))) schema = os.path.join(file_directory, self.schema) schema = os.path.abspath(os.path.realpath(schema)) validate_with_ref_resolver( schema, self.stac_content, schema_map=self.schema_map ) def core_validator(self, stac_type: str) -> None: """ Validate the STAC content against the core schema determined by stac_type and version. Args: stac_type (str): The type of the STAC object (e.g., "item", "collection"). """ stac_type = stac_type.lower() self.schema = set_schema_addr(self.version, stac_type) validate_with_ref_resolver( self.schema, self.stac_content, schema_map=self.schema_map ) def extensions_validator(self, stac_type: str) -> Dict: """ Validate STAC extensions for an ITEM or validate the core schema for a COLLECTION. Args: stac_type (str): The STAC object type ("ITEM" or "COLLECTION"). Returns: dict: A dictionary containing extension (or core) validation results. """ message = self.create_message(stac_type, "extensions") message["schema"] = [] valid = True extension = None try: if ( "stac_extensions" in self.stac_content and len(self.stac_content["stac_extensions"]) > 0 ): # Handle legacy "proj" to "projection" mapping if "proj" in self.stac_content["stac_extensions"]: index = self.stac_content["stac_extensions"].index("proj") self.stac_content["stac_extensions"][index] = "projection" schemas = self.stac_content["stac_extensions"] for extension in schemas: if not (is_valid_url(extension) or extension.endswith(".json")): if self.version == "1.0.0-beta.2": self.stac_content["stac_version"] = "1.0.0-beta.1" self.version = self.stac_content["stac_version"] extension = ( f"https://cdn.staclint.com/v{self.version}/extension/" f"{extension}.json" ) self.schema = extension self.custom_validator() display_path = self._original_schema_paths.get(extension, extension) message["schema"].append(display_path) else: self.core_validator(stac_type) display_path = self._original_schema_paths.get(self.schema, self.schema) message["schema"] = [display_path] except jsonschema.exceptions.ValidationError as e: verbose_error = e e = extract_relevant_oneof_error(e, self.stac_content) if self.recursive: raise if e.context: e = best_match(e.context) # type: ignore valid = False # Get the current schema (extension) that caused the validation error failed_schema = ( self._original_schema_paths.get(extension, extension) if extension else "unknown schema" ) # Build the error message with path information err_msg = e.message path_info = ( f"Error is in {' -> '.join(map(str, e.absolute_path))} " if e.absolute_path else "" ) if path_info: err_msg = f"{err_msg}. {path_info}" # Create the error message with the original error object message = self.create_err_msg( err_type="JSONSchemaValidationError", err_msg=err_msg, error_obj=verbose_error, ) # Set the failed_schema in the message if we have it if failed_schema: message["failed_schema"] = failed_schema return message except Exception as e: if self.recursive: raise valid = False # Include the current schema in the error message for other types of exceptions current_schema = ( self._original_schema_paths.get(extension, extension) if extension else "unknown schema" ) err_msg = f"{e} [Schema: {current_schema}]. Error in Extensions." return self.create_err_msg( err_type="Exception", err_msg=err_msg, error_obj=e ) self.valid = valid message["valid_stac"] = valid return message def default_validator(self, stac_type: str) -> Dict: """ Validate a STAC Catalog or Item against the core schema and its extensions. Args: stac_type (str): The type of STAC object. Must be "catalog" or "item". Returns: dict: A dictionary with results of the default validation. """ message = self.create_message(stac_type, "default") message["schema"] = [] # Validate core self.core_validator(stac_type) core_schema = self.schema display_path = self._original_schema_paths.get(core_schema, core_schema) if display_path not in message["schema"]: message["schema"].append(display_path) stac_upper = stac_type.upper() # Validate extensions if ITEM if stac_upper == "ITEM" or stac_upper == "COLLECTION": message = self.extensions_validator(stac_upper) message["validation_method"] = "default" display_path = self._original_schema_paths.get(core_schema, core_schema) if display_path not in message["schema"]: message["schema"].append(display_path) # Optionally validate links if self.links: message["links_validated"] = self.links_validator() # Optionally validate assets if self.assets: message["assets_validated"] = self.assets_validator() return message def recursive_validator(self, stac_type: str) -> bool: """ Recursively validate a STAC JSON document and its children/items. Follows "child" and "item" links, calling the appropriate validator on each. Uses pydantic_validator if self.pydantic is True, otherwise uses default_validator. Args: stac_type (str): The STAC object type to validate. Returns: bool: True if all validations are successful, False otherwise. """ valid = False if not self.skip_val: self.schema = set_schema_addr(self.version, stac_type.lower()) message = self.create_message(stac_type, "recursive") message["valid_stac"] = False # Add validator_engine field to track validation method message["validator_engine"] = "pydantic" if self.pydantic else "jsonschema" try: if self.pydantic: # Set pydantic model info in schema field model_name = f"stac-pydantic {stac_type.capitalize()} model" message["schema"] = [model_name] # Run pydantic validation msg = self.pydantic_validator(stac_type) else: msg = self.default_validator(stac_type) message["schema"] = msg["schema"] except jsonschema.exceptions.ValidationError as e: if e.context: e = best_match(e.context) # type: ignore if e.absolute_path: err_msg = ( f"{e.message}. Error is in " f"{' -> '.join([str(i) for i in e.absolute_path])} " ) else: err_msg = f"{e.message}" message.update( self.create_err_msg( err_type="JSONSchemaValidationError", err_msg=err_msg, error_obj=e, schema_uri=( e.schema.get("$id", "") if hasattr(e, "schema") and isinstance(e.schema, dict) else "" ), ) ) self.message.append(message) if self.trace_recursion: click.echo(json.dumps(message, indent=4)) return valid except Exception as e: if self.pydantic and "pydantic" in str(e.__class__.__module__): message.update( self.create_err_msg( err_type="PydanticValidationError", err_msg=str(e), error_obj=e, ) ) self.message.append(message) if self.trace_recursion: click.echo(json.dumps(message, indent=4)) return valid raise valid = True message["valid_stac"] = valid self.message.append(message) if self.trace_recursion: click.echo(json.dumps(message, indent=4)) self.depth += 1 if self.max_depth and self.depth >= self.max_depth: self.skip_val = True base_url = self.stac_file child_validity = [] for link in self.stac_content["links"]: if link["rel"] in ("child", "item"): address = link["href"] if not is_valid_url(address): path_parts = str(base_url).split("/") path_parts.pop(-1) root = path_parts[0] for i in range(1, len(path_parts)): root = f"{root}/{path_parts[i]}" self.stac_file = f"{root}/{address}" else: self.stac_file = address self.stac_content = fetch_and_parse_file( str(self.stac_file), self.headers ) self.stac_content["stac_version"] = self.version stac_type = get_stac_type(self.stac_content).lower() if link["rel"] == "child": if not self.skip_val: valid_child = self.recursive_validator(stac_type) child_validity.append(valid_child) if link["rel"] == "item": self.schema = set_schema_addr(self.version, stac_type.lower()) message = self.create_message(stac_type, "recursive") message["validator_engine"] = ( "pydantic" if self.pydantic else "jsonschema" ) try: if self.pydantic: # Set pydantic model info in schema field for child items model_name = f"stac-pydantic {stac_type.capitalize()} model" message["schema"] = [model_name] # Run pydantic validation msg = self.pydantic_validator(stac_type) elif self.version == "0.7.0": schema = fetch_and_parse_schema(self.schema) # Prevent unknown url type issue schema["allOf"] = [{}] jsonschema.validate(self.stac_content, schema) else: msg = self.default_validator(stac_type) message["schema"] = msg["schema"] message["valid_stac"] = True except Exception as e: if self.pydantic and "pydantic" in str(e.__class__.__module__): message.update( self.create_err_msg( err_type="PydanticValidationError", err_msg=str(e), error_obj=e, ) ) message["valid_stac"] = False else: raise if self.log or (not self.max_depth or self.max_depth < 5): self.message.append(message) if all(child_validity): valid = True else: valid = False return valid def validate_dict(self, stac_content: Dict) -> bool: """ Validate the contents of a dictionary representing a STAC object. Args: stac_content (dict): The dictionary representation of the STAC object. Returns: bool: True if validation succeeded, False otherwise. """ self.stac_content = stac_content return self.run() def validate_item_collection_dict(self, item_collection: Dict) -> None: """ Validate the contents of a STAC Item Collection. Args: item_collection (dict): The dictionary representation of the item collection. """ # Store the original stac_file to restore it later original_stac_file = self.stac_file # Use tqdm for progress bar if available and show_progress is True if self.show_progress: try: from tqdm import tqdm items_iter = tqdm( item_collection["features"], desc="Validating Items", unit="item" ) except ImportError: items_iter = item_collection["features"] else: items_iter = item_collection["features"] for item in items_iter: # Update the path to include the item ID for better traceability if isinstance(original_stac_file, str) and "id" in item: # Remove any query string from the URL before appending the item ID base_url = original_stac_file.split("?")[0] self.stac_file = f"{base_url}/{item['id']}" self.schema = "" self.validate_dict(item) # Restore the original stac_file self.stac_file = original_stac_file def validate_collections(self) -> None: """ Validate STAC Collections from a /collections endpoint. Raises: URLError, JSONDecodeError, ValueError, TypeError, FileNotFoundError, ConnectionError, exceptions.SSLError, OSError, KeyError, HTTPError, jsonschema.exceptions.ValidationError, Exception: Various errors during fetching or parsing. """ collections = fetch_and_parse_file(str(self.stac_file), self.headers) for collection in collections["collections"]: self.schema = "" self.validate_dict(collection) def validate_item_collection(self) -> None: """ Validate a STAC Item Collection with optional pagination. Raises: URLError, JSONDecodeError, ValueError, TypeError, FileNotFoundError, ConnectionError, exceptions.SSLError, OSError, KeyError, HTTPError, jsonschema.exceptions.ValidationError, Exception: Various errors during fetching or parsing. """ page = 1 print(f"processing page {page}") item_collection = fetch_and_parse_file(str(self.stac_file), self.headers) self.validate_item_collection_dict(item_collection) try: if self.pages is not None: for _ in range(self.pages - 1): if "links" in item_collection: for link in item_collection["links"]: if link["rel"] == "next": page += 1 print(f"processing page {page}") next_link = link["href"] self.stac_file = next_link item_collection = fetch_and_parse_file( str(self.stac_file), self.headers ) self.validate_item_collection_dict(item_collection) break except Exception as e: message = { "pagination_error": ( f"Validating the item collection failed on page {page}: {str(e)}" ) } self.message.append(message) def pydantic_validator(self, stac_type: str) -> Dict: """ Validate STAC content using Pydantic models. Args: stac_type (str): The STAC object type (e.g., "ITEM", "COLLECTION", "CATALOG"). Returns: dict: A dictionary containing validation results. """ message = self.create_message(stac_type, "pydantic") message["schema"] = [""] try: # Import dependencies from pydantic import ValidationError # type: ignore from stac_pydantic import Catalog, Collection, Item # type: ignore from stac_pydantic.extensions import validate_extensions # type: ignore # Validate based on STAC type if stac_type == "ITEM": item_model = Item.model_validate(self.stac_content) message["schema"] = ["stac-pydantic Item model"] self._validate_extensions(item_model, message, validate_extensions) elif stac_type == "COLLECTION": collection_model = Collection.model_validate(self.stac_content) message["schema"] = [ "stac-pydantic Collection model" ] # Fix applied here self._validate_extensions( collection_model, message, validate_extensions ) elif stac_type == "CATALOG": Catalog.model_validate(self.stac_content) message["schema"] = ["stac-pydantic Catalog model"] else: raise ValueError( f"Unsupported STAC type for Pydantic validation: {stac_type}" ) self.valid = True message["model_validation"] = "passed" except ValidationError as e: self.valid = False error_details = [ f"{' -> '.join(map(str, error.get('loc', [])))}: {error.get('msg', '')}" for error in e.errors() ] error_message = f"Pydantic validation failed for {stac_type}: {'; '.join(error_details)}" message.update( self.create_err_msg( err_type="PydanticValidationError", err_msg=error_message, error_obj=e, ) ) except Exception as e: self.valid = False message.update( self.create_err_msg( err_type="PydanticValidationError", err_msg=str(e), error_obj=e ) ) return message def _validate_extensions(self, model, message: Dict, validate_extensions) -> None: """ Validate extensions for a given Pydantic model. Args: model: The Pydantic model instance. message (dict): The validation message dictionary to update. validate_extensions: The function to validate extensions. """ if ( "stac_extensions" in self.stac_content and self.stac_content["stac_extensions"] ): extension_schemas = [] validate_extensions(model, reraise_exception=True) for ext in self.stac_content["stac_extensions"]: extension_schemas.append(ext) message["extension_schemas"] = extension_schemas def run(self) -> bool: """ Run the STAC validation process based on the input parameters. Returns: bool: True if the STAC is valid, False otherwise. Raises: URLError, JSONDecodeError, ValueError, TypeError, FileNotFoundError, ConnectionError, exceptions.SSLError, OSError, KeyError, HTTPError, jsonschema.exceptions.ValidationError, Exception: Various errors during fetching or parsing. """ message = {} try: # Fetch STAC content if not provided via item_collection/collections if ( self.stac_file is not None and not self.item_collection and not self.collections ): self.stac_content = fetch_and_parse_file(self.stac_file, self.headers) stac_type = get_stac_type(self.stac_content).upper() version = self.stac_content.get("stac_version", "") # Validate stac_version field comprehensively version_valid, version_error_type, version_error_msg = ( validate_stac_version_field(self.stac_content) ) if not version_valid: message.update( self.create_err_msg( err_type=version_error_type, err_msg=version_error_msg, schema_uri="", version=version, # Pass the version we extracted ) ) self.message.append(message) return self.valid self.version = version if self.core: message = self.create_message(stac_type, "core") self.core_validator(stac_type) display_path = self._original_schema_paths.get(self.schema, self.schema) message["schema"] = [display_path] self.valid = True elif self.schema: message = self.create_message(stac_type, "custom") display_path = self._original_schema_paths.get(self.schema, self.schema) message["schema"] = [display_path] self.custom_validator() self.valid = True elif self.recursive: self.valid = self.recursive_validator(stac_type) elif self.extensions: message = self.extensions_validator(stac_type) elif self.pydantic: message = self.pydantic_validator(stac_type) else: self.valid = True message = self.default_validator(stac_type) except jsonschema.exceptions.ValidationError as e: # Improve error message for collection field validation err_msg = e.message if ( e.validator == "not" and list(e.absolute_path) == ["collection"] and "collection" in self.stac_content ): # Check if item has a collection link has_collection_link = False for link in self.stac_content.get("links", []): if link.get("rel") == "collection": has_collection_link = True break if not has_collection_link: err_msg = ( "Item has a 'collection' field but is missing a link with rel='collection'. " "According to STAC v1.0.0 spec, items with a collection field must have a " "corresponding link. Either remove the 'collection' field or add a link with " "rel='collection' pointing to the collection." ) if e.absolute_path: err_msg = ( f"{err_msg}. Error is in " f"{' -> '.join([str(i) for i in e.absolute_path])} " ) message.update( self.create_err_msg( err_type="JSONSchemaValidationError", err_msg=err_msg, error_obj=e ) ) except ( URLError, JSONDecodeError, ValueError, TypeError, FileNotFoundError, ConnectionError, exceptions.SSLError, OSError, KeyError, HTTPError, ) as e: message.update( self.create_err_msg( err_type=type(e).__name__, err_msg=str(e), error_obj=e ) ) except Exception as e: message.update( self.create_err_msg(err_type="Exception", err_msg=str(e), error_obj=e) ) if message: message["valid_stac"] = self.valid self.message.append(message) # Write out log if path is provided if self.log: with open(self.log, "w") as f: f.write(json.dumps(self.message, indent=4)) # filter message to only show errors if valid is False unless trace_recursion mode is on if self.recursive and not self.valid and not self.trace_recursion: filtered_messages = [] for message in self.message: if not message["valid_stac"]: filtered_messages.append(message) self.message = filtered_messages return self.valid stac-validator-4.2.2/tests/000077500000000000000000000000001517436701200156045ustar00rootroot00000000000000stac-validator-4.2.2/tests/__init__.py000066400000000000000000000000001517436701200177030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_assets.py000066400000000000000000000123171517436701200205230ustar00rootroot00000000000000""" Description: Test --assets option """ import json from stac_validator import stac_validator def test_assets_v090(): stac_file = "tests/test_data/v090/items/CBERS_4_bad_links.json" stac = stac_validator.StacValidate(stac_file, assets=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/items/CBERS_4_bad_links.json", "schema": [ "https://cdn.staclint.com/v0.9.0/extension/view.json", "https://cdn.staclint.com/v0.9.0/item.json", ], "valid_stac": False, "error_type": "JSONSchemaValidationError", "failed_schema": "https://cdn.staclint.com/v0.9.0/extension/view.json", "error_message": "-0.00751271 is less than the minimum of 0. Error is in properties -> view:off_nadir ", "recommendation": "For more accurate error information, rerun with --verbose.", "validation_method": "default", "assets_validated": { "format_valid": [ "https://s3.amazonaws.com/cbers-meta-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106.jpg", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.xml", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND5.tif", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.tif", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND7.tif", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND8.tif", ], "format_invalid": [], "request_valid": [], "request_invalid": [ "https://s3.amazonaws.com/cbers-meta-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106.jpg", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.xml", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND5.tif", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.tif", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND7.tif", "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND8.tif", ], }, } ] def test_assets_v100(): stac_file = "tests/test_data/v100/simple-item.json" stac = stac_validator.StacValidate(stac_file, assets=True) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/simple-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", "assets_validated": { "format_valid": [ "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_test.tif", "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_test.jpg", ], "format_invalid": [], "request_valid": [], "request_invalid": [ "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_test.tif", "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_test.jpg", ], }, } ] def test_assets_v100_no_links(): stac_file = "tests/test_data/v100/simple-item.json" stac = stac_validator.StacValidate(stac_file, assets=True, assets_open_urls=False) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/simple-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", "assets_validated": { "format_valid": [ "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_test.tif", "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_test.jpg", ], "format_invalid": [], "request_valid": [], "request_invalid": [], }, } ] def test_assets_on_collection_without_assets_ok(): stac_file = "tests/test_data/v100/collection.json" stac = stac_validator.StacValidate(stac_file, assets=True) is_valid = stac.run() assert is_valid, json.dumps(stac.message, indent=4) stac-validator-4.2.2/tests/test_batch_validator.py000066400000000000000000000302211517436701200223410ustar00rootroot00000000000000"""Tests for batch validator module.""" import json from pathlib import Path from unittest.mock import patch import pytest from stac_validator.batch_validator import ( _validate_single_file, get_optimal_worker_count, validate_concurrently, validate_dicts, ) @pytest.fixture def test_items_dir(): """Get path to test items directory.""" return Path(__file__).parent / "test_data" / "v110" def test_get_optimal_worker_count(): """Test worker count calculation.""" import multiprocessing import os # Get total cores using the same logic as get_optimal_worker_count() try: if hasattr(os, "sched_getaffinity"): # Linux: respects Docker/container CPU limits total_cores = len(os.sched_getaffinity(0)) else: # Fallback for non-Linux systems total_cores = multiprocessing.cpu_count() except Exception: # Fallback if anything goes wrong total_cores = multiprocessing.cpu_count() # Test auto-detect assert get_optimal_worker_count(None) == total_cores assert get_optimal_worker_count(0) == total_cores # Test specific count assert get_optimal_worker_count(4) == min(4, total_cores) # Test negative (reserve cores) assert get_optimal_worker_count(-1) == max(1, total_cores - 1) assert get_optimal_worker_count(-2) == max(1, total_cores - 2) # Test capping at available cores assert get_optimal_worker_count(1000) == total_cores def test_validate_single_file(test_items_dir): """Test validation of a single file.""" item_path = str(test_items_dir / "extended-item.json") file_path, is_valid, errors = _validate_single_file(item_path) assert file_path == item_path assert is_valid is True assert len(errors) == 0 def test_validate_single_file_invalid(test_items_dir): """Test validation of an invalid file.""" item_path = str(test_items_dir / "test-sar-item-invalid.json") file_path, is_valid, errors = _validate_single_file(item_path) assert file_path == item_path # This file may or may not be valid depending on schema # Just verify the function returns the expected structure assert isinstance(is_valid, bool) assert isinstance(errors, list) def test_validate_concurrently(test_items_dir): """Test concurrent validation of multiple files.""" files = [ str(test_items_dir / "extended-item.json"), str(test_items_dir / "simple-item.json"), str(test_items_dir / "collection.json"), ] results = validate_concurrently(files, max_workers=2, show_progress=False) assert len(results) == 3 assert all("path" in r for r in results) assert all("valid_stac" in r for r in results) # Check that at least some items are valid valid_count = sum(1 for r in results if r["valid_stac"]) assert valid_count >= 1 def test_validate_concurrently_single_file(test_items_dir): """Test concurrent validation with single file.""" files = [str(test_items_dir / "extended-item.json")] results = validate_concurrently(files, show_progress=False) assert len(results) == 1 assert results[0]["valid_stac"] is True def test_validate_concurrently_auto_cores(test_items_dir): """Test concurrent validation with auto-detected cores.""" files = [ str(test_items_dir / "extended-item.json"), str(test_items_dir / "simple-item.json"), ] # Use None to auto-detect cores results = validate_concurrently(files, max_workers=None, show_progress=False) assert len(results) == 2 assert all("valid_stac" in r for r in results) def test_validate_concurrently_no_progress(test_items_dir): """Test that progress bar can be disabled.""" files = [ str(test_items_dir / "extended-item.json"), str(test_items_dir / "simple-item.json"), ] # Should not raise even without tqdm results = validate_concurrently(files, show_progress=False) assert len(results) == 2 def test_validate_concurrently_result_format(test_items_dir): """Test that results have correct format.""" files = [str(test_items_dir / "extended-item.json")] results = validate_concurrently(files, show_progress=False) assert len(results) == 1 result = results[0] # Check required fields assert "path" in result assert "valid_stac" in result # Check optional fields if not result["valid_stac"]: assert "errors" in result def test_validate_feature_collection_files(test_items_dir): """Test validation of FeatureCollection files.""" import tempfile # Load items with open(test_items_dir / "extended-item.json") as f: item1 = json.load(f) with open(test_items_dir / "simple-item.json") as f: item2 = json.load(f) # Create FeatureCollection fc = {"type": "FeatureCollection", "features": [item1, item2]} # Write to temp file with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f: json.dump(fc, f) temp_file = f.name try: # Validate with feature_collection flag results = validate_concurrently( [temp_file], show_progress=False, feature_collection=True ) # Should have 2 results (one per feature) assert len(results) == 2 # Check path format includes feature indices (order may vary due to concurrent execution) paths = {result["path"] for result in results} assert any("[0]" in path for path in paths), f"Expected [0] in paths: {paths}" assert any("[1]" in path for path in paths), f"Expected [1] in paths: {paths}" # Both should be valid assert all(result["valid_stac"] is True for result in results) finally: import os os.unlink(temp_file) def test_validate_feature_collection_mixed_files(test_items_dir): """Test validation with mix of regular files and FeatureCollections.""" import tempfile # Load items with open(test_items_dir / "extended-item.json") as f: item1 = json.load(f) with open(test_items_dir / "simple-item.json") as f: item2 = json.load(f) # Create FeatureCollection fc = {"type": "FeatureCollection", "features": [item1, item2]} # Write to temp file with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f: json.dump(fc, f) temp_fc_file = f.name try: # Validate with feature_collection flag results = validate_concurrently( [temp_fc_file], show_progress=False, feature_collection=True ) # Should have 2 results from the FeatureCollection assert len(results) == 2 assert all(r["valid_stac"] for r in results) finally: import os os.unlink(temp_fc_file) def test_validate_dicts(test_items_dir): """Test validation of list of dictionaries.""" # Load items as dictionaries with open(test_items_dir / "extended-item.json") as f: item1 = json.load(f) with open(test_items_dir / "simple-item.json") as f: item2 = json.load(f) items = [item1, item2] # Validate using validate_dicts (handles temp files internally) results = validate_dicts(items, max_workers=2, show_progress=False) assert len(results) == 2 assert all("valid_stac" in r for r in results) assert all(r["valid_stac"] for r in results) def test_validate_dicts_with_feature_collection(test_items_dir): """Test validate_dicts with items from a FeatureCollection.""" # Load items as dictionaries with open(test_items_dir / "extended-item.json") as f: item1 = json.load(f) with open(test_items_dir / "simple-item.json") as f: item2 = json.load(f) items = [item1, item2] # Validate items (can be from any source including FeatureCollections) results = validate_dicts(items, max_workers=2, show_progress=False) assert len(results) == 2 assert all("valid_stac" in r for r in results) assert all(r["valid_stac"] for r in results) def test_validate_concurrently_with_read_errors(): """Test that validate_concurrently accumulates errors when feature_collection=True.""" import os import tempfile # Create valid STAC items for testing valid_item1 = { "stac_version": "1.1.0", "stac_extensions": [], "type": "Feature", "id": "test-item-1", "bbox": [0, 0, 1, 1], "geometry": { "type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], }, "properties": {"datetime": "2020-01-01T00:00:00Z"}, "links": [], "assets": {}, } valid_item2 = { "stac_version": "1.1.0", "stac_extensions": [], "type": "Feature", "id": "test-item-2", "bbox": [0, 0, 1, 1], "geometry": { "type": "Polygon", "coordinates": [[[0, 0], [1, 0], [1, 1], [0, 1], [0, 0]]], }, "properties": {"datetime": "2020-01-02T00:00:00Z"}, "links": [], "assets": {}, } temp_files = [] try: # Create a valid FeatureCollection file fc1 = {"type": "FeatureCollection", "features": [valid_item1]} with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f: json.dump(fc1, f) temp_files.append(f.name) # Create an invalid JSON file (will fail to parse) with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f: f.write("{invalid json content") temp_files.append(f.name) # Create another valid FeatureCollection file fc2 = {"type": "FeatureCollection", "features": [valid_item2]} with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f: json.dump(fc2, f) temp_files.append(f.name) # Validate with feature_collection flag - this tests error accumulation results = validate_concurrently( temp_files, show_progress=False, feature_collection=True ) # Should have 3 results: 1 from first FC, 1 error from invalid JSON, 1 from second FC assert len(results) == 3 # Check that we have both valid and invalid results valid_results = [r for r in results if r["valid_stac"]] invalid_results = [r for r in results if not r["valid_stac"]] assert ( len(valid_results) == 2 ), f"Expected 2 valid results, got {len(valid_results)}" assert ( len(invalid_results) == 1 ), f"Expected 1 invalid result, got {len(invalid_results)}" # Check that the error result has error information error_result = invalid_results[0] assert "errors" in error_result assert len(error_result["errors"]) > 0 assert "Failed to read file" in error_result["errors"][0] finally: # Clean up temp files for temp_file in temp_files: try: os.unlink(temp_file) except OSError: pass @patch("stac_validator.utilities.requests.get") def test_worker_schema_caching(mock_get, test_items_dir): """Test that schema caching prevents redundant network calls in worker processes. Verifies that when the same STAC item is validated twice in a worker process, the schema is only fetched once from the network, with subsequent validations using the cached schema. """ item_path = str(test_items_dir / "extended-item.json") # 1. First validation: Should trigger network requests for schemas _validate_single_file(item_path) calls_after_first = mock_get.call_count assert calls_after_first > 0, "Expected network calls on the first validation" # 2. Second validation: Same item, so schemas should be cached # Each worker process has its own isolated schema cache _validate_single_file(item_path) calls_after_second = mock_get.call_count # 3. Assertion: The call count should NOT have increased # If caching works, the second validation should not trigger new network calls assert calls_after_second == calls_after_first, ( f"Schemas were fetched again instead of using cache! " f"First run: {calls_after_first} calls, Second run: {calls_after_second} calls" ) stac-validator-4.2.2/tests/test_config.py000066400000000000000000000021751517436701200204670ustar00rootroot00000000000000from stac_validator.validate import StacValidate def test_validator_with_test_config(): validator = StacValidate( stac_file="tests/test_data/v100/core-item.json", schema_config="schema_config.yaml", ) valid = validator.run() assert valid # Optionally, check that the schema path in output is as expected assert validator.message[-1]["schema"] == ["local_schemas/v1.0.0/item.json"] def test_validator_with_test_config_eo(): validator = StacValidate( stac_file="tests/test_data/v100/extended-item.json", schema_config="schema_config.yaml", ) valid = validator.run() assert valid # Optionally, check that the schema path in output is as expected assert validator.message[-1]["schema"] == [ "local_schemas/v1.0.0/extensions/eo.json", "local_schemas/v1.0.0/extensions/projection.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", "local_schemas/v1.0.0/item.json", ] stac-validator-4.2.2/tests/test_core.py000066400000000000000000000156101517436701200201500ustar00rootroot00000000000000""" Description: Test the validator for core functionality without validating extensions """ from stac_validator import stac_validator def test_core_item_local_v080(): stac_file = "tests/test_data/v080/items/sample-full.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.8.0", "path": "tests/test_data/v080/items/sample-full.json", "asset_type": "ITEM", "validation_method": "core", "schema": ["https://cdn.staclint.com/v0.8.0/item.json"], "valid_stac": True, } ] def test_core_collection_remote_v090(): stac_file = "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json", "schema": ["https://cdn.staclint.com/v0.9.0/collection.json"], "asset_type": "COLLECTION", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v090(): stac_file = "tests/test_data/v090/items/good_item_v090.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/items/good_item_v090.json", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_extensions_v090(): stac_file = "tests/test_data/v090/items/CBERS_4.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/items/CBERS_4.json", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_bad_item_local_v090(): stac_file = "tests/test_data/bad_data/bad_item_v090.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/bad_data/bad_item_v090.json", "asset_type": "ITEM", "validation_method": "core", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "valid_stac": False, "error_type": "JSONSchemaValidationError", "failed_schema": "https://cdn.staclint.com/v0.9.0/item.json", "error_message": "'id' is a required property", "recommendation": "For more accurate error information, rerun with --verbose.", } ] def test_core_v1beta1(): stac_file = "tests/test_data/1beta1/sentinel2.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-beta.1", "path": "tests/test_data/1beta1/sentinel2.json", "schema": ["https://cdn.staclint.com/v1.0.0-beta.1/collection.json"], "asset_type": "COLLECTION", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v1beta2(): stac_file = "tests/test_data/1beta2/stac_item.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-beta.2", "path": "tests/test_data/1beta2/stac_item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-beta.2/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v1rc1(): stac_file = "tests/test_data/1rc1/collectionless-item.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/collectionless-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.1/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "core", "valid_stac": True, } ] def test_core_collection_local_v1rc1(): stac_file = "tests/test_data/1rc1/collection.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/collection.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.1/collection-spec/json-schema/collection.json" ], "asset_type": "COLLECTION", "validation_method": "core", "valid_stac": True, } ] def test_core_item_local_v100(): stac_file = "tests/test_data/v100/extended-item.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "core", } ] def test_core_collection_local_v110(): stac_file = "tests/test_data/v110/collection.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.1.0", "path": "tests/test_data/v110/collection.json", "schema": [ "https://schemas.stacspec.org/v1.1.0/collection-spec/json-schema/collection.json" ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "core", } ] def test_core_item_local_v110(): stac_file = "tests/test_data/v110/simple-item.json" stac = stac_validator.StacValidate(stac_file, core=True) stac.run() assert stac.message == [ { "version": "1.1.0", "path": "tests/test_data/v110/simple-item.json", "schema": [ "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "core", } ] stac-validator-4.2.2/tests/test_custom.py000066400000000000000000000155641517436701200205420ustar00rootroot00000000000000""" Description: Test the custom option for custom schemas """ from stac_validator import stac_validator def test_custom_item_remote_schema_v080(): schema = "https://cdn.staclint.com/v0.8.0/item.json" stac_file = "tests/test_data/v080/items/digitalglobe-sample.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "0.8.0", "path": "tests/test_data/v080/items/digitalglobe-sample.json", "schema": ["https://cdn.staclint.com/v0.8.0/item.json"], "asset_type": "ITEM", "validation_method": "custom", "valid_stac": False, "error_type": "JSONSchemaValidationError", "failed_schema": "https://cdn.staclint.com/v0.8.0/item.json", "error_message": "'bbox' is a required property", "recommendation": "For more accurate error information, rerun with --verbose.", } ] def test_custom_item_remote_schema_v090(): schema = "https://cdn.staclint.com/v0.9.0/catalog.json" stac_file = "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json", "schema": ["https://cdn.staclint.com/v0.9.0/catalog.json"], "asset_type": "COLLECTION", "validation_method": "custom", "valid_stac": True, } ] def test_custom_item_local_schema_v090(): schema = "tests/test_data/schema/v0.9.0/catalog.json" stac_file = "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/0.9.0/collection-spec/examples/landsat-collection.json", "schema": ["tests/test_data/schema/v0.9.0/catalog.json"], "asset_type": "COLLECTION", "validation_method": "custom", "valid_stac": True, } ] def test_custom_bad_item_remote_schema_v090(): schema = "https://cdn.staclint.com/v0.9.0/item.json" stac_file = "tests/test_data/bad_data/bad_item_v090.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "path": "tests/test_data/bad_data/bad_item_v090.json", "asset_type": "ITEM", "version": "0.9.0", "validation_method": "custom", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "valid_stac": False, "error_type": "JSONSchemaValidationError", "failed_schema": "https://cdn.staclint.com/v0.9.0/item.json", "error_message": "'id' is a required property", "recommendation": "For more accurate error information, rerun with --verbose.", } ] def test_custom_item_remote_schema_v1rc2(): schema = "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json" stac_file = "tests/test_data/1rc2/simple-item.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "path": "tests/test_data/1rc2/simple-item.json", "asset_type": "ITEM", "version": "1.0.0-rc.2", "validation_method": "custom", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json" ], "valid_stac": True, } ] def test_custom_item_v100_relative_schema(): schema = "../schema/v1.0.0/projection.json" stac_file = "tests/test_data/v100/extended-item-no-extensions.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item-no-extensions.json", "schema": ["../schema/v1.0.0/projection.json"], "valid_stac": True, "asset_type": "ITEM", "validation_method": "custom", } ] def test_custom_item_v100_relative_schema_embedded(): schema = "../../schema/v1.0.0/projection.json" stac_file = "tests/test_data/v100/embedded/extended-item-no-extensions.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/embedded/extended-item-no-extensions.json", "schema": ["../../schema/v1.0.0/projection.json"], "valid_stac": True, "asset_type": "ITEM", "validation_method": "custom", } ] def test_custom_item_v100_relative_schema_embedded_same_folder(): schema = "./projection.json" stac_file = "tests/test_data/v100/embedded/extended-item-no-extensions.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/embedded/extended-item-no-extensions.json", "schema": ["./projection.json"], "valid_stac": True, "asset_type": "ITEM", "validation_method": "custom", } ] def test_custom_item_v100_relative_schema_embedded_same_folder_2(): schema = "projection.json" stac_file = "tests/test_data/v100/embedded/extended-item-no-extensions.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/embedded/extended-item-no-extensions.json", "schema": ["projection.json"], "valid_stac": True, "asset_type": "ITEM", "validation_method": "custom", } ] def test_custom_item_v100_local_schema(): schema = "tests/test_data/schema/v1.0.0/projection.json" stac_file = "tests/test_data/v100/extended-item-no-extensions.json" stac = stac_validator.StacValidate(stac_file, custom=schema) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item-no-extensions.json", "schema": ["tests/test_data/schema/v1.0.0/projection.json"], "valid_stac": True, "asset_type": "ITEM", "validation_method": "custom", } ] stac-validator-4.2.2/tests/test_data/000077500000000000000000000000001517436701200175545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta1/000077500000000000000000000000001517436701200206315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta1/CBERS_4_MUX_20181029_177_106_L4.json000077500000000000000000000054201517436701200256530ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.1", "stac_extensions": [ "proj", "view", "https://example.com/stac/cbers-extension/1.0/schema.json" ], "id": "CBERS_4_MUX_20181029_177_106_L4", "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -64.800142, -5.815918 ], [ -63.719133, -5.979677 ], [ -63.488049, -4.915594 ], [ -64.566931, -4.752172 ], [ -64.800142, -5.815918 ] ] ] ] }, "bbox": [ -64.803413, -5.985958, -63.485124, -4.731829 ], "properties": { "datetime": "2018-10-29T14:24:54Z", "view:sun_azimuth": 111.113, "view:sun_elevation": 65.8018, "view:off_nadir": -0.00751271, "proj:epsg": 32763, "cbers:data_type": "L4", "cbers:path": 177, "cbers:row": 106 }, "collection": "CBERS_4_MUX", "links": [ { "rel": "self", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4.json" }, { "rel": "parent", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/catalog.json" }, { "rel": "collection", "href": "https://cbers-stac-0-6.s3.amazonaws.com/collections/CBERS_4_MUX_collection.json" } ], "assets": { "thumbnail": { "href": "https://s3.amazonaws.com/cbers-meta-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106.jpg", "type": "image/jpeg", "roles": [ "thumbnail" ] }, "metadata": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.xml", "title": "INPE original metadata", "type": "text/xml", "roles": [ "metadata" ] }, "B5": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND5.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "B6": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "B7": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND7.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "B8": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND8.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" } } } stac-validator-4.2.2/tests/test_data/1beta1/catalog-items.json000066400000000000000000000022171517436701200242570ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.1", "id": "hurricane-harvey-0831", "title": "Hurricane Harvey 08-31-2017", "description": "Planet Scenes and Composites for Hurricane Harvey on Aug 31, 2017", "links": [ { "rel": "self", "href": "https://storage.googleapis.com/pdd-stac/disasters/hurricane-harvey/0831/catalog.json" }, { "rel": "root", "href": "../../catalog.json" }, { "rel": "parent", "href": "../catalog.json" }, { "rel": "item", "href": "20170831_172754_101c.json", "title": "Planetscope Scene 20170831_172754_101c" }, { "rel": "item", "href": "20170831_195552_SS02.json", "title": "SkySat Collect 20170831_195552_SS02" }, { "rel": "item", "href": "20170831_195425_SS02.json", "title": "SkySat Collect 20170831_195425_SS02" }, { "rel": "item", "href": "20170831_162740_ssc1d1.json", "title": "SkySat Collect 20170831_162740_ssc1d1" }, { "rel": "item", "href": "Houston-East-20170831-103f-100d-0f4f-RGB.json", "title": "Houston East Composite August 31, 2017" } ] } stac-validator-4.2.2/tests/test_data/1beta1/catalog.json000066400000000000000000000005321517436701200231360ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "id": "NAIP", "description": "Catalog of NAIP Imagery", "links": [ { "rel": "self", "href": "https://www.fsa.usda.gov/naip/catalog.json" }, { "rel": "child", "href": "https://www.fsa.usda.gov/naip/30087/catalog.json" }, { "rel": "root", "href": "https://www.fsa.usda.gov/catalog.json" } ] }stac-validator-4.2.2/tests/test_data/1beta1/datetimerange.json000066400000000000000000000026001517436701200243330ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.1", "stac_extensions": [], "type":"Feature", "id":"half-moon-bay/video-2018-01-01-0001", "bbox":[ -122.44674682617188, 37.45551035774642, -122.41241455078125, 37.47077095413427 ], "geometry":{ "type":"Polygon", "coordinates":[ [ [ -122.44674682617188, 37.45551035774642 ], [ -122.41241455078125, 37.45551035774642 ], [ -122.41241455078125, 37.47077095413427 ], [ -122.44674682617188, 37.47077095413427 ], [ -122.44674682617188, 37.45551035774642 ] ] ] }, "properties":{ "datetime":"2018-01-01T13:21:30Z", "start_datetime":"2018-01-01T13:21:30Z", "end_datetime":"2018-01-01T13:31:30Z" }, "links":[ { "rel":"self", "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.json" } ], "assets":{ "video":{ "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.mpeg", "title":"10 minute drone video captured over Half Moon Bay, California, USA.", "type":"video/mpeg" }, "thumbnail":{ "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.jpg", "type":"image/jpeg", "title":"Thumbnail" } } } stac-validator-4.2.2/tests/test_data/1beta1/digitalglobe-sample.json000066400000000000000000000046731517436701200254430ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.1", "stac_extensions": [ "eo", "proj", "view", "https://example.digitalglobe.com/stac/1.0/schema.json" ], "id": "103001004B316600_P002_MUL", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ -105.160846396, 39.1656009422 ], [ -104.947574355, 39.1750024943 ], [ -104.949890373, 39.0512153242 ], [ -105.161151214, 39.0436821016 ], [ -105.160846396, 39.1656009422 ] ] ] }, "assets": { "multispectral_image": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIF" }, "imd": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.IMD" }, "imd_xml": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.XML" }, "til": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIL" }, "att": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.ATT" }, "eph": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.EPH" }, "geo": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.GEO" }, "rpb": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.RPB" }, "thumbnail": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.JPG", "roles": [ "thumbnail" ] } }, "properties": { "dg:feature_type": [ "GBDXCatalogRecord", "WV02", "DigitalGlobeProduct", "1BProduct" ], "view:sun_azimuth": 168.7, "eo:cloud_cover": 50, "view:off_nadir": 18.4, "view:azimuth": 34.5, "platform": "worldview02", "view:sun_elevation": 33.4, "gsd": 2.047, "proj:epsg": null, "dg:catalog_id": "103001004B316600", "dg:soli": "056823192", "dg:part": 2, "dg:platform": "worldview02", "dg:product_level": "LV1B", "dg:product": "worldview02_lv1b", "datetime": "2015-11-09T18:04:46.000Z" }, "collection": "dg_worldview02", "links": [ { "rel": "self", "href": "https://s3.amazonaws.com/digitalglobe-catalog-spec/collections/dg_worldview02_lv1b/103001004B316600_P002_MUL" }, { "rel": "collection", "href": "https://s3.amazonaws.com/digitalglobe-catalog-spec/collections/dg_worldview02_lv1b.json" } ] } stac-validator-4.2.2/tests/test_data/1beta1/landsat-collection.json000066400000000000000000000070231517436701200253050ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.1", "stac_extensions": [], "id": "landsat-8-l1", "title": "Landsat 8 L1", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "keywords": [ "landsat" ], "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2013-06-01T00:00:00Z", null ] ] } }, "providers": [ { "name": "USGS", "url": "https://landsat.usgs.gov/", "roles": [ "producer", "licensor" ] }, { "name": "Planet Labs", "url": "https://github.com/landsat-pds/landsat_ingestor", "roles": [ "processor" ] }, { "name": "AWS", "url": "https://landsatonaws.com/", "roles": [ "host" ] }, { "name": "Development Seed", "url": "https://developmentseed.org/", "roles": ["processor"] } ], "license": "PDDL-1.0", "summaries": { "platform": ["landsat-8"], "instruments": ["oli", "tirs"], "gsd": [30], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ] }, "links": [ { "rel": "self", "href": "https://landsat-stac.s3.amazonaws.com/landsat-8-l1/catalog.json" }, { "rel": "parent", "href": "https://landsat-stac.s3.amazonaws.com/catalog.json" }, { "rel": "root", "href": "https://landsat-stac.s3.amazonaws.com/catalog.json" }, { "rel": "child", "href": "https://landsat-stac.s3.amazonaws.com/landsat-8-l1/paths/catalog.json" } ] } stac-validator-4.2.2/tests/test_data/1beta1/landsat8-sample.json000066400000000000000000000163651517436701200245340ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.1", "stac_extensions": [ "eo", "view", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "id": "LC81530252014153LGN00", "type": "Feature", "bbox": [ 49.16354, 72.27502, 51.36812, 75.67662 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 51.33855, 72.27502 ], [ 51.36812, 75.70821 ], [ 49.19092, 75.67662 ], [ 49.16354, 72.3964 ], [ 51.33855, 72.27502 ] ] ] }, "collection": "landsat-8-l1", "properties": { "datetime": 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"CLD_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/CLD_20m.jp2", "title": "Cloud (20m)", "type": "image/jp2" }, "SNW_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/SNW_20m.jp2", "title": "Snow (20m)", "type": "image/jp2" } } }stac-validator-4.2.2/tests/test_data/1beta1/sentinel2.json000066400000000000000000000115401517436701200234300ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.1", "stac_extensions": [], "id": "COPERNICUS/S2", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "summaries": { "datetime": { "min": "2015-06-23T00:00:00Z", "max": "2019-07-10T13:44:56Z" }, "platform": ["sentinel-2a","sentinel-2b"], "constellation": ["sentinel-2"], "instruments": ["msi"], "view:off_nadir": { "min": 0.0, "max": 100 }, "view:sun_elevation": { "min": 6.78, "max": 89.9 }, "sci:citation": ["Copernicus Sentinel data [Year]"], "gsd": [10,30,60], "proj:epsg": [32601,32602,32603,32604,32605,32606,32607,32608,32609,32610,32611,32612,32613,32614,32615,32616,32617,32618,32619,32620,32621,32622,32623,32624,32625,32626,32627,32628,32629,32630,32631,32632,32633,32634,32635,32636,32637,32638,32639,32640,32641,32642,32643,32644,32645,32646,32647,32648,32649,32650,32651,32652,32653,32654,32655,32656,32657,32658,32659,32660], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "links": [ { "rel": "self", "href": "https://storage.cloud.google.com/earthengine-test/catalog/COPERNICUS_S2.json" }, { "rel": "parent", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "root", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/1beta2/000077500000000000000000000000001517436701200206325ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/CBERS_4.json000077500000000000000000000053251517436701200226160ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "projection", "view" ], "id": "CBERS_4_MUX_20181029_177_106_L4", "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -64.800142, -5.815918 ], [ -63.719133, -5.979677 ], [ -63.488049, -4.915594 ], [ -64.566931, -4.752172 ], [ -64.800142, -5.815918 ] ] ] ] }, "bbox": [ -64.803413, -5.985958, -63.485124, -4.731829 ], "properties": { "datetime": "2018-10-29T14:24:54Z", "view:sun_azimuth": 111.113, "view:sun_elevation": 65.8018, "view:off_nadir": 0.00751271, "proj:epsg": 32763, "cbers:data_type": "L4", "cbers:path": 177, "cbers:row": 106 }, "collection": "CBERS_4_MUX", "links": [ { "rel": "self", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4.json" }, { "rel": "parent", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/catalog.json" }, { "rel": "collection", "href": "https://cbers-stac-0-6.s3.amazonaws.com/collections/CBERS_4_MUX_collection.json" } ], "assets": { "thumbnail": { "href": "https://s3.amazonaws.com/cbers-meta-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106.jpg", "type": "image/jpeg", "roles": [ "thumbnail" ] }, "metadata": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.xml", "title": "INPE original metadata", "type": "text/xml", "roles": [ "metadata" ] }, "B5": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND5.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "B6": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "B7": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND7.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" }, "B8": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND8.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" } } } stac-validator-4.2.2/tests/test_data/1beta2/bad-sample-full.json000066400000000000000000000047731517436701200245050ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "eo", "view", "https://example.com/cs-extension/1.0/schema.json" ], "type": "Feature", "id" : "CS3-20160503_132131_05", "properties": { "datetime": "2016-05-03T13:22:30Z", "title": "A CS3 item", "license": "PDDL-1.0", "providers": [ { "name": "CoolSat", "roles": [ "producer", "licensor" ], "url": "https://cool-sat.com/" } ], "created": "2016-05-04T00:00:01Z", "updated": "2017-01-01T00:30:55Z", "view:sun_azimuth": 168.7, "eo:cloud_cover": 0.12, "view:off_nadir": 1.4, "platform": "coolsat2", "instruments": ["cool_sensor_v1"], "eo:bands": [ { "name": "band1" }, { "name": "band1" }, { "name": "band2" }, { "name": "band3" } ], "view:sun_elevation": 33.4, "gsd": 0.512, "cs:type": "scene", "cs:anomalous_pixels": 0.14, "cs:earth_sun_distance": 1.0141560, "cs:sat_id": "CS3", "cs:product_level": "LV1B" }, "collection": "CS3", "links": [ {"rel": "self", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.json"}, {"rel": "root", "href": "http://cool-sat.com/catalog/catalog.json"}, {"rel": "parent", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/catalog.json"}, {"rel": "collection", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/catalog.json"}, {"rel": "alternate", "type": "text/html", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.html"} ], "assets": { "analytic": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/analytic.tif", "title": "4-Band Analytic" }, "thumbnail": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/thumbnail.png", "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ] }, "udm": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/UDM.tif", "title": "Unusable Data Mask" }, "json-metadata": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": [ "metadata" ] }, "ephemeris": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/S3-20160503_132130_04.EPH", "title": "Satellite Ephemeris Metadata" } } } stac-validator-4.2.2/tests/test_data/1beta2/cat_1b2.json000066400000000000000000000016471517436701200227500ustar00rootroot00000000000000{ "id": "examples", "type": "Catalog", "stac_version": "1.0.0-beta.2", "description": "This catalog is a simple demonstration of an example catalog that is used to organize a hierarchy of collections and their items.", "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json" }, { "rel": "child", "href": "./extensions-collection/collection.json", "type": "application/json", "title": "Collection Demonstrating STAC Extensions" }, { "rel": "child", "href": "./collection-only/collection.json", "type": "application/json", "title": "Collection with no items (standalone)" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.2/examples/catalog.json", "type": "application/json" } ] }stac-validator-4.2.2/tests/test_data/1beta2/catalog.json000066400000000000000000000005331517436701200231400ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "id": "NAIP", "description": "Catalog of NAIP Imagery", "links": [ { "rel": "self", "href": "https://www.fsa.usda.gov/naip/catalog.json" }, { "rel": "child", "href": "https://www.fsa.usda.gov/naip/30087/catalog.json" }, { "rel": "root", "href": "https://www.fsa.usda.gov/catalog.json" } ] } stac-validator-4.2.2/tests/test_data/1beta2/datetimerange.json000066400000000000000000000026001517436701200243340ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [], "type":"Feature", "id":"half-moon-bay/video-2018-01-01-0001", "bbox":[ -122.44674682617188, 37.45551035774642, -122.41241455078125, 37.47077095413427 ], "geometry":{ "type":"Polygon", "coordinates":[ [ [ -122.44674682617188, 37.45551035774642 ], [ -122.41241455078125, 37.45551035774642 ], [ -122.41241455078125, 37.47077095413427 ], [ -122.44674682617188, 37.47077095413427 ], [ -122.44674682617188, 37.45551035774642 ] ] ] }, "properties":{ "datetime":"2018-01-01T13:21:30Z", "start_datetime":"2018-01-01T13:21:30Z", "end_datetime":"2018-01-01T13:31:30Z" }, "links":[ { "rel":"self", "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.json" } ], "assets":{ "video":{ "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.mpeg", "title":"10 minute drone video captured over Half Moon Bay, California, USA.", "type":"video/mpeg" }, "thumbnail":{ "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.jpg", "type":"image/jpeg", "title":"Thumbnail" } } } stac-validator-4.2.2/tests/test_data/1beta2/digitalglobe-sample.json000066400000000000000000000050251517436701200254340ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "eo", "projection", "view", "https://example.digitalglobe.com/stac/1.0/schema.json" ], "id": "103001004B316600_P002_MUL", "type": "Feature", "bbox": [ -105.161151214, 39.0436821016, -104.947574355, 39.1750024943 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -105.160846396, 39.1656009422 ], [ -104.947574355, 39.1750024943 ], [ -104.949890373, 39.0512153242 ], [ -105.161151214, 39.0436821016 ], [ -105.160846396, 39.1656009422 ] ] ] }, "assets": { "multispectral_image": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIF" }, "imd": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.IMD" }, "imd_xml": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.XML" }, "til": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIL" }, "att": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.ATT" }, "eph": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.EPH" }, "geo": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.GEO" }, "rpb": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.RPB" }, "thumbnail": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.JPG", "roles": [ "thumbnail" ] } }, "properties": { "dg:feature_type": [ "GBDXCatalogRecord", "WV02", "DigitalGlobeProduct", "1BProduct" ], "view:sun_azimuth": 168.7, "eo:cloud_cover": 50, "view:off_nadir": 18.4, "view:azimuth": 34.5, "platform": "worldview02", "view:sun_elevation": 33.4, "gsd": 2.047, "proj:epsg": null, "dg:catalog_id": "103001004B316600", "dg:soli": "056823192", "dg:part": 2, "dg:platform": "worldview02", "dg:product_level": "LV1B", "dg:product": "worldview02_lv1b", "datetime": "2015-11-09T18:04:46Z" }, "collection": "dg_worldview02", "links": [ { "rel": "self", "href": "https://s3.amazonaws.com/digitalglobe-catalog-spec/collections/dg_worldview02_lv1b/103001004B316600_P002_MUL" }, { "rel": "collection", "href": "https://s3.amazonaws.com/digitalglobe-catalog-spec/collections/dg_worldview02_lv1b.json" } ] }stac-validator-4.2.2/tests/test_data/1beta2/extensions/000077500000000000000000000000001517436701200230315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/README.md000066400000000000000000000326601517436701200243170ustar00rootroot00000000000000# Extensions This folder contains extensions to the SpatioTemporal Asset Catalog specification. The specification is designed for extension, defining just a minimal core. It is expected that most real world implementations will use several extensions to fully describe their data and API. Extensions can be changes in functionality or new fields. This can include new JSON files that are linked to from the core `links`, as well as new OpenAPI fragments. Extensions should include narrative explaining the fields, a comprehensive example and a JSON-Schema to validate compliance. Any data provider can create an extension, and when providers work together to share fields between them they can create a shared extension and include it in the STAC repository. Anyone is welcome to create an extension (see section 'Extending STAC'), and is encouraged to at least link to the extension from here. The third-party / vendor extension section is for the sharing of extensions. As third parties create useful extensions for their implementation it is expected that others will make use of it, and then evolve to make it a 'community extension', that several providers maintain together. For now anyone from the community is welcome to use this extensions/ folder of the stac-spec repository to collaborate. ## Extension Maturity Extensions in this directory are meant to evolve to maturity, and thus may be in different states in terms of stability and number of implementations. All extensions included must include a maturity classification, so that STAC spec users can easily get a sense of how much they can count on the extension. | Maturity Classification | Min Impl # | Description | Stability | | ----------------------- | ----------- | ----------- | --------- | | Proposal | 0 | An idea put forward by a community member to gather feedback | Not stable - breaking changes almost guaranteed as implementers try out the idea. | | Pilot | 1 | Idea is fleshed out, with examples and a JSON schema, and implemented in one or more catalogs. Additional implementations encouraged to help give feedback | Approaching stability - breaking changes are not anticipated but can easily come from additional feedback | | Candidate | 3 | A number of implementers are using it and are standing behind it as a solid extension. Can generally count on an extension at this maturity level | Mostly stable, breaking changes require a new version and minor changes are unlikely. | | Stable | 6 | Highest current level of maturity. The community of extension maintainers commits to a STAC review process for any changes, which are not made lightly. | Completely stable, all changes require a new version number and review process. | | Deprecated | N/A | A previous extension that has likely been superceded by a newer one or did not work out for some reason. | DO NOT USE, is not supported | Maturity mostly comes through diverse implementations, so the minimum number of implementations column is the main gating function for an extension to mature. But extension authors can also choose to hold back the maturity advancement if they don't feel they are yet ready to commit to the less breaking changes of the next level. A 'mature' classification level will likely be added once there are extensions that have been stable for over a year and are used in twenty or more implementations. ## List of content extensions An extension can add new fields to STAC entities (content extension), or can add new endpoints or behavior to the API (API extension). Below is a list of content extensions, while API extensions are published in the [STAC API repository](https://github.com/radiantearth/stac-api-spec/tree/master/extensions/). | Extension Title | Identifier | Field Name Prefix | Scope | Maturity | Description | | ------------------------------------------------ | ----------------- | ------------------- | ------------------------- | ---------- | ----------- | | [Checksum](checksum/README.md) | checksum | checksum | Item, Catalog, Collection | *Proposal* | Provides a way to specify file checksums for assets and links in Items, Catalogs and Collections. | | [Collection Assets](collection-assets/README.md) | collection-assets | - | Collection | *Proposal* | Provides a way to specify assets available on the collection-level. | | [Data Cube](datacube/README.md) | datacube | cube | Item, Collection | *Proposal* | Data Cube related metadata, especially to describe their dimensions. | | [Electro-Optical](eo/README.md) | eo | eo | Item | *Proposal* | Covers electro-optical data that represents a snapshot of the earth for a single date and time. It could consist of multiple spectral bands, for example visible bands, infrared bands, red edge bands and panchromatic bands. The extension provides common fields like bands, cloud cover, gsd and more. | | [Item Asset Definition](item-assets/README.md) | item-assets | - | Collection | *Proposal* | Provides a way to specify details about what assets may be found in Items belonging to a collection. | | [Label](label/README.md) | label | label | Item | *Proposal* | Items that relate labeled AOIs with source imagery | | [Point Cloud](pointcloud/README.md) | pointcloud | pc | Item | *Proposal* | Provides a way to describe point cloud datasets. The point clouds can come from either active or passive sensors, and data is frequently acquired using tools such as LiDAR or coincidence-matched imagery. | | [Projection](projection/README.md) | projection | proj | Item | *Proposal* | Provides a way to describe items whose assets are in a geospatial projection. | | [SAR](sar/README.md) | sar | sar | Item | *Proposal* | Covers synthetic-aperture radar data that represents a snapshot of the earth for a single date and time. | | [Satellite](sat/README.md) | sat | sat | Item | *Proposal* | Satellite related metadata for data collected from satellites. | | [Scientific](scientific/README.md) | scientific | sci | Item, Collection | *Proposal* | Scientific metadata is considered to be data that indicate from which publication data originates and how the data itself should be cited or referenced. | | [Single File STAC](single-file-stac/README.md) | single-file-stac | - | Catalog | *Proposal* | An extension to provide a set of Collections and Items within a single file catalog. | | [Tiled Assets](tiled-assets/README.md) | tiled-assets | tiles | Item, Catalog, Collection | *Proposal* | Allows to specify numerous assets using asset templates via tile matrices and dimensions. | | [Timestamps](timestamps/README.md) | timestamps | - | Item | *Proposal* | Allows to specify numerous timestamps for assets and metadata. | | [Versioning Indicators](version/README.md) | version | - | Item, Collection | *Proposal* | Provides fields and link relation types to provide a version and indicate deprecation. | | [View Geometry](view/README.md) | view | view | Item | *Proposal* | View Geometry adds metadata related to angles of sensors and other radiance angles that affect the view of resulting data | ## Third-party / vendor extensions The following extensions are provided by third parties (vendors). They tackle very specific use-cases and may be less stable than the official extensions. Once stable and adopted by multiple parties, extensions may be made official and incorporated in the STAC repository. Please contact a STAC maintainer or open a Pull Request to add your extension to this table. | Name | Scope | Description | Vendor | | -------- | ----- | ----------- | ------ | | None yet | | | | ## Proposed extensions The following extensions are proposed through the [STAC issue tracker](https://github.com/radiantearth/stac-spec/issues) and are considered to be implemented. If you would find any of these helpful or are considering to implement a similar extension, please get in touch through the referenced issues: - [Drone content Extension](https://github.com/radiantearth/stac-spec/issues/149) - [Full Motion Video Content Extension](https://github.com/radiantearth/stac-spec/issues/156) - [Storage Extensions](https://github.com/radiantearth/stac-spec/issues/148) - [gRPC STAC Extensions](https://github.com/radiantearth/stac-spec/issues/575) ## Extending STAC Anyone is welcome to create an extension. There are several types of extensions, some just add additional fields, some change the behaviour of STAC and some introduce completely new functionality. New extensions should try to align with existing extensions as good as possible and may even re-use fields and their definitions until they may get split into a new extension that combines commonly used fields across multiple extensions. Best practices for extension proposals are still emerging in this section. ### Prefixes A STAC Item can combine schema information from several different sources - the core STAC item information, an earth observation community extension, and a vendor specific provider. It can be difficult to distinguish exactly where each definition came from, and to pull out the most relevant information, especially when vendors often will dump in all the metadata they have in to the STAC definition. So one idea is to have prefixes to differentiate specific vendors (like `dg:` for DigitalGlobe), and for communities of practice (like `eo:` for Electro-Optical). These wouldn't be full namespacing, though an extension for like JSON-LD could potentially evolve to make fully resolved namespacing an option. An example of this can be seen in a Landsat example: ```js "properties": { "datetime":"2018-01-01T13:21:30Z", "start_datetime":"2018-01-01T13:21:30Z", "end_datetime":"2018-01-01T13:31:30Z", "view:off_nadir": -0.001, "eo:cloud_cover": 10.31, "view:sun_azimuth": 149.01607154, "view:sun_elevation": 59.21424700, "gsd": 30, "l8:data_type": "L1T", "l8:wrs_path": 153, "l8:wrs_row": 25, "l8:earth_sun_distance": 1.0141560, "l8:ground_control_points_verify": 114, "l8:geometric_rmse_model": 7.562, "l8:image_quality_tirs": 9, "l8:ground_control_points_model": 313, "l8:geometric_rmse_model_x": 5.96, "l8:geometric_rmse_model_y": 4.654, "l8:geometric_rmse_verify": 5.364, "l8:image_quality_oli": 9 } ``` ### Use of arrays and objects For content extensions, it is recommended to use use arrays only as true (potentially sorted) enumerations/lists without having additional meaning and to avoid objects whenever possible. For example, if one would like to define an extension to contain a start and a end date, there are multiple options (tl;dr: option **3** is recommended): 1. Define an object, for example: `"date_range": {"start": "2018-01-01", "end": "2018-01-31"}`. This is **discouraged** as it is more complex to search in objects. 2. Define an two-element array where the first element is the start date and the second element is the end date, for example `"date_range": ["2018-01-01", "2018-01-31"]`. This is **discouraged** as it would conflict with Collection `summaries`, which always considers arrays as true (potentially sorted) enumeration without any additional meaning. 3. Define two separate fields, e.g. `"date_range_start": "2018-01-01", "date_range_end": "2018-01-31"`. This is **recommended** as it avoids the conflicts above and is usually better displayed in software that only understands GeoJSON but has no clue about STAC. This is due to the fact that most legacy software can not display arrays or objects GeoJSON `properties` properly. This rules only applies to the fields defined directly for the Item's `properties`. For fields and structures defined on other levels (e.g. in the root of an Item or in an array), extension authors can freely define the structure. So an array of objects such as the `eo:bands` are fine to use, but keep in mind that the drawbacks mentioned above usually still apply. ### Directory Structure A STAC extension can have references to additional schemas within the extension schema. These files should be kept together in order to preserve relative `$ref` links. See the [EO](eo/) extension file structure as an example. * Specification examples should be stored in an `examples` directory. * The specification schema file(s) should be stored in a `json-schema` directory. Make sure to choose a meaningful identifier for the extension and use this value as the extension's directory name. The extension's identifier should be used in the `stac_extensions` field. Also, make sure to add the identifier to the enum defined for the `stac_extensions` field in the [JSON schema of the STAC catalog specification](../catalog-spec/json-schema/catalog.json). stac-validator-4.2.2/tests/test_data/1beta2/extensions/checksum/000077500000000000000000000000001517436701200246335ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/checksum/README.md000066400000000000000000000042451517436701200261170ustar00rootroot00000000000000# Checksum Extension Specification - **Title: Checksum** - **Identifier: checksum** - **Field Name Prefix: checksum** - **Scope: Item, Catalog, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** Provides a way to specify file checksums (e.g. BLAKE2, MD5, SHA1, SHA2, SHA3) for assets and links in STAC Items, STAC Catalogs and STAC Collections. The hashes are self-identifying hashes as described in the [Multihash specification](https://github.com/multiformats/multihash). - [Example](examples/sentinel1.json) - [JSON Schema](json-schema/schema.json) ## [`Link Object`](../../item-spec/item-spec.md#link-object) and [`Asset Object`](../../item-spec/item-spec.md#asset-object) fields | Field Name | Type | Description | | ------------------ | ------ | ------------------------------------------------------------ | | checksum:multihash | string | Multihash for the corresponding file, encoded as hexadecimal (base 16) string with lowercase letters. | This extension can OPTIONALLY be used with the [Collection Assets Extension](../collection-assets/README.md). Checksums MUST NOT be part of the [Item Assets Definition](../item-assets/README.md) in Collections. ### Examples Checksum for a text file with file content `test`. | Field Name | Algorithm | Example | | ------------------ | ------------------------------------- | ---------------------------------------------------------------------- | | checksum:multihash | sha1 (160 bits) | `1114a94a8fe5ccb19ba61c4c0873d391e987982fbbd3` | | checksum:multihash | sha2 (256 bits) | `12209f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08` | | checksum:multihash | sha2 (256 bits truncated to 160 bits) | `12149f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b` | | checksum:multihash | blake2b-128 | `90e4021044a8995dd50b6657a037a7839304535b` | ## Implementations None yet, still in proposal stage. stac-validator-4.2.2/tests/test_data/1beta2/extensions/checksum/examples/000077500000000000000000000000001517436701200264515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/checksum/examples/sentinel1.json000066400000000000000000000045061517436701200312530ustar00rootroot00000000000000{ "id": "S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616", "type": "Feature", "stac_version": "1.0.0-beta.2", "stac_extensions": [ "checksum" ], "bbox": [-70.275032,-64.72924,-65.087479,-51.105831], "geometry": { "type": "Polygon", "coordinates": [ [ [-67.071648,-64.72924], [-65.087479,-56.674374], [-68.033211,-51.105831], [-70.275032,-59.805672], [-67.071648,-64.72924] ] ] }, "properties": { "datetime": "2018-11-03T23:58:55Z" }, "assets": { "noises": { "href": "./annotation/calibration/noise-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Calibration Schema", "type": "text/xml", "checksum:multihash": "90e40210a30d1711e81a4b11ef67b28744321659" }, "calibrations": { "href": "./annotation/calibration/calibration-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Noise Schema", "type": "text/xml", "checksum:multihash": "90e402104fc5351af67db0b8f1746efe421a05e4" }, "products": { "href": "./annotation/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Product Schema", "type": "text/xml", "checksum:multihash": "90e402107a7f2588a85362b9beea2a12d4514d45" }, "measurement": { "href": "./measurement/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.tiff", "title": "Measurements", "type": "image/tiff", "sar:polarizations": ["HH"], "checksum:multihash": "90e40210163700a8a6501eccd00b6d3b44ddaed0" }, "thumbnail": { "href": "./preview/quick-look.png", "title": "Thumbnail", "type": "image/png", "checksum:multihash": "90e40210f52acd32b09769d3b1871b420789456c" } }, "links": [ { "rel": "self", "href": "https://example.com/collections/sentinel-1/items/S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616" }, { "rel": "parent", "href": "https://example.com/collections/sentinel-1", "checksum:multihash": "11146d97123fd2c02dec9a1b6d3b13136dbe600cf966" }, { "rel": "root", "href": "https://example.com/collections", "checksum:multihash": "1114fa4b9d69fdddc7c1be7bed9440621400b383b43f" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/checksum/json-schema/000077500000000000000000000000001517436701200270425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/checksum/json-schema/schema.json000066400000000000000000000044711517436701200312030ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/checksum/json-schema/schema.json#", "title": "Checksum Extension Specification", "description": "STAC Checksum Extension to a STAC Item", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/checksum_links" }, { "$ref": "#/definitions/checksum_assets" } ] }, { "allOf": [ { "$ref": "../../../catalog-spec/json-schema/catalog.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/checksum_links" } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/checksum_links" }, { "$ref": "#/definitions/checksum_assets" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "checksum", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/checksum/json-schema/schema.json" ] } } } }, "checksum_links": { "type": "object", "properties": { "links": { "type": "array", "items": { "$ref": "#/definitions/checksums" } } } }, "checksum_assets": { "type": "object", "properties": { "assets": { "type": "object", "patternProperties": { ".+": { "$ref": "#/definitions/checksums" } } } } }, "checksums": { "type": "object", "properties": { "checksum:multihash": { "type": "string", "pattern": "^[a-f0-9]+$", "title": "Multihash" } } } } } stac-validator-4.2.2/tests/test_data/1beta2/extensions/collection-assets/000077500000000000000000000000001517436701200264645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/collection-assets/README.md000066400000000000000000000046041517436701200277470ustar00rootroot00000000000000# Collection Assets Extension Specification - **Title: Collection Assets** - **Identifier: collection-assets** - **Field Name Prefix: -** - **Scope: Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** A Collection extension to provide a way to specify assets available on the collection-level. - [Example](examples/example-esm.json) - [JSON Schema](json-schema/schema.json) This extension introduces a single new field, `assets` at the top level of a collection. An Asset Object defined at the Collection level is the same as the [Asset Object in Items](../../item-spec/item-spec.md#asset-object). Collection-level assets SHOULD NOT list any files also available in items. If possible, item-level assets are always the preferable way to expose assets. To list what assets are available in items see the [Item Assets Definition Extension](../item-assets/README.md). Collection-level assets can be useful in some scenarios, for example: 1. Exposing additional data that applies collection-wide and you don't want to expose it in each Item. This can be collection-level metadata or a thumbnail for visualization purposes. 2. Individual items can't properly be distinguished for some data structures, e.g. [Zarr](https://zarr.readthedocs.io/) as it's a data structure not contained in single files. 3. Exposing assets for "[Standalone Collections](https://github.com/radiantearth/stac-spec/blob/master/collection-spec/collection-spec.md#standalone-collections)". ## Collection fields | Field Name | Type | Description | | ---------- | ---------------------------------------------------------------------- | ----------- | | assets | Map | **REQUIRED.** Dictionary of asset objects that can be downloaded, each with a unique key. | **assets**: In general, the keys don't have any meaning and are considered to be non-descriptive unique identifiers. Providers may assign any meaning to the keys for their respective use cases, but must not expect that clients understand them. To communicate the purpose of an asset better use the `roles` field in the [Asset Object](../../item-spec/item-spec.md#asset-object). ## Implementations - The [ESM collection spec](https://github.com/NCAR/esm-collection-spec) uses this extension to expose Zarr archives. stac-validator-4.2.2/tests/test_data/1beta2/extensions/collection-assets/examples/000077500000000000000000000000001517436701200303025ustar00rootroot00000000000000bad-example-esm.json000066400000000000000000000061671517436701200340710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/collection-assets/examples{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "collectionassets", "https://github.com/NCAR/esm-collection-spec/tree/v0.2.0/schema.json" ], "id": "pangeo-cmip6", "title": "Google CMIP6", "description": "This is an ESM collection for CMIP6 Zarr data residing in Pangeo's Google Storage.", "extent": { "spatial": { "bbox": [[-180, -90, 180, 90]] }, "temporal": { "interval": [["1850-01-15T12:00:00Z", "2014-12-15T12:00:00Z"]] } }, "providers": [ { "name": " World Climate Research Programme", "roles": ["producer","licensor"], "url": "https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6" }, { "name": "The Pangeo Project", "roles": ["processor"], "url": "https://console.cloud.google.com/pangeo.io" }, { "name": "Google", "roles": ["host"], "url": "https://console.cloud.google.com/marketplace/details/noaa-public/cmip6" } ], "license": "proprietary", "links": [ { "href": "https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html", "type": "text/html", "rel": "license", "title": "CMIP6: Terms of Use" } ], "assets": { "thumbnail": { "href": "logo.png", "title": "A preview image for visualization.", "type": "image/png", "roles": ["thumbnail"] }, "catalog": { "href": "sample-pangeo-cmip6-zarr-stores.csv", "title": "Catalog", "description": "Path to a the CSV file with the catalog contents.", "type": "text/csv", "roles": ["esm-catalog"], "esm:column_name": "path" }, "activity_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_activity_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "activity_id" }, "source_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_source_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "source_id" }, "institution_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_institution_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "institution_id" }, "experiment_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_experiment_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "experiment_id" }, "table_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_table_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "table_id" }, "grid_label": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_grid_label.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "grid_label" } }, "esm:attributes": ["activity_id", "source_id", "institution_id", "experiment_id", "member_id", "table_id", "variable_id", "grid_label"] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/collection-assets/examples/example-esm.json000066400000000000000000000061701517436701200334160ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "collection-assets", "https://github.com/NCAR/esm-collection-spec/tree/v0.2.0/schema.json" ], "id": "pangeo-cmip6", "title": "Google CMIP6", "description": "This is an ESM collection for CMIP6 Zarr data residing in Pangeo's Google Storage.", "extent": { "spatial": { "bbox": [[-180, -90, 180, 90]] }, "temporal": { "interval": [["1850-01-15T12:00:00Z", "2014-12-15T12:00:00Z"]] } }, "providers": [ { "name": " World Climate Research Programme", "roles": ["producer","licensor"], "url": "https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6" }, { "name": "The Pangeo Project", "roles": ["processor"], "url": "https://console.cloud.google.com/pangeo.io" }, { "name": "Google", "roles": ["host"], "url": "https://console.cloud.google.com/marketplace/details/noaa-public/cmip6" } ], "license": "proprietary", "links": [ { "href": "https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html", "type": "text/html", "rel": "license", "title": "CMIP6: Terms of Use" } ], "assets": { "thumbnail": { "href": "logo.png", "title": "A preview image for visualization.", "type": "image/png", "roles": ["thumbnail"] }, "catalog": { "href": "sample-pangeo-cmip6-zarr-stores.csv", "title": "Catalog", "description": "Path to a the CSV file with the catalog contents.", "type": "text/csv", "roles": ["esm-catalog"], "esm:column_name": "path" }, "activity_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_activity_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "activity_id" }, "source_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_source_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "source_id" }, "institution_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_institution_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "institution_id" }, "experiment_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_experiment_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "experiment_id" }, "table_id": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_table_id.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "table_id" }, "grid_label": { "href": "https://raw.githubusercontent.com/WCRP-CMIP/CMIP6_CVs/master/CMIP6_grid_label.json", "type": "application/json", "roles": ["esm-vocabulary"], "esm:column_name": "grid_label" } }, "esm:attributes": ["activity_id", "source_id", "institution_id", "experiment_id", "member_id", "table_id", "variable_id", "grid_label"] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/collection-assets/json-schema/000077500000000000000000000000001517436701200306735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/collection-assets/json-schema/schema.json000066400000000000000000000016531517436701200330330ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/collection-assets/json-schema/schema.json#", "title": "Collection Assets Extension Specification", "description": "STAC Collection-level assets Extension to a STAC Collection", "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "type": "object", "required": [ "stac_extensions", "assets" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "collection-assets", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/collection-assets/json-schema/schema.json" ] } }, "assets": { "$ref": "../../../item-spec/json-schema/item.json#/definitions/assets" } } } ] }stac-validator-4.2.2/tests/test_data/1beta2/extensions/datacube/000077500000000000000000000000001517436701200246015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/datacube/README.md000066400000000000000000000210061517436701200260570ustar00rootroot00000000000000# Data cube Extension Specification - **Title: Data Cube** - **Identifier: datacube** - **Field Name Prefix: cube** - **Scope: Item, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** Data cube related metadata, especially to describe their dimensions. - Examples: - [Item](examples/example-item.json) - [Collection](examples/example-collection.json) - [JSON Schema](json-schema/schema.json) ## Item Fields | Field Name | Type | Description | | --------------- | -------------------------------------------------- | ------------------------------------------- | | cube:dimensions | Map | **REQUIRED.** Uniquely named dimensions of the data cube. | ### Dimension Object A *Dimension Object* comes in different flavors, each of them is defined below. The fields define mostly very similar fields, but they differ slightly depending on their use case. All objects share the fields `type` and `description` with the same definition, but `type` may be restricted to certain values. The definition of`axis` is shared between the spatial dimensions, but restricted to certain values, too. `extent`, `values` and `step` share the same definition, but differ in the supported data types (number or string) depending on the type of dimension. Whenever it's useful to specify these fields, the objects add the additional fields `reference_system` and `unit` with very similar definitions across the objects. ### Horizontal Spatial Dimension Object A spatial dimension in one of the horizontal (x or y) directions. | Field Name | Type | Description | | ---------------- | -------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Type of the dimension, always `spatial`. | | axis | string | **REQUIRED.** Axis of the spatial dimension (`x`, `y`). | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | \[number] | **REQUIRED.** Extent (lower and upper bounds) of the dimension as two-dimensional array. Open intervals with `null` are not allowed. | | values | \[number] | Optionally, a set of all potential values. | | step | number\|null | The space between the values. Use `null` for irregularly spaced steps. | | reference_system | string\|number\|object | The spatial reference system for the data, specified as [EPSG code](http://www.epsg-registry.org/), [WKT2 (ISO 19162) string](http://docs.opengeospatial.org/is/18-010r7/18-010r7.html), [PROJJSON](https://proj.org/specifications/projjson.html) or [PROJ definition](https://proj.org/usage/quickstart.html). Defaults to EPSG code 4326. | ### Vertical Spatial Dimension Object A spatial dimension in vertical (z) direction. | Field Name | Type | Description | | ---------------- | ---------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Type of the dimension, always `spatial`. | | axis | string | **REQUIRED.** Axis of the spatial dimension, always `z`. | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | \[number\|null\] | If the dimension consists of [ordinal](https://en.wikipedia.org/wiki/Level_of_measurement#Ordinal_scale) values, the extent (lower and upper bounds) of the values as two-dimensional array. Use `null` for open intervals. | | values | \[number\|string\] | A set of all potential values, especially useful for [nominal](https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level) values. | | step | number\|null | If the dimension consists of [interval](https://en.wikipedia.org/wiki/Level_of_measurement#Interval_scale) values, the space between the values. Use `null` for irregularly spaced steps. | | unit | string | The unit of measurement for the data, preferably the symbols from [SI](https://physics.nist.gov/cuu/Units/units.html) or [UDUNITS](https://ncics.org/portfolio/other-resources/udunits2/). | | reference_system | string\|number\|object | The spatial reference system for the data, specified as [EPSG code](http://www.epsg-registry.org/), [WKT2 (ISO 19162) string](http://docs.opengeospatial.org/is/18-010r7/18-010r7.html), [PROJJSON](https://proj.org/specifications/projjson.html) or [PROJ definition](https://proj.org/usage/quickstart.html). Defaults to EPSG code 4326. | An Vertical Spatial Dimension Object MUST specify an `extent` or a set of `values`. It MAY specify both. ### Temporal Dimension Object A temporal dimension based on the ISO 8601 standard. The temporal reference system for the data is expected to be ISO 8601 compliant (Gregorian calendar / UTC). Data not compliant with ISO 8601 can be represented as an *Additional Dimension Object* with `type` set to `temporal`. | Field Name | Type | Description | | ---------- | --------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Type of the dimension, always `temporal`. | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | \[string\|null] | **REQUIRED.** Extent (lower and upper bounds) of the dimension as two-dimensional array. The dates and/or times must be strings compliant to [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601). `null` is allowed for open date ranges. | | values | \[string] | If the dimension consists of set of specific values they can be listed here. The dates and/or times must be strings compliant to [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601). | | step | string\|null | The space between the temporal instances as [ISO 8601 duration](https://en.wikipedia.org/wiki/ISO_8601#Durations), e.g. `P1D`. Use `null` for irregularly spaced steps. | ### Additional Dimension Object An additional dimension that is not `spatial`, but may be `temporal` if the data is not compliant with ISO 8601. | Field Name | Type | Description | | ---------------- | ----------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Custom type of the dimension, never `spatial`. | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | \[number\|null] | If the dimension consists of [ordinal](https://en.wikipedia.org/wiki/Level_of_measurement#Ordinal_scale) values, the extent (lower and upper bounds) of the values as two-dimensional array. Use `null` for open intervals. | | values | \[number\|string] | A set of all potential values, especially useful for [nominal](https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level) values. | | step | number\|null | If the dimension consists of [interval](https://en.wikipedia.org/wiki/Level_of_measurement#Interval_scale) values, the space between the values. Use `null` for irregularly spaced steps. | | unit | string | The unit of measurement for the data, preferably the symbols from [SI](https://physics.nist.gov/cuu/Units/units.html) or [UDUNITS](https://ncics.org/portfolio/other-resources/udunits2/). | | reference_system | string | The reference system for the data. | An Additional Dimension Object MUST specify an `extent` or a set of `values`. It MAY specify both. ## Implementations openEO has multiple implementations. Some example collections: - [Sentinel-2 collection on openEO Google Earth Engine driver](https://earthengine.openeo.org/v0.4/collections/COPERNICUS/S2) (STAC 0.7.0) - [MODIS ST Drought collection on EURAC WCPS driver](https://openeo.eurac.edu/collections/MODIS_ST_DROUGHT) (STAC 0.7.0) stac-validator-4.2.2/tests/test_data/1beta2/extensions/datacube/examples/000077500000000000000000000000001517436701200264175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/datacube/examples/example-collection.json000066400000000000000000000057551517436701200331120ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "datacube" ], "id": "Sentinel2-L1C", "title": "Sentinel-2: MultiSpectral Instrument, Level-1C", "description": "Multi-dimensional Sentinel-2 data cube in a STAC collection.", "license": "proprietary", "extent": { "spatial": { "bbox": [ [-180,-56,180,83] ] }, "temporal": { "interval": [ ["2015-06-23T00:00:00Z","2019-07-10T13:44:56Z"] ] } }, "cube:dimensions": { "x": { "type": "spatial", "axis": "x", "extent": [-180,180], "reference_system": 3857 }, "y": { "type": "spatial", "axis": "y", "extent": [-56,83], "reference_system": 3857 }, "time": { "type": "temporal", "extent": ["2015-06-23T00:00:00Z","2019-07-10T13:44:56Z"], "step": "P5D" }, "spectral": { "type": "bands", "values": ["B1","B2","B3","B4","B5","B6","B7","B8","B8A","B9","B10","B11","B12","QA10","QA20","QA60"] } }, "summaries": { "datetime": { "min": "2015-06-23T00:00:00Z", "max": "2019-07-10T13:44:56Z" }, "gsd": [10,30,60], "eo:platform": ["sentinel-2a","sentinel-2b"], "eo:constellation": ["sentinel-2"], "eo:instrument": ["msi"], "proj:epsg": [3857], "eo:bands": [ [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] ] }, "links": [ { "rel": "self", "href": "https://example.sentinel2-hub.com/stac/example-collection.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/datacube/examples/example-item.json000066400000000000000000000043301517436701200317010ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "datacube" ], "id": "datacube-123", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "properties": { "title": "Multi-dimensional data cube 123 in a STAC Item.", "datetime": "2016-05-03T13:21:30.040Z", "cube:dimensions": { "x": { "type": "spatial", "axis": "x", "extent": [ -122.59750209, -122.2880486 ], "reference_system": 4326 }, "y": { "type": "spatial", "axis": "y", "extent": [ 37.48803556, 37.613537207 ], "reference_system": 4326 }, "pressure_levels": { "type": "spatial", "axis": "z", "extent": [ 0, 1000 ], "step": 100, "unit": "Pa" }, "metered_levels": { "type": "spatial", "axis": "z", "values": [ 0, 10, 25, 50, 100, 1000 ], "unit": "m" }, "time": { "type": "temporal", "values": ["2016-05-03T13:21:30.040Z"] }, "spectral": { "type": "bands", "values": [ "red", "green", "blue" ] } } }, "assets": { "data": { "href": "http://cool-sat.com/catalog/datacube-123/data.nc", "type": "application/netcdf", "title": "netCDF Data cube" }, "thumbnail": { "href": "http://cool-sat.com/catalog/datacube-123/thumbnail.png", "type": "image/png", "title": "Thumbnail" } }, "links": [ { "rel": "self", "href": "http://cool-sat.com/catalog/datacube-123/example-item.json" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/datacube/json-schema/000077500000000000000000000000001517436701200270105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/datacube/json-schema/schema.json000066400000000000000000000165461517436701200311570ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/datacube/json-schema/schema.json#", "title": "Data Cube Extension", "description": "STAC Data Cube Extension to STAC Items and STAC Collections", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/stac_extensions" }, { "type": "object", "required": [ "properties" ], "properties": { "properties": { "$ref": "#/definitions/datacube" } } } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/datacube" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "datacube", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/datacube/json-schema/schema.json" ] } } } }, "datacube": { "type": "object", "required": [ "cube:dimensions" ], "properties": { "cube:dimensions": { "type": "object", "additionalProperties": { "anyOf": [ { "$ref": "#/definitions/objects/additional_dimension" }, { "$ref": "#/definitions/objects/horizontal_spatial_dimension" }, { "$ref": "#/definitions/objects/vertical_spatial_dimension" }, { "$ref": "#/definitions/objects/temporal_dimension" } ] } } } }, "objects": { "additional_dimension": { "title": "Additional Dimension Object", "type": "object", "anyOf": [ { "required": [ "type", "extent" ] }, { "required": [ "type", "values" ] } ], "not": { "required": ["axis"] }, "properties": { "type": { "allOf": [ { "type": "string" }, { "not": { "type": "string", "const": "spatial" } } ] }, "description": { "$ref": "#/definitions/description" }, "extent": { "$ref": "#/definitions/extent_open" }, "values": { "$ref": "#/definitions/values" }, "step": { "$ref": "#/definitions/step" }, "unit": { "$ref": "#/definitions/unit" }, "reference_system": { "type": "string" } } }, "horizontal_spatial_dimension": { "title": "Horizontal Spatial Dimension Object", "type": "object", "required": [ "type", "axis", "extent" ], "properties": { "type": { "$ref": "#/definitions/type_spatial" }, "axis": { "$ref": "#/definitions/axis_xy" }, "description": { "$ref": "#/definitions/description" }, "extent": { "$ref": "#/definitions/extent_closed" }, "values": { "$ref": "#/definitions/values_numeric" }, "step": { "$ref": "#/definitions/step" }, "reference_system": { "$ref": "#/definitions/reference_system_spatial" } } }, "vertical_spatial_dimension": { "title": "Vertical Spatial Dimension Object", "type": "object", "anyOf": [ { "required": [ "type", "axis", "extent" ] }, { "required": [ "type", "axis", "values" ] } ], "properties": { "type": { "$ref": "#/definitions/type_spatial" }, "axis": { "$ref": "#/definitions/axis_z" }, "description": { "$ref": "#/definitions/description" }, "extent": { "$ref": "#/definitions/extent_open" }, "values": { "$ref": "#/definitions/values" }, "step": { "$ref": "#/definitions/step" }, "unit": { "$ref": "#/definitions/unit" }, "reference_system": { "$ref": "#/definitions/reference_system_spatial" } } }, "temporal_dimension": { "title": "Temporal Dimension Object", "type": "object", "required": [ "type", "extent" ], "not": { "required": ["axis"] }, "properties": { "type": { "type": "string", "const": "temporal" }, "description": { "$ref": "#/definitions/description" }, "values": { "type": "array", "minItems": 1, "items": { "type": "string" } }, "extent": { "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "string", "null" ] } }, "step": { "type": [ "string", "null" ] } } } }, "type_spatial": { "type": "string", "const": "spatial" }, "axis_xy": { "type": "string", "enum": [ "x", "y" ] }, "axis_z": { "type": "string", "const": "z" }, "extent_closed": { "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": "number" } }, "extent_open": { "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "number", "null" ] } }, "values_numeric": { "type": "array", "minItems": 1, "items": { "type": "number" } }, "values": { "type": "array", "minItems": 1, "items": { "oneOf": [ { "type": "number" }, { "type": "string" } ] } }, "step": { "type": [ "number", "null" ] }, "unit": { "type": "string" }, "reference_system_spatial": { "type": [ "string", "number", "object" ], "default": 4326 }, "description": { "type": "string" } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/eo/000077500000000000000000000000001517436701200234345ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/eo/README.md000066400000000000000000000141641517436701200247210ustar00rootroot00000000000000# Electro-Optical Extension Specification - **Title: Electro-Optical** - **Identifier: eo** - **Field Name Prefix: eo** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the STAC Electro-Optical (EO) Extension to a STAC Item. EO data is considered to be data that represents a snapshot of the earth for a single date and time. It could consist of multiple spectral bands in any part of the electromagnetic spectrum. Examples of EO data include sensors with visible, short-wave and mid-wave IR bands (e.g., the OLI instrument on Landsat-8), long-wave IR bands (e.g. TIRS aboard Landsat-8). If the data has been collected by a satellite, it is strongly recommended to use the [`sat` extension](../sat/README.md), which in turn requires the [Instrument Fields](../../item-spec/common-metadata.md#instrument). If the data has been collected on an airborne platform it is strongly recommended to use the [Instrument Fields](../../item-spec/common-metadata.md#instrument). For defining view geometry of data, it is strongly recommended to use the [`view` extension](../view/README.md). - Examples: - [Landsat 8 with bands in assets](examples/example-landsat8.json) - [Example with bands in Item properties](../../item-spec/examples/sample-full.json) - [Landsat 8 with bands in Item Asset Definition and Collection Summaries](../item-assets/examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) ## Item fields | Field Name | Type | Description | | -------------- | ------------------------------ | ----------- | | eo:bands | \[[Band Object](#band-object)] | This is a list of the available bands where each item is a [Band Object](#band-object). | | eo:cloud_cover | number | Estimate of cloud cover as a percentage (0-100) of the entire scene. If not available the field should not be provided. | **eo:bands**: In previous versions `eo:bands` was allowed to be used on the asset-level referencing via array indices to the actual bands in Item `properties`. Starting with STAC 1.0.0-beta.1 you are now allowed to place the full `eo:bands` array with all Band Object information in Item `assets` as described in general in the [STAC Item](../../item-spec/item-spec.md#additional-fields-for-assets). ### Band Object | Field Name | Type | Description | | ------------------- | ------ | ----------- | | name | string | The name of the band (e.g., "B01", "B02", "B1", "B5", "QA"). | | common_name | string | The name commonly used to refer to the band to make it easier to search for bands across instruments. See the [list of accepted common names](#common-band-names). | | description | string | Description to fully explain the band. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | center_wavelength | number | The center wavelength of the band, in micrometers (μm). | | full_width_half_max | number | Full width at half maximum (FWHM). The width of the band, as measured at half the maximum transmission, in micrometers (μm). | **full_width_half_max** (FWHM) is a common way to describe the size of a spectral band. It is the width, in micrometers (μm), of the bandpass measured at a half of the maximum transmission. Thus, if the maximum transmission of the bandpass was 80%, the FWHM is measured as the width of the bandpass at 40% transmission. #### Common Band Names The band's common_name is the name that is commonly used to refer to that band's spectral properties. The table below shows the common name based on the average band range for the band numbers of several popular instruments. | Common Name | Band Range (μm) | Landsat 5/7 | Landsat 8 | Sentinel 2 | MODIS | | ----------- | --------------- | ----------- | --------- | ---------- | ----- | | coastal | 0.40 - 0.45 | | 1 | 1 | | | blue | 0.45 - 0.50 | 1 | 2 | 2 | 3 | | green | 0.50 - 0.60 | 2 | 3 | 3 | 4 | | red | 0.60 - 0.70 | 3 | 4 | 4 | 1 | | yellow | 0.58 - 0.62 | | | | | | pan | 0.50 - 0.70 | 8 (*L7 only*) | 8 | | | | rededge | 0.70 - 0.75 | | | | | | nir | 0.75 - 1.00 | 4 | | 8 | 2 | | nir08 | 0.75 - 0.90 | | 5 | 8a | | | nir09 | 0.85 - 1.05 | | | 9 | | | cirrus | 1.35 - 1.40 | | 9 | 10 | 26 | | swir16 | 1.55 - 1.75 | 5 | 6 | 11 | 6 | | swir22 | 2.10 - 2.30 | 7 | 7 | 12 | 7 | | lwir | 10.5 - 12.5 | 6 | | | | | lwir11 | 10.5 - 11.5 | | 10 | | 31 | | lwir12 | 11.5 - 12.5 | | 11 | | 32 | The difference between the `nir`, `nir08`, and `nir09` bands are that the `nir` band is a wider band that covers most of the spectral range of 0.75μm to 1.0μm. `nir08` and `nir09` are narrow bands centered 0.85μm and 0.95μm respectively. The same goes for the difference between `lwir`, `lwir11` and `lwir12`. ## Implementations A number of implementations listed on [STAC Examples on stacspec.org](https://stacspec.org/#examples) are making use of the core EO properties, including the SpaceNet, CBERS, sat-api and Planet implementations. This is not marked as more mature because the eo:bands portion is still being fleshed out. ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to EO data: * the [Sat Extension Specification](../sat/README.md) to describe SAR data collected from a satellite. * the [View Geometry Extension Specification](../view/README.md) to describe angles of sensors collecting earth observation data from above the earth. stac-validator-4.2.2/tests/test_data/1beta2/extensions/eo/examples/000077500000000000000000000000001517436701200252525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/eo/examples/bad-example-landsat8.json000066400000000000000000000215071517436701200320450ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "pointcloud", "view", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "collection": "landsat-8-l1", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "platform": "landsat-8", "instrument": ["oli", "tirs"], "datetime": "2018-10-01T01:08:32.033Z", "gsd": 30, "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "view:off_nadir": 0, "landsat:path": 107, "landsat:row": 18 }, "assets": { "ANG": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_ANG.txt", "title": "Angle coefficients file", "type": "text/plain" }, "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 } ], "title": "Band 1 (coastal)" }, "B2": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 } ], "title": "Band 2 (blue)" }, "B3": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 } ], "title": "Band 3 (green)" }, "B4": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 } ], "title": "Band 4 (red)" }, "B5": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B5.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 } ], "title": "Band 5 (nir)" }, "B6": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B6.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 } ], "title": "Band 6 (swir16)" }, "B7": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B7.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 } ], "title": "Band 7 (swir22)" }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B8.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 } ], "title": "Band 8 (pan)" }, "B9": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B9.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 } ], "title": "Band 9 (cirrus)" }, "B10": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B10.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 } ], "title": "Band 10 (lwir)" }, "B11": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B11.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ], "title": "Band 11 (lwir)" }, "BQA": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_BQA.TIF", "title": "Band quality data", "type": "image/tiff; application=geotiff" }, "MTL": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_MTL.txt", "title": "original metadata file", "type": "text/plain" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "self", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/search?id=LC08_L1TP_107018_20181001_20181001_01_RT" }, { "rel": "parent", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/stac/collections/landsat-8-l1" }, { "rel": "root", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/stac" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/eo/examples/example-landsat8.json000066400000000000000000000215351517436701200313220ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "eo", "view", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "collection": "landsat-8-l1", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "platform": "landsat-8", "instrument": ["oli", "tirs"], "datetime": "2018-10-01T01:08:32.033Z", "gsd": 30, "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "view:off_nadir": 0, "landsat:path": 107, "landsat:row": 18, "eo:cloud_cover": 78 }, "assets": { "ANG": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_ANG.txt", "title": "Angle coefficients file", "type": "text/plain" }, "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 } ], "title": "Band 1 (coastal)" }, "B2": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 } ], "title": "Band 2 (blue)" }, "B3": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 } ], "title": "Band 3 (green)" }, "B4": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 } ], "title": "Band 4 (red)" }, "B5": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B5.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 } ], "title": "Band 5 (nir)" }, "B6": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B6.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 } ], "title": "Band 6 (swir16)" }, "B7": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B7.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 } ], "title": "Band 7 (swir22)" }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B8.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 } ], "title": "Band 8 (pan)" }, "B9": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B9.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 } ], "title": "Band 9 (cirrus)" }, "B10": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B10.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 } ], "title": "Band 10 (lwir)" }, "B11": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B11.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ], "title": "Band 11 (lwir)" }, "BQA": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_BQA.TIF", "title": "Band quality data", "type": "image/tiff; application=geotiff" }, "MTL": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_MTL.txt", "title": "original metadata file", "type": "text/plain" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "self", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/search?id=LC08_L1TP_107018_20181001_20181001_01_RT" }, { "rel": "parent", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/stac/collections/landsat-8-l1" }, { "rel": "root", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/stac" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/eo/json-schema/000077500000000000000000000000001517436701200256435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/eo/json-schema/schema.json000066400000000000000000000040051517436701200277750ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/eo/json-schema/schema.json#", "title": "EO Extension", "description": "STAC EO Extension to a STAC Item.", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/eo" } ], "definitions": { "eo": { "type": "object", "required": [ "stac_extensions", "properties", "assets" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "eo", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/eo/json-schema/schema.json" ] } }, "properties": { "type": "object", "properties": { "eo:bands": { "$ref": "#/definitions/bands" }, "eo:cloud_cover": { "title": "Cloud Cover", "type": "number", "minimum": 0, "maximum": 100 } } }, "assets": { "type": "object", "additionalProperties": { "type": "object", "properties": { "eo:bands": { "$ref": "#/definitions/bands" } } } } } }, "bands": { "title": "Bands", "type": "array", "minItems": 1, "items": { "properties": { "name": { "title": "Name of the band", "type": "string" }, "common_name": { "title": "Common Name of the band", "type": "string" }, "center_wavelength": { "title": "Center Wavelength", "type": "number" }, "full_width_half_max": { "title": "Full Width Half Max (FWHM)", "type": "number" } } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/item-assets/000077500000000000000000000000001517436701200252675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/item-assets/README.md000066400000000000000000000061031517436701200265460ustar00rootroot00000000000000# Item Assets Definition Specification - **Title: Item Assets Definition** - **Identifier: item-assets** - **Field Name Prefix: -** - **Scope: Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** A Collection extension to provide details about assets that are available in member Items. - [Example](examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) This extension serves two purposes: 1. Provide a human-readable definition of assets available in any Items belonging to this Collection so that the user can determine the key(s) of assets they are interested in. 2. Provide a way to programmatically determine what assets are available in any member Item. Otherwise a random Item needs to be examined to determine assets available, but a random Item may not be representative of the set. ## Collection fields This extension introduces a single new field, `item_assets` at the top level of a collection. An Asset Object defined at the Collection level is nearly the same as the [Asset Object in Items](../../item-spec/item-spec.md#asset-object), except for two differences. The `href` field is not required, because collections don't point to any data by themselves, but at least two other fields must be present. | Field Name | Type | Description | | ----------- | ------------------------------------------ | ----------- | | item_assets | Map | **REQUIRED.** A dictionary of assets that can be found in member Items | ### Asset Object An asset is an object that contains details about the datafiles that will be included in member Items. Assets included at the Collection level do not imply that all assets are available from all Items. However, it is recommended that the Asset Definition is a complete set of all assets that may be available from any member Items. | Field Name | Type | Description | | ----------- | --------- | ----------- | | title | string | The displayed title for clients and users. | | description | string | A description of the Asset providing additional details, such as how it was processed or created. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | type | string | [Media type](../../item-spec/item-spec.md#media-types) of the asset. | | roles | \[string] | The [semantic roles](../../item-spec/item-spec.md#asset-role-types) of the asset, similar to the use of `rel` in links. | Other custom fields, or fields from other extensions may also be included in the Asset object. At least two fields (e.g. `title` and `type`) are required to be provided, in order for it to adequately describe Item assets. The two fields must not necessarily be taken from the list above and may include any custom field. ## Implementations - AWS Public Dataset catalogs, [landsat-8](http://landsat-stac.s3.amazonaws.com/landsat-8-l1/catalog.json) and [sentinel-2](http://sentinel-stac.s3.amazonaws.com/sentinel-2-l1c/catalog.json) define an Asset definition at the collection level. stac-validator-4.2.2/tests/test_data/1beta2/extensions/item-assets/examples/000077500000000000000000000000001517436701200271055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/item-assets/examples/example-landsat8.json000066400000000000000000000160621517436701200331540ustar00rootroot00000000000000{ "id": "landsat-8-l1", "title": "Landsat 8 L1", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "keywords": [ "landsat", "earth observation", "usgs" ], "stac_version": "1.0.0-beta.2", "stac_extensions": [ "item-assets" ], "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2013-06-01T00:00:00Z", null ] ] } }, "providers": [ { "name": "USGS", "roles": [ "producer" ], "url": "https://landsat.usgs.gov/" }, { "name": "Planet Labs", "roles": [ "processor" ], "url": "https://github.com/landsat-pds/landsat_ingestor" }, { "name": "AWS", "roles": [ "host" ], "url": "https://landsatonaws.com/" }, { "name": "Development Seed", "roles": [ "processor" ], "url": "https://github.com/sat-utils/sat-api" } ], "license": "PDDL-1.0", "summaries": { "gsd": [15], "platform": ["landsat-8"], "instruments": [ "oli", "tirs" ], "view:off_nadir": [0], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ] }, "item_assets": { "thumbnail": { "type": "image/jpeg", "title": "Thumbnail", "description": "A medium sized thumbnail", "roles": [ "thumbnail" ] }, "metadata": { "type": "mtl", "roles": [ "metadata" ], "title": "Original Metadata", "description": "The original MTL metadata file provided for each Landsat scene" }, "B1": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 } ], "title": "Coastal Band (B1)", "description": "Coastal Band Top Of the Atmosphere" }, "B2": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 } ], "title": "Blue Band (B2)", "description": "Blue Band Top Of the Atmosphere" }, "B3": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 } ], "title": "Green Band (B3)", "description": "Green Band (B3) Top Of the Atmosphere" }, "B4": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 } ], "title": "Red Band (B4)", "description": "Red Band (B4) Top Of the Atmosphere" }, "B5": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 } ], "title": "NIR Band (B5)", "description": "NIR Band (B5) Top Of the Atmosphere" }, "B6": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 } ], "title": "SWIR Band (B6)", "description": "SWIR Band at 1.6um (B6) Top Of the Atmosphere" }, "B7": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 } ], "title": "SWIR Band (B7)", "description": "SWIR Band at 2.2um (B7) Top Of the Atmosphere" }, "B8": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 } ], "title": "Panchromatic Band (B8)", "description": "Panchromatic Band (B8) Top Of the Atmosphere" }, "B9": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 } ], "title": "Cirrus Band (B9)", "description": "Cirrus Band (B9) Top Of the Atmosphere - for cirrus cloud detection" }, "B10": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 } ], "title": "LWIR Band (B10)", "description": "Long-wave IR Band at 11um (B10) Top Of the Atmosphere" }, "B11": { "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ], "title": "LWIR Band (B11)", "description": "Long-wave IR Band at 12um (B11) Top Of the Atmosphere" } }, "links": [] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/item-assets/json-schema/000077500000000000000000000000001517436701200274765ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/item-assets/json-schema/schema.json000066400000000000000000000031371517436701200316350ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/item-assets/json-schema/schema.json#", "title": "Asset Definition Extension Specification", "description": "STAC Asset Definition Extension to a STAC Collection", "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/item_assets" } ], "definitions": { "item_assets": { "title": "Item Assets Definition", "type": "object", "required": [ "stac_extensions", "item_assets" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "item-assets", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/item-assets/json-schema/schema.json" ] } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/asset" } } } }, "asset": { "type": "object", "minProperties": 2, "properties": { "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/000077500000000000000000000000001517436701200241105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/README.md000066400000000000000000000313261517436701200253740ustar00rootroot00000000000000# Label Extension Specification - **Title: Label** - **Identifier: label** - **Field Name Prefix: label** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This extension is meant to support using labeled AOIs with Machine Learning models, particularly training data sets, but can be used in any application where labeled AOIs are needed. This document explains the fields of the STAC Label Extension to a STAC Item. It is used to describe labeled Areas of Interest (AOIs) that are used with earth observation imagery. These labels can take several forms, though all are expected to be contained with a GeoJSON `FeatureCollection`: - **Tile classification labels:** A GeoJSON `FeatureCollection` with a single `Feature`. This feature's geometry should match the bounds of the labeled image tile, and a `Feature` property should define the class (see below). - **Tile regression labels:** A GeoJSON `FeatureCollection` with a single `Feature`. This feature's geometry should match the bounds of the labeled image tile, and a `Feature` property should define the regression value (see below). - **Object detection labels:** A GeoJSON `FeatureCollection` containing rectangular bounding boxes (as `Polygon` geometry `Feature`s) defining the bounds of an object of interest (e.g. a car). A `Feature` property **must** define the class of the object labeled. Additional `Feature` properties may be defined for additional metadata. - **Segmentation labels:** A GeoJSON `FeatureCollection` containing `Polygon` geometry `Feature`s that trace the boundaries of objects of interest (e.g. buildings, vegetation, bodies of water), or raster-formatted pixel masks defining pixel classes. (See [raster label notes](#raster-label-notes)) ## Examples **Roads:** - [Example Roads Item](examples/spacenet-roads/roads_item.json) - [Example Roads Asset (labels)](examples/spacenet-roads/spacenetroads_AOI_3_Paris_img101.geojson) - [Example Roads Source Imagery Item](examples/spacenet-roads/roads_source.json) - [Example Roads Collection](examples/spacenet-roads/roads_collection.json) **Buildings:** - [Example Collection of Two Building Footprint Label Catalogs](examples/multidataset/catalog.json) - [Example SpaceNet Buildings Collection](examples/multidataset/spacenet-buildings/collection.json) - [Example SpaceNet Buildings (Vegas) Item](examples/multidataset/spacenet-buildings/AOI_2_Vegas_img2636.json) - [Example SpaceNet Buildings (Paris) Item](examples/multidataset/spacenet-buildings/AOI_3_Paris_img1648.json) - [Example SpaceNet Buildings (Shanghai) Item](examples/multidataset/spacenet-buildings/AOI_4_Shanghai_img3344.json) - [Example World Bank Zanzibar Buildings Collection](examples/multidataset/zanzibar/collection.json) - [Example World Bank Zanzibar Building Item 1](examples/multidataset/zanzibar/znz001.json) - [Example World Bank Zanzibar Building Item 2](examples/multidataset/zanzibar/znz029.json) ## Schema - [JSON Schema](json-schema/schema.json) ## Item fields A Label Item represents a polygon, set of polygons, or raster data defining labels and label metadata and should be part of a Collection. See the [raster label notes](#raster-label-notes) section below for details on raster-formatted labels. It is up to the data provider how to group their catalog, but a typical use might have a Collection of a series of label sets (Items) that are related. For example a "Building" collection might have 50 Items, each one was a set of building AOIs for a single country. The Collection holds details on the data providers and the license. Like other content extensions, the Label extension adds additional fields to a STAC Item, which are detailed after some additional clarification on what the core fields mean with respect to a Label Item. ### Core Item fields Some additional notes are given here for some of the core STAC Item fields and what they represent for label. - **bbox** and **geometry**: The bounding box and the geometry of a Label Item represents the region for which the label(s) is/are valid. This could be the extent of all the AOIs in the dataset, or could be the region the provider believes the label is representative. - **properties.datetime**: The datetime of a Label Item is the nominal datetime for which the label applies, typically this is the datetime of the source imagery used to generate the labels. If the label applies over a range of datetimes (e.g., generated from multiple source images) then use the [Date and Time Range fields](../../item-spec/common-metadata.md#date-and-time-range) to indicate start and end datetimes. - **assets**: The label assets are GeoJSON FeatureCollection assets containing the actual label features. As with the core STAC Item a thumbnail asset is also strongly encouraged. ### New Item properties | Field Name | Type | Name | Description | | ----------------- | -------------------------------- | -------------------------- | ----------- | | label:properties | \[string]\|null | Name | **REQUIRED** These are the names of the property field(s) in each `Feature` of the label asset's `FeatureCollection` that contains the classes (keywords from `label:classes` if the property defines classes). If labels are rasters, use `null`. | | label:classes | \[[Class Object](#class-object)] | Classes | **REQUIRED** if using categorical data. A Class Object defining the list of possible class names for each `label:properties`. (e.g., tree, building, car, hippo) | | label:description | string | Description | **REQUIRED** A description of the label, how it was created, and what it is recommended for | | label:type | string | Type | **REQUIRED** An ENUM of either `vector` label type or `raster` label type | | label:tasks | \[string] | Task | Recommended to be a subset of 'regression', 'classification', 'detection', or 'segmentation', but may be an arbitrary value | | label:methods | \[string] | Method | Recommended to be a subset of 'automated' or 'manual', but may be an arbitrary value. | | label:overviews | \[[Label Overview Object](#label-overview-object)] | Overview | An Object storing counts (for classification-type data) or summary statistics (for continuous numerical/regression data). | #### Class Object | Field Name | Type | Name | Description | | ---------- | -------------------- | ------- | ----------- | | name | string\|null | Name | **REQUIRED** The property key within the asset's each `Feature` corresponding to class labels. If labels are raster-formatted, use null. | | classes | \[string]\|\[number] | Classes | **REQUIRED** The different possible class values within the property `name`. | #### Label Overview Object | Field Name | Type | Name | Description | | ------------ | -------------------------------- | ------------ | ----------- | | property_key | string | Property Key | The property key within the asset corresponding to class labels. | | counts | \[[Count Object](#count-object)] | Counts | An object containing counts for categorical data. | | statistics | \[[Stats Object](#stats-object)] | Statistics | An object containing statistics for regression/continuous numeric value data. | `label:overviews ` generally won't have both counts and statistics, but one of the two. #### Count Object | Field Name | Type | Name | Description | | ---------- | ------- | ---------- | ----------- | | name | string | Class Name | The different possible classes within the property `name`. | | count | integer | Count | The number of occurrences of the class. | ```json { "property_key": "road_type", "counts": [ { "name": "dirt", "count": 10 }, { "name": "paved", "count": 99 } ] } ``` #### Stats Object | Field Name | Type | Name | Description | | ---------- | ------ | --------- | ----------- | | name | string | Stat Name | The name of the statistic being reported. | | value | number | Value | The value of the statistic `name`. | ```json { "property_key": "elevation", "statistics": [ { "name": "mean", "value": 100.1 }, { "name": "median", "value": 102.3 }, { "name": "max", "value": 100000 } ] } ``` #### Assets ##### labels (required) The Label Extension requires at least one asset that uses the key "labels". The asset will contain a link to the actual label data. The asset has these requirements: - is a GeoJSON FeatureCollection - if `label:tasks` is tile_classification, object_detection, or segmentation, each feature should have one or more properties containing the label(s) for the class (one of `label:classes`). the name of the property can be anything (use "label" if making from scratch), but needs to be specified in the `Item` with the `label:properties` field. - if `label:tasks` is tile_regression, each feature should have one or more properties defining the value for regression. the name of the property can be anything (use "label" if making from scratch), but needs to be specified in the `Item` with the `label:properties` field. ##### Raster Label Notes If the labels are formatted as rasters - for example, a pixel mask with 1s where there is water and 0s where there is land - the following approach is recommended for including those data. The raster label file (e.g. a GeoTIFF) should be included as an asset under the item. Along with the image file, a GeoJSON `FeatureCollection` asset should be included. That `FeatureCollection` should contain a single `Feature`, ideally a polygon geometry defining the extent of the raster. ##### Rendered images (optional) The source imagery used for creating the label is linked to under `links` (see below). However the source imagery is likely to have been rendered in some way when creating the training data. For instance, a byte-scaled true color image may have been created from the source imagery. It may be useful to save this image and include it as an asset in the `Item`. #### Links: source imagery A Label Item links to any source imagery that the AOI applys to by linking to the STAC Item representing the imagery. Source imagery is indicated by using a `rel` type of "source" and providing the link to the STAC Item. In addition the source imagery link has a new label extension specific field: | Field Name | Type | Name | Description | | ------------ | --------- | ------ | ----------- | | label:assets | \[string] | Assets | The keys for the assets within the `source` item to which this label item applies. | The `label:assets` field applies to situations where the labels may apply to certain assets inside the source imagery Item, but not others (e.g. if the labels were traced on top of RGB imagery, but the source item also contains assets for a Digital Elevation Model). ## Implementations The SpaceNet Challenge Round 2 dataset has a [STAC catalog](https://spacenet-dataset.s3.amazonaws.com/spacenet-stac/SN2_buildings/catalog.json) generated using [PySTAC](https://pystac.readthedocs.io/en/latest) containing Label Items. Further example implementations can be found in [Examples](#Examples). The Roads implementation provides an example item for labels from the [SpaceNet Road Network Extraction Challenge Dataset](https://spacenet.ai/spacenet-roads-dataset/), providing segmentation labels for road networks. The Misc Samples implementation provides an example catalog of collections with sample label items from several training datasets, [SpaceNet Buildings](https://spacenet.ai/spacenet-buildings-dataset-v2/) and [Open AI Tanzania Building Footprint Segmentation Challenge](https://competitions.codalab.org/competitions/20100) for now, providing segmentation labels for buildings. [Raster Foundry](https://rasterfoundry.azavea.com/) supports exporting STAC-compliant training data label items, assets, and sources in a self-contained `zip` file and as an s3 directory when initiated from an internal annotation and labeling tool. [PySTAC](https://pystac.readthedocs.io/en/latest/) supports [reading/writing](https://pystac.readthedocs.io/en/latest/tutorials/how-to-create-stac-catalogs.html#Adding-label-items-to-the-Spacenet-5-catalog) STAC collections according to this extension. ## Extensions While the EO extension doesn't make sense within a Label Item itself, most Label Items will link to source data which will frequently use the EO Extension. The [extensions page](../README.md) gives an overview about these and other extensions. stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/examples/000077500000000000000000000000001517436701200257265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/examples/multidataset/000077500000000000000000000000001517436701200304265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/examples/multidataset/catalog.json000066400000000000000000000007561517436701200327430ustar00rootroot00000000000000{ "id": "label_extension_demo", "title": "label extension demo", "description": "Sample ML training data labels in the STAC format", "stac_version": "1.0.0-beta.2", "links": [ { "rel": "root", "href": "./catalog.json" }, { "rel": "child", "href": "zanzibar/collection.json" }, { "rel": "child", "href": "spacenet-buildings/collection.json" } ] } spacenet-buildings/000077500000000000000000000000001517436701200341275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/examples/multidatasetAOI_2_Vegas_img2636.json000066400000000000000000000045071517436701200401630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/examples/multidataset/spacenet-buildings{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "label", "version" ], "id": "AOI_2_Vegas_img2636", "type": "Feature", "bbox": [ -115.23556259985658, 36.12654269972625, -115.23412932899998, 36.12829769972975 ], "geometry": { "type": "Polygon", "coordinates": [[ [ -115.23556259985658, 36.12654269972625 ], [ -115.23556259985658, 36.12829769972975 ], [ -115.23412932899998, 36.12829769972975 ], [ -115.23412932899998, 36.12654269972625 ] ]] }, "assets": { "labels": { "title": "AOI_2_Vegas_img2636_label", "href": "https://spacenet-dataset.s3.amazonaws.com/spacenet/SN2_buildings/train/AOI_2_Vegas/geojson_buildings/SN2_buildings_train_AOI_2_Vegas_geojson_buildings_img2636.geojson", "type": "application/geo+json", "license": "CC-BY-SA-4.0" }, "raster": { "title": "AOI_2_Vegas_img2636_previewcog", "href": "https://spacenet-dataset.s3.amazonaws.com/AOIs/AOI_2_Vegas/PS-MS/AOI_2_Vegas_PS-MS_COG.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized" } }, "properties": { "datetime": "2016-08-26T22:41:55.000000Z", "label:properties": [ "OBJECTID_1" ], "label:description": "building footprints manually labeled", "label:tasks": [ "segmentation" ], "label:type": "vector", "label:methods": [ "manual" ], "version": "1", "label:classes": [ { "name": "OBJECTID_1", "classes": [ "0" ] } ], "label:overviews": [ { "property_key": "OBJECTID_1", "counts": [ { "name": "0", "count": 27 } ] } ] }, "links": [ { "rel": "root", "href": "../catalog.json" }, { "rel": "parent", "href": "collection.json" }, { "rel": "collection", "href": "collection.json" }, { "rel": "source", "href": "https://spacenet-dataset.s3.amazonaws.com/spacenet/SN2_buildings/train/AOI_2_Vegas/PS-RGB/SN2_buildings_train_AOI_2_Vegas_PS-RGB_img2636.tif", "title": "The source imagery these building labels were derived from", "label:assets": "OBJECTID_1" } ] } AOI_3_Paris_img1648.json000066400000000000000000000045341517436701200401770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/label/examples/multidataset/spacenet-buildings{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "label", "version" ], "id": "AOI_3_Paris_img1648", "type": "Feature", "bbox": [ 2.288201399928881, 49.00383090002822, 2.289956399928177, 49.00558590002751 ], "geometry": { "type": "Polygon", "coordinates": [[ [ 2.288201399928881, 49.00383090002822 ], [ 2.289956399928177, 49.00383090002822 ], [ 2.289956399928177, 49.00558590002751 ], [ 2.288201399928881, 49.00558590002751 ] ]] }, "assets": { "labels": { "title": "AOI_3_Paris_img1648_label", "href": "https://spacenet-dataset.s3.amazonaws.com/spacenet/SN2_buildings/train/AOI_3_Paris/geojson_buildings/SN2_buildings_train_AOI_3_Paris_geojson_buildings_img1648.geojson", "type": "application/geo+json", "license": "CC-BY-SA-4.0" }, "raster": { "title": "AOI_3_Paris_img1648_previewcog", "href": "https://spacenet-dataset.s3.amazonaws.com/AOIs/AOI_3_Paris/PS-MS/AOI_3_Paris_PS-MS_COG.tif", "type": "image/tiff; 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stac-validator-4.2.2/tests/test_data/1beta2/extensions/pointcloud/000077500000000000000000000000001517436701200252115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/pointcloud/README.md000066400000000000000000000054651517436701200265020ustar00rootroot00000000000000# Point Cloud Extension Specification - **Title: Point Cloud** - **Identifier: pointcloud** - **Field Name Prefix: pc** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the Point Cloud Extension to a STAC Item, which allows STAC to more fully describe point cloud datasets. The point clouds can come from either active or passive sensors, and data is frequently acquired using tools such as LiDAR or coincidence-matched imagery. - [Example](examples/example-autzen.json) - [JSON Schema](json-schema/schema.json) ## Item Fields | Field Name | Type | Description | | ------------- | --------------------------------- | ----------- | | pc:count | integer | **REQUIRED.** The number of points in the item. | | pc:type | string | **REQUIRED.** Phenomenology type for the point cloud. Possible valid values might include `lidar`, `eopc`, `radar`, `sonar`, or `other` | | pc:encoding | string | **REQUIRED.** Content encoding or format of the data. | | pc:schemas | [[Schema Object](#schema-object)] | **REQUIRED.** A sequential array of items that define the dimensions and their types. | | pc:density | number | Number of points per square unit area. | | pc:statistics | [[Stats Object](#stats-object)] | A sequential array of items mapping to `pc:schemas` defines per-channel statistics. | ### Schema Object A sequential array of items that define the dimensions or channels of the point cloud, their types, and their sizes (in full bytes). | Field Name | Type | Description | | ---------- | ------- | -------------------------- | | name | string | **REQUIRED.** The name of the dimension. | | size | integer | **REQUIRED.** The size of the dimension in bytes. Whole bytes only are supported. | | type | string | **REQUIRED.** Dimension type. Valid values are `floating`, `unsigned`, and `signed` | ### Stats Object A sequential array of items mapping to `pc:schemas` defines per-channel statistics. The channel name is required and at least one statistic. | Field Name | Type | Description | | ---------- | ------- | ----------- | | name | string | **REQUIRED.** The name of the channel. | | position | integer | Position of the channel in the schema. | | average | number | The average of the channel. | | count | integer | The number of elements in the channel. | | maximum | number | The maximum value of the channel. | | minimum | number | The minimum value of the channel. | | stddev | number | The standard deviation of the channel. | | variance | number | The variance of the channel. | ## Implementations None yet, still in proposal stage. stac-validator-4.2.2/tests/test_data/1beta2/extensions/pointcloud/examples/000077500000000000000000000000001517436701200270275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/pointcloud/examples/bad-example-autzen.json000066400000000000000000000141721517436701200334120ustar00rootroot00000000000000{ "stac_version": 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{ "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/pointcloud" } ], "definitions": { "pointcloud": { "type": "object", "required": [ "stac_extensions", "properties" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "pointcloud", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/pointcloud/json-schema/schema.json" ] } }, "properties": { "type": "object", "required": [ "pc:count", "pc:type", "pc:encoding", "pc:schemas" ], "properties": { "pc:count": { "type": "integer", "minimum": 0 }, "pc:type": { "type": "string" }, "pc:encoding": { "type": "string" }, "pc:schemas": { "type": "array", "minItems": 1, "items": { "$ref": "#/definitions/schema" } } } }, "assets": { "type": "object", "additionalProperties": { "type": "object", "properties": { "eo:bands": { "$ref": "#/definitions/bands" } } } } } }, "bands": { "title": "Bands", "type": "array", "minItems": 1, "items": { "properties": { "name": { "title": "Name of the band", "type": "string" }, "common_name": { "title": "Common Name of the band", "type": "string" }, "center_wavelength": { "title": "Center Wavelength", "type": "number" }, "full_width_half_max": { "title": "Full Width Half Max (FWHM)", "type": "number" } } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/pointcloud/json-schema/000077500000000000000000000000001517436701200274205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/pointcloud/json-schema/schema.json000066400000000000000000000054541517436701200315630ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/pointcloud/json-schema/schema.json#", "title": "Point Cloud Extension", "description": "STAC Point Cloud Extension to a STAC Item", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/pointcloud" } ], "definitions": { "pointcloud": { "type": "object", "required": [ "stac_extensions", "properties" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "pointcloud", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/pointcloud/json-schema/schema.json" ] } }, "properties": { "type": "object", "required": [ "pc:count", "pc:type", "pc:encoding", "pc:schemas" ], "properties": { "pc:count": { "type": "integer", "minimum": 0 }, "pc:type": { "type": "string" }, "pc:encoding": { "type": "string" }, "pc:schemas": { "type": "array", "minItems": 1, "items": { "$ref": "#/definitions/schema" } }, "pc:density": { "type": "number", "minimum": 0 }, "pc:statistics": { "type": "array", "minItems": 1, "items": { "$ref": "#/definitions/stats" } } } } } }, "schema": { "type": "object", "required": [ "name", "size", "type" ], "properties": { "name": { "type": "string" }, "size": { "type": "integer" }, "type": { "type": "string", "enum": [ "floating", "unsigned", "signed" ] } } }, "stats": { "type": "object", "minProperties": 2, "required": [ "name", ], "properties": { "name": { "type": "string" }, "position": { "type": "integer" }, "average": { "type": "number" }, "count": { "type": "integer" }, "maximum": { "type": "number" }, "minimum": { "type": "number" }, "stddev": { "type": "number" }, "variance": { "type": "number" } } } } } stac-validator-4.2.2/tests/test_data/1beta2/extensions/projection/000077500000000000000000000000001517436701200252055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/projection/README.md000066400000000000000000000163431517436701200264730ustar00rootroot00000000000000# Projection Extension Specification - **Title: Projection** - **Identifier: projection** - **Field Name Prefix: proj** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the STAC Projection (`proj`) Extension to a STAC Item. Here `proj` is short for "projection", and not a reference to the use of the PROJ/PROJ4 formats. The field names defined herein should be added as fields in the Item Properties object. When specified on an Item, the values are assumed to apply to all Assets in that Item. For example, an Item may have several related Assets each representing a band or layer for the Item, and which typically all use the same CRS, e.g. a UTM Zone. However, there may also be assets intended for display, like a preview image or thumbnail, that have been reprojected to a different CRS, e.g., Web Mercator, to better accommodate that use case. This case of differing projections per Asset is not currently handled by this extension. The exception to this is that `proj:shape` and `proj:transform` can be overridden at the asset level, where an asset has a different shape and transform from the default, which should be specified at the asset level, while those assets that use the defaults can remain unspecified. ## Examples - [Example Landsat8](examples/example-landsat8.json) ## Schema - [JSON Schema](json-schema/schema.json) ## Item Properties fields | Field Name | Type | Description | | ---------------- | ------------------------ | ----------- | | proj:epsg | integer \|null | **REQUIRED.** [EPSG code](http://www.epsg-registry.org/) of the datasource | | proj:wkt2 | string \|null | [WKT2](http://docs.opengeospatial.org/is/12-063r5/12-063r5.html) string representing the Coordinate Reference System (CRS) that the `proj:geometry` and `proj:bbox` fields represent | | proj:projjson | [PROJJSON Object](https://proj.org/usage/projjson.html) \|null | PROJJSON object representing the Coordinate Reference System (CRS) that the `proj:geometry` and `proj:bbox` fields represent | | proj:geometry | [Polygon Object](https://geojson.org/schema/Polygon.json) | Defines the footprint of this Item. | | proj:bbox | \[number] | Bounding box of the Item in the asset CRS in 2 or 3 dimensions. | | proj:centroid | Centroid Object | Coordinates representing the centroid of the Item in the asset CRS | | proj:shape | \[integer] | Number of pixels in Y and X directions for the default grid | | proj:transform | \[number] | The affine transformation coefficients for the default grid | **proj:epsg** - A Coordinate Reference System (CRS) is the data reference system (sometimes called a 'projection') used by the asset data, and can usually be referenced using an [EPSG code](http://epsg.io). If the asset data does not have a CRS, such as in the case of non-rectified imagery with Ground Control Points, `proj:epsg` should be set to null. It should also be set to null if a CRS exists, but for which there is no valid EPSG code. **proj:wkt2** - A Coordinate Reference System (CRS) is the data reference system (sometimes called a 'projection') used by the asset data. This value is a [WKT2](http://docs.opengeospatial.org/is/12-063r5/12-063r5.html) string. If the data does not have a CRS, such as in the case of non-rectified imagery with Ground Control Points, proj:wkt2 should be set to null. It should also be set to null if a CRS exists, but for which a WKT2 string does not exist. **proj:projjson** - A Coordinate Reference System (CRS) is the data reference system (sometimes called a 'projection') used by the asset data. This value is a [PROJJSON](https://proj.org/specifications/projjson.html) object. If the data does not have a CRS, such as in the case of non-rectified imagery with Ground Control Points, proj:projjson should be set to null. It should also be set to null if a CRS exists, but for which a PROJJSON string does not exist. The schema for this object can be found [here](https://proj.org/schemas/v0.2/projjson.schema.json). **proj:geometry** - A Polygon object representing the footprint of this item, formatted according the Polygon object format specified in [RFC 7946, sections 3.1.6](https://tools.ietf.org/html/rfc7946), except not necessarily in EPSG:4326 as required by RFC7946. Specified based on the `proj:epsg`, `proj:projjson` or `proj:wkt2` fields (not necessarily EPSG:4326). Ideally, this will be represented by a Polygon with five coordinates, as the item in the asset data CRS should be a square aligned to the original CRS grid. **proj:bbox** - Bounding box of the assets represented by this item in the asset data CRS. Specified as 4 or 6 coordinates based on the CRS defined in the `proj:epsg`, `proj:projjson` or `proj:wkt2` fields. First two numbers are coordinates of the lower left corner, followed by coordinates of upper right corner, , e.g., \[west, south, east, north], \[xmin, ymin, xmax, ymax], \[left, down, right, up], or \[west, south, lowest, east, north, highest]. The length of the array must be 2*n where n is the number of dimensions. The array contains all axes of the southwesterly most extent followed by all axes of the northeasterly most extent specified in Longitude/Latitude or Longitude/Latitude/Elevation based on [WGS 84](http://www.opengis.net/def/crs/OGC/1.3/CRS84). When using 3D geometries, the elevation of the southwesterly most extent is the minimum elevation in meters and the elevation of the northeasterly most extent is the maximum in meters. **proj:centroid** - Coordinates representing the centroid of the item in the asset data CRS. Coordinates are defined in latitude and longitude, even if the data coordinate system does not use lat/long. **proj:shape** - An array of integers that represents the number of pixels in the most common pixel grid used by the item's assets. The number of pixels should be specified in Y, X order. If the shape is defined in an item's properties it is used as the default shape for all assets that don't have an overriding shape. **proj:transform** - Linear mapping from pixel coordinate space (Pixel, Line) to projection coordinate space (Xp, Yp). It is a `3x3` matrix stored as a flat array of 9 elements in row major order. Since the last row is always `0,0,1` it can be omitted, in which case only 6 elements are recorded. This mapping can be obtained from GDAL([`GetGeoTransform`](https://gdal.org/api/gdaldataset_cpp.html#_CPPv4N11GDALDataset15GetGeoTransformEPd)) or the Rasterio ([`Transform`](https://rasterio.readthedocs.io/en/stable/api/rasterio.io.html#rasterio.io.BufferedDatasetWriter.transform)). ``` bash [Xp] [a0, a1, a2] [Pixel] [Yp] = [a3, a4, a5] * [Line ] [1 ] [0 , 0, 1] [1 ] ``` If the transform is defined in an item's properties it is used as the default transform for all assets that don't have an overriding transform. ## Centroid Object This object represents the centroid of an item's geometry. | Field Name | Type | Description | | ------------------- | ------ | ------------------------------------------------------------ | | lat | number | The latitude of the centroid. | | lon | number | The longitude of the centroid. | stac-validator-4.2.2/tests/test_data/1beta2/extensions/projection/examples/000077500000000000000000000000001517436701200270235ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/projection/examples/example-landsat8.json000066400000000000000000000144601517436701200330720ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "eo", "projection" ], "id": "LC81530252014153LGN00", "type": "Feature", "collection": "landsat-8-l1", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "assets": { "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 } ], "title": "Band 1 (coastal)" }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B8.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B8", "common_name": "panchromatic", "center_wavelength": 0.59, "full_width_half_max": 0.18 } ], "title": "Band 8 (panchromatic)", "proj:shape": [16781, 16621], "proj:transform": [15.0, 0.0, 224992.5, 0.0, -15.0, 6790207.5, 0.0, 0.0, 1.0] } }, "properties": { "datetime": "2018-10-01T01:08:32.033Z", "proj:epsg": 32614, "proj:wkt2": "PROJCS[\"WGS 84 / UTM zone 14N\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.01745329251994328,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",-99],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],AUTHORITY[\"EPSG\",\"32614\"],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH]]", "proj:projjson": { "$schema": "https://proj.org/schemas/v0.2/projjson.schema.json", "type": "ProjectedCRS", "name": "WGS 84 / UTM zone 14N", "base_crs": { "name": "WGS 84", "datum": { "type": "GeodeticReferenceFrame", "name": "World Geodetic System 1984", "ellipsoid": { "name": "WGS 84", "semi_major_axis": 6378137, "inverse_flattening": 298.257223563 } }, "coordinate_system": { "subtype": "ellipsoidal", "axis": [ { "name": "Geodetic latitude", "abbreviation": "Lat", "direction": "north", "unit": "degree" }, { "name": "Geodetic longitude", "abbreviation": "Lon", "direction": "east", "unit": "degree" } ] }, "id": { "authority": "EPSG", "code": 4326 } }, "conversion": { "name": "UTM zone 14N", "method": { "name": "Transverse Mercator", "id": { "authority": "EPSG", "code": 9807 } }, "parameters": [ { "name": "Latitude of natural origin", "value": 0, "unit": "degree", "id": { "authority": "EPSG", "code": 8801 } }, { "name": "Longitude of natural origin", "value": -99, "unit": "degree", "id": { "authority": "EPSG", "code": 8802 } }, { "name": "Scale factor at natural origin", "value": 0.9996, "unit": "unity", "id": { "authority": "EPSG", "code": 8805 } }, { "name": "False easting", "value": 500000, "unit": "metre", "id": { "authority": "EPSG", "code": 8806 } }, { "name": "False northing", "value": 0, "unit": "metre", "id": { "authority": "EPSG", "code": 8807 } } ] }, "coordinate_system": { "subtype": "Cartesian", "axis": [ { "name": "Easting", "abbreviation": "E", "direction": "east", "unit": "metre" }, { "name": "Northing", "abbreviation": "N", "direction": "north", "unit": "metre" } ] }, "area": "World - N hemisphere - 102°W to 96°W - by country", "bbox": { "south_latitude": 0, "west_longitude": -102, "north_latitude": 84, "east_longitude": -96 }, "id": { "authority": "EPSG", "code": 32614 } }, "proj:geometry": { "coordinates": [ [ [ 169200.0, 3712800.0 ], [ 403200.0, 3712800.0 ], [ 403200.0, 3951000.0 ], [ 169200.0, 3951000.0 ], [ 169200.0, 3712800.0 ] ] ], "type": "Polygon" }, "proj:bbox": [ 169200.0, 3712800.0, 403200.0, 3951000.0 ], "proj:centroid": { "lat": 34.595302781575604, "lon": -101.34448382627504 }, "proj:shape": [8391, 8311], "proj:transform": [30.0, 0.0, 224985.0, 0.0, -30.0, 6790215.0, 0.0, 0.0, 1.0] }, "links": [ { "rel": "self", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/search?id=LC08_L1TP_107018_20181001_20181001_01_RT" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/projection/json-schema/000077500000000000000000000000001517436701200274145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/projection/json-schema/schema.json000066400000000000000000000067071517436701200315610ustar00rootroot00000000000000{ "$schema":"http://json-schema.org/draft-07/schema#", "$id":"https://schemas.stacspec.org/v1.0.0-beta.2/extensions/projection/json-schema/schema.json#", "title":"Projection Extension", "description":"STAC Projection Extension to a STAC Item", "allOf":[ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref":"#/definitions/proj" } ], "definitions":{ "proj":{ "type": "object", "required": [ "stac_extensions", "properties" ], "properties":{ "stac_extensions": { "type": "array", "contains": { "enum": [ "projection", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/projection/json-schema/schema.json" ] } }, "properties":{ "type":"object", "required":[ "proj:epsg" ], "properties":{ "proj:epsg":{ "title":"EPSG code", "type":[ "integer", "null" ] }, "proj:wkt2":{ "title":"Coordinate Reference System in WKT2 format", "type":[ "string", "null" ] }, "proj:projjson": { "title":"Coordinate Reference System in PROJJSON format", "oneOf": [ { "$ref": "https://proj.org/schemas/v0.2/projjson.schema.json" }, { "type": "null" } ] }, "proj:geometry":{ "title":"Geometry", "oneOf": [ { "$ref": "https://geojson.org/schema/Polygon.json" } ] }, "proj:bbox":{ "title":"Extent", "type":"array", "oneOf": [ { "minItems":4, "maxItems":4 }, { "minItems":6, "maxItems":6 } ], "items":{ "type":"number" } }, "proj:centroid":{ "title":"Centroid", "type":"object", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "minimum": -90, "maximum": 90 }, "lon": { "type": "number", "minimum": -180, "maximum": 180 } } }, "proj:shape":{ "title":"Shape", "type":"array", "minItems":2, "maxItems":2, "items":{ "type":"integer" } }, "proj:transform":{ "title":"Transform", "type":"array", "oneOf": [ { "minItems":6, "maxItems":6 }, { "minItems":9, "maxItems":9 } ], "items":{ "type":"number" } } } } } } } } stac-validator-4.2.2/tests/test_data/1beta2/extensions/sar/000077500000000000000000000000001517436701200236165ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/sar/README.md000066400000000000000000000160311517436701200250760ustar00rootroot00000000000000# SAR Extension Specification - **Title: SAR** - **Identifier: sar** - **Field Name Prefix: sar** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the STAC Synthetic-Aperture Radar (SAR) Extension to a STAC Item. SAR data is considered to be data that represents a snapshot of the earth for a single date and time taken by a synthetic-aperture radar system such as Sentinel-1, RADARSAT or EnviSAT. If the data has been collected by a satellite, it is strongly recommended to use the [`sat` extension](../sat/README.md), which in turn requires the [Instrument Fields](../../item-spec/common-metadata.md#instrument). If the data has been collected on an airborne platform it is strongly recommended to use the [Instrument Fields](../../item-spec/common-metadata.md#instrument). To describe frame start and end times, use the [Date and Time Range fields](../../item-spec/common-metadata.md#date-and-time-range). - [Examples](examples/) (for example [Sentinel-1](examples/sentinel1.json) and [Envisat](examples/envisat.json)) - [JSON Schema](json-schema/schema.json) ## Item fields **Note:** In the following specification *range* values are meant to be measured perpendicular to the flight path and *azimuth* values are meant to be measured parallel to the flight path. | Field Name | Type | Description | | --------------------------- | --------- | ------------------------------------------------------------ | | sar:instrument_mode | string | **REQUIRED.** The name of the sensor acquisition mode that is commonly used. This should be the short name, if available. For example, `WV` for "Wave mode" of Sentinel-1 and Envisat ASAR satellites. | | sar:frequency_band | string | **REQUIRED.** The common name for the frequency band to make it easier to search for bands across instruments. See section "Common Frequency Band Names" for a list of accepted names. | | sar:center_frequency | number | The center frequency of the instrument, in gigahertz (GHz). | | sar:polarizations | \[string] | **REQUIRED.** Any combination of polarizations. | | sar:product_type | string | **REQUIRED.** The product type, for example `SSC`, `MGD`, or `SGC` | | sar:resolution_range | number | The range resolution, which is the maximum ability to distinguish two adjacent targets perpendicular to the flight path, in meters (m). | | sar:resolution_azimuth | number | The azimuth resolution, which is the maximum ability to distinguish two adjacent targets parallel to the flight path, in meters (m). | | sar:pixel_spacing_range | number | The range pixel spacing, which is the distance between adjacent pixels perpendicular to the flight path, in meters (m). Strongly RECOMMENDED to be specified for products of type `GRD`. | | sar:pixel_spacing_azimuth | number | The azimuth pixel spacing, which is the distance between adjacent pixels parallel to the flight path, in meters (m). Strongly RECOMMENDED to be specified for products of type `GRD`. | | sar:looks_range | number | Number of range looks, which is the number of groups of signal samples (looks) perpendicular to the flight path. | | sar:looks_azimuth | number | Number of azimuth looks, which is the number of groups of signal samples (looks) parallel to the flight path. | | sar:looks_equivalent_number | number | The equivalent number of looks (ENL). | | sar:observation_direction | string | Antenna pointing direction relative to the flight trajectory of the satellite, either `left` or `right`. | **sar:polarizations** specifies a single polarization or a polarization combination. For single polarized radars one of `HH`, `VV`, `HV` or `VH` must be set. Fully polarimetric radars add all four polarizations to the array. Dual polarized radars and alternating polarization add the corresponding polarizations to the array, for instance for `HH+HV` add both `HH` and `HV`. **sar:product_type**: The product type defines the type of procesed data contained in the assets. A list of suggestions include: | sar:product_type | Type | Description | | ----------------- | --------- | ----------- | | SSC | complex | Single-look Slant-range Complex image (standard SLC) | | MGD | amplitude | Multilooked Ground-range Detected image | | GRD | amplitude | Multilooked Ground-range Detected image (used by Sentinel-1) | | GEC | amplitude | Geocoded Ellipsoid Corrected image | | GTC | amplitude | Geocoded Terrain Corrected image | | RTC | amplitude | Geocoded Radiometrically Terrain Corrected image | | SGC | complex | Single-look Ground projected Complex image | | SLC | complex | Single-look Ground projected Complex image (used by Sentinel-1) | This can vary by data provider, who all may use slightly different names. Sentinel-1 for instance uses `GRD`, wihch is the same as the more general `MGD` and `SLC` instead of `SGC`. ### Common Frequency Band Names The `sar:frequency_band` is the name that is commonly used to refer to that band's spectral properties. The table below shows the common name based on the wavelength and frequency ranges for several SAR satellites. | Common Name | Wavelength Range (cm) | Frequency Range (GHz) | Satellites | | ----------- | --------------------- | --------------------- | ---------- | | P | 30 - 120 | 0.25 - 1 | | | L | 15 - 30 | 1 - 2 | ALOS, JERS, NISAR, SOACOM | | S | 7.5 - 15 | 2 - 4 | HJ-1C | | C | 3.8 - 7.5 | 4 - 8 | EnviSat, ERS, Radarsat, Risat-1, Sentinel-1 | | X | 2.4 - 3.8 | 8 - 12.5 | Cosmo-SkyMed, TerraSAR-X, RanDEM-X, PAZ, KOMPSat-5 | | Ku | 1.7 - 2.4 | 12.5 - 18 | | | K | 1.1 - 1.7 | 18 - 26.5 | | | Ka | 0.75 - 1.1 | 26.5 - 40 | | ### Date and Time In SAR, you usually have frame start and end time. To describe this information it is recommended to use the [Date and Time Range fields](../../item-spec/common-metadata.md#date-and-time-range). The center time of the frame should be specified with the `datetime` property for [STAC Items](../../item-spec/item-spec.md). ### Item [`Asset Object`](../../item-spec/item-spec.md#asset-object) fields | Field Name | Type | Description | | ----------------- | --------- | -------------------------------------------- | | sar:polarizations | \[string] | Lists the polarizations available in the asset, in order. Any of `HH`, `VV`, `HV`, `VH`. | ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to SAR data: * the [Sat Extension Specification](../sat/README.md) to describe SAR data collected from a satellite. stac-validator-4.2.2/tests/test_data/1beta2/extensions/sar/examples/000077500000000000000000000000001517436701200254345ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/sar/examples/envisat.json000066400000000000000000000035271517436701200300070ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "sat", "sar" ], "id": "ASA_GM1_1PNPDE20090520_023957_000001022079_00118_37747_3607", "type": "Feature", "bbox": [64.302468,114.587673,71.179088,128.611298], "geometry": { "type": "Polygon", "coordinates": [ [ [65.212918,114.587673], [71.179088,117.542266], [70.096391,128.611298], [64.302468,123.2946], [65.212918,114.587673] ] ] }, "properties": { "datetime": "2009-05-20T02:40:46.763325Z", "start_datetime": "2009-05-20T02:40:01.042784Z", "end_datetime": "2009-05-20T02:41:31.483865Z", "platform": "envisat", "constellation": "envisat", "instruments": ["asar"], "sat:orbit_state": "descending", "sar:instrument_mode": "GM", "sar:polarizations": ["HH"], "sar:resolution_range": 1000, "sar:resolution_azimuth": 1000, "sar:pixel_spacing_range": 500, "sar:pixel_spacing_azimuth": 500, "sar:looks_range": 3, "sar:looks_azimuth": 4, "sar:frequency_band": "C", "sar:center_frequency": 5.331, "sar:product_type": "GM1_1P" }, "assets": { "product": { "href": "ASA_GM1_1PNPDE20090520_023957_000001022079_00118_37747_3607.n1.gz", "type": "application/gzip", "description": "Amplitude and Intensity. Intensity equals the square of the amplitude band", "sar:polarizations": ["HH", "HH"] } }, "links": [ { "rel": "about", "href": "https://earth.esa.int/pub/ESA_DOC/ENVISAT/ASAR/asar.ProductHandbook.2_2.pdf", "title": "ASAR Product Handbook", "type": "application/pdf" }, { "rel": "about", "href": "https://earth.esa.int/web/sppa/mission-performance/esa-missions/envisat/asar/products-and-algorithms", "title": "ASAR Product and Algorithms", "type": "text/html" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/sar/examples/sentinel1.json000066400000000000000000000055341517436701200302400ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "checksum", "sar", "sat" ], "id": "S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616", "type": "Feature", "bbox": [-70.275032,-64.72924,-65.087479,-51.105831], "geometry": { "type": "Polygon", "coordinates": [ [ [-67.071648,-64.72924], [-65.087479,-56.674374], [-68.033211,-51.105831], [-70.275032,-59.805672], [-67.071648,-64.72924] ] ] }, "properties": { "datetime": "2018-11-03T23:58:55.617217Z", "start_datetime": "2018-11-03T23:58:55.121559Z", "end_datetime": "2018-11-03T23:59:55.112875Z", "platform": "sentinel-1a", "constellation": "sentinel-1", "instruments": ["c-sar"], "sat:orbit_state": "ascending", "sat:relative_orbit": 33, "sar:instrument_mode": "EW", "sar:polarizations": ["HH"], "sar:resolution_range": 50, "sar:resolution_azimuth": 50, "sar:pixel_spacing_range": 25, "sar:pixel_spacing_azimuth": 25, "sar:looks_range": 3, "sar:looks_azimuth": 1, "sar:looks_equivalent_number": 2.7, "sar:frequency_band": "C", "sar:center_frequency": 5.405, "sar:product_type": "GRD" }, "assets": { "noises": { "href": "./annotation/calibration/noise-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Calibration Schema", "type": "text/xml", "checksum:multihash": "90e40210a30d1711e81a4b11ef67b28744321659" }, "calibrations": { "href": "./annotation/calibration/calibration-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Noise Schema", "type": "text/xml", "checksum:multihash": "90e402104fc5351af67db0b8f1746efe421a05e4" }, "products": { "href": "./annotation/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Product Schema", "type": "text/xml", "checksum:multihash": "90e402107a7f2588a85362b9beea2a12d4514d45" }, "measurement": { "href": "./measurement/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.tiff", "title": "Measurements", "type": "image/tiff", "sar:polarizations": ["HH"], "checksum:multihash": "90e40210163700a8a6501eccd00b6d3b44ddaed0" }, "thumbnail": { "href": "./preview/quick-look.png", "title": "Thumbnail", "type": "image/png", "checksum:multihash": "90e40210f52acd32b09769d3b1871b420789456c" } }, "links": [ { "rel": "self", "href": "https://example.com/collections/sentinel-1/items/S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616" }, { "rel": "parent", "href": "https://example.com/collections/sentinel-1" }, { "rel": "root", "href": "https://example.com/collections" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/sar/json-schema/000077500000000000000000000000001517436701200260255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/sar/json-schema/schema.json000066400000000000000000000103151517436701200301600ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/sar/json-schema/schema.json#", "title": "SAR Extension", "description": "STAC SAR Extension to a STAC Item", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/sar" } ], "definitions": { "sar": { "type": "object", "required": [ "stac_extensions", "properties", "assets" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "sar", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/sar/json-schema/schema.json" ] } }, "properties": { "type": "object", "required": [ "sar:instrument_mode", "sar:frequency_band", "sar:polarizations", "sar:product_type" ], "properties": { "sar:instrument_mode": { "title": "Instrument Mode", "type": "string", "example": "WV" }, "sar:frequency_band": { "title": "Frequency Band", "type": "string", "enum": [ "P", "L", "S", "C", "X", "Ku", "K", "Ka" ] }, "sar:center_frequency": { "title": "Center Frequency (GHz)", "type": "number" }, "sar:polarizations": { "title": "Polarizations", "type": "array", "minItems": 1, "maxItems": 4, "uniqueItems": true, "items": { "type": "string", "enum": [ "HH", "VV", "HV", "VH" ] } }, "sar:product_type": { "title": "Product type", "type": "string", "examples": [ "SSC", "MGD", "SGC" ] }, "sar:resolution_range": { "title": "Resolution range (m)", "type": "number", "minimum": 0 }, "sar:resolution_azimuth": { "title": "Resolution azimuth (m)", "type": "number", "minimum": 0 }, "sar:pixel_spacing_range": { "title": "Pixel spacing range (m)", "type": "number", "minimum": 0 }, "sar:pixel_spacing_azimuth": { "title": "Pixel spacing azimuth (m)", "type": "number", "minimum": 0 }, "sar:looks_range": { "title": "Looks range", "type": "integer", "minimum": 0 }, "sar:looks_azimuth": { "title": "Looks azimuth", "type": "integer", "minimum": 0 }, "sar:looks_equivalent_number": { "title": "Equivalent number of looks (ENL)", "type": "number", "minimum": 0 }, "sar:observation_direction": { "title": "Antenna pointing direction", "type": "string", "enum": [ "left", "right" ] } } }, "assets": { "type": "object", "additionalProperties": { "type": "object", "properties": { "sar:polarizations": { "title": "Polarizations", "type": "array", "minItems": 1, "items": { "type": "string", "enum": [ "HH", "VV", "HV", "VH" ] } } } } } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/sat/000077500000000000000000000000001517436701200236205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/sat/README.md000066400000000000000000000040301517436701200250740ustar00rootroot00000000000000# Satellite Extension Specification - **Title: Satellite** - **Identifier: sat** - **Field Name Prefix: sat** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the Satellite Extension to a STAC Item. Sat adds metadata related to a satellite that carries an instrument for collecting data. It will often be combined with other extensions that describe the actual data, such as the `eo`, `os` or `sar` extensions. The Satellite extension requires the [Instrument Fields](../../item-spec/common-metadata.md#instrument). - [Example (Landsat 8)](examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) ## Item fields | Field Name | Type | Description | | ---------------- | ------------------------ | ----------- | | sat:orbit_state | string | The state of the orbit. Either `ascending` or `descending` for polar orbiting satellites, or `geostationary` for geosynchronous satellites | | sat:relative_orbit | integer | The relative orbit number at the time of acquisition. | *At least one of the fields must be specified.* **sat:orbit_state** indicates the type and current state of orbit. Satellites are either geosynchronous in which case they have one state: `geostationary`, or they are sun synchronous (i.e., polar orbiting satellites) in which case they are either `ascending` or `descending`. For sun synchronous satellites it is daytime during one of these states, and nighttime during the other. **sat:relative_orbit** is a count of orbits from 1 to the number of orbits contained in a repeat cycle, where relative orbit 1 starts from a specific reference location of the sub-satellite point (the point on the earth directly below the satellite). It resets to 1 when the sub-satellite point revisits the refernece location. ## Implementations - No implementations yet ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to sat data. stac-validator-4.2.2/tests/test_data/1beta2/extensions/sat/examples/000077500000000000000000000000001517436701200254365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/sat/examples/example-landsat8.json000066400000000000000000000053121517436701200315010ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "sat", "view" ], "id": "LC08_L1TP_107018_20181001", "collection": "landsat-8-l1", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "datetime": "2018-10-01T01:08:32.033Z", "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "platform": "landsat-8", "instruments": ["oli", "tirs"], "constellation": "landsat", "sat:orbit_state": "ascending", "view:off_nadir": 0 }, "assets": { "blue": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)" }, "green": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "title": "Band 3 (green)" }, "red": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "title": "Band 4 (red)" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "collection", "href": "http://landsat-stac.s3.amazonaws.com/landsat-8-l1/catalog.json" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/sat/json-schema/000077500000000000000000000000001517436701200260275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/sat/json-schema/schema.json000066400000000000000000000026731517436701200301720ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/sat/json-schema/schema.json#", "title": "Sat Extension", "description": "STAC Sat Extension to a STAC Item.", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/sat" }, { "$ref": "../../../item-spec/json-schema/instrument.json" } ], "definitions": { "sat": { "type": "object", "required": [ "stac_extensions", "properties" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "sat", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/sat/json-schema/schema.json" ] } }, "properties": { "type": "object", "anyOf": [ {"required": ["sat:relative_orbit"]}, {"required": ["sat:orbit_state"]} ], "properties": { "sat:relative_orbit": { "type": "integer", "minimum": 1 }, "sat:orbit_state": { "title": "Orbit State", "type": "string", "enum": [ "ascending", "descending", "geostationary" ] } } } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/scientific/000077500000000000000000000000001517436701200251515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/scientific/README.md000066400000000000000000000067021517436701200264350ustar00rootroot00000000000000# Scientific Extension Specification - **Title: Scientific** - **Identifier: scientific** - **Field Name Prefix: sci** - **Scope: Item, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** Scientific metadata is considered to be data that indicate from which publication a data originates and how the data itself should be cited or referenced. Overall, it helps to increase reproducibility and citability. Human-readable references and [DOIs](https://www.doi.org/) can be used in this extension. DOIs are persistent digital interoperable identifier that uniquely identify for digital publications. They can be registered at registration agencies affiliated with the [International DOI Foundation](https://www.doi.org/). This extension applies to STAC Items and STAC Collections. As these scientific information are often closely bound to the collection level and therefore are shared across all items, it is recommended adding the fields to the corresponding [STAC Collection](../../collection-spec/README.md). - Examples: [Collection](examples/collection.json), [Item](examples/item.json) - [JSON Schema](json-schema/schema.json) ## Item and Collection Fields For Items, the fields are placed in the `properties`. For Collections, the fields are placed on the top level of the Collection. | Field Name | Type | Description | | ---------------- | -------------------- | ----------- | | sci:doi | string | The DOI name of the data, e.g. `10.1000/xyz123`. This MUST NOT be a DOIs link. For all DOI names respective DOI links SHOULD be added to the links section (see chapter "Relation types"). | | sci:citation | string | The recommended human-readable reference (citation) to be used by publications citing the data. No specific citation style is suggested, but the citation should contain all information required to find the publication distinctively. | | sci:publications | [[Publication Object](#publication-object)] | List of relevant publications referencing and describing the data. | *At least one of the fields must be specified.* ### Publication Object | Field Name | Type | Description | | ---------- | ------ | ----------- | | doi | string | DOI of a publication referencing the data. | | citation | string | Citation of a publication referencing the data. | **doi** - The DOI name of a publication which describes and references the data. The publications should include more information about the data and how it was processed. This MUST NOT be a DOI link. For all DOI names respective DOI links SHOULD be added to the links section (see chapter "Relation types"). **citation** - Human-readable reference (citation) of a publication which describes and references the data. The publications should include more information about the data and how it was processed. No specific citation style is suggested, but a citation should contain all information required to find the publication distinctively. ## Relation types This extension adds the following types as applicable `rel` types for the [Link Object](../../item-spec/item-spec.md#link-object): | Type | Description | | ------- | ----------- | | cite-as | For all DOI names specified the respective DOI links SHOULD be added to the links section with the `rel` type `cite-as` (see the [IETF draft](https://tools.ietf.org/id/draft-vandesompel-citeas-03.html)). | ## Implementations None yet, still in proposal stage. stac-validator-4.2.2/tests/test_data/1beta2/extensions/scientific/examples/000077500000000000000000000000001517436701200267675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/scientific/examples/collection.json000066400000000000000000000054011517436701200320150ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": ["scientific"], "id": "MERRAclim", "title": "MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling.", "description": "Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic continent, a landmass covering c. 20% of the Southern Hemisphere and increasingly showing biological effects of global change. Here we introduce MERRAclim, a global set of satellite-based bioclimatic variables including Antarctica for the first time. MERRAclim consists of three datasets of 19 bioclimatic variables that have been built for each of the last three decades (1980s, 1990s and 2000s) using hourly data of 2 m temperature and specific humidity. We provide MERRAclim at three spatial resolutions (10 arc-minutes, 5 arc-minutes and 2.5 arc-minutes). These reanalysed data are comparable to widely used datasets based on ground station interpolations, but allow extending their geographical reach and SDM building in previously uncovered regions of the globe.", "keywords": ["bioclimatic","MERRAclim","macroecology","biogeography"], "license": "CC0-1.0", "extent": { "spatial": { "bbox": [[-180,-90,180,90]] }, "temporal": { "interval": [["1980-01-01T00:00:00Z","2009-12-31T23:59:59Z"]] } }, "sci:doi": "10.5061/dryad.s2v81.2", "sci:citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Dryad Digital Repository.", "sci:publications": [ { "doi": "10.1038/sdata.2017.78", "citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Scientific Data 4: 170078." } ], "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/collection.json" }, { "rel": "item", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/item.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/collection.json" }, { "rel": "cite-as", "href": "https://doi.org/10.5061/dryad.s2v81.2" }, { "rel": "cite-as", "href": "https://doi.org/10.1038/sdata.2017.78" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/scientific/examples/item.json000066400000000000000000000045261517436701200306270ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "scientific", "checksum" ], "id": "MERRAclim.2_5m_min_80s", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [-180,-90], [180,-90], [180,90], [-180,90], [-180,-90] ] ] }, "bbox": [-180,-90,180,90], "properties": { "title": "MERRAclim. 2_5m_min_80s", "description": "MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.", "datetime": "1985-07-01T00:00:00Z", "start_datetime": "1980-01-01T00:00:00Z", "end_datetime": "1989-12-31T23:59:59Z", "sci:doi": "10.5061/dryad.s2v81.2/27.2", "sci:publications": [ { "doi": "10.5061/dryad.s2v81.2", "citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Dryad Digital Repository." }, { "doi": "10.1038/sdata.2017.78", "citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Scientific Data 4: 170078." } ] }, "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/item.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/catalog.json" }, { "rel": "cite-as", "href": "https://doi.org/10.5061/dryad.s2v81.2/27.2" }, { "rel": "cite-as", "href": "https://doi.org/10.5061/dryad.s2v81.2" }, { "rel": "cite-as", "href": "https://doi.org/10.1038/sdata.2017.78" } ], "assets": { "primary": { "href": "https://datadryad.org/stash/downloads/file_stream/100467", "type": "application/zip", "title": "MERRAclim. 2_5m_min_80s", "checksum:multihash": "90e4021044a8995dd50b6657a037a7839304535b" } } } stac-validator-4.2.2/tests/test_data/1beta2/extensions/scientific/json-schema/000077500000000000000000000000001517436701200273605ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/scientific/json-schema/schema.json000066400000000000000000000046431517436701200315220ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/scientific/json-schema/schema.json#", "title": "Scientific Extension", "description": "STAC Scientific Extension to STAC Items or STAC Collections.", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/stac_extensions" }, { "type": "object", "required": [ "properties" ], "properties": { "properties": { "$ref": "#/definitions/scientific" } } } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/scientific" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "scientific", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/scientific/json-schema/schema.json" ] } } } }, "scientific": { "type": "object", "anyOf": [ {"required": ["sci:doi"]}, {"required": ["sci:citation"]}, {"required": ["sci:publications"]} ], "properties": { "sci:doi": { "type": "string", "title": "Data DOI", "pattern": "^(10[.][0-9]{4,}(?:[.][0-9]+)*/(?:(?![%\"#? ])\\S)+)$" }, "sci:citation": { "type": "string", "title": "Proposed Data Citation" }, "sci:publications": { "type": "array", "title": "Publications", "items": { "type": "object", "properties": { "doi": { "type": "string", "title": "Publication DOI", "pattern": "^(10[.][0-9]{4,}(?:[.][0-9]+)*/(?:(?![%\"#? ])\\S)+)$" }, "citation": { "type": "string", "title": "Publication Citation" } } } } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/single-file-stac/000077500000000000000000000000001517436701200261575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/single-file-stac/README.md000066400000000000000000000035621517436701200274440ustar00rootroot00000000000000# Single File STAC Specification - **Title: Single File STAC** - **Identifier: single-file-stac** - **Field Name Prefix: -** - **Scope: Catalog** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** An extension to provide a set of Collections and Items within a single file catalog. The single file is a STAC catalog that contains everything that would normally be in a linked set of STAC files. This format is useful to save a portion of a catalog, or when creating a small catalog from derived data that should remain portable. It is most useful for saving the results of a search from a STAC API, as the Items, Collections, and optionally the search parameters are all saved within the single file. Hierarchical links have no meaning in a single file STAC, and so, if present, should be removed when creating a single file catalog. - [Example](examples/example-search.json) - [JSON Schema](json-schema/schema.json) ## Catalog fields A Single File STAC is a complete [Catalog Object](../../catalog-spec/catalog-spec.md) presented as a [GeoJSON FeatureCollection](https://tools.ietf.org/html/rfc7946#section-3.3) contained in a single file. | Field Name | Type | Description | | ------------------ | ------ | ------------------------------------------------------------ | | type | string | **REQUIRED.** Type of the GeoJSON Object. MUST be set to `FeatureCollection`. | | collections | \[[Collection](../../collection-spec/collection-spec.md#collection-fields)] | An array of STAC Collections that are used by any of the Items in the catalog. | | features | **REQUIRED.** \[[Item](../../item-spec/item-spec.md#item-fields)] | An array of STAC Items | ## Implementations - [sat-search](https://github.com/sat-utils/sat-search) uses the Single File Catalog to save and load search results. stac-validator-4.2.2/tests/test_data/1beta2/extensions/single-file-stac/examples/000077500000000000000000000000001517436701200277755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/single-file-stac/examples/example-search.json000066400000000000000000000471521517436701200335770ustar00rootroot00000000000000{ "id": "mysearchresults", "stac_version": "1.0.0-beta.2", "stac_extensions": [ "single-file-stac" ], "description": "A bunch of results from a search", "type": "FeatureCollection", "features": [ { "stac_version": "1.0.0-beta.2", "stac_extensions": [ "projection", "view", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "type": "Feature", "id": "LC80370332018039LGN00", "collection": "landsat-8-l1", "bbox": [ -112.21054, 37.83042, -109.4992, 39.95532 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -111.6768167850251, 39.952817693022276 ], [ -109.5010938553632, 39.55607811527241 ], [ -110.03573868784865, 37.83172334507642 ], [ -112.20846353249907, 38.236456540046845 ], [ -111.6768167850251, 39.952817693022276 ] ] ] }, "properties": { "datetime": "2018-02-08T18:02:15.719478+00:00", "view:sun_azimuth": 152.63804142, "view:sun_elevation": 31.82216637, "landsat:product_id": "LC08_L1TP_037033_20180208_20180221_01_T1", "landsat:scene_id": "LC80370332018039LGN00", "landsat:processing_level": "L1TP", "landsat:tier": "T1", "proj:epsg": 32612 }, "assets": { "index": { "type": "text/html", "title": "HTML index page", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/index.html" }, "thumbnail": { "title": "Thumbnail image", "type": "image/jpeg", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_thumb_large.jpg" }, "B1": { "type": "image/tiff; application=geotiff", "title": "Band 1 (coastal)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B1.TIF" }, "B2": { "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B2.TIF" }, "B3": { "type": "image/tiff; application=geotiff", "title": "Band 3 (green)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B3.TIF" }, "B4": { "type": "image/tiff; application=geotiff", "title": "Band 4 (red)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B4.TIF" }, "B5": { "type": "image/tiff; application=geotiff", "title": "Band 5 (nir)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B5.TIF" }, "B6": { "type": "image/tiff; application=geotiff", "title": "Band 6 (swir16)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B6.TIF" }, "B7": { "type": "image/tiff; application=geotiff", "title": "Band 7 (swir22)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B7.TIF" }, "B8": { "type": "image/tiff; application=geotiff", "title": "Band 8 (pan)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B8.TIF" }, "B9": { "type": "image/tiff; application=geotiff", "title": "Band 9 (cirrus)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B9.TIF" }, "B10": { "type": "image/tiff; application=geotiff", "title": "Band 10 (lwir)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B10.TIF" }, "B11": { "type": "image/tiff; application=geotiff", "title": "Band 11 (lwir)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B11.TIF" }, "ANG": { "title": "Angle coefficients file", "type": "text/plain", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_ANG.txt" }, "MTL": { "title": "original metadata file", "type": "text/plain", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_MTL.txt" }, "BQA": { "title": "Band quality data", "type": "image/tiff; application=geotiff", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_BQA.TIF" } }, "links": [] }, { "stac_version": "1.0.0-beta.2", "stac_extensions": [ "projection", "view", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "type": "Feature", "id": "LC80340332018034LGN00", "collection": "landsat-8-l1", "bbox": [ -107.6044, 37.8096, -104.86884, 39.97508 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -107.03912158283073, 39.975078807631036 ], [ -104.87161559271382, 39.548160703908025 ], [ -105.43927721248009, 37.81075859503169 ], [ -107.60423259994965, 38.24485405534073 ], [ -107.03912158283073, 39.975078807631036 ] ] ] }, "properties": { "datetime": "2018-02-03T17:43:44Z", "view:sun_azimuth": 153.39513457, "view:sun_elevation": 30.41894816, "landsat:product_id": "LC08_L1TP_034033_20180203_20180220_01_T1", "landsat:scene_id": "LC80340332018034LGN00", "landsat:processing_level": "L1TP", "landsat:tier": "T1", "proj:epsg": 32613 }, "assets": { "index": { "type": "text/html", "title": "HTML index page", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/index.html" }, "thumbnail": { "title": "Thumbnail image", "type": "image/jpeg", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_thumb_large.jpg" }, "B1": { "type": "image/tiff; application=geotiff", "title": "Band 1 (coastal)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B1.TIF" }, "B2": { "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B2.TIF" }, "B3": { "type": "image/tiff; application=geotiff", "title": "Band 3 (green)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B3.TIF" }, "B4": { "type": "image/tiff; application=geotiff", "title": "Band 4 (red)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B4.TIF" }, "B5": { "type": "image/tiff; application=geotiff", "title": "Band 5 (nir)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B5.TIF" }, "B6": { "type": "image/tiff; application=geotiff", "title": "Band 6 (swir16)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B6.TIF" }, "B7": { "type": "image/tiff; application=geotiff", "title": "Band 7 (swir22)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B7.TIF" }, "B8": { "type": "image/tiff; application=geotiff", "title": "Band 8 (pan)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B8.TIF" }, "B9": { "type": "image/tiff; application=geotiff", "title": "Band 9 (cirrus)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B9.TIF" }, "B10": { "type": "image/tiff; application=geotiff", "title": "Band 10 (lwir)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B10.TIF" }, "B11": { "type": "image/tiff; application=geotiff", "title": "Band 11 (lwir)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B11.TIF" }, "ANG": { "title": "Angle coefficients file", "type": "text/plain", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_ANG.txt" }, "MTL": { "title": "original metadata file", "type": "text/plain", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_MTL.txt" }, "BQA": { "title": "Band quality data", "type": "image/tiff; application=geotiff", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_BQA.TIF" } }, "links": [] } ], "collections": [ { "id": "landsat-8-l1", "title": "Landsat 8 L1", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "keywords": [ "landsat", "earth observation", "usgs" ], "stac_version": "1.0.0-beta.2", "stac_extensions": [ "item_assets" ], "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2013-06-01T00:00:00Z", null ] ] } }, "providers": [ { "name": "USGS", "roles": [ "producer" ], "url": "https://landsat.usgs.gov/" }, { "name": "Planet Labs", "roles": [ "processor" ], "url": "https://github.com/landsat-pds/landsat_ingestor" }, { "name": "AWS", "roles": [ "host" ], "url": "https://landsatonaws.com/" }, { "name": "Development Seed", "roles": [ "processor" ], "url": "https://github.com/sat-utils/sat-api" } ], "license": "PDDL-1.0", "summaries": { "gsd": [15], "platform": ["landsat-8"], "instruments": ["oli", "tirs"], "view:off_nadir": [0] }, "item_assets": { "index": { "type": "text/html", "title": "HTML index page" }, "thumbnail": { "title": "Thumbnail image", "type": "image/jpeg" }, "B1": { "type": "image/tiff; application=geotiff", "title": "Band 1 (coastal)" }, "B2": { "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)" }, "B3": { "type": "image/tiff; application=geotiff", "title": "Band 3 (green)" }, "B4": { "type": "image/tiff; application=geotiff", "title": "Band 4 (red)" }, "B5": { "type": "image/tiff; application=geotiff", "title": "Band 5 (nir)" }, "B6": { "type": "image/tiff; application=geotiff", "title": "Band 6 (swir16)" }, "B7": { "type": "image/tiff; application=geotiff", "title": "Band 7 (swir22)" }, "B8": { "type": "image/tiff; application=geotiff", "title": "Band 8 (pan)" }, "B9": { "type": "image/tiff; application=geotiff", "title": "Band 9 (cirrus)" }, "B10": { "type": "image/tiff; application=geotiff", "title": "Band 10 (lwir)" }, "B11": { "type": "image/tiff; application=geotiff", "title": "Band 11 (lwir)" }, "ANG": { "title": "Angle coefficients file", "type": "text/plain" }, "MTL": { "title": "original metadata file", "type": "text/plain" }, "BQA": { "title": "Band quality data", "type": "image/tiff; application=geotiff" } }, "links": [ { "rel": "self", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod/collections/landsat-8-l1" }, { "rel": "parent", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod" }, { "rel": "root", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod" }, { "rel": "items", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod/collections/landsat-8-l1/items" } ] } ], "links": [] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/single-file-stac/json-schema/000077500000000000000000000000001517436701200303665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/single-file-stac/json-schema/schema.json000066400000000000000000000024711517436701200325250ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/single-file-stac/json-schema/schema.json#", "title": "Single File STAC Extension", "description": "Single File STAC Extension to combine Collections and Items in single file catalog", "allOf": [ { "$ref": "../../../catalog-spec/json-schema/catalog.json" }, { "$ref": "https://geojson.org/schema/FeatureCollection.json" }, { "$ref": "#/definitions/single-file-stac" } ], "definitions": { "single-file-stac": { "type": "object", "required": [ "stac_extensions", "features" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "single-file-stac", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/single-file-stac/json-schema/schema.json" ] } }, "collections": { "type": "array", "items": { "$ref": "../../../collection-spec/json-schema/collection.json" } }, "features": { "type": "array", "items": { "$ref": "../../../item-spec/json-schema/item.json" } } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/tiled-assets/000077500000000000000000000000001517436701200254325ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/tiled-assets/README.md000066400000000000000000000275061517436701200267230ustar00rootroot00000000000000# Tiled Assets specification - **Title: Tiled Assets** - **Identifier: tiled-assets** - **Field Name Prefix: tiles** - **Scope: Item, Catalog, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** Some data products are too big to be handled in a single file or a small set of enumerated files and are thus split into tiles. For example, Sentinel-2 datastrips are tiled into overlapping granules, in some cases in even more than one coordinate reference system. Other very big datasets, such as continental or global mosaics can also only be handled in a tiled fashion. Usually, they go one step further and provide multiple layers of resolution to allow a quick inspection of larger areas but also retain the possibility to get to the full resolution data. When a very large dataset is split into many tiles it is very impractical to list all possible files with the `assets` property. This extension allows the specification of tiled assets within STAC Items. With this extension it is possible to allow the description of assets using template references and rules to construct those in order to get the tiles the user is interested in. The new `asset_templates` property allows to specify template URLs where components can be replaced to get the final URLs to the actual files. This extension is modelled in close alignment to the [OGC Two Dimensional Tile Matrix Set](http://docs.opengeospatial.org/is/17-083r2/17-083r2.html). The main access approach and the templating mechanism used is defined in the [OGC WMTS Simple Profile](http://docs.opengeospatial.org/is/13-082r2/13-082r2.html). - Examples: [Tiled](examples/example-tiled.json), [Dimension](examples/example-dimension.json) - [JSON Schema](json-schema/schema.json) ## Item, Collection and Catalog properties | Field Name | Type | Description | | ------------------------ | --------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | | tiles:tile_matrix_sets | Map | **REQUIRED for Collections and Catalogs.** A mapping of tile matrix set identifier to a tile matrix set link object. | ### Tile Matrix Set Object Tile matrix sets can be directly embedded in a collection, catalog or item. Such directly embedded tile matrix set objects must conform to the [OGC Two Dimensional Tile Matrix Set JSON schema](http://schemas.opengis.net/tms/1.0/json/tms-schema.json). ## Item properties | Field Name | Type | Description | | --------------------------- | --------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------- | | tiles:tile_matrix_set_links | Map | A mapping of tile matrix set identifier to a tile matrix set link object. | The keys of the `tiles:tile_matrix_set_links` mapping can be used as a substitution of the `{TileMatrixSet}` template parameters for the `href` field of the [Asset Object](../../item-spec/item-spec.md#asset-object) used as `asset_template`. ### Tile Matrix Set Link Object This object allows to reference a tile matrix set. This concept is modelled after the [TileMatrixSetLink2D requirement class](http://docs.opengeospatial.org/is/17-083r2/17-083r2.html#18). | Field Name | Type | Description | | -------------------- | ------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- | | url | string | The URL reference to the actual tile matrix definition. | | well_known_scale_set | string | If the tile matrix set completely aligns with a well known scale set can be referenced. | | limits | Map | Optional limits for each tile matrix. | | pixel_buffer | Map | An optional pixel buffer description object per tile matrix. By default, no pixel buffers are used. | **url**/**well_known_scale_set**: Either one of these parameters must be present. **url**: The URL must refer to a valid tile matrix set definition as defined in the Two-dimensional tile matrix set specification in any encoding (JSON, JSON-LD, or XML). It is also possible, to have the tile matrix set embedded in the items collection, catalog or even in the items file itself using the `tiles:tile_matrix_sets` property. When refering to an embedded tile matrix set definition, the name of the map key of that tile matrix set definition must be used as a URL fragment. Example reference to an external tile matrix definition: ```js "url": "http://schemas.opengis.net/tms/1.0/json/examples/WebMercatorQuad.json" ``` Example reference to an embedded definition in a collection: ```js "url": "https://example.com/collections/stac.json#WebMercatorQuad" ``` Example reference to an embedded definition in the same item: ```js "url": "#WebMercatorQuad" ``` **limits**: The keys of the map are the identifiers of the tile matrices in their respective tile matrix set. When present, only the referenced tile matrices are used for the assets. When the `limits` are not present, the tile matrix set in full is referenced. **pixel_buffer**: For each tile matrix in a tile matrix set, a pixel buffer can be specified. Similarly to the `limits` property, the key of the mapping must be the identifier of one tile matrix. ### Tile Matrix Limits Object This object allows to specify subset region of the source tileset. This concept is modelled after the [TileMatrixSetLimits2D requirement class](http://docs.opengeospatial.org/is/17-083r2/17-083r2.html#17). | Field Name | Type | Description | | ------------- | ------- | --------------------------------------------------------------------------------------------------------------------- | | min_tile_row | number | Minimum tile row index valid for this layer. If not specified it uses the the one from the referenced tile matrix. | | max_tile_row | number | Maximum tile row index valid for this layer. If not specified it uses the the one from the referenced tile matrix. | | min_tile_col | number | Minimum tile column index valid for this layer. If not specified it uses the the one from the referenced tile matrix. | | max_tile_col | number | Maximum tile column index valid for this layer. If not specified it uses the the one from the referenced tile matrix. | ### Pixel Buffer Object Pixel buffer objects allow the definition of image boundarys, so that the internal tiles may overlap. When using this information, the clients may be able to reduce the number of requests. | Field Name | Type | Description | | ------------- | ------- | ------------------------------------------------------------------------------------------------------------------ | | top | number | The size of the pixel-buffer in the top border of the image. Default is `0`. | | left | number | The size of the pixel-buffer in the left border of the image. Default is `0`. | | bottom | number | The size of the pixel-buffer in the bottom border of the image. Default is `0`. | | right | number | The size of the pixel-buffer in the right border of the image. Default is `0`. | | border_top | boolean | Whether or not the pixel-buffer is included images on the top border of the first tile row. Default is `true`. | | border_left | boolean | Whether or not the pixel-buffer is included images on the left border of the first tile column. Default is `true`. | | border_bottom | boolean | Whether or not the pixel-buffer is included images on the bottom border of the last tile row. Default is `true`. | | border_right | boolean | Whether or not the pixel-buffer is included images on the right border of the last tile column. Default is `true`. | ## Item fields | Field Name | Type | Description | | ------------------- | ---------------------------------------------------------------------- | --------------------------------------------------------------------------------------------- | | asset_templates | Map | **REQUIRED.** An map key to Asset objects that use template parameters for later substitution | **asset_templates**: The `href` field can make use of template parameters that can be replaced with values to generate references to actual files. The available template parameters are `{TileMatrixSet}`, `{TileMatrix}`, `{TileRow}`, and `{TileCol}`. The templating mechanism is detailed in the [OGC WMTS Simple Profile](http://docs.opengeospatial.org/is/13-082r2/13-082r2.html#17). Additional template substitution parameters may be present, see the next section for more details. Also: it is not mandatory, that all template parameters are present. If, for example, the data is only available in one specific tile matrix, then that parameter can be omitted. It is possible, for whatever reason, to have the same template parameter more than once in the same template string. ### Template Parameters from other extensions | Extension | Property | Template parameter | Mapping description | | ------------- | ---------- | -------------------------- | ----------------------------------------------------------------------------------------------------------------- | | eo | bands | `{eo:band}` | Each bands name can be used as a substitution value for this bands parameter. | | datacube | dimensions | `{cube:dimensions:}` | The template parameter must specify which dimension it refers to by replacing the ``. Any value that is representable via a `dimension` can be used as a substitution. | This list is not exhaustive, other useful template substitutions may exist. ### Template examples * Plain: `http://example.com/data/{TileMatrixSet}/{TileMatrix}/{TileRow}/{TileCol}.jpeg` * Using `eo:bands`: `http://example.com/data/{TileMatrixSet}/{TileMatrix}/{TileRow}/{TileCol}/{eo:bands}.jpeg` * Using `cube:dimensions`: `http://example.com/data/{TileMatrixSet}/{TileMatrix}/{TileRow}/{TileCol}/{cube:dimensions:elevation}.jpeg` ## Implementations None. Still in proposal stage stac-validator-4.2.2/tests/test_data/1beta2/extensions/tiled-assets/examples/000077500000000000000000000000001517436701200272505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/tiled-assets/examples/example-dimension.json000066400000000000000000000167351517436701200335750ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "datacube", "eo", "tiled-assets" ], "id": "sen2l2a-cog-converted", "type": "Feature", "bbox": [ 14.326171874999998, 48.603515625, 14.501953125000002, 48.33984374999999 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 14.326257705688475, 48.33992958068847 ], [ 14.501867294311525, 48.33992958068847 ], [ 14.501867294311525, 48.60342979431152 ], [ 14.326257705688475, 48.60342979431152 ], [ 14.326257705688475, 48.33992958068847 ] ] ] }, "properties": { "datetime": "2018-01-01T00:00:00Z", "start_datetime": "2018-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "platform": "sentinel-2", "instruments": [ "msi" ], "gsd": 10, "cube:dimensions": { "timeSpan": { "type": "enumeration", "values": [ "2018-02-26_2018-03-11", "2018-03-12_2018-03-16", "2018-03-17_2018-04-01", "2018-04-02_2018-04-17", "2018-04-18_2018-05-02" ] } } }, "asset_templates": { "B02": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B02.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B2", "common_name": "blue" } ] }, "B03": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B03.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B3", "common_name": "green" } ] }, "B04": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B04.tif", "title": "", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red" } ] }, "B05": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B05.tif", "title": "", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B5" } ] }, "B06": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B06.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B6" } ] }, "B07": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B07.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B7" } ] }, "B08": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B08.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B8", "common_name": "nir" } ] }, "B11": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/{cube:dimensions:timeSpan}_s2_l2a/{cube:dimensions:timeSpan}_s2_l2a_B11.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B11" } ] } }, "assets": { "B02": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B02.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B2", "common_name": "blue" } ] }, "B03": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B03.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B3", "common_name": "green" } ] }, "B04": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B04.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red" } ] }, "B05": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B05.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B5" } ] }, "B06": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B06.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B6" } ] }, "B07": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B07.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B7" } ] }, "B08": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B08.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B8", "common_name": "nir" } ] }, "B11": { "href": "http://cloudless.eox.at/sen2l2a-cog-converted/2018-02-26_2018-03-11_s2_l2a/2018-02-26_2018-03-11_s2_l2a_B11.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B11" } ] } }, "links": [ { "rel": "self", "href": "http://cloudless.eox.at/sen2l2a-cog-converted.json" }, { "rel": "root", "href": "http://cloudless.eox.at/stac.json" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/tiled-assets/examples/example-tiled.json000066400000000000000000000214661517436701200327060ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "eo", "tiled-assets" ], "id": "s2cloudless_2018", "type": "Feature", "bbox": [ -180, 90, 180, 90 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 180, 90 ], [ -180, 90 ], [ -180, -90 ], [ 180, -90 ], [ 180, 90 ] ] ] }, "properties": { "collection": "s2cloudless", "datetime": "2018-01-01T00:00:00Z", "start_datetime": "2018-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "platform": "sentinel-2", "instruments": [ "msi" ], "gsd": 10, "tiles:tile_matrix_links": { "WebMercatorQuad": { "url": "http://schemas.opengis.net/tms/1.0/json/examples/WebMercatorQuad.json", "limits": { "0": {}, "1": { "min_tile_col": 0, "max_tile_col": 0, "min_tile_row": 0, "max_tile_row": 0 }, "2": { "min_tile_col": 1, "max_tile_col": 1, "min_tile_row": 2, "max_tile_row": 2 }, "3": { "min_tile_col": 2, "max_tile_col": 2, "min_tile_row": 4, "max_tile_row": 4 }, "4": { "min_tile_col": 4, "max_tile_col": 5, "min_tile_row": 8, "max_tile_row": 9 } } } }, "tiles:tile_matrix_sets": { "WebMercatorQuad": { "type": "TileMatrixSetType", "title": "Google Maps Compatible for the World", "identifier": "WebMercatorQuad", "boundingBox": { "type": "BoundingBoxType", "crs": "http://www.opengis.net/def/crs/EPSG/0/3857", "lowerCorner": [ -20037508.3427892, -20037508.3427892 ], "upperCorner": [ 20037508.3427892, 20037508.3427892 ] }, "supportedCRS": "http://www.opengis.net/def/crs/EPSG/0/3857", "wellKnownScaleSet": "http://www.opengis.net/def/wkss/OGC/1.0/GoogleMapsCompatible", "tileMatrix": [ { "type": "TileMatrixType", "identifier": "0", "scaleDenominator": 559082264.028717, "topLeftCorner": [ -20037508.3427892, 20037508.3427892 ], "tileWidth": 256, "tileHeight": 256, "matrixWidth": 1, "matrixHeight": 1 }, { "type": "TileMatrixType", "identifier": "1", "scaleDenominator": 279541132.014358, "topLeftCorner": [ -20037508.3427892, 20037508.3427892 ], "tileWidth": 256, "tileHeight": 256, "matrixWidth": 2, "matrixHeight": 2 }, { "type": "TileMatrixType", "identifier": "2", "scaleDenominator": 139770566.007179, "topLeftCorner": [ -20037508.3427892, 20037508.3427892 ], "tileWidth": 256, "tileHeight": 256, "matrixWidth": 4, "matrixHeight": 4 }, { "type": "TileMatrixType", "identifier": "3", "scaleDenominator": 69885283.0035897, "topLeftCorner": [ -20037508.3427892, 20037508.3427892 ], "tileWidth": 256, "tileHeight": 256, "matrixWidth": 8, "matrixHeight": 8 }, { "type": "TileMatrixType", "identifier": "4", "scaleDenominator": 34942641.5017948, "topLeftCorner": [ -20037508.3427892, 20037508.3427892 ], "tileWidth": 256, "tileHeight": 256, "matrixWidth": 16, "matrixHeight": 16 } ] } } }, "asset_templates": { "bands": { "href": "http://cloudless.eox.at/s2cloudless_2018/{TileMatrixSet}/{TileRow}/{TileCol}.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red" }, { "name": "B3", "common_name": "green" }, { "name": "B2", "common_name": "blue" }, { "name": "B8", "common_name": "nir" } ] }, "B02": { "href": "http://cloudless.eox.at/s2cloudless_2018/{TileMatrixSet}/{TileRow}/{TileCol}_B02.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B2", "common_name": "blue" } ] }, "B03": { "href": "http://cloudless.eox.at/s2cloudless_2018/{TileMatrixSet}/{TileRow}/{TileCol}_B03.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B3", "common_name": "green" } ] }, "B04": { "href": "http://cloudless.eox.at/s2cloudless_2018/{TileMatrixSet}/{TileRow}/{TileCol}_B04.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red" } ] }, "B08": { "href": "http://cloudless.eox.at/s2cloudless_2018/{TileMatrixSet}/{TileRow}/{TileCol}_B08.tif", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B8", "common_name": "nir" } ] } }, "assets": { "thumbnail": { "href": "http://cloudless.eox.at/s2cloudless_2018/0/0/0.tif", "title": "Overview of the whole tiled dataset.", "type": "image/tiff; application=geotiff", "eo:bands": [ { "name": "B4", "common_name": "red" }, { "name": "B3", "common_name": "green" }, { "name": "B2", "common_name": "blue" }, { "name": "B8", "common_name": "nir" } ] } }, "links": [ { "rel": "self", "href": "http://cloudless.eox.at/s2cloudless_2018/stac.json" }, { "rel": "parent", "href": "http://cloudless.eox.at/s2cloudless/stac.json" }, { "rel": "root", "href": "http://cloudless.eox.at/stac.json" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/tiled-assets/json-schema/000077500000000000000000000000001517436701200276415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/tiled-assets/json-schema/schema.json000066400000000000000000000161131517436701200317760ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/tiled-assets/json-schema/schema.json#", "title": "Tiled Assets Extension", "description": "Tiled Assets Extension to a STAC Item", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/item-tiles" } ] }, { "allOf": [ { "$ref": "../../../catalog-spec/json-schema/catalog.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/catalog-collection-tiles" } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/catalog-collection-tiles" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "tiled-assets", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/tiled-assets/json-schema/schema.json" ] } } } }, "catalog-collection-tiles": { "title": "Tile matrix additions to STAC Collections and Catalogs", "description": "Allows the definition of tile matrix sets on a Collection or Catalog.", "type": "object", "required": [ "tiles:tile_matrix_set" ], "properties": { "tiles:tile_matrix_set": { "$ref": "#/definitions/tile_matrix_set" } } }, "item-tiles": { "type": "object", "required": [ "properties", "asset_templates" ], "properties": { "properties": { "type": "object", "required": [], "properties": { "tiles:tile_matrix_set": { "$ref": "#/definitions/tile_matrix_set" }, "tiles:tile_matrix_links": { "title": "A map of tile matrix identifier to its definition with possible limits.", "type": "object", "patternProperties": { "[a-zA-Z0-9]+": { "$ref": "#/definitions/tile_matrix_link" } } } } }, "asset_templates": { "title": "Asset template links", "description": "Links to assets templates. These are regular assets that may have template arguments in their href property.", "type": "object", "additionalProperties": { "$ref": "../../../item-spec/json-schema/item.json#/definitions/asset" } } } }, "tile_matrix_set": { "$ref": "http://schemas.opengis.net/tms/1.0/json/tms-schema.json" }, "tile_matrix_link": { "type": "object", "oneOf": [ { "required": ["url"] }, { "required": ["well_known_scale_set"] } ], "properties": { "url": { "type": "string", "description": "The URL to access the linked tile matrix set." }, "well_known_scale_set": { "type": "string", "description": "The name of a Well Known Scale Set.", "enum": [ "GlobalCRS84Scale", "GlobalCRS84Pixel", "GoogleCRS84Quad", "WorldMercatorWGS84" ] }, "limits": { "type": "object", "description": "Optional limits for each tile matrix. Keys in this mapping must be all be valid tile matrix identifiers of the reference tile matrix set.", "additionalProperties": { "$ref": "#/definitions/tile_matrix_limits" } }, "pixel_buffer": { "type": "object", "description": "An optional pixel buffer description object per tile matrix. By default, no pixel buffers are used. Keys in this mapping must be all be valid tile matrix identifiers of the reference tile matrix set.", "additionalProperties": { "$ref": "#/definitions/pixel_buffer" } } } }, "tile_matrix_limits": { "type": "object", "description": "This object allows to specify subset region of the source tileset. This concept is modelled after the TileMatrixSetLimits2D requirement class.", "properties": { "min_tile_row": { "type": "integer", "description": "Minimum tile row index valid for this layer. If not specified it uses the the one from the referenced tile matrix." }, "max_tile_row": { "type": "integer", "description": "Maximum tile row index valid for this layer. If not specified it uses the the one from the referenced tile matrix." }, "min_tile_col": { "type": "integer", "description": "Minimum tile column index valid for this layer. If not specified it uses the the one from the referenced tile matrix." }, "max_tile_col": { "type": "integer", "description": "Maximum tile column index valid for this layer. If not specified it uses the the one from the referenced tile matrix." } } }, "pixel_buffer": { "type": "object", "properties": { "top": { "type": "integer", "description": "The size of the pixel-buffer in the top border of the image. Default is `0`.", "minimum": 0 }, "left": { "type": "integer", "description": "The size of the pixel-buffer in the left border of the image. Default is `0`.", "minimum": 0 }, "bottom": { "type": "integer", "description": "The size of the pixel-buffer in the bottom border of the image. Default is `0`.", "minimum": 0 }, "right": { "type": "integer", "description": "The size of the pixel-buffer in the right border of the image. Default is `0`.", "minimum": 0 }, "border_top": { "type": "boolean", "description": "Whether or not the pixelbuffer is included images on the top border of the first tile row. Default is `true`." }, "border_left": { "type": "boolean", "description": "Whether or not the pixelbuffer is included images on the left border of the first tile column. Default is `true`." }, "border_bottom": { "type": "boolean", "description": "Whether or not the pixelbuffer is included images on the bottom border of the last tile row. Default is `true`." }, "border_right": { "type": "boolean", "description": "Whether or not the pixelbuffer is included images on the right border of the last tile row. Default is `true`." } } } } } stac-validator-4.2.2/tests/test_data/1beta2/extensions/timestamps/000077500000000000000000000000001517436701200252175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/timestamps/README.md000066400000000000000000000047031517436701200265020ustar00rootroot00000000000000# Timestamps Extension Specification - **Title: Timestamps** - **Identifier: timestamps** - **Field Name Prefix: -** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the Timestamps Extension to a STAC Item. Allows to specify numerous timestamps for assets and metadata in addition to [`created`, `updated` and `datetime` (incl. start and end)](../../item-spec/common-metadata.md#date-and-time). - [Example (Landsat 8)](examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) ## Item fields | Field Name | Type | Description | | ----------- | ------ | ----------- | | published | string | Date and time the corresponding data (see below) was published the first time. | | expires | string | Date and time the corresponding data (see below) expires (is not valid any longer). | | unpublished | string | Date and time the corresponding data (see below) was unpublished. | *At least one of the fields must be specified.* All timestamps MUST be formatted according to [RFC 3339, section 5.6](https://tools.ietf.org/html/rfc3339#section-5.6). The timestamps have different meaning depending on where they are used. If those fields are available in the Item `properties`, it's referencing to the timestamps valid for of the metadata. Having those fields in the Item `assets` refers to the timestamps valid for the actual data linked to in the Asset Object. ### Lifecycle An overview over the lifecycle of data and their corresponding timestamps: 1. Data capture, start: `start_datetime` 2. Data capture, often center: `datetime` 3. Data capture, end: `end_datetime` 4. Data first modified (stored): `created` 5. Data last modified: `updated` 6. Data first published: `published` 7. Data last published: N/A 8. Data valid until: `expires` 9. Data removed / unpublished: `unpublished` ## Implementations - [openEO](https://api.openeo.org) implements the `expires` field. ## Outlook Once these fields get broadly adopted, it is planned to move them to Common Metadata and place them together with `created` and `updated`. As this extension doesn't have a prefix, it doesn't lead to any breaking changes and the thus it is only a structural change for the specification. This fields - together with `created` and `updated` - also seem relevant for STAC Collections and may be adopted there, too, for both metadata and [collection-level assets](../collection-assets/README.md). stac-validator-4.2.2/tests/test_data/1beta2/extensions/timestamps/examples/000077500000000000000000000000001517436701200270355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/timestamps/examples/example-landsat8.json000066400000000000000000000054751517436701200331120ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "timestamps" ], "id": "LC08_L1TP_107018_20181001", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "datetime": "2018-10-01T01:08:32Z", "created": "2018-10-02T00:00:03Z", "updated": "2020-05-20T12:13:02Z", "published": "2018-10-03T06:45:55Z", "expires": "2025-01-01T00:00:00Z", "platform": "landsat-8", "instruments": ["oli", "tirs"], "constellation": "landsat" }, "assets": { "blue": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)", "created": "2018-10-02T00:00:00Z" }, "green": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "title": "Band 3 (green)", "created": "2018-10-02T00:00:00Z" }, "red": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "title": "Band 4 (red)", "created": "2018-10-02T00:00:00Z" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg", "created": "2018-10-02T00:00:01Z" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page", "created": "2018-10-02T00:00:02Z", "updated": "2020-05-20T12:13:01Z" } }, "links": [] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/timestamps/json-schema/000077500000000000000000000000001517436701200274265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/timestamps/json-schema/schema.json000066400000000000000000000031651517436701200315660ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/timestamps/json-schema/schema.json#", "title": "Timestamps Extension", "description": "STAC Timestamps Extension to a STAC Item.", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "type": "object", "required": [ "stac_extensions", "properties", "assets" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "timestamps", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/timestamps/json-schema/schema.json" ] } }, "properties": { "$ref": "#/definitions/all" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/all" } } } } ], "definitions": { "all": { "type": "object", "properties": { "published": { "$ref": "#/definitions/published" }, "unpublished": { "$ref": "#/definitions/unpublished" }, "expires": { "$ref": "#/definitions/expires" } } }, "published": { "title": "Publish Time", "type": "string", "format": "date-time" }, "unpublished": { "title": "Removal Time", "type": "string", "format": "date-time" }, "expires": { "title": "Expiry Time", "type": "string", "format": "date-time" } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/version/000077500000000000000000000000001517436701200245165ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/version/README.md000066400000000000000000000044031517436701200257760ustar00rootroot00000000000000# Versioning Indicators Extension Specification - **Title: Versioning Indicators** - **Identifier: version** - **Field Name Prefix: -** - **Scope: Item, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This extension allows to version STAC Collections and STAC Items. Therefore, it also allows to deprecate legacy versions. Only fields and possible link relation types are defined in this extension, but it does NOT suggest any versioning best practices to structure static or dynamic catalogs. Instead check the [Versioning Best Practices for Catalogs](../../best-practices.md#versioning-for-catalogs). This extension applies to STAC Items and STAC Collections. - Examples: [Collection](examples/collection.json), [Item](examples/item.json) - [JSON Schema](json-schema/schema.json) ## Item Properties and Collection Fields For Items, the fields are placed in the `properties`. For Collections, the fields are placed on the top level of the Collection. | Field Name | Type | Description | | ---------- | ------- | ----------- | | version | string | **REQUIRED**. Version of the Collection or Item. | | deprecated | boolean | Specifies that the Collection or Item is deprecated with the potential to be removed. Defaults to `false`. It should be transitioned out of usage as soon as possible and users should refrain from using it in new projects. A link with relation type `latest-version` SHOULD be added to the links and MUST refer to the resource that can be used instead. | ## Relation types The following types should be used as applicable `rel` types for the [Link Object](../../item-spec/item-spec.md#link-object) to reference the latest version, the predecessor version and successor versions. These are all following [RFC 5829](https://tools.ietf.org/html/rfc5829). | Type | Description | | ------------------- | ----------- | | latest-version | This link points to a resource containing the latest (e.g., current) version. | | predecessor-version | This link points to a resource containing the predecessor version in the version history. | | successor-version | This link points to a resource containing the successor version in the version history. | ## Implementations None yet, still in proposal stage. stac-validator-4.2.2/tests/test_data/1beta2/extensions/version/examples/000077500000000000000000000000001517436701200263345ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/version/examples/collection.json000066400000000000000000000017241517436701200313660ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": ["version"], "id": "merraclim", "title": "MERRAclim", "description": "A high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling.", "license": "CC0-1.0", "version": "1", "deprecated": true, "extent": { "spatial": { "bbox": [[-180,-90,180,90]] }, "temporal": { "interval": [["1980-01-01T00:00:00Z","2009-12-31T23:59:59Z"]] } }, "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/collection.json" }, { "rel": "item", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/item.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/catalog.json" }, { "rel": "latest-version", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v2/collection.json" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/version/examples/item.json000066400000000000000000000033221517436701200301650ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "version" ], "id": "MERRAclim.2_5m_min_80s", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [-180,-90], [180,-90], [180,90], [-180,90], [-180,-90] ] ] }, "bbox": [-180,-90,180,90], "properties": { "version": "1", "title": "MERRAclim. 2_5m_min_80s", "description": "MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.", "datetime": "1985-07-01T00:00:00Z" }, "collection": "merraclim", "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/item.json" }, { "rel": "collection", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/collection.json" }, { "rel": "parent", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/collection.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/catalog.json" }, { "rel": "latest-version", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v2/item.json" } ], "assets": { "primary": { "href": "https://datadryad.org/stash/downloads/file_stream/100467", "type": "application/zip", "title": "MERRAclim. 2_5m_min_80s" } } } stac-validator-4.2.2/tests/test_data/1beta2/extensions/version/json-schema/000077500000000000000000000000001517436701200267255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/version/json-schema/schema.json000066400000000000000000000034131517436701200310610ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/version/json-schema/schema.json#", "title": "Versioning Indicators Extension", "description": "STAC Versioning Indicators Extension for STAC Items or STAC Collections.", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/stac_extensions" }, { "type": "object", "required": [ "properties" ], "properties": { "properties": { "$ref": "#/definitions/version_extension" } } } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/stac_extensions" }, { "$ref": "#/definitions/version_extension" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "version", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/version/json-schema/schema.json" ] } } } }, "version_extension": { "type": "object", "required": [ "version" ], "properties": { "version": { "type": "string", "title": "Version" }, "deprecated": { "type": "boolean", "title": "Deprecated", "default": false } } } } }stac-validator-4.2.2/tests/test_data/1beta2/extensions/view/000077500000000000000000000000001517436701200240035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/view/README.md000066400000000000000000000063651517436701200252740ustar00rootroot00000000000000# View Geometry Extension Specification - **Title: View Geometry** - **Identifier: view** - **Field Name Prefix: view** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the View Geometry Extension to a STAC Item. View Geometry adds metadata related to angles of sensors and other radiance angles that affect the view of resulting data. It will often be combined with other extensions that describe the actual data, such as the `eo`, `sat` or `sar` extensions. - [Example (Landsat 8)](../eo/examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) ## Item fields | Field Name | Type | Description | | -------------------- | ------------------------ | ----------- | | view:off_nadir | number | The angle from the sensor between nadir (straight down) and the scene center. Measured in degrees (0-90). | | view:incidence_angle | number | The incidence angle is the angle between the vertical (normal) to the intercepting surface and the line of sight back to the satellite at the scene center. Measured in degrees (0-90). | | view:azimuth | number | Viewing azimuth angle. The angle measured from the sub-satellite point (point on the ground below the platform) between the scene center and true north. Measured clockwise from north in degrees (0-360). | | view:sun_azimuth | number | Sun azimuth angle. From the scene center point on the ground, this is the angle between truth north and the sun. Measured clockwise in degrees (0-360). | | view:sun_elevation | number | Sun elevation angle. The angle from the tangent of the scene center point to the sun. Measured from the horizon in degrees (0-90). | *At least one of the fields must be specified.* The angles `off_nadir`, `incidence_angle`, and `sun_elevation` are angles measured on a 2d plane formed: sensor location, sub-sensor point on the earth, the sun, and the center of the viewed area. The off-nadir angle and the incidence angle are related. When the off-nadir angle is low (high incidence angle) then the two angles sum to about 90, so one can be calculated from the other. However, at high off-nadir angles with high altitude sensors the curvature of the earth has an impact and their sum will be less than 90. If only providing one of the two angles, the off-nadir angle is preferred. The angles `azimuth` and `sun_azimuth` indicate the position of the viewed scene and the sun by the angle from true north, as shown below. Example: ```js { "stac_version": "1.0.0-beta.2", "stac_extensions": [ "view", "sat" ], "id": "20171110", "type": "Feature", ... "properties": { "platform": "mysatellite", "instruments": ["mycamera1", "mycamera2"], "constellation": "allmysatellites", "view:off_nadir": 0, "view:incidence_angle": 90, "view:azimuth": 23.9, "view:sun_elevation": 45.0, "view:sun_azimuth": 56.4, "sat:orbit_state": "descending", "sat:relative_orbit": 4 } } ``` ## Implementations - No implementations yet ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to View Geometry data. stac-validator-4.2.2/tests/test_data/1beta2/extensions/view/examples/000077500000000000000000000000001517436701200256215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/view/examples/example-landsat8.json000066400000000000000000000054131517436701200316660ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [ "sat", "view" ], "id": "LC08_L1TP_107018_20181001", "collection": "landsat-8-l1", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "datetime": "2018-10-01T01:08:32.033Z", "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "view:off_nadir": 0, "view:incidence_angle": 0, "view:azimuth": 23.4, "platform": "landsat-8", "instruments": ["oli", "tirs"], "constellation": "landsat", "sat:orbit_state": "ascending" }, "assets": { "blue": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)" }, "green": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "title": "Band 3 (green)" }, "red": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "title": "Band 4 (red)" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "collection", "href": "http://landsat-stac.s3.amazonaws.com/landsat-8-l1/catalog.json" } ] } stac-validator-4.2.2/tests/test_data/1beta2/extensions/view/json-schema/000077500000000000000000000000001517436701200262125ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1beta2/extensions/view/json-schema/schema.json000066400000000000000000000040511517436701200303450ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/view/json-schema/schema.json#", "title": "View Geometry Extension", "description": "STAC View Geometry Extension to a STAC Item.", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/view" } ], "definitions": { "view": { "type": "object", "required": [ "stac_extensions", "properties" ], "properties": { "stac_extensions": { "type": "array", "contains": { "enum": [ "view", "https://schemas.stacspec.org/v1.0.0-beta.2/extensions/view/json-schema/schema.json" ] } }, "properties": { "type": "object", "anyOf": [ {"required": ["view:off_nadir"]}, {"required": ["view:incidence_angle"]}, {"required": ["view:azimuth"]}, {"required": ["view:sun_azimuth"]}, {"required": ["view:sun_elevation"]} ], "properties": { "view:off_nadir": { "title": "Off Nadir", "type": "number", "minimum": 0, "maximum": 90 }, "view:incidence_angle": { "title": "Center incidence angle", "type": "number", "minimum": 0, "maximum": 90 }, "view:azimuth": { "title": "Azimuth angle", "type": "number", "minimum": 0, "maximum": 360 }, "view:sun_azimuth": { "title": "Sun Azimuth", "type": "number", "minimum": 0, "maximum": 360 }, "view:sun_elevation": { "title": "Sun Elevation", "type": "number", "minimum": 0, "maximum": 90 } } } } } } 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Narrow NIR 0.865 (20m)", "type": "image/jp2" }, "B11_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B11.jp2", "title": "Band 11 - SWIR 1.610 (20m)", "type": "image/jp2" }, "B12_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B12.jp2", "title": "Band 12 - SWIR 2.190 (20m)", "type": "image/jp2" }, "AOT_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/AOT.jp2", "title": "Aerosol Optical Thickness (20m)", "type": "image/jp2" }, "SCL_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/SCL.jp2", "title": "Scene Classification (20m)", "type": "image/jp2" }, "TCI_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/TCI.jp2", "title": "True Color Image (20m)", "type": "image/jp2" }, "WVP_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/WVP.jp2", "title": "Water Vapor (20m)", "type": "image/jp2" }, "CLD_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/CLD_20m.jp2", "title": "Cloud (20m)", "type": "image/jp2" }, "SNW_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/SNW_20m.jp2", "title": "Snow (20m)", "type": "image/jp2" } } } stac-validator-4.2.2/tests/test_data/1beta2/sentinel2.json000066400000000000000000000115401517436701200234310ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [], "id": "COPERNICUS/S2", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "summaries": { "datetime": { "min": "2015-06-23T00:00:00Z", "max": "2019-07-10T13:44:56Z" }, "platform": ["sentinel-2a","sentinel-2b"], "constellation": ["sentinel-2"], "instruments": ["msi"], "view:off_nadir": { "min": 0.0, "max": 100 }, "view:sun_elevation": { "min": 6.78, "max": 89.9 }, "sci:citation": ["Copernicus Sentinel data [Year]"], "gsd": [10,30,60], "proj:epsg": [32601,32602,32603,32604,32605,32606,32607,32608,32609,32610,32611,32612,32613,32614,32615,32616,32617,32618,32619,32620,32621,32622,32623,32624,32625,32626,32627,32628,32629,32630,32631,32632,32633,32634,32635,32636,32637,32638,32639,32640,32641,32642,32643,32644,32645,32646,32647,32648,32649,32650,32651,32652,32653,32654,32655,32656,32657,32658,32659,32660], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "links": [ { "rel": "self", "href": "https://storage.cloud.google.com/earthengine-test/catalog/COPERNICUS_S2.json" }, { "rel": "parent", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "root", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/1beta2/stac_item.json000066400000000000000000000033651517436701200235040ustar00rootroot00000000000000{ "stac_version": "1.0.0-beta.2", "stac_extensions": [], "type": "Feature", "id": "CS3-20160503_132131_05", "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "properties": { "datetime": "2016-05-03T13:22:30.040Z", "title": "A CS3 item", "license": "PDDL-1.0", "providers": [ { "name": "CoolSat", "roles": [ "producer", "licensor" ], "url": "https://cool-sat.com/" } ] }, "collection": "CS3", "links": [ { "rel": "self", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.json" }, { "rel": "collection", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v0.8.1/collection-spec/examples/sentinel2.json" } ], "assets": { "analytic": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/analytic.tif", "title": "4-Band Analytic", "product": "http://cool-sat.com/catalog/products/analytic.json" }, "thumbnail": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/thumbnail.png", "title": "Thumbnail" } } }stac-validator-4.2.2/tests/test_data/1rc1/000077500000000000000000000000001517436701200203225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1rc1/README.md000077500000000000000000000147171517436701200216160ustar00rootroot00000000000000# STAC Examples This directory contains various examples for all parts of the STAC specification. It is structured to be two valid STACs, meaning both [catalog.json](catalog.json) and [collection.json](collection.json) should successfully load in various tools. They do not follow *all* the [best practices](../best-practices.md) for STAC, mostly due to the fact that they contrive examples to show the spec and we are hosting in GitHub. But we note below where they differ from an ideal catalog. The various fields are mostly fictional, to be able to demonstrate the various aspects of the spec as tersely as possible. To get a sense of real world STAC implementations we recommend exploring the [stac-examples](http://github.com/stac-utils/stac-examples) repo, which gathers in one place copies of STAC [Items](../item-spec/item-spec.md) and [Collection](../collection-spec/collection-spec.md) from a number of different production catalogs that all follow good STAC practices. And you should also explore the various catalogs listed on [STAC Index](http://stacindex.org), to see full catalogs in production. ## Organization This directory contains two STAC implementations, both valid, but simplified a bit to be illustrative of the key concepts, so they do not quite follow all the best practices. ### Simple Collection This STAC implementation consists of three files, all contained at the root of the examples directory **[collection.json](collection.json)** is a minimal 'simple collection', that links to three items. **[simple-item.json](simple-item.json)** is the most minimal possible compliant Item record. Most all data will include additional fields, as STAC is designed to be a minimal common subset. But it is useful for showing exactly what is required. **[core-item.json](core-item.json)** is a more realistic example, for a hypothetical analytic image acquisition from a satellite company called 'Remote Data'. It includes additional fields covering the [common metadata](../item-spec/common-metadata.md). It also links to a variety of assets that is typical for satellite imagery, as most providers include a number of complementary files. **[extended-item.json](extended-item.json)** is arguably an even more realistic example, as it includes a number of the [extensions](../extensions/) that are commonly used, to demonstrate how implementations tend to start with the core, and add in a number of the core extensions. **[collectionless-item.json](collectionless-item.json)** demonstrates the common metadata that is only used when an Item does not have a collection. It is recommended to organize items in collections, but we wanted to show how this works. This is not technically in the 'simple collection' of this section, but it follows the same pattern, so is included here. ### Nested Catalog This STAC implementation shows a common pattern, starting with a catalog that links to a number of distinct collections, which may link down to a number of items. **[catalog.json](catalog.json)** is a minimal catalog implementation, linking to two other collections. **[collection-only/collection.json](collection-only/collection.json)** is a collection that does not link to any items. This demonstrates how is is possible to make use of STAC Collections without needing items, to serve as nice summarizing metadata for tools that work with full layers / collections. This example collection is based on real Sentinel-2 values, so is not quite fictional, but should be taken as just an example. **[extensions-collection/collection.json](extensions-collection/collection.json)** contains a small number of items, that demonstrate more functionality available in STAC [extensions](../extensions/). These are linked to directly from the individual extensions. These items follow the recommendations for [Catalog Layout Best Practices](../best-practices.md#catalog-layout). ## In Depth As mentioned above, the files in this examples directory form valid STAC implementations. They are all based on a fictional remote sensing company called 'Remote Data', with a URL at remotedata.io. This domain has not been set up, so those links will not work, but any valid data provider should provide valid links to their homepage. The examples use the `rd:` prefix to show how providers can use custom fields when there are not set fields. In the examples these do not link to a schema which is completely valid, but it is recommended that providers do write a JSON schema that can validate their custom fields (we will work to add an example schema for the `rd:` fields in the future). ### Catalog Type One of the most important STAC Best Practices is to [use links consistently](../best-practices.md#use-of-links), following one of the described 'catalog types'. The catalogs described here are [Relative Published Catalogs](../best-practices.md#relative-published-catalog), that use absolute URL's to refer to their assets (so would be an example of a [Self-contained Metadata Only](../best-practices.md#self-contained-metadata-only) catalog that is published). ### Differences with STAC Best Practices One of the most important documents in this repository is the one about [best practices](../best-practices.md). It describes a number of practical recommendations gained by people actually implementing STAC. The core spec is designed to be as flexible as possible, so that it is not too rigid and unable to handle unanticipated needs. But we recommend following as many of the best practices as is feasible, as it will help ensure various STAC tools work much better. The examples in this folder don't align with all the best practices, mostly because they are meant to demonstrate things as tersely as possible, and also because they live directly inside a github repository. As many people will look at these examples and take them as 'how things should be' we felt its important to highlight where things here differ from the actual best practices. #### Catalog Layout Another important recommendations concerns the [layout of STAC catalogs](../best-practices.md#catalog-layout). This is important for tools to be able to expect a certain layout, and most tools will follow the described layout. The simple collection that consists of the collection.json and its 3 linked items violates this. This is done to be able to show item examples directly in the root of the 'examples' folder, so people don't have to dig deep into folders to get a quick example. But a proper catalog layout would put the items in sub-directories, along with their assets. stac-validator-4.2.2/tests/test_data/1rc1/catalog.json000077500000000000000000000015531517436701200226360ustar00rootroot00000000000000{ "id": "examples", "type": "Catalog", "stac_version": "1.0.0-rc.1", "description": "This catalog is a simple demonstration of an example catalog that is used to organize a hierarchy of collections and their items.", "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json" }, { "rel": "child", "href": "./extensions-collection/collection.json", "type": "application/json", "title": "Collection Demonstrating STAC Extensions" }, { "rel": "child", "href": "./collection-only/collection.json", "type": "application/json", "title": "Collection with no items (standalone)" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-RC.1/examples/catalog.json", "type": "application/json" } ] }stac-validator-4.2.2/tests/test_data/1rc1/collection-only/000077500000000000000000000000001517436701200234345ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1rc1/collection-only/collection.json000077500000000000000000000126771517436701200265020ustar00rootroot00000000000000{ "type": "Collection", "stac_version": "1.0.0-rc.1", "stac_extensions": [], "id": "sentinel-2", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "assets": { "metadata_iso_19139": { "roles": [ "metadata", "iso-19139" ], "href": "https://storage.googleapis.com/open-cogs/stac-examples/sentinel-2-iso-19139.xml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" } }, "summaries": { "datetime": { "minimum": "2015-06-23T00:00:00Z", "maximum": "2019-07-10T13:44:56Z" }, "platform": [ "sentinel-2a", "sentinel-2b" ], "constellation": [ "sentinel-2" ], "instruments": [ "msi" ], "view:off_nadir": { "minimum": 0, "maximum": 100 }, "view:sun_elevation": { "minimum": 6.78, "maximum": 89.9 }, "sci:citation": [ "Copernicus Sentinel data [Year]" ], "gsd": [ 10, 30, 60 ], "proj:epsg": [ 32601, 32602, 32603, 32604, 32605, 32606, 32607, 32608, 32609, 32610, 32611, 32612, 32613, 32614, 32615, 32616, 32617, 32618, 32619, 32620, 32621, 32622, 32623, 32624, 32625, 32626, 32627, 32628, 32629, 32630, 32631, 32632, 32633, 32634, 32635, 32636, 32637, 32638, 32639, 32640, 32641, 32642, 32643, 32644, 32645, 32646, 32647, 32648, 32649, 32650, 32651, 32652, 32653, 32654, 32655, 32656, 32657, 32658, 32659, 32660 ], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "links": [ { "rel": "parent", "href": "../catalog.json" }, { "rel": "root", "href": "../catalog.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/1rc1/collection.json000077500000000000000000000035621517436701200233610ustar00rootroot00000000000000{ "id": "simple-collection", "type": "Collection", "stac_version": "1.0.0-rc.1", "description": "A simple collection demonstrating core catalog fields with links to a couple of items", "title": "Simple Example Collection", "providers": [ { "name": "Remote Data, Inc", "description": "Producers of awesome spatiotemporal assets", "roles": [ "producer", "processor" ], "url": "http://remotedata.io" } ], "extent": { "spatial": { "bbox": [ [ 172.911, 1.343, 172.955, 1.3691 ] ] }, "temporal": { "interval": [ [ "2020-12-11T09:06:43.312000Z", "2020-12-14T18:02:31.437000Z" ] ] } }, "license": "CC-BY-4.0", "summaries": { "platform": [ "cool_sat2", "cool_sat1" ], "constellation": [ "ion" ], "instruments": [ "cool_sensor_v1" ], "gsd": { "minimum": 0.512, "maximum": 0.7 }, "view:off_nadir": { "minimum": 0, "maximum": 15 }, "view:sun_elevation": { "minimum": 6.78, "maximum": 40 } }, "links": [ { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "item", "href": "./simple-item.json", "type": "application/geo+json", "title": "Simple Item" }, { "rel": "item", "href": "./core-item.json", "type": "application/geo+json", "title": "Core Item" }, { "rel": "item", "href": "./extended-item.json", "type": "application/geo+json", "title": "Extended Item" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-RC.1/examples/collection.json", "type": "application/json" } ] }stac-validator-4.2.2/tests/test_data/1rc1/collectionless-item.json000077500000000000000000000065041517436701200252030ustar00rootroot00000000000000{ "stac_version": "1.0.0-rc.1", "stac_extensions": [ "eo", "view" ], "type": "Feature", "id": "CS3-20160503_132131_08", "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "properties": { "title": "Full Item", "description": "A sample STAC Item demonstrates an Item that does not have a collection, which is not recommended, but allowed by the spec.", "datetime": null, "start_datetime": "2016-05-03T13:22:30Z", "end_datetime": "2016-05-03T13:27:30Z", "created": "2016-05-04T00:00:01Z", "updated": "2017-01-01T00:30:55Z", "license": "various", "providers": [ { "name": "Remote Data, Inc", "description": "Producers of awesome spatiotemporal assets", "roles": [ "producer", "processor" ], "url": "http://remotedata.it" } ], "platform": "cool_sat2", "instruments": [ "cool_sensor_v1" ], "view:sun_elevation": 33.4, "gsd": 0.512, "cs:type": "scene", "cs:anomalous_pixels": 0.14, "cs:earth_sun_distance": 1.014156, "cs:sat_id": "CS3", "cs:product_level": "LV1B" }, "collection": "CS3", "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "alternate", "type": "text/html", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.html" }, { "rel": "license", "type": "text/html", "href": "http://remotedata.io/license.html" } ], "assets": { "analytic": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/analytic.tif", "title": "4-Band Analytic", "eo:bands": [ { "name": "band1" }, { "name": "band1" }, { "name": "band2" }, { "name": "band3" } ] }, "thumbnail": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/thumbnail.png", "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ] }, "udm": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/UDM.tif", "title": "Unusable Data Mask" }, "json-metadata": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": [ "metadata" ] }, "ephemeris": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/S3-20160503_132130_04.EPH", "title": "Satellite Ephemeris Metadata" } } }stac-validator-4.2.2/tests/test_data/1rc1/core-item.json000077500000000000000000000057561517436701200231210ustar00rootroot00000000000000{ "stac_version": "1.0.0-rc.1", "stac_extensions": [], "type": "Feature", "id": "20201211_223832_CS2", "bbox": [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 172.91173669923782, 1.3438851951615003 ], [ 172.95469614953714, 1.3438851951615003 ], [ 172.95469614953714, 1.3690476620161975 ], [ 172.91173669923782, 1.3690476620161975 ], [ 172.91173669923782, 1.3438851951615003 ] ] ] }, "properties": { "title": "Core Item", "description": "A sample STAC Item that includes examples of all common metadata", "datetime": null, "start_datetime": "2020-12-11T22:38:32.125Z", "end_datetime": "2020-12-11T22:38:32.327Z", "created": "2020-12-12T01:48:13.725Z", "updated": "2020-12-12T01:48:13.725Z", "platform": "cool_sat2", "instruments": [ "cool_sensor_v1" ], "constellation": "ion", "mission": "collection 5624", "gsd": 0.512 }, "collection": "simple-collection", "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "alternate", "type": "text/html", "href": "http://remotedata.io/catalog/20201211_223832_CS2/index.html" } ], "assets": { "analytic": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "4-Band Analytic", "roles": [ "data" ] }, "thumbnail": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.jpg", "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ] }, "visual": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "3-Band Visual", "roles": [ "visual" ] }, "udm": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic_udm.tif", "title": "Unusable Data Mask", "type": "image/tiff; application=geotiff;" }, "json-metadata": { "href": "http://remotedata.io/catalog/20201211_223832_CS2/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": [ "metadata" ] }, "ephemeris": { "href": "http://cool-sat.com/catalog/20201211_223832_CS2/20201211_223832_CS2.EPH", "title": "Satellite Ephemeris Metadata" } } }stac-validator-4.2.2/tests/test_data/1rc1/extended-item.json000077500000000000000000000110431517436701200237530ustar00rootroot00000000000000{ "stac_version": "1.0.0-rc.1", "stac_extensions": [ "eo", "projection", "scientific", "view" ], "type": "Feature", "id": "20201211_223832_CS2", "bbox": [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 172.91173669923782, 1.3438851951615003 ], [ 172.95469614953714, 1.3438851951615003 ], [ 172.95469614953714, 1.3690476620161975 ], [ 172.91173669923782, 1.3690476620161975 ], [ 172.91173669923782, 1.3438851951615003 ] ] ] }, "properties": { "title": "Extended Item", "description": "A sample STAC Item that includes a variety of examples from the stable extensions", "datetime": "2020-12-11T22:38:32.125Z", "created": "2020-12-12T01:48:13.725Z", "updated": "2020-12-12T01:48:13.725Z", "platform": "cool_sat2", "instruments": [ "cool_sensor_v1" ], "gsd": 0.66, "eo:cloud_cover": 1.2, "proj:epsg": 32659, "proj:shape": [ 5558, 9559 ], "proj:transform": [ 0.5, 0, 712710, 0, -0.5, 151406, 0, 0, 1 ], "view:sun_elevation": 54.9, "view:off_nadir": 3.8, "view:sun_azimuth": 135.7, "rd:type": "scene", "rd:anomalous_pixels": 0.14, "rd:earth_sun_distance": 1.014156, "rd:sat_id": "cool_sat2", "rd:product_level": "LV3A", "sci:doi": "10.5061/dryad.s2v81.2/27.2" }, "collection": "simple-collection", "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "alternate", "type": "text/html", "href": "http://remotedata.io/catalog/20201211_223832_CS2/index.html" } ], "assets": { "analytic": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "4-Band Analytic", "roles": [ "data" ], "eo:bands": [ { "name": "band1", "common_name": "blue", "center_wavelength": 470, "full_width_half_max": 70 }, { "name": "band2", "common_name": "green", "center_wavelength": 560, "full_width_half_max": 80 }, { "name": "band3", "common_name": "red", "center_wavelength": 645, "full_width_half_max": 90 }, { "name": "band4", "common_name": "nir", "center_wavelength": 800, "full_width_half_max": 152 } ] }, "thumbnail": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.jpg", "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ] }, "visual": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "3-Band Visual", "roles": [ "visual" ], "eo:bands": [ { "name": "band3", "common_name": "red", "center_wavelength": 645, "full_width_half_max": 90 }, { "name": "band2", "common_name": "green", "center_wavelength": 560, "full_width_half_max": 80 }, { "name": "band1", "common_name": "blue", "center_wavelength": 470, "full_width_half_max": 70 } ] }, "udm": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic_udm.tif", "title": "Unusable Data Mask", "type": "image/tiff; application=geotiff;" }, "json-metadata": { "href": "http://remotedata.io/catalog/20201211_223832_CS2/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": [ "metadata" ] }, "ephemeris": { "href": "http://cool-sat.com/catalog/20201211_223832_CS2/20201211_223832_CS2.EPH", "title": "Satellite Ephemeris Metadata" } } }stac-validator-4.2.2/tests/test_data/1rc1/extensions-collection/000077500000000000000000000000001517436701200246525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1rc1/extensions-collection/collection.json000077500000000000000000000024121517436701200277020ustar00rootroot00000000000000{ "id": "extensions-collection", "type": "Collection", "stac_version": "1.0.0-rc.1", "description": "A heterogenous collection containing deeper examples of various extensions", "links": [ { "rel": "root", "href": "../catalog.json", "type": "application/json" }, { "rel": "item", "href": "./proj-example/proj-example.json", "title": "Proj extension example" }, { "rel": "license", "href": "https://remotedata.io/license.html", "title": "Remote Data License Terms" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json" } ], "stac_extensions": [], "title": "Collection of Extension Items", "keywords": [ "examples", "sar", "projection" ], "providers": [ { "name": "Remote Data, Inc.", "roles": [ "producer", "licensor" ], "url": "https://remotedata.io" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2009-05-20T02:40:01.042784Z", "2018-11-03T23:59:55.112875Z" ] ] } }, "license": "PDDL-1.0" }stac-validator-4.2.2/tests/test_data/1rc1/extensions-collection/proj-example/000077500000000000000000000000001517436701200272555ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1rc1/extensions-collection/proj-example/proj-example.json000077500000000000000000000147531517436701200325700ustar00rootroot00000000000000{ "type": "Feature", "stac_version": "1.0.0-rc.1", "id": "proj-example", "properties": { "datetime": "2018-10-01T01:08:32.033000Z", "proj:epsg": 32614, "proj:wkt2": "PROJCS[\"WGS 84 / UTM zone 14N\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.01745329251994328,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",-99],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],AUTHORITY[\"EPSG\",\"32614\"],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH]]", "proj:projjson": { "$schema": "https://proj.org/schemas/v0.2/projjson.schema.json", "type": "ProjectedCRS", "name": "WGS 84 / UTM zone 14N", "base_crs": { "name": "WGS 84", "datum": { "type": "GeodeticReferenceFrame", "name": "World Geodetic System 1984", "ellipsoid": { "name": "WGS 84", "semi_major_axis": 6378137, "inverse_flattening": 298.257223563 } }, "coordinate_system": { "subtype": "ellipsoidal", "axis": [ { "name": "Geodetic latitude", "abbreviation": "Lat", "direction": "north", "unit": "degree" }, { "name": "Geodetic longitude", "abbreviation": "Lon", "direction": "east", "unit": "degree" } ] }, "id": { "authority": "EPSG", "code": 4326 } }, "conversion": { "name": "UTM zone 14N", "method": { "name": "Transverse Mercator", "id": { "authority": "EPSG", "code": 9807 } }, "parameters": [ { "name": "Latitude of natural origin", "value": 0, "unit": "degree", "id": { "authority": "EPSG", "code": 8801 } }, { "name": "Longitude of natural origin", "value": -99, "unit": "degree", "id": { "authority": "EPSG", "code": 8802 } }, { "name": "Scale factor at natural origin", "value": 0.9996, "unit": "unity", "id": { "authority": "EPSG", "code": 8805 } }, { "name": "False easting", "value": 500000, "unit": "metre", "id": { "authority": "EPSG", "code": 8806 } }, { "name": "False northing", "value": 0, "unit": "metre", "id": { "authority": "EPSG", "code": 8807 } } ] }, "coordinate_system": { "subtype": "Cartesian", "axis": [ { "name": "Easting", "abbreviation": "E", "direction": "east", "unit": "metre" }, { "name": "Northing", "abbreviation": "N", "direction": "north", "unit": "metre" } ] }, "area": "World - N hemisphere - 102°W to 96°W - by country", "bbox": { "south_latitude": 0, "west_longitude": -102, "north_latitude": 84, "east_longitude": -96 }, "id": { "authority": "EPSG", "code": 32614 } }, "proj:geometry": { "coordinates": [ [ [ 169200, 3712800 ], [ 403200, 3712800 ], [ 403200, 3951000 ], [ 169200, 3951000 ], [ 169200, 3712800 ] ] ], "type": "Polygon" }, "proj:bbox": [ 169200, 3712800, 403200, 3951000 ], "proj:centroid": { "lat": 34.595302781575604, "lon": -101.34448382627504 }, "proj:shape": [ 8391, 8311 ], "proj:transform": [ 30, 0, 224985, 0, -30, 6790215, 0, 0, 1 ] }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json" }, { "rel": "parent", "href": "../collection.json", "type": "application/json" } ], "assets": { "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "title": "Band 1 (coastal)", "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 } ] }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B8.TIF", "type": "image/tiff; application=geotiff", "title": "Band 8 (panchromatic)", "eo:bands": [ { "name": "B8", "common_name": "panchromatic", "center_wavelength": 0.59, "full_width_half_max": 0.18 } ], "proj:shape": [ 16781, 16621 ], "proj:transform": [ 15, 0, 224992.5, 0, -15, 6790207.5, 0, 0, 1 ] } }, "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "stac_extensions": [ "eo", "projection" ], "collection": "landsat-8-l1" }stac-validator-4.2.2/tests/test_data/1rc1/simple-item.json000077500000000000000000000030741517436701200234510ustar00rootroot00000000000000{ "stac_version": "1.0.0-rc.1", "stac_extensions": [], "type": "Feature", "id": "20201211_223832_CS2", "bbox": [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 172.91173669923782, 1.3438851951615003 ], [ 172.95469614953714, 1.3438851951615003 ], [ 172.95469614953714, 1.3690476620161975 ], [ 172.91173669923782, 1.3690476620161975 ], [ 172.91173669923782, 1.3438851951615003 ] ] ] }, "properties": { "datetime": "2020-12-11T22:38:32.125000Z", "collection": "simple-collection" }, "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "root", "href": "./collection.json", "type": "application/json" } ], "assets": { "visual": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "3-Band Visual", "roles": [ "visual" ] }, "thumbnail": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.jpg", "title": "Thumbnail", "type": "image/jpeg", "roles": [ "thumbnail" ] } } }stac-validator-4.2.2/tests/test_data/1rc2/000077500000000000000000000000001517436701200203235ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1rc2/README.md000066400000000000000000000147171517436701200216140ustar00rootroot00000000000000# STAC Examples This directory contains various examples for all parts of the STAC specification. It is structured to be two valid STACs, meaning both [catalog.json](catalog.json) and [collection.json](collection.json) should successfully load in various tools. They do not follow *all* the [best practices](../best-practices.md) for STAC, mostly due to the fact that they contrive examples to show the spec and we are hosting in GitHub. But we note below where they differ from an ideal catalog. The various fields are mostly fictional, to be able to demonstrate the various aspects of the spec as tersely as possible. To get a sense of real world STAC implementations we recommend exploring the [stac-examples](http://github.com/stac-utils/stac-examples) repo, which gathers in one place copies of STAC [Items](../item-spec/item-spec.md) and [Collection](../collection-spec/collection-spec.md) from a number of different production catalogs that all follow good STAC practices. And you should also explore the various catalogs listed on [STAC Index](http://stacindex.org), to see full catalogs in production. ## Organization This directory contains two STAC implementations, both valid, but simplified a bit to be illustrative of the key concepts, so they do not quite follow all the best practices. ### Simple Collection This STAC implementation consists of three files, all contained at the root of the examples directory **[collection.json](collection.json)** is a minimal 'simple collection', that links to three items. **[simple-item.json](simple-item.json)** is the most minimal possible compliant Item record. Most all data will include additional fields, as STAC is designed to be a minimal common subset. But it is useful for showing exactly what is required. **[core-item.json](core-item.json)** is a more realistic example, for a hypothetical analytic image acquisition from a satellite company called 'Remote Data'. It includes additional fields covering the [common metadata](../item-spec/common-metadata.md). It also links to a variety of assets that is typical for satellite imagery, as most providers include a number of complementary files. **[extended-item.json](extended-item.json)** is arguably an even more realistic example, as it includes a number of the [extensions](../extensions/) that are commonly used, to demonstrate how implementations tend to start with the core, and add in a number of the core extensions. **[collectionless-item.json](collectionless-item.json)** demonstrates the common metadata that is only used when an Item does not have a collection. It is recommended to organize items in collections, but we wanted to show how this works. This is not technically in the 'simple collection' of this section, but it follows the same pattern, so is included here. ### Nested Catalog This STAC implementation shows a common pattern, starting with a catalog that links to a number of distinct collections, which may link down to a number of items. **[catalog.json](catalog.json)** is a minimal catalog implementation, linking to two other collections. **[collection-only/collection.json](collection-only/collection.json)** is a collection that does not link to any items. This demonstrates how is is possible to make use of STAC Collections without needing items, to serve as nice summarizing metadata for tools that work with full layers / collections. This example collection is based on real Sentinel-2 values, so is not quite fictional, but should be taken as just an example. **[extensions-collection/collection.json](extensions-collection/collection.json)** contains a small number of items, that demonstrate more functionality available in STAC [extensions](../extensions/). These are linked to directly from the individual extensions. These items follow the recommendations for [Catalog Layout Best Practices](../best-practices.md#catalog-layout). ## In Depth As mentioned above, the files in this examples directory form valid STAC implementations. They are all based on a fictional remote sensing company called 'Remote Data', with a URL at remotedata.io. This domain has not been set up, so those links will not work, but any valid data provider should provide valid links to their homepage. The examples use the `rd:` prefix to show how providers can use custom fields when there are not set fields. In the examples these do not link to a schema which is completely valid, but it is recommended that providers do write a JSON schema that can validate their custom fields (we will work to add an example schema for the `rd:` fields in the future). ### Catalog Type One of the most important STAC Best Practices is to [use links consistently](../best-practices.md#use-of-links), following one of the described 'catalog types'. The catalogs described here are [Relative Published Catalogs](../best-practices.md#relative-published-catalog), that use absolute URL's to refer to their assets (so would be an example of a [Self-contained Metadata Only](../best-practices.md#self-contained-metadata-only) catalog that is published). ### Differences with STAC Best Practices One of the most important documents in this repository is the one about [best practices](../best-practices.md). It describes a number of practical recommendations gained by people actually implementing STAC. The core spec is designed to be as flexible as possible, so that it is not too rigid and unable to handle unanticipated needs. But we recommend following as many of the best practices as is feasible, as it will help ensure various STAC tools work much better. The examples in this folder don't align with all the best practices, mostly because they are meant to demonstrate things as tersely as possible, and also because they live directly inside a github repository. As many people will look at these examples and take them as 'how things should be' we felt its important to highlight where things here differ from the actual best practices. #### Catalog Layout Another important recommendations concerns the [layout of STAC catalogs](../best-practices.md#catalog-layout). This is important for tools to be able to expect a certain layout, and most tools will follow the described layout. The simple collection that consists of the collection.json and its 3 linked items violates this. This is done to be able to show item examples directly in the root of the 'examples' folder, so people don't have to dig deep into folders to get a quick example. But a proper catalog layout would put the items in sub-directories, along with their assets. stac-validator-4.2.2/tests/test_data/1rc2/catalog.json000066400000000000000000000015541517436701200226350ustar00rootroot00000000000000{ "id": "examples", "type": "Catalog", "stac_version": "1.0.0-rc.2", "description": "This catalog is a simple demonstration of an example catalog that is used to organize a hierarchy of collections and their items.", "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json" }, { "rel": "child", "href": "./extensions-collection/collection.json", "type": "application/json", "title": "Collection Demonstrating STAC Extensions" }, { "rel": "child", "href": "./collection-only/collection.json", "type": "application/json", "title": "Collection with no items (standalone)" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.2/examples/catalog.json", "type": "application/json" } ] } stac-validator-4.2.2/tests/test_data/1rc2/collection-only/000077500000000000000000000000001517436701200234355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/1rc2/collection-only/collection.json000066400000000000000000000126771517436701200265000ustar00rootroot00000000000000{ "type": "Collection", "stac_version": "1.0.0-rc.2", "stac_extensions": [], "id": "sentinel-2", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "assets": { "metadata_iso_19139": { "roles": [ "metadata", "iso-19139" ], "href": "https://storage.googleapis.com/open-cogs/stac-examples/sentinel-2-iso-19139.xml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" } }, "summaries": { "datetime": { "minimum": "2015-06-23T00:00:00Z", "maximum": "2019-07-10T13:44:56Z" }, "platform": [ "sentinel-2a", "sentinel-2b" ], "constellation": [ "sentinel-2" ], "instruments": [ "msi" ], "view:off_nadir": { "minimum": 0, "maximum": 100 }, "view:sun_elevation": { "minimum": 6.78, "maximum": 89.9 }, "sci:citation": [ "Copernicus Sentinel data [Year]" ], "gsd": [ 10, 30, 60 ], "proj:epsg": [ 32601, 32602, 32603, 32604, 32605, 32606, 32607, 32608, 32609, 32610, 32611, 32612, 32613, 32614, 32615, 32616, 32617, 32618, 32619, 32620, 32621, 32622, 32623, 32624, 32625, 32626, 32627, 32628, 32629, 32630, 32631, 32632, 32633, 32634, 32635, 32636, 32637, 32638, 32639, 32640, 32641, 32642, 32643, 32644, 32645, 32646, 32647, 32648, 32649, 32650, 32651, 32652, 32653, 32654, 32655, 32656, 32657, 32658, 32659, 32660 ], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "links": [ { "rel": "parent", "href": "../catalog.json" }, { "rel": "root", "href": "../catalog.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/1rc2/collection.json000066400000000000000000000035631517436701200233600ustar00rootroot00000000000000{ "id": "simple-collection", "type": "Collection", "stac_version": "1.0.0-rc.2", "description": "A simple collection demonstrating core catalog fields with links to a couple of items", "title": "Simple Example Collection", "providers": [ { "name": "Remote Data, Inc", "description": "Producers of awesome spatiotemporal assets", "roles": [ "producer", "processor" ], "url": "http://remotedata.io" } ], "extent": { "spatial": { "bbox": [ [ 172.911, 1.343, 172.955, 1.3691 ] ] }, "temporal": { "interval": [ [ "2020-12-11T09:06:43.312000Z", "2020-12-14T18:02:31.437000Z" ] ] } }, "license": "CC-BY-4.0", "summaries": { "platform": [ "cool_sat2", "cool_sat1" ], "constellation": [ "ion" ], "instruments": [ "cool_sensor_v1" ], "gsd": { "minimum": 0.512, "maximum": 0.7 }, "view:off_nadir": { "minimum": 0, "maximum": 15 }, "view:sun_elevation": { "minimum": 6.78, "maximum": 40 } }, "links": [ { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "item", "href": "./simple-item.json", "type": "application/geo+json", "title": "Simple Item" }, { "rel": "item", "href": "./core-item.json", "type": "application/geo+json", "title": "Core Item" }, { "rel": "item", "href": "./extended-item.json", "type": "application/geo+json", "title": "Extended Item" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.2/examples/collection.json", "type": "application/json" } ] } stac-validator-4.2.2/tests/test_data/1rc2/collectionless-item.json000066400000000000000000000066571517436701200252120ustar00rootroot00000000000000{ "stac_version": "1.0.0-rc.2", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json" ], "type": "Feature", "id": "CS3-20160503_132131_08", "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "properties": { "title": "Full Item", "description": "A sample STAC Item demonstrates an Item that does not have a collection, which is not recommended, but allowed by the spec.", "datetime": null, "start_datetime": "2016-05-03T13:22:30Z", "end_datetime": "2016-05-03T13:27:30Z", "created": "2016-05-04T00:00:01Z", "updated": "2017-01-01T00:30:55Z", "license": "various", "providers": [ { "name": "Remote Data, Inc", "description": "Producers of awesome spatiotemporal assets", "roles": [ "producer", "processor" ], "url": "http://remotedata.it" } ], "platform": "cool_sat2", "instruments": [ "cool_sensor_v1" ], "view:sun_elevation": 33.4, "gsd": 0.512, "cs:type": "scene", "cs:anomalous_pixels": 0.14, "cs:earth_sun_distance": 1.014156, "cs:sat_id": "CS3", "cs:product_level": "LV1B" }, "collection": "CS3", "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "root", "href": "./collection.json", "type": "application/json" }, { "rel": "alternate", "type": "text/html", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.html" }, { "rel": "license", "type": "text/html", "href": "http://remotedata.io/license.html" } ], "assets": { "analytic": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/analytic.tif", "title": "4-Band Analytic", "eo:bands": [ { "name": "band1" }, { "name": "band1" }, { "name": "band2" }, 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[ 115.29125, 21.27519 ], [ 114.89853, 19.54292 ], [ 116.66653, 19.17342 ], [ 117.07939, 20.90747 ] ] ] }, "links": [ { "rel": "root", "href": "../../../catalog.json", "type": "application/json" }, { "rel": "collection", "href": "../collection.json", "type": "application/json" }, { "rel": "parent", "href": "../collection.json", "type": "application/json" } ], "assets": { "ANG": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_ANG.txt", "type": "text/plain", "title": "Angle coefficients file" }, "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B1.TIF", "type": "image/x.geotiff", "title": "Band 1 (coastal)", "eo:bands": [ 0 ] }, "B2": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B2.TIF", "type": "image/x.geotiff", "title": "Band 2 (blue)", "eo:bands": [ 1 ] }, "B3": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B3.TIF", "type": "image/x.geotiff", "title": "Band 3 (green)", "eo:bands": [ 2 ] }, "B4": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B4.TIF", "type": "image/x.geotiff", "title": "Band 4 (red)", "eo:bands": [ 3 ] }, "B5": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B5.TIF", "type": "image/x.geotiff", "title": "Band 5 (nir)", "eo:bands": [ 4 ] }, "B6": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B6.TIF", "type": "image/x.geotiff", "title": "Band 6 (swir16)", "eo:bands": [ 5 ] }, "B7": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B7.TIF", "type": "image/x.geotiff", "title": "Band 7 (swir22)", "eo:bands": [ 6 ] }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B8.TIF", "type": "image/x.geotiff", "title": "Band 8 (pan)", "eo:bands": [ 7 ] }, "B9": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B9.TIF", "type": "image/x.geotiff", "title": "Band 9 (cirrus)", "eo:bands": [ 8 ] }, "B10": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B10.TIF", "type": "image/x.geotiff", "title": "Band 10 (lwir)", "eo:bands": [ 9 ] }, "B11": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_B11.TIF", "type": "image/x.geotiff", "title": "Band 11 (lwir)", "eo:bands": [ 10 ] }, "BQA": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_BQA.TIF", "type": "image/x.geotiff", "title": "Band quality data" }, "MTL": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_MTL.txt", "type": "text/plain", "title": "original metadata file" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/120/046/LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT_thumb_large.jpg", "type": "image/jpeg", "title": "Thumbnail image" } }, "bbox": [ 114.89853, 19.54292, 117.07939, 20.90747 ], "collection": "landsat-8-l1" }stac-validator-4.2.2/tests/test_data/local_cat/example-catalog/eo/landsat-8-l1/collection.json000066400000000000000000000147141517436701200323050ustar00rootroot00000000000000{ "id": "landsat-8-l1", "stac_version": "1.0.0-beta.2", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json" }, { "rel": "item", "href": "./LC08_L1GT_120046_20181012_20181012_01_RT/LC08_L1GT_120046_20181012_20181012_01_RT.json", "type": "application/json" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json" } ], "title": "Landsat 8 L1", "keywords": [ "landsat" ], "version": "0.1.0", "providers": [ { "name": "USGS", "url": "https://landsat.usgs.gov/" }, { "name": "Planet Labs", "url": "https://github.com/landsat-pds/landsat_ingestor" }, { "name": "AWS", "url": "https://landsatonaws.com/" }, { "name": "Development Seed", "url": "https://developmentseed.org/" } ], "properties": { "collection": "landsat-8-l1", "eo:gsd": 15, "eo:platform": "landsat-8", "eo:instrument": "OLI_TIRS", "eo:off_nadir": 0, "eo:bands": [ { "id": "B1", "common_name": "coastal", "gsd": 30, "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "id": "B2", "common_name": "blue", "gsd": 30, "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "id": "B3", "common_name": "green", "gsd": 30, "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "id": "B4", "common_name": "red", "gsd": 30, "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "id": "B5", "common_name": "nir", "gsd": 30, "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "id": "B6", "common_name": "swir16", "gsd": 30, "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "id": "B7", "common_name": "swir22", "gsd": 30, "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "id": "B8", "common_name": "pan", "gsd": 15, "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "id": "B9", "common_name": "cirrus", "gsd": 30, "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "id": "B10", "common_name": "lwir11", "gsd": 100, "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "id": "B11", "common_name": "lwir12", "gsd": 100, "center_wavelength": 12, "full_width_half_max": 1 } ] }, "assets": { "index": { "type": "text/html", "title": "HTML index page" }, "thumbnail": { "title": "Thumbnail image", "type": "image/jpeg" }, "B1": { "type": "image/x.geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)" }, "B2": { "type": "image/x.geotiff", "eo:bands": [ 1 ], "title": "Band 2 (blue)" }, "B3": { "type": "image/x.geotiff", "eo:bands": [ 2 ], "title": "Band 3 (green)" }, "B4": { "type": "image/x.geotiff", "eo:bands": [ 3 ], "title": "Band 4 (red)" }, "B5": { "type": "image/x.geotiff", "eo:bands": [ 4 ], "title": "Band 5 (nir)" }, "B6": { "type": "image/x.geotiff", "eo:bands": [ 5 ], "title": "Band 6 (swir16)" }, "B7": { "type": "image/x.geotiff", "eo:bands": [ 6 ], "title": "Band 7 (swir22)" }, "B8": { "type": "image/x.geotiff", "eo:bands": [ 7 ], "title": "Band 8 (pan)" }, "B9": { "type": "image/x.geotiff", "eo:bands": [ 8 ], "title": "Band 9 (cirrus)" }, "B10": { "type": "image/x.geotiff", "eo:bands": [ 9 ], "title": "Band 10 (lwir)" }, "B11": { "type": "image/x.geotiff", "eo:bands": [ 10 ], "title": "Band 11 (lwir)" }, "ANG": { "title": "Angle coefficients file", "type": "text/plain" }, "MTL": { "title": "original metadata file", "type": "text/plain" }, "BQA": { "title": "Band quality data", "type": "image/x.geotiff" } }, "type": "Collection", "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2013-06-01T00:00:00Z", null ] ] } }, "license": "PDDL-1.0" }stac-validator-4.2.2/tests/test_data/local_cat/example-catalog/eo/sentinel-2/000077500000000000000000000000001517436701200271235ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/example-catalog/eo/sentinel-2/collection.json000066400000000000000000000152341517436701200321560ustar00rootroot00000000000000{ "id": "sentinel-2", "stac_version": "1.0.0-beta.2", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json" }, { "rel": "child", "href": "./sentinel-2a/catalog.json", "type": "application/json" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json" } ], "stac_extensions": [], "type": "Collection", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "assets": { "metadata_iso_19139": { "roles": [ "metadata", "iso-19139" ], "href": "https://storage.googleapis.com/open-cogs/stac-examples/sentinel-2-iso-19139.xml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" } }, "summaries": { "datetime": { "minimum": "2015-06-23T00:00:00Z", "maximum": "2019-07-10T13:44:56Z" }, "platform": [ "sentinel-2a", "sentinel-2b" ], "constellation": [ "sentinel-2" ], "instruments": [ "msi" ], "view:off_nadir": { "minimum": 0, "maximum": 100 }, "view:sun_elevation": { "minimum": 6.78, "maximum": 89.9 }, "sci:citation": [ "Copernicus Sentinel data [Year]" ], "gsd": [ 10, 30, 60 ], "proj:epsg": [ 32601, 32602, 32603, 32604, 32605, 32606, 32607, 32608, 32609, 32610, 32611, 32612, 32613, 32614, 32615, 32616, 32617, 32618, 32619, 32620, 32621, 32622, 32623, 32624, 32625, 32626, 32627, 32628, 32629, 32630, 32631, 32632, 32633, 32634, 32635, 32636, 32637, 32638, 32639, 32640, 32641, 32642, 32643, 32644, 32645, 32646, 32647, 32648, 32649, 32650, 32651, 32652, 32653, 32654, 32655, 32656, 32657, 32658, 32659, 32660 ], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/example-catalog/eo/sentinel-2/sentinel-2a/000077500000000000000000000000001517436701200312445ustar00rootroot00000000000000L1C_T53MNQ_A017245_20181011T011722/000077500000000000000000000000001517436701200352545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/example-catalog/eo/sentinel-2/sentinel-2aL1C_T53MNQ_A017245_20181011T011722.json000066400000000000000000000124641517436701200422450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/example-catalog/eo/sentinel-2/sentinel-2a/L1C_T53MNQ_A017245_20181011T011722{ "type": "Feature", "stac_version": "1.0.0-beta.2", "id": "L1C_T53MNQ_A017245_20181011T011722", "properties": { "collection": "sentinel-2-l1c", "datetime": "2018-10-11T01:17:22.460000Z", "eo:platform": "Sentinel-2A", "eo:cloud_cover": 21, "eo:epsg": "32753", "sentinel:product_id": "S2A_MSIL1C_20181011T011721_N0206_R088_T53MNQ_20181011T025055" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ 135.86122387616518, -4.522878416491893 ], [ 135.98956822680043, -4.522714358156175 ], [ 135.99106604778748, -5.515865360071359 ], [ 135.6392640640852, -5.5163474919383235 ], [ 135.73459752529413, -5.090534108006068 ], [ 135.86122387616518, -4.522878416491893 ] ] ] }, "links": [ { "rel": "root", "href": "../../../../catalog.json", "type": "application/json" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json" } ], "assets": { "B01": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B01.jp2", "type": "image/jp2", "title": "Band 1 (coastal)", "eo:bands": [ 0 ] }, "B02": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B02.jp2", "type": "image/jp2", "title": "Band 2 (blue)", "eo:bands": [ 1 ] }, "B03": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B03.jp2", "type": "image/jp2", "title": "Band 3 (green)", "eo:bands": [ 2 ] }, "B04": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B04.jp2", "type": "image/jp2", "title": "Band 4 (red)", "eo:bands": [ 3 ] }, "B05": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B05.jp2", "type": "image/jp2", "title": "Band 5", "eo:bands": [ 4 ] }, "B06": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B06.jp2", "type": "image/jp2", "title": "Band 6", "eo:bands": [ 5 ] }, "B07": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B07.jp2", "type": "image/jp2", "title": "Band 7", "eo:bands": [ 6 ] }, "B08": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B08.jp2", "type": "image/jp2", "title": "Band 8 (nir)", "eo:bands": [ 7 ] }, "B09": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B09.jp2", "type": "image/jp2", "title": "Band 9", "eo:bands": [ 9 ] }, "B10": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B10.jp2", "type": "image/jp2", "title": "Band 10 (cirrus)", "eo:bands": [ 10 ] }, "B11": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B11.jp2", "type": "image/jp2", "title": "Band 11 (swir16)", "eo:bands": [ 11 ] }, "B12": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B12.jp2", "type": "image/jp2", "title": "Band 12 (swir22)", "eo:bands": [ 12 ] }, "B8A": { "href": "https://sentinel-s2-l1c.s3.amazonaws.com/tiles/53/M/NQ/2018/10/11/0/B8A.jp2", "type": "image/jp2", "title": "Band 8A", "eo:bands": [ 8 ] }, "thumbnail": { "href": "https://roda.sentinel-hub.com/sentinel-s2-l1c/tiles/53/M/NQ/2018/10/11/0/preview.jpg" }, "tki": { "href": 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}stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/000077500000000000000000000000001517436701200271305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/catalog.json000066400000000000000000000023611517436701200314370ustar00rootroot00000000000000{ "type": "Catalog", "id": "osc", "stac_version": "1.0.0", "description": "A catalog of publicly available geoscience products, datasets and resources developed in the frame of scientific research Projects funded by ESA EO (Earth Observation)", "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "child", "href": "./projects/catalog.json", "type": "application/json", "title": "Projects" }, { "rel": "child", "href": "./themes/catalog.json", "type": "application/json", "title": "Themes" }, { "rel": "child", "href": "./variables/catalog.json", "type": "application/json", "title": "Variables" }, { 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The primary objective was to provide wind profile measurements for an improved analysis of the global three-dimensional wind field. The aim of the mission was to provide global observations of wind profiles with a vertical resolution that could satisfy the accuracy requirements of WMO (World Meteorological Organization). Such knowledge was crucial to the understanding of the atmospheric dynamics, including the global transport of energy, water, aerosols, chemicals and other airborne materials - to be able to deal with many aspects of climate research and climate and weather prediction. ADM-Aeolus represented a demonstration project for the Global Climate Observing System (GCOS).Atmospheric Dynamics Mission (Earth Explorer Core Mission).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=377", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "AEOLUS" }aqua-eos-pm-1/000077500000000000000000000000001517436701200336015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missionscatalog.json000066400000000000000000000025241517436701200361110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/aqua-eos-pm-1{ "type": "Catalog", "id": "aqua-eos-pm-1", "stac_version": "1.0.0", "description": "Jointly funded by NASA (National Aeronautics and Space Administration, USA), INPE (National Institute for Space Research, Brazil) and JAXA (Japan Aerospace Exploration Agency), Aqua (formerly known as EOS/PM-1) is part of NASA’s international Earth Observing System (EOS), as well as their Earth Science Enterprise (ESE) program. Aqua’s main focus is the multidisciplinary study of the Earth’s water cycle including cloud formation, precipitation, radiative properties, air-sea fluxes of energy, carbon and moisture, and sea ice concentrations and extents. Launched in May 2002 from Vandenberg Air Force Base, California, USA, Aqua had a design life of six years, however remains operational as of July 2022. 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The Aura mission will provide global surveys of several atmospheric constituents with the goal of monitoring the complex interactions of atmospheric constituents from both natural and man-made sources that are contributing to global change and affect the creation and depletion of ozone.\nLaunched in July 2004, Aura is the third mission in the Earth Observing Satellite (EOS) series, following on from Terra and Aqua.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=207", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Aura" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/calipso/000077500000000000000000000000001517436701200330275ustar00rootroot00000000000000catalog.json000066400000000000000000000023201517436701200352520ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/calipso{ "type": "Catalog", "id": "calipso", "stac_version": "1.0.0", "description": "Launched in April 2006, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) is a cloud and aerosol observation satellite operated by the National Aeronautics and Space Administration (NASA) and Centre National d’Etudes Spatiales (CNES). Its observations are used to determine the role of clouds and aerosols in regulating the Earth’s climate. 3-year nominal mission life, currently in extended operations. Measurements of aerosol and cloud properties for climate predictions, using a 3 channel lidar and passive instruments in formation with CloudSat for coincident observations of radiative fluxes and atmospheric state.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=422", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "CALIPSO" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/catalog.json000066400000000000000000000155351517436701200337130ustar00rootroot00000000000000{ "type": "Catalog", "id": "eo-missions", "stac_version": "1.0.0", "description": "Earth Obeservation Satellite Missions by ESA", "links": [ { "rel": "root", "href": "../catalog.json", "type": 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"href": "./ers-1/catalog.json", "type": "application/json", "title": "ERS-1" }, { "rel": "child", "href": "./ers-2/catalog.json", "type": "application/json", "title": "ERS-2" }, { "rel": "child", "href": "./gcom-w1/catalog.json", "type": "application/json", "title": "GCOM-W1" }, { "rel": "child", "href": "./gcom-w2/catalog.json", "type": "application/json", "title": "GCOM-W2" }, { "rel": "child", "href": "./glonass/catalog.json", "type": "application/json", "title": "GLONASS" }, { "rel": "child", "href": "./goce/catalog.json", "type": "application/json", "title": "GOCE" }, { "rel": "child", "href": "./gosat/catalog.json", "type": "application/json", "title": "GOSAT" }, { "rel": "child", "href": "./grace/catalog.json", "type": "application/json", "title": "GRACE" }, { "rel": "child", "href": "./grace-fo/catalog.json", "type": "application/json", "title": "GRACE-FO" }, { "rel": "child", "href": "./icesat/catalog.json", "type": "application/json", "title": "ICESat" }, { "rel": "child", "href": "./icesat-2/catalog.json", "type": "application/json", "title": "ICESat-2" }, { "rel": "child", "href": "./in-situ-observations/catalog.json", "type": "application/json", "title": "In-situ observations" }, { "rel": "child", "href": "./jason-1/catalog.json", "type": "application/json", "title": "Jason-1" }, { "rel": "child", "href": "./jason-2/catalog.json", "type": "application/json", "title": "Jason-2" }, { "rel": "child", "href": "./jason-3/catalog.json", "type": "application/json", "title": "Jason-3" }, { "rel": "child", "href": "./landsat-7/catalog.json", "type": "application/json", "title": "Landsat-7" }, { "rel": "child", "href": "./landsat-8/catalog.json", "type": "application/json", "title": "Landsat-8" }, { "rel": "child", "href": "./landsat-9/catalog.json", "type": "application/json", "title": "Landsat-9" }, { "rel": "child", "href": "./limb-viewing-instruments/catalog.json", "type": "application/json", "title": "Limb-Viewing Instruments" }, { "rel": "child", "href": "./meteosat/catalog.json", "type": "application/json", "title": "Meteosat" }, { "rel": "child", "href": "./metop/catalog.json", "type": "application/json", "title": "MetOp" }, { "rel": "child", "href": "./numerical-models/catalog.json", "type": "application/json", "title": "Numerical models" }, { "rel": "child", "href": "./oersted/catalog.json", "type": "application/json", "title": "OERSTED" }, { "rel": "child", "href": "./orbview-2/catalog.json", "type": "application/json", "title": "OrbView-2" }, { "rel": "child", "href": "./sac-c/catalog.json", "type": "application/json", "title": "SAC-C" }, { "rel": "child", "href": "./saral/catalog.json", "type": "application/json", "title": "SARAL" }, { "rel": "child", "href": "./sentinel-1/catalog.json", "type": "application/json", "title": "Sentinel-1" }, { "rel": "child", "href": "./sentinel-2/catalog.json", "type": "application/json", "title": "Sentinel-2" }, { "rel": "child", "href": "./sentinel-3/catalog.json", "type": "application/json", "title": "Sentinel-3" }, { "rel": "child", "href": "./sentinel-5p/catalog.json", "type": "application/json", "title": "Sentinel-5p" }, { "rel": "child", "href": "./sentinel-6/catalog.json", "type": "application/json", "title": "Sentinel-6" }, { "rel": "child", "href": "./smap/catalog.json", "type": "application/json", "title": "SMAP" }, { "rel": "child", "href": "./smos/catalog.json", "type": "application/json", "title": "SMOS" }, { "rel": "child", "href": "./suomi-npp/catalog.json", "type": "application/json", "title": "Suomi NPP" }, { "rel": "child", "href": "./swarm/catalog.json", "type": "application/json", "title": "SWARM" }, { "rel": "child", "href": "./tandem-x/catalog.json", "type": "application/json", "title": "TanDEM-X" }, { "rel": "child", "href": "./terra/catalog.json", "type": "application/json", "title": "Terra" }, { "rel": "child", "href": "./terrasar-x/catalog.json", "type": "application/json", "title": "TerraSAR-X" }, { "rel": "child", "href": 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It acquired spatial and temporal measurements of Earth’s gravitational, magnetic, and electric fields which assisted in a variety of fields such as climate studies, geodesy, and geophysics.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=256", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "CHAMP" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/cryosat-2/000077500000000000000000000000001517436701200332205ustar00rootroot00000000000000catalog.json000066400000000000000000000015451517436701200354530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/cryosat-2{ "type": "Catalog", "id": "cryosat-2", "stac_version": "1.0.0", "description": "CryoSat-2 is the first successfully launched satellite in the CryoSat series. 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Use to determine fluctuations in the mass of the Earth’s major land and marine ice fields", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=529", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "CryoSat-2" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/cryosat/000077500000000000000000000000001517436701200330615ustar00rootroot00000000000000catalog.json000066400000000000000000000020711517436701200353070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/cryosat{ "type": "Catalog", "id": "cryosat", "stac_version": "1.0.0", "description": "Launched in October 2005, CryoSat was a next-generation radar altimetry mission, aiming to determine variations in the thickness of the Earth’s continental ice sheets and marine ice cover. Primary objective is to test the prediction of thinning arctic ice due to global warming. CryoSat was supposed to be the first Earth Explorer Opportunity mission in ESA’s Living Planet program, but was lost in a launch failure on 8 October 2005, prompting the development of a successor mission, CryoSat-2.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=378", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "CryoSat" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/earthcare/000077500000000000000000000000001517436701200333335ustar00rootroot00000000000000catalog.json000066400000000000000000000020721517436701200355620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/earthcare{ "type": "Catalog", "id": "earthcare", "stac_version": "1.0.0", "description": "EarthCARE ((Earth Clouds, Aerosols and Radiation Explorer) is a satellite operated by JAXA and ESA. It will develop climate and weather forecasting models by understanding the role of cloud-aerosol-radiation interactions. To Improve the understanding of atmospheric cloud–aerosol interactions and of the Earth's radiative balance towards enhancing climate and numerical weather prediction models. The 2 active and 2 passive instruments of EarthCARE make unique data product synergies possible.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=580", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "EarthCARE" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/envisat/000077500000000000000000000000001517436701200330465ustar00rootroot00000000000000catalog.json000066400000000000000000000027131517436701200352770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/envisat{ "type": "Catalog", "id": "envisat", "stac_version": "1.0.0", "description": "EnviSat was a satellite mission monitoring Earth’s environment. EnviSat application areas included meteorology, climatology, environment, atmospheric chemistry, vegetation, hydrology, land use, and ocean and ice processes. EnviSat was a research mission that carried ten instruments and provided a wealth of data related to Earth’s health and climate change. EnviSat carried the Medium Resolution Imaging Spectrometer( MERIS), Michelson Interferometer for Passive Atmospheric Sounding (MIPAS), Radar Altimeter-2 (RA-2), Laser Retro-Reflector (LRR), Microwave Radiometer (MWR), Advanced SAR (ASAR), Global Ozone Monitoring by Occultation of Stars (GOMOS), Scanning Imaging Absorption Spectrometer for Atmospheric Cartography (SCIAMACHY), Advanced Along Track Scanning Radiometer, provided by the UK and Australia (AATSR), and Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=2", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "ENVISAT" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/ers-1/000077500000000000000000000000001517436701200323245ustar00rootroot00000000000000catalog.json000066400000000000000000000015141517436701200345530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/ers-1{ "type": "Catalog", "id": "ers-1", "stac_version": "1.0.0", "description": "The ERS-1 (European Remote Sensing Satellite -1) was the first environmental monitoring satellite developed by ESA. The mission detected land and ocean surface change and provided observation data on oceans, polar ice, vegetation, geology, meteorology and ecology.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=220", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "ERS-1" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/ers-2/000077500000000000000000000000001517436701200323255ustar00rootroot00000000000000catalog.json000066400000000000000000000015001517436701200345470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/ers-2{ "type": "Catalog", "id": "ers-2", "stac_version": "1.0.0", "description": "ERS-2 (European Remote Sensing Satellite -2) was launched in April 1995, the ERS-2 was an enhancement of the previous ERS-1 mission. ERS-2 provided microwave spectrum environmental monitoring across a range of disciplines (oceans, polar ice, forestry).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=221", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "ERS-2" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/gcom-w1/000077500000000000000000000000001517436701200326475ustar00rootroot00000000000000catalog.json000066400000000000000000000023271517436701200351010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/gcom-w1{ "type": "Catalog", "id": "gcom-w1", "stac_version": "1.0.0", "description": "Japan Aerospace Exploration Agency (JAXA) mission (No NASA contribution) The “Global Change Observation Mission” (GCOM) aims to construct, use, and verify systems that enable continuous global-scale observations (for 10 to 15 years) of effective geophysical parameters for elucidating global climate change and water circulation mechanisms. Water circulation changes will be observed by a microwave radiometer onboard the GCOM-W (Water) satellite (scheduled to be launched in Japan Fiscal Year 2012). The GCOM-W will observe precipitation, vapor amounts, wind velocity above the ocean, sea water temperatures, water levels on land areas and snow depths.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=542", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "GCOM-W1" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/gcom-w2/000077500000000000000000000000001517436701200326505ustar00rootroot00000000000000catalog.json000066400000000000000000000023271517436701200351020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/gcom-w2{ "type": "Catalog", "id": "gcom-w2", "stac_version": "1.0.0", "description": "Japan Aerospace Exploration Agency (JAXA) mission (No NASA contribution) The “Global Change Observation Mission” (GCOM) aims to construct, use, and verify systems that enable continuous global-scale observations (for 10 to 15 years) of effective geophysical parameters for elucidating global climate change and water circulation mechanisms. Water circulation changes will be observed by a microwave radiometer onboard the GCOM-W (Water) satellite (scheduled to be launched in Japan Fiscal Year 2012). The GCOM-W will observe precipitation, vapor amounts, wind velocity above the ocean, sea water temperatures, water levels on land areas and snow depths.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=542", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "GCOM-W2" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/glonass/000077500000000000000000000000001517436701200330435ustar00rootroot00000000000000catalog.json000066400000000000000000000026511517436701200352750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/glonass{ "type": "Catalog", "id": "glonass", "stac_version": "1.0.0", "description": "GLONASS or \"Global Navigation Satellite System\", is a space-based satellite navigation system operating in the radionavigation-satellite service. It provides an alternative to GPS and is the second navigational system in operation with global coverage and of comparable precision. Manufacturers of GPS devices say that adding GLONASS made more satellites available to them, meaning positions can be fixed more quickly and accurately, especially in built-up areas where the view to some GPS satellites is obscured by buildings. Smartphones generally tend to use the same chipsets and the versions used since 2015 receive GLONASS signals and positioning information along with GPS. Since 2012, GLONASS was the second most used positioning system in mobile phones after GPS. The system has the advantage that smartphone users receive a more accurate reception identifying location to within 2 meters.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://glonass-iac.ru/en/about_glonass/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "GLONASS" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/goce/000077500000000000000000000000001517436701200323125ustar00rootroot00000000000000catalog.json000066400000000000000000000014541517436701200345440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/goce{ "type": "Catalog", "id": "goce", "stac_version": "1.0.0", "description": "GOCE - Gravity field and steady-state Ocean Circulation Explorer was a geodynamics and geodetics mission with the objective of determining the stationary gravitational field. The mission ended in October 2013 after it ran out of fuel.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=376", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "GOCE" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/gosat/000077500000000000000000000000001517436701200325125ustar00rootroot00000000000000catalog.json000066400000000000000000000014471517436701200347460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/gosat{ "type": "Catalog", "id": "gosat", "stac_version": "1.0.0", "description": "GOSAT (Greenhouse gases Observing Satellite) / Ibuki) is a mission within the Global Change Observation Mission (GCOM) program of Japan. This mission monitors Greenhouse Gases (GHGs) sources and sinks on a subcontinental scale.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=458", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "GOSAT" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/grace-fo/000077500000000000000000000000001517436701200330605ustar00rootroot00000000000000catalog.json000066400000000000000000000023321517436701200353060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/grace-fo{ "type": "Catalog", "id": "grace-fo", "stac_version": "1.0.0", "description": "Gravity Recovery and Climate Experiment - Follow On (GRACE-FO) is the successor to the original Gravity Recovery and Climate Experiment (GRACE) mission. The two identical satellites, a joint mission of NASA and the German Aerospace Centre (DLR) were launched from California, USA, in May 2018. GRACE-FO maintains data continuity for measuring changes in high-resolution monthly global models of Earth’s gravitational field, achieved by tracking water movement and surface mass changes across the planet. GRACE-FO applications include monitoring water storage, ice sheets and glaciers, sea level, and solid earth, similar to that of its predecessor, GRACE.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=686", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "GRACE-FO" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/grace/000077500000000000000000000000001517436701200324565ustar00rootroot00000000000000catalog.json000066400000000000000000000015241517436701200347060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/grace{ "type": "Catalog", "id": "grace", "stac_version": "1.0.0", "description": "GRACE (Gravity Recovery And Climate Experiment) satellites mapped detailed measurements of the global gravitational fields with unprecedented precision. Data from GRACE satellites covered wide application areas. GRACE consists of two satellites (A, B) serving one mission.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=337", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "GRACE" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/icesat-2/000077500000000000000000000000001517436701200330045ustar00rootroot00000000000000catalog.json000066400000000000000000000017371517436701200352420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/icesat-2{ "type": "Catalog", "id": "icesat-2", "stac_version": "1.0.0", "description": "ICESa (Ice, Cloud, and Land Elevation Satellite 2) is a NASA/GSFC mission within the ESE (Earth Science Enterprise) program. 3-year nominal mission life, 5-year goal. Continue the assessment of polar ice changes and measure vegetation canopy heights, allowing estimates of biomass and carbon in aboveground vegetation in conjunction with related missions, and allow measurements of solid earth properties.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=613", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "ICESat-2" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/icesat/000077500000000000000000000000001517436701200326455ustar00rootroot00000000000000catalog.json000066400000000000000000000022151517436701200350730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/icesat{ "type": "Catalog", "id": "icesat", "stac_version": "1.0.0", "description": "ICESat (Ice, Cloud, and Land Elevation Satellite) is a NASA/GSFC mission within the ESE (Earth Science Enterprise) program. The prime objective is to monitor the mass balance of the polar ice sheets and their contributions to global sea level change. Secondary goals are to measure cloud heights and the vertical structure of clouds and aerosols in the atmosphere, further to measure roughness, reflectivity, vegetation heights, snow-cover, and sea-ice surface characteristics, and to map topography of land surfaces. Note: ICESat is the renamed former “Laser Altimetry-1” mission.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=212", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "ICESat" }in-situ-observations/000077500000000000000000000000001517436701200354225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missionscatalog.json000066400000000000000000000022621517436701200377310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/in-situ-observations{ "type": "Catalog", "id": "in-situ-observations", "stac_version": "1.0.0", "description": "In situ data means \"observation data from ground-, sea-, or air-borne sensors, reference and ancillary data\" (Regulation EU 2021/696 of EU Publications Office). “In situ” describes data collected adjacent to the measuring instrument, like temperature readings by a thermometer. It includes physical observations, such as air temperature or ocean currents, reference data (e.g. maps), and economic, environmental and social information. In situ data embraces two main categories: observations and geospatial reference data (https://insitu.copernicus.eu/state-of-play/understanding-in-situ-data)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://insitu.copernicus.eu/state-of-play/understanding-in-situ-data", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "In-situ observations" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/jason-1/000077500000000000000000000000001517436701200326455ustar00rootroot00000000000000catalog.json000066400000000000000000000023511517436701200350740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/jason-1{ "type": "Catalog", "id": "jason-1", "stac_version": "1.0.0", "description": "Jason-1 (Joint Altimetry Satellite Oceanography Network) Mission. Jason is the name of a joint CNES/NASA oceanography mission series with the objective to monitor global ocean circulation, discover the tie between the oceans and atmosphere, improve global climate predictions, and to monitor events such as El Niño conditions and ocean eddies. The oceanography mission series is considered a cornerstone of GCOS (Global Ocean Observing System), a concept advocated by WMO (World Meteorological Organization), IOC (Intergovernmental Oceanographic Commission of the UNESCO), UNEP (United Nations Environmental Program), and ICSU (International Council of Scientific Unions).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=286", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Jason-1" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/jason-2/000077500000000000000000000000001517436701200326465ustar00rootroot00000000000000catalog.json000066400000000000000000000025421517436701200350770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/jason-2{ "type": "Catalog", "id": "jason-2", "stac_version": "1.0.0", "description": "Launched in June 2008, Jason-2, also referred to as the Ocean Surface Topography Mission (OSTM), was the follow-on mission from Jason-1 and Posiedon/TOPEX. In this mission, the National Aeronautics and Space Administration (NASA) and Centre National d’Etudes Spatiales (CNES) worked collaboratively with the National Oceanic and Atmospheric Administration (NOAA) and European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) to extend the existing time series of ocean surface topography measurements. Jason-2 successfully obtained a continuous record of observations in line with previous missions which included measurements of time-averaged ocean circulation, global sea-level change and improved open ocean tide models, until it was decommissioned in October 2019.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=419", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Jason-2" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/jason-3/000077500000000000000000000000001517436701200326475ustar00rootroot00000000000000catalog.json000066400000000000000000000024501517436701200350760ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/jason-3{ "type": "Catalog", "id": "jason-3", "stac_version": "1.0.0", "description": "Launched in January 2016, Jason-3 is the follow-on altimetry mission of Jason-2/OSTM (Ocean Surface Topography Mission) developed and led collaboratively by NOAA (National Oceanic and Atmospheric Administration), EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites), CNES (Centre national d'études spatiales) and National Aeronautics and Space Administration (NASA). Its objective is to provide continuity to the Poseidon/TOPEX (Ocean Topography Experiment), Jason-1 and Jason-2 missions which support applications related to extreme weather events, operational oceanography, climate and forecasting. The mission has been extended past its three year nominal lifetime and is operational as of August 2022.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=592", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Jason-3" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/landsat-7/000077500000000000000000000000001517436701200331675ustar00rootroot00000000000000catalog.json000066400000000000000000000035641517436701200354250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/landsat-7{ "type": "Catalog", "id": "landsat-7", "stac_version": "1.0.0", "description": "Launched in April 1999, Landsat-7 is part of NASA’s Earth Science Enterprise (ESE) program, a joint venture by NASA and USGS (United States Geological Survey). As a successor of Landsat-6, which failed upon launch, the objective of Landsat-7 is to enhance the medium-resolution multispectral imagery of Earth’s continental surfaces provided by previous Landsat satellites. Although it had an initial design life of seven years, Landsat-7 remains operational as of July 2022 and was joined by Landsat-8 in February 2013, and Landsat-9 in September 2021. Landsat-7 features the Enhanced Thermal Mapper Plus (ETM+) developed by Raytheon SBRS (Santa Barbara Remote Sensing) which builds upon the Thermal Mapper (TM) onboard Landsat-4 & -5. ETM+ is a whiskbroom scanning radiometer capable of imaging in eight distinct bands including four visible and near-infrared (VNIR), two short wave infrared (SWIR), one thermal infrared (TIR) and one panchromatic (PAN) band. The addition of the PAN band, improved resolution and two 8-bit “gain” ranges in ETM+ have led to Landsat data progressing into use for global scale studies. Data acquired using ETM+ has applications in land cover/change monitoring, agricultural forecasting, disaster response, urban planning, land and water resource management, and ecosystem monitoring.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=349", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Landsat-7" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/landsat-8/000077500000000000000000000000001517436701200331705ustar00rootroot00000000000000catalog.json000066400000000000000000000017011517436701200354150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/landsat-8{ "type": "Catalog", "id": "landsat-8", "stac_version": "1.0.0", "description": "Landsat-8, launched in February 2013, is the eighth satellite in NASA’s Landsat spacecraft series, and the first of the Landsat Data Continuity Mission (LDCM). Operated by the United States Geological Survey (USGS), this collaborative mission aims to collect and archive thermal and multispectral image data whilst ensuring consistency with previous Landsat mission data. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=547", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Landsat-8" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/landsat-9/000077500000000000000000000000001517436701200331715ustar00rootroot00000000000000catalog.json000066400000000000000000000017761517436701200354320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/landsat-9{ "type": "Catalog", "id": "landsat-9", "stac_version": "1.0.0", "description": "Launched in September 2021 as a collaboration between the National Aeronautics and Space Administration (NASA) and United States Geological Survey (USGS), Landsat-9 continues the Landsat program to monitor, understand and manage land resources crucial for sustaining human life. Landsat-9 mission objectives include the collection and archival of moderate-resolution multispectral data, to be made freely available to worldwide users.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=772", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Landsat-9" }limb-viewing-instruments/000077500000000000000000000000001517436701200363005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missionscatalog.json000066400000000000000000000055531517436701200406150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/limb-viewing-instruments{ "type": "Catalog", "id": "limb-viewing-instruments", "stac_version": "1.0.0", "description": "Satellite instruments can be classified according to their observation geometry into limb-viewing or nadir-viewing sounders. Limb sounders look tangentially through the atmosphere. Limb geometries are the natural choic for stratospheric measurements because the signal is not masked by the denser tropospheric signal, the long raypath through the atmosphere provides large sensitivity to species with low atmospheric concentrations, and the variation of the observation angle allows vertical scanning of the atmosphere. As a result, altitude information on the observed atmospheric state variables can be obtained at high vertical resolution, while the horizontal resolution is limited. For tropospheric observations, limb measurements are more challenging because of the saturation of measured radiances and the opaqueness of the troposphere due to the presence of clouds, humidity, and generally larger density. For many aspects of tropospheric sounding, nadir sounders are advantageous, due to their small horizontal footprint. The limb emission or limb viewing technique measures the longwave radiation (infrared or microwave) thermally emitted in the atmosphere along the line of sight of the instrument. The instrument looks into the limb of the Earth's atmosphere down to an altitude called the tangent altitude. It is from this altitude that the most longwave radiation comes. The viewing geometry is similar to the occultation technique, but limb emission instruments measure thermal and microwave radiation, from which they infer vertical profiles of trace gases. LIMS, CLAES, HiRDLS, TES, and MLS are some of the acronyms for the satellite instruments that we reviewed using this viewing technique. The limb scattering technique has a viewing geometry similar to that of both limb emission and occultation. This provides for good vertical resolution. But it also measures scattered solar radiation in a manner similar to the BUV measurement, using the light source in the limb of Earth's atmosphere. This allows for continuous overage through the daylight portion of the upper troposphere and stratosphere. The SCIAMACHY instrument aboard the ENVISAT-1 employs this technique. (source: http://www.ccpo.odu.edu/SEES/ozone/class/Chap_7/7_sum.htm)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.sparc-climate.org/wp-content/uploads/sites/5/2017/12/SPARC_Report_No8_Mar2017_Chapter2_Satellite_instruments.pdf", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Limb-Viewing Instruments" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/meteosat/000077500000000000000000000000001517436701200332165ustar00rootroot00000000000000catalog.json000066400000000000000000000022021517436701200354400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/meteosat{ "type": "Catalog", "id": "meteosat", "stac_version": "1.0.0", "description": "Meteosat Second Generation-1 (MSG-1). Meteosat Second Generation (MSG) is a series of climate and forecasting missions developed by ESA and EUMETSAT. Meteorology, climatology, atmospheric dynamics/water and energy cycles. Meteosat 1-7 are first generation. Meteosat 8-11 are second generation and known as MSG in the development phase. Meteosat-8's original deployment at 0 degrees ended in July 2016. It is now deployed at 41.5 degrees east in support of the Indian Ocean Data Coverage (IODC) service, and from 1 July 2022 it will only be on standby at that location.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=229", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Meteosat" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/metop/000077500000000000000000000000001517436701200325215ustar00rootroot00000000000000catalog.json000066400000000000000000000023031517436701200347450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/metop{ "type": "Catalog", "id": "metop", "stac_version": "1.0.0", "description": "The Meteorological Operational Satellite Program of Europe (MetOp) is a collaboration between the European Space Agency (ESA) and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) with the aim to provide satellite observation and data services for weather prediction and climate monitoring. MetOp provides temperature and humidity profiles on the atmosphere, as well as wind speed and direction above the ocean data for Numerical Weather Prediction (NWP). MetOp-A, launched in 2006 and retired in 2021, began the MetOp series, followed by the launches of MetOp-B and -C in 2012 and 2018, respectively. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=261", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "MetOp" }numerical-models/000077500000000000000000000000001517436701200345565ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missionscatalog.json000066400000000000000000000021751517436701200370700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/numerical-models{ "type": "Catalog", "id": "numerical-models", "stac_version": "1.0.0", "description": "Numerical models are essential tools for understanding the complex and dynamic nature of the natural environment. 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The data are used to improve geomagnetic models, to study auroral phenomena, and for correlation with Earth-based measurements in order to study the relationship between the external field and the energy coupling of the solar wind-magnetosphere-ionosphere system.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=480", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "OERSTED" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/orbview-2/000077500000000000000000000000001517436701200332115ustar00rootroot00000000000000catalog.json000066400000000000000000000021731517436701200354420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/orbview-2{ "type": "Catalog", "id": "orbview-2", "stac_version": "1.0.0", "description": "OrbView-2 (formerly SeaStar) is an imaging satellite, developed, owned, managed and operated by Orbital Imaging Corporation (OrbImage) of Dulles, VA. The overall objective of the OrbView-2/SeaWiFS mission is to provide quantitative data on global ocean bio-optical properties to the Earth science community. The OrbView-2 satellite includes the SeaWiFS (Sea-Viewing Wide Field-of-View Sensor) imaging system, an 8-band multispectral imaging instrument with a one kilometer spatial resolution. The mission was renamed to \"OrbView-2\" from \"SeaStar\" in 1997.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=214", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "OrbView-2" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sac-c/000077500000000000000000000000001517436701200323635ustar00rootroot00000000000000catalog.json000066400000000000000000000043131517436701200346120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sac-c{ "type": "Catalog", "id": "sac-c", "stac_version": "1.0.0", "description": "SAC-C (Satélite de Aplicaciones Científicas-C or Scientific Application Satellite-C) is an international cooperative Earth observation mission of Argentina, USA, Denmark, Brazil, Italy and France with CONAE (Comisión Nacional de Actividades Espaciales) of Buenos Aires (CONAE is the Space Agency of Argentina) and NASA as the main partners. CONAE provided the S/C bus and payload instrumentation, NASA provided launch services and two instruments, a GPS flight receiver (GOLPE) and SHM (Scalar Helium Magnetometer) part of the Ørsted-2 instrument. Denmark is contributing with the MMP (Magnetic Mapping Payload) that is a heritage from the Ørsted satellite, called Ørsted-2. INPE of Brazil is providing the system-level environmental testing facilities and its test support capabilities. Italy provided part of the solar panels and two technological experiments for orbit and attitude determination, IST and INES. The overall objective is to study the structure and dynamics of the Earth's surface, atmosphere, ionosphere and geomagnetic field. Specific science objectives are to: Provide multispectral images of the Earth in order to monitor the condition and dynamics of the terrestrial and marine biosphere and environment; Develop and utilize new GPS-based techniques to globally measure atmospheric phenomena for the study of weather, seasonal, inter-annual and long-term climate change; Enhance the understanding of the Earth's magnetic field and related sun-Earth interactions; Measurement of the high-energy radiation environment, trapped particles intensities and energy distribution and correlation with degradation of electronic components.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.eoportal.org/satellite-missions/sac-c#%C3%B8rsted-2-magnetic-mapping-payload", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "SAC-C" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/saral/000077500000000000000000000000001517436701200324775ustar00rootroot00000000000000catalog.json000066400000000000000000000014101517436701200347210ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/saral{ "type": "Catalog", "id": "saral", "stac_version": "1.0.0", "description": "SARAL (Satellite with ARgos and ALtiKa) is an altimetric minisatellite operated by ISRO and CNES. Launched in 2013, data gathered by SARAL has applications in oceanography and atmospheric studies.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=572", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "SARAL" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sentinel-1/000077500000000000000000000000001517436701200333545ustar00rootroot00000000000000catalog.json000066400000000000000000000014631517436701200356060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sentinel-1{ "type": "Catalog", "id": "sentinel-1", "stac_version": "1.0.0", "description": "Sentinel-1 is a constellation of two imaging radar satellites operated by ESA. 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Both S3A, launched in February 2016, and S3B, launched in April 2018, are part of Copernicus - the European Union’s Earth observation program, managed by the European Commission (COM).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://sentinel.esa.int/web/sentinel/missions/sentinel-3", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Sentinel-3" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sentinel-5p/000077500000000000000000000000001517436701200335405ustar00rootroot00000000000000catalog.json000066400000000000000000000017171517436701200357740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sentinel-5p{ "type": "Catalog", "id": "sentinel-5p", "stac_version": "1.0.0", "description": "Sentinel-5P (S5P) is a satellite mission that is jointly operated by the European Space Agency (ESA) and the Netherlands Space Office (NSO), formerly the European Global Monitoring for Environment and Security program (GMES). The mission was designed to bridge the gap between atmospheric monitoring systems and to succeed the Envisat mission. The satellite launched in October 2017.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=581", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Sentinel-5p" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sentinel-6/000077500000000000000000000000001517436701200333615ustar00rootroot00000000000000catalog.json000066400000000000000000000026321517436701200356120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/sentinel-6{ "type": "Catalog", "id": "sentinel-6", "stac_version": "1.0.0", "description": "Launched in November 2020 with a design life of seven years, Sentinel-6 Michael Freilich is the first of two satellites to be launched as part of the Sentinel-6 (S-6) mission. As the successor of NASA’s Jason-3 mission, S-6 is a joint venture between the European Space Agency (ESA), the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), the National Aeronautics and Space Administration (NASA), and the National Oceanic and Atmospheric Administration (NOAA). As part of the ESA Copernicus programme for Earth observation, Sentinel-6 Michael Freilich will be joined by Sentinel-6B in 2025 to provide continuity in sea-surface height measurements until new technologies can take over in 2030. A secondary objective of the mission is to measure the temperature and humidity in the troposphere and stratosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=769", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Sentinel-6" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/smap/000077500000000000000000000000001517436701200323355ustar00rootroot00000000000000catalog.json000066400000000000000000000016431517436701200345670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/smap{ "type": "Catalog", "id": "smap", "stac_version": "1.0.0", "description": "Launched in January 2015, the Soil Moisture Active Passive (SMAP) mission consists of an imaging radar satellite whose operations are led by the National Aeronautical and Space Administration (NASA), with assistance from the Canadian Space Agency (CSA). SMAP uses radio waves to map soil moisture and determine the freeze or thaw state of the same area.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=614", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "SMAP" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/smos/000077500000000000000000000000001517436701200323565ustar00rootroot00000000000000catalog.json000066400000000000000000000015651517436701200346130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/smos{ "type": "Catalog", "id": "smos", "stac_version": "1.0.0", "description": "Soil Moisture and Ocean Salinity (SMOS) mission is a microwave imaging satellite whose operation is led by ESA as part of their Earth Explorer missions. 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Suomi NPP is operated by NASA and the National Oceanic and Atmospheric Administration (NOAA), with the aim of monitoring the environment on Earth and the planet’s climate.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=413", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "Suomi NPP" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/swarm/000077500000000000000000000000001517436701200325265ustar00rootroot00000000000000catalog.json000066400000000000000000000022521517436701200347550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/eo-missions/swarm{ "type": "Catalog", "id": "swarm", "stac_version": "1.0.0", "description": "Launched in November 2013, Swarm is a constellation of three satellites operated by the European Space Agency (ESA) with the purpose of mapping Earth’s magnetic field. 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From this information, ocean circulation patterns can be mapped. The T/P data analysis helps to understand how the oceans interact with the atmosphere, and improve our ability to predict the global climate. NASA provided the satellite bus, five instruments, and is responsible for spacecraft operations. CNES furnished two of the spacecraft's instruments and the mission's Ariane launch vehicle.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://database.eohandbook.com/database/missionsummary.aspx?missionID=210", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "EO Missions" } ], "title": "TOPEX/Poseidon" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processes/000077500000000000000000000000001517436701200311365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processes/catalog.json000066400000000000000000000025001517436701200334400ustar00rootroot00000000000000{ "type": "Catalog", "id": "processes", "stac_version": "1.0.0", "description": "Processes for reproducible science", "links": [ { "rel": "root", "href": "../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "process", "href": "./sleeper/sleeper.cwl", "type": "application/cwl", "title": "python-sleeper", "description": "Run a Python sleeper for between min and max seconds randomly.", "version": "0.0.2" }, { "rel": "process", "href": "./insar-closure-phase/insar-closure-phase.cwl", "type": "application/cwl", "title": "insar-closure-phase", "description": "Insar closure phase.", "version": "0.1.0" }, { "rel": "process", "href": "./osc-closure-phase/osc-closure-phase-0.2.0.cwl", "type": "application/cwl", "title": "inSAR Closure Phase", "description": "Computes the inSAR closure phase from 3 Sentinel-1 SLCs acquisitions.", "version": "0.2.0", "keywords": [ "FILTER:input-type:Sentinel-1 IW SLC", "FILTER:coverage:Global" ] } ], "title": "Processes" }insar-closure-phase/000077500000000000000000000000001517436701200347435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processesinsar-closure-phase.cwl000066400000000000000000000102541517436701200413400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processes/insar-closure-phase$namespaces: s: https://schema.org/ cwlVersion: v1.0 s:softwareVersion: 0.1.0 schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf $graph: - class: Workflow id: insar-closure-phase label: Insar closure phase doc: Insar closure phase requirements: - class: ScatterFeatureRequirement - class: InlineJavascriptRequirement - class: SubworkflowFeatureRequirement inputs: reference: type: Directory label: Reference SLC dataset secondary: type: Directory[] label: Secondary SLC dataset swath: type: string label: swath outputs: - id: wf_outputs outputSource: - node_closure_phase/results type: Directory steps: node_graphista: in: reference: reference secondary: secondary swath: swath out: - results run: "#graphista" scatter: secondary scatterMethod: dotproduct node_closure_phase: in: input_reference: node_graphista/results swath: swath out: - results run: '#closure_phase' - class: CommandLineTool id: graphista label: generates the interferogram for S1 SLC requirements: DockerRequirement: dockerPull: registry.hub.docker.com/terradue/graphista-empty:dev0.11.2 ResourceRequirement: coresMax: 4 ramMax: 36000 InlineJavascriptRequirement: {} InitialWorkDirRequirement: listing: - entryname: custom.vmoptions entry: |- # Enter one VM parameter per line # Initial memory allocation -Xms16G # Maximum memory allocation -Xmx32G # Disable verifier -Xverify:none # Turns on point performance optimizations -XX:+AggressiveOpts # disable some drawing driver useless in server mode -Dsun.java2d.noddraw=true -Dsun.awt.nopixfmt=true -Dsun.java2d.dpiaware=false # larger tile size to reduce I/O and GC -Dsnap.jai.defaultTileSize=1024 -Dsnap.dataio.reader.tileWidth=1024 -Dsnap.dataio.reader.tileHeigh=1024 # disable garbage collector overhead limit -XX:-UseGCOverheadLimit - entryname: run_me.sh entry: |- reference=$1 cd /tmp graphista run --custom-recipe $HOME/processor.py "$@" exitcode=$? echo "Graphista exit code $exitcode" [ "$exitcode" != "0" ] && exit $exitcode cd - Stars copy -r 4 -rel -xa False -o ./ /tmp/catalog.json exitcode=$? echo "Stars exit code $exitcode" [ "$exitcode" != "0" ] && exit $exitcode rm -fr .cache .config .install4j run_me.sh custom.vmoptions || true exit $exitcode - entryname: processor.py entry: baseCommand: ["/bin/bash", "run_me.sh"] arguments: - --reference - $( inputs.reference.path ) - --secondary - $( inputs.secondary.path ) - --params - ${ return "swath=" + inputs.swath; } inputs: reference: type: Directory secondary: type: Directory swath: type: string outputs: results: type: Directory outputBinding: glob: . - class: CommandLineTool id: closure_phase label: post processes the interferogram requirements: DockerRequirement: dockerPull: registry.hub.docker.com/terradue/s1slc-closure-phase:0.1.0 ResourceRequirement: coresMax: 2 ramMax: 8000 InlineJavascriptRequirement: {} baseCommand: closure-phase arguments: - valueFrom: | ${ var input_reference=[]; for (var i = 0; i < inputs.input_reference.length; i++) { input_reference.push("--input_reference"); input_reference.push(inputs.input_reference[i].path); } return input_reference; } - valueFrom: ${ return ["--swath", inputs.swath]; } inputs: input_reference: type: Directory[] swath: type: string outputs: results: outputBinding: glob: . type: Directoryosc-closure-phase/000077500000000000000000000000001517436701200344135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processesosc-closure-phase-0.2.0.cwl000066400000000000000000000060011517436701200411060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processes/osc-closure-phase$graph: - class: Workflow doc: Computes the inSAR closure phase from 3 Sentinel-1 SLCs acquisitions id: insar-clos-wf inputs: products: label: Sentinel-1 IW SLC products doc: Array of 3 Sentinel-1 IW SLC products default: s3://EODATA/Sentinel-1/SAR/SLC/2021/04/15/S1B_IW_SLC__1SDV_20210415T173631_20210415T173658_026480_032957_3A85.SAFE,s3://EODATA/Sentinel-1/SAR/SLC/2021/04/03/S1B_IW_SLC__1SDV_20210403T173630_20210403T173657_026305_0323C6_27E3.SAFE,s3://EODATA/Sentinel-1/SAR/SLC/2021/03/22/S1B_IW_SLC__1SDV_20210322T173630_20210322T173657_026130_031E3C_2B9F.SAFE type: Directory[] graph: doc: Path to SNAP graph label: SNAP graph type: string default: /script/coreg_ifg_SLC.xml box: label: Boundaries in pixels doc: The boundaries of the AOI in pixels (minX,minY,maxX,maxY). type: string default: '0,0,12000,6000' label: inSAR Closure Phase outputs: - id: closure_phase_output label: Outputs outputSource: - step_2/log_output type: Directory steps: step_1: in: products: products graph: graph out: - log_output run: '#closure_phase_step1' step_2: in: source: step_1/log_output box: box out: - log_output run: '#closure_phase_step2' - baseCommand: - python3 - "/script/main.py" arguments: - "--destination" - "." class: CommandLineTool id: closure_phase_step1 inputs: products: inputBinding: prefix: --products type: Directory[] graph: inputBinding: prefix: --graph type: string outputs: log_output: outputBinding: glob: . type: Directory requirements: DockerRequirement: dockerPull: nexus.spaceapplications.com/repository/docker-asb-public/cwl/osc-closure-phase-step1:2023-04-11a - id: closure_phase_step2 class: CommandLineTool baseCommand: - python3 - "/script/ClosurePhase_step2.py" arguments: - "--destination" - "." inputs: source: doc: The source folder that contains the SLC and ifg sub-folders. type: Directory inputBinding: prefix: --source box: doc: The boundaries of the AOI in pixels (minX,minY,maxX,maxY). type: string default: '0,0,12000,6000' inputBinding: prefix: --box outputs: log_output: outputBinding: glob: . type: Directory requirements: DockerRequirement: dockerPull: nexus.spaceapplications.com/repository/docker-asb-public/cwl/osc-closure-phase-step2:2023-04-18a s:contributor: - s:name: Thibault Taillade s:email: thibault.taillade@example.com s:affiliation: ESA s:logo: https://upload.wikimedia.org/wikipedia/commons/6/6e/ESA_logo_simple.svg s:dateCreated: '2023-03-11' s:keywords: FILTER:input-type:Sentinel-1 IW SLC, FILTER:coverage:Global $namespaces: s: https://schema.org/ cwlVersion: v1.0 s:softwareVersion: 0.2.0 schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdf stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processes/sleeper/000077500000000000000000000000001517436701200325755ustar00rootroot00000000000000sleeper.cwl000066400000000000000000000032411517436701200346640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/processes/sleeper#!/usr/bin/env cwl-runner $graph: - class: Workflow doc: Run a Python sleeper for between min and max seconds randomly id: python-sleeper inputs: min_sleep_seconds: doc: Min sleeping seconds label: Min sleeping seconds type: string max_sleep_seconds: doc: Max sleeping seconds label: Max sleeping seconds type: string ignored_product: doc: Ignored product label: Product type: Directory label: Python sleeper outputs: - id: sleeper_output type: Directory outputSource: - sleeper/log_output steps: sleeper: in: min_sleep_seconds: min_sleep_seconds max_sleep_seconds: max_sleep_seconds ignored_product: ignored_product out: - log_output run: '#sleeper' - class: CommandLineTool baseCommand: python3 id: sleeper arguments: [/script/python-sleeper.py] requirements: DockerRequirement: # dockerPull: 10.6.1.135:5000/python-sleeper-cwl:latest dockerPull: nexus.spaceapplications.com/repository/docker-asb-procs/cwl/python-sleeper-cwl:latest EnvVarRequirement: envDef: INPUT_FOLDER: $(inputs.ignored_product["location"]) inputs: min_sleep_seconds: type: string inputBinding: position: 1 max_sleep_seconds: type: string inputBinding: position: 2 ignored_product: type: Directory inputBinding: position: 3 outputs: log_output: type: Directory outputBinding: glob: . cwlVersion: v1.0 $namespaces: s: https://schema.org/ s:softwareVersion: 0.0.2 schemas: - http://schema.org/version/9.0/schemaorg-current-http.rdfstac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/000077500000000000000000000000001517436701200307735ustar00rootroot00000000000000absolute-sea-level-heights-baltics-sar-hsu/000077500000000000000000000000001517436701200410355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037421517436701200440710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/absolute-sea-level-heights-baltics-sar-hsu{ "type": "Collection", "id": "absolute-sea-level-heights-baltics-sar-hsu", "stac_version": "1.0.0", "description": "Time series of absolute sea level heights of tide gauge stations involved in the project BALTIC+ Geodetic SAR for Baltic Height System Unification (SAR-HSU). 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Dust mass concentration and cloud-relevant dust number concentration profiles (based on Marinou et al. ACP (2017), Marinou et al. ACP (2019) and Ansmann et al., AMT (2019)). 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The products are provided for all CALIPSO overpasses, using the CALIPSO L2 aerosol product horizontal resolution of 5km.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "ftps://livas:livas-public@react.space.noa.gr", "title": "Access" }, { "rel": "via", "href": "http://195.251.203.238/beyond/images/docs/publications/atmospheric/Amiridis_LIVAS.pdf", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Aerosol (and dust aerosol) optical depth_Global_CALIPSO", "osc:themes": [ "Atmosphere" ], "osc:missions": [ "CALIPSO" ], "osc:project": "livas", "osc:variables": [ "Aerosol Optical Depth/Thickness" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "atmosphere_optical_thickness_due_to_dust_dry_aerosol" } ], "osc:region": "Global", "created": "2021-01-01T00:00:00Z", "start_datetime": "2006-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2006-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Aerosols", "Aerosol Optical Depth/Thickness" ] }aerosol-pure-dust-op-livas/000077500000000000000000000000001517436701200360365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000046071517436701200410730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/aerosol-pure-dust-op-livas{ "type": "Collection", "id": "aerosol-pure-dust-op-livas", "stac_version": "1.0.0", "description": "Aerosol optical profiles (extinction and backscatter coefficients, particle depolarization ratio) and aerosol and cloud optical depth from CALIPSO. Pure dust products (extinction and backscatter coefficient, mass concentration, cloud relevant number concentrations) based on Marinou et al. ACP (2017), Marinou et al. ACP (2019) and Ansmann et al., AMT (2019). The products are provided for all CALIPSO overpasses, using the CALIPSO L2 aerosol product horizontal resolution of 5km. All products are clustered and averaged per overpass in 1x1 degree grid.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "ftps://livas:livas-public@react.space.noa.gr", "title": "Access" }, { "rel": "via", "href": "http://195.251.203.238/beyond/images/docs/publications/atmospheric/Amiridis_LIVAS.pdf", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Aerosol (and dust aerosol) optical property profiles_Pure Dust concentration profiles_cloud-relevant dust number concentrations profiles_Global_CALIPSO", "osc:themes": [ "Atmosphere" ], "osc:missions": [ "CALIPSO" ], "osc:project": "livas", "osc:variables": [ "Aerosol Optical Depth/Thickness" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_dust_dry_aerosol_particles_in_air" } ], "osc:region": "Global", "created": "2021-01-01T00:00:00Z", "start_datetime": "2006-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2006-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Aerosols", "Aerosol Optical Depth/Thickness" ] }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/albedo-circas/000077500000000000000000000000001517436701200334635ustar00rootroot00000000000000collection.json000066400000000000000000000040171517436701200364340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/albedo-circas{ "type": "Collection", "id": "albedo-circas", "stac_version": "1.0.0", "description": "Surface (albedo) products derived from S3A/SLSTR observations retrieved using the same radiative transfer physics and assumptions. The retrieval is based on the CISAR (Combined Inversion of Surface and Atmosphere pRoperties) algorithm. The spatial resolution of the CIRCAS user products is 5km. The CIRCAS products are delivered in NetCDF-4 format. The NetCDF files specification follows the CF conventions [NetCDF, 2010].", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "ftp://ftp.brockmann-consult.de", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Albedo_Regional_S3A/SLSTR", "osc:themes": [ "Land", "Cryosphere", "Atmosphere", "Oceans" ], "osc:missions": [ "Sentinel-3" ], "osc:project": "circas", "osc:variables": [ "Albedo" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "surface_albedo" } ], "osc:region": "Regional", "created": "2021-12-31T00:00:00Z", "start_datetime": "2019-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric Radiation", "Albedo", "Snow/Ice", "Land Surface", "Surface Radiative Properties", "Terrestrial Hydrosphere" ] }antarctic-ice-shelf-calving-fronts/000077500000000000000000000000001517436701200374535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000041261517436701200425040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/antarctic-ice-shelf-calving-fronts{ "type": "Collection", "id": "antarctic-ice-shelf-calving-fronts", "stac_version": "1.0.0", "description": "Antarctic Coastlines, 1997-2021. Time-evolving Antarctic calving fronts from observations. Greene, Chad A., Gardner, Alex S., Schlegel, Nicole-Jeanne, & Fraser, Alexander D. (2022)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://zenodo.org/record/5903643", "title": "Access" }, { "rel": "via", "href": "https://www.nature.com/articles/s41586-022-05037-w", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.5281/zenodo.5903642" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Antarctic Ice Shelf Calving Fronts 1997-2021", "osc:themes": [ "Cryosphere" ], "osc:missions": [], "osc:project": "polar-ice-shelves", "osc:variables": [ "Ice Extent" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "antarctic-ice-shelf-calving-fronts" } ], "osc:region": "Antarctica", "created": "2023-01-25T00:00:00Z", "start_datetime": "1997-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "sci:doi": "10.5281/zenodo.5903642", "extent": { "spatial": { "bbox": [ [ -180.0, -60.0, 180.0, 83.0 ] ] }, "temporal": { "interval": [ [ "1997-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Sea Ice", "Ice Shelf", "Ice Extent", "Cryospheric Indicators" ] }antarctic-ice-shelf-melt-rates/000077500000000000000000000000001517436701200365745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000043371517436701200416310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/antarctic-ice-shelf-melt-rates{ "type": "Collection", "id": "antarctic-ice-shelf-melt-rates", "stac_version": "1.0.0", "description": "Antarctic ice shelf basal melt rates from 1997 to 2021. All code required to reproduce the results presented in Davison et al. Annual mass budget of Antarctic ice shelves from 1997 to 2021. Also provided are the ice shelf masks and 500x500 m basal melt rates.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://zenodo.org/record/8052519", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.5281/zenodo.8052518", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.5281/zenodo.8052518" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Antarctic ice shelf basal melt rates 1997-2021", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "polar-ice-shelves", "osc:variables": [ "Ice Growth/Melt" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "antarctic-ice-shelf-melt-rates" } ], "osc:region": "Antarctica", "created": "2023-06-18T00:00:00Z", "start_datetime": "1997-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "sci:doi": "10.5281/zenodo.8052518", "extent": { "spatial": { "bbox": [ [ -180.0, -60.0, 180.0, 83.0 ] ] }, "temporal": { "interval": [ [ "1997-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glacier Thickness/Ice Sheet Thickness", "Sea Ice", "Sea Ice Volume Budget", "Ocean Volume Budget", "Snow/Ice" ] }baltic-sea-level-baltic-seal/000077500000000000000000000000001517436701200362035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000035741517436701200412420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/baltic-sea-level-baltic-seal{ "type": "Collection", "id": "baltic-sea-level-baltic-seal", "stac_version": "1.0.0", "description": "Suit of products containing: 1) Reprocessed Along-Track Sea Level Estimations at 20-Hz; 2) Reprocessed monthly sea level grids; 3) Gridded mean sea surface height; 4) Maps of estimated sea level trends, annual cycle and uncertainties", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://balticseal.eu/data-access/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Baltic Sea Level_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "TOPEX/Poseidon", "ERS-2", "Jason-1", "Jason-2", "Jason-3", "ENVISAT", "CryoSat-2", "SARAL", "Sentinel-3" ], "osc:project": "baltic-seal-sea-level", "osc:variables": [ "Sea Level" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_level" } ], "osc:region": "Europe", "created": "2021-11-02T00:00:00Z", "start_datetime": "1995-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.0982681011, 53.0247903014, 31.9809728849, 67.1748890303 ] ] }, "temporal": { "interval": [ [ "1995-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Level" ] }baltic-sea-surface-salinity-l3-baltic-salinity-dynamics/000077500000000000000000000000001517436701200434075ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000051361517436701200464420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/baltic-sea-surface-salinity-l3-baltic-salinity-dynamics{ "type": "Collection", "id": "baltic-sea-surface-salinity-l3-baltic-salinity-dynamics", "stac_version": "1.0.0", "description": "To develop a novel Baltic L3 SSS (Sea Surface Salinity) product from the measurements provided by the SMOS (Soil Moisture and Ocean Salinity) mission and to study the potential benefit of incorporating this SSS product into oceanographic and environmental applications within the Baltic Sea. Data acquisition: Satellite ESA SMOS mission (Soil Moisture and Ocean Salinity). Time coverage 05 February 2011 - 27 December 2019. Time resolution: 9 days. Maps frequency generation: Daily. Spatial coverage: Latitude range: 53.5ºN-68ºN Longitude range: 8ºE-30.5ºE. Spatial resolution: 0.25 degrees. Spatial grid: WGS 84 / Regular longitude-latitude. Sensor Satellite SMOS / MIRAS. Format NetCDF. Climate and Forecast (CF) conventions version: 1.6.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://digital.csic.es/handle/10261/239764", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.20350/digitalCSIC/13859" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Baltic Sea Surface Salinity L3 maps (V.2.0)_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "SMOS", "SMAP" ], "osc:project": "baltic-salinity-dynamics", "osc:variables": [ "Sea Surface Salinity" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_surface_salinity" } ], "osc:region": "Baltics", "created": "2021-01-19T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "version": "2", "sci:doi": "10.20350/digitalCSIC/13859", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Salinity/Density", "Sea Surface Salinity", "Sea Ice" ] }baltic-sea-surface-salinity-l4-baltic-salinity-dynamics/000077500000000000000000000000001517436701200434105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000052251517436701200464420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/baltic-sea-surface-salinity-l4-baltic-salinity-dynamics{ "type": "Collection", "id": "baltic-sea-surface-salinity-l4-baltic-salinity-dynamics", "stac_version": "1.0.0", "description": "To develop a novel Baltic L4 SSS (Sea Surface Salinity) product from the measurements provided by the SMOS (Soil Moisture and Ocean Salinity) mission merged with SST (Sea Surface Temperature) and to study the potential benefit of incorporating this SSS product into oceanographic and environmental applications within the Baltic Sea. Data acquisition: Satellite ESA SMOS mission (Soil Moisture and Ocean Salinity), ESA CCI SST. Time coverage: 05 February 2011 - 27 December 2019. Time resolution: Daily. Maps frequency generation: Daily. Spatial coverage: Latitude range: 53.5ºN-68ºN Longitude range: 8ºE-30.5ºE. Spatial resolution: 0.05 degrees. Spatial grid: WGS 84 / Regular longitude-latitude. Sensor Satellite SMOS / MIRAS. Format NetCDF. Climate and Forecast (CF) conventions version: 1.6.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://digital.csic.es/handle/10261/239770", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.20350/digitalCSIC/13860" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Baltic Sea Surface Salinity L4 maps (V.2.0)_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "SMOS", "SMAP" ], "osc:project": "baltic-salinity-dynamics", "osc:variables": [ "Sea Surface Salinity" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_surface_salinity" } ], "osc:region": "Baltics", "created": "2021-01-31T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "version": "2", "sci:doi": "10.20350/digitalCSIC/13860", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Salinity/Density", "Sea Surface Salinity", "Sea Ice" ] }basal-melt-monthly/000077500000000000000000000000001517436701200344255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000054071517436701200374610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/basal-melt-monthly{ "type": "Collection", "id": "basal-melt-monthly", "stac_version": "1.0.0", "description": "Monthly basal melt discharge (2001-2019) at the five selected drainage basins on the Greenland ice sheet; NEGIS, Northern Lakes, Southern Lakes, Store, and Watson. This is based on solid and liquid discharge estimates for each marine-terminating glacier, thus assessing the seasonal and annual export of freshwater from the land ice to the fjords. For each study site, a *.csv is available containing the total (sum of the components due to geothermal heating, frictional heating and surface water heating) monthly basal discharge rates. Please read the README_BasalMelt.txt in the zip file and references Karlsson, Nanna B, 2021, \"Greenland Ice Sheet Basal Melt\", https://doi.org/10.22008/FK2/PLNUEO , GEUS Dataverse, V1, Karlsson, N.B., Solgaard, A.M., Mankoff, K.D. et al. A first constraint on basal melt-water production of the Greenland ice sheet. 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The estimations are directly from the MAR 3.11 RCM. Please read the README_UpperLower.txt in the zip file. 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The access is password protected, please, contact Davide Dionisi (CNR-ISMAR, davide.dionisi@cnr.it) for access.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "ftp://aeolus@51.68.87.22", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Diffuse attenuation: Kd_Global_AEOLUS", "osc:themes": [ "Oceans" ], "osc:missions": [ "AEOLUS" ], "osc:project": "aeolus-inno-color", "osc:variables": [ "Diffuse Attenuation Coefficient (DAC)" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "diffuse_attenuation" } ], "osc:region": "Global", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Attenuation/Transmission", "Diffuse Attenuation Coefficient (DAC)" ] }dissolved-organic-carbon-bicep/000077500000000000000000000000001517436701200366525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000055451517436701200417110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/dissolved-organic-carbon-bicep{ "type": "Collection", "id": "dissolved-organic-carbon-bicep", "stac_version": "1.0.0", "description": "A random forest regression model for near surface ocean Dissolved Organic Carbon was trained using in situ data from Hansell et al. 2021 (doi: 10.25921/s4f4-ye35). The DOC model uses Remote sensing reflectances from the Ocean Colour Climate Change Initiative (OC-CCI), primary production (Kulk et al. 2021; doi: 10.5285/69b2c9c6c4714517ba10dab3515e4ee6), sea surface temperature from the Group for High Resolution Sea Surface Temperature (GHRSST), salinity from the Sea Surface Salinity Climate Change Initiative and geographical information as predictors. The random forest model for global DOC produces estimates that are in good agreement with the available in situ data in open water (>300 km from shore), where the relative uncertainty is on average smaller than 10%. The model has been used to produce monthly global marine DOC at 9 km resolution for the years 2010-2019. Data were produced in an ESA funded project led by the Plymouth Marine Laboratory and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The research underpinning the work was supported by the European Space Agency (ESA) Biological Pump and Carbon Export Processes (BICEP) project.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/DOC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Dissolved Organic Carbon dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Dissolved Organic Carbon" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "dissolved_organic_carbon" } ], "osc:region": "Global", "created": "2021-03-21T00:00:00Z", "start_datetime": "2010-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2010-01-01T00:00:00Z", "2018-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Organic Carbon", "Dissolved Organic Carbon" ] }doppler-derived-surface-current-world-ocean-circulation/000077500000000000000000000000001517436701200436315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000035171517436701200466650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/doppler-derived-surface-current-world-ocean-circulation{ "type": "Collection", "id": "doppler-derived-surface-current-world-ocean-circulation", "stac_version": "1.0.0", "description": "Sentinel-1 IW Ocean Surface Current Radial Velocity product in Agulhas current", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.worldoceancirculation.org/Products", "title": "Access" }, { "rel": "via", "href": "https://drive.google.com/file/d/1X2RyNDp550pSnQik6tX0g2WwsWiS6ioz/view?usp=sharing", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Doppler derived surface current_Agulhas_S1", "osc:themes": [ "Oceans" ], "osc:missions": [], "osc:project": "woc", "osc:variables": [ "Surface Currents" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "doppler_derived_surface_current" } ], "osc:region": "Agulhas", "created": "2021-11-30T00:00:00Z", "start_datetime": "2019-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 19.9931766896, -34.845355958, 20.0417410996, -34.8205312217 ] ] }, "temporal": { "interval": [ [ "2019-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Circulation", "Ocean Currents", "Surface Currents" ] }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/dust-od-livas/000077500000000000000000000000001517436701200334665ustar00rootroot00000000000000collection.json000066400000000000000000000040161517436701200364360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/dust-od-livas{ "type": "Collection", "id": "dust-od-livas", "stac_version": "1.0.0", "description": "DOD of dust layers at 532 and layer boundaries, for all CALIPSO overpasses. 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The products are provided for all CALIPSO overpasses, with horizontal resolution: 1x1 degree", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "ftps://livas:livas-public@react.space.noa.gr", "title": "Access" }, { "rel": "via", "href": "http://195.251.203.238/beyond/images/docs/publications/atmospheric/Amiridis_LIVAS.pdf", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Dust optical depth (DOD) of dust layers_Global_CALIPSO", "osc:themes": [ "Atmosphere" ], "osc:missions": [ "CALIPSO" ], "osc:project": "livas", "osc:variables": [ "Aerosol Optical Depth/Thickness" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "atmosphere_optical_thickness_due_to_dust_dry_aerosol" } ], "osc:region": "Global", "created": "2016-01-01T00:00:00Z", "start_datetime": "2007-01-01T00:00:00Z", "end_datetime": "2015-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2007-01-01T00:00:00Z", "2015-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Aerosols", "Aerosol Optical Depth/Thickness" ] }dynamics-of-glacier-lakes-alpglacier/000077500000000000000000000000001517436701200377275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000040161517436701200427560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/dynamics-of-glacier-lakes-alpglacier{ "type": "Collection", "id": "dynamics-of-glacier-lakes-alpglacier", "stac_version": "1.0.0", "description": "Dynamics of glacier lakes. Most of the database has been submitted to Pangaea, where the submission is being processed. Some parts of the database fall under the copyright of the Swiss national institute for topography and were therefore only provided as point shapefiles instead of polygons. All the necessary information to reconstruct the study are provided.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://onlinelibrary.wiley.com/doi/10.1002/esp.5195", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Dynamics of glacier lakes_SwissAlps_S1/2", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-1", "Sentinel-2" ], "osc:project": "alpglacier", "osc:variables": [ "Glacier Motion/Ice Sheet Motion" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "glacial_lakes_dynamics" } ], "osc:region": "Switzerland", "start_datetime": "2016-01-01T00:00:00Z", "end_datetime": "2016-12-31T23:59:59Z", "extent": { 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"rel": "via", "href": "http://www.eo4sibs.uliege.be/doc/EO4SIBS_D4.4_AltimetryL4_DUM_v1.1.pdf", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Eddy census", "osc:themes": [ "Oceans" ], "osc:missions": [ "SMOS", "Sentinel-2", "Sentinel-3", "CryoSat-2" ], "osc:project": "eo4sibs", "osc:variables": [ "Surface Currents" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "eddy_census" } ], "osc:region": "Black Sea", "created": "2021-12-31T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 27.5070842233, 40.8729622599, 41.8106211165, 47.2684228286 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Circulation", "Ocean Currents", "Surface Currents" ] }electronic-delay-correction-baltics-sar-hsu/000077500000000000000000000000001517436701200413035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000042521517436701200443340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/electronic-delay-correction-baltics-sar-hsu{ "type": "Collection", "id": "electronic-delay-correction-baltics-sar-hsu", "stac_version": "1.0.0", "description": "The ECR electronics causes a signal delay which has to be corrected in the SAR measurements. The effect was calibrated with a set of reference ECR, yielding a model that describes the delay as a function of orbit geometry and incidence angle. The model is evaluated for each acquisition and the results are stored the in dedicated correction files. Product details available at: https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/SAR-HSU-TN-0019_Dataset_User_Manual.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/COR-EC2.zip", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "COR-EC2: ECR Electronic Delay Correction_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "GOCE", "Sentinel-1", "GLONASS" ], "osc:project": "sar-hsu", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "electronic_delay_correction" } ], "osc:region": "Baltics", "created": "2021-07-07T00:00:00Z", "start_datetime": "2020-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }elevation-and-elevation-change-antarctic-cryotop-evolution/000077500000000000000000000000001517436701200443365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000051301517436701200473630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/elevation-and-elevation-change-antarctic-cryotop-evolution{ "type": "Collection", "id": "elevation-and-elevation-change-antarctic-cryotop-evolution", "stac_version": "1.0.0", "description": "These files are gridded topography, rates of surface elevation change, and errors as 500m and 1km posting determined from surface elevation measured by swath processing of data acquired by the interferometric radar altimeter CryoSat-2. The gridded products cover the Antarctic Ice Sheet between 2011 and 2016. These data have been processed by the University of Edinburgh and are made publicly available as part of a European Space Agency funded project involving the University of Edinburgh, isardSat UK, University of Leeds-CPOM, ENVEO. Gridded elevation and elevation change over the CryoSat-2 LRM sector of the Antarctic Ice Sheet are provided by CPOM.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01287", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.5285/CDF7E028-0274-4DB7-A2EC-180220B1DD71" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Swath-derived elevation and elevation change_Antarctic ice Sheet_2011-2016_CryoSat-2", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "cryosat-cryotop-evolution", "osc:variables": [ "Digital Elevation/Terrain Model (DEM)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "swath_elevation_change_ice_sheet" } ], "osc:region": "Antarctica", "created": "2019-12-20T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2016-12-31T23:59:59Z", "sci:doi": "10.5285/CDF7E028-0274-4DB7-A2EC-180220B1DD71", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2016-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Topography", "Terrain Elevation", "Digital Elevation/Terrain Model (DEM)" ] }eo-based-cdom-baltic-sealabio/000077500000000000000000000000001517436701200363245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000046551517436701200413640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/eo-based-cdom-baltic-sealabio{ "type": "Collection", "id": "eo-based-cdom-baltic-sealabio", "stac_version": "1.0.0", "description": "The OLCI based EO results are visible in TARKKA (https://wwwi4.ymparisto.fi/i4/eng/tarkka/index.html?type=BP_CDOM&date=2019-09-01&lang=en&zoom=5.31&lat=64.23000&lon=26.00000) and the WAF (http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/). These have been derived by first performing the atmospheric correction with the Baltic+ AC processor and the using a band ratio algorithm for the estimation of CDOM. More details about the processing will be made available in the Validation Report and Dataset User Manual while comparisons of model and EO results with in situ data will be available in the Impact Assessment Report (see the Results section on the project website https://www.syke.fi/en-US/Research__Development/Research_and_development_projects/Projects/SeaLand_biogeochemical_linkages_SeaLaBio/Results).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/EO_results/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "EO based Color Disolved Organic Matter_Baltics_S3", "osc:themes": [ "Oceans", "Land" ], "osc:missions": [ "Sentinel-3" ], "osc:project": "baltic-sea-land", "osc:variables": [ "Colored Dissolved Organic Matter" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_fraction_of_dissolved_organic_matter" } ], "osc:region": "Baltics", "created": "2020-09-17T00:00:00Z", "start_datetime": "2017-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.3738792631, 53.90254289, 32.9925362748, 66.2654700409 ] ] }, "temporal": { "interval": [ [ "2017-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Organic Matter" ] }export-production-bicep/000077500000000000000000000000001517436701200355015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000050441517436701200405320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/export-production-bicep{ "type": "Collection", "id": "export-production-bicep", "stac_version": "1.0.0", "description": "This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project. Data is provided between 1998-2019 at 9 km resolution. It has been derived from the Ocean Colour Climate Change Initiative v4.2 dataset. Export production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.ceda.ac.uk/neodc/bicep/data/oceanic_export_production/v1.0/monthly/", "title": "Access" }, { "rel": "via", "href": "https://dx.doi.org/10.5285/a6fc730d88fd4935b59d64903715d891", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Export Production based on Dunne et al 2005 dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Export Production" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "export_production_dunne" } ], "osc:region": "Global", "created": "2021-12-21T00:00:00Z", "start_datetime": "1998-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1998-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics" ] }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/firn-retention/000077500000000000000000000000001517436701200337365ustar00rootroot00000000000000collection.json000066400000000000000000000101551517436701200367070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/firn-retention{ "type": "Collection", "id": "firn-retention", "stac_version": "1.0.0", "description": "Total melt water retention in the firn (1958-2019). It is estimated either directly from the MAR RCM output, or by forcing the DTU firn model with the climate from the RCMs. Reference of these MAR simulations: Tedesco, M. and Fettweis, X.: Unprecedented atmospheric conditions (1948–2019) drive the 2019 exceptional melting season over the Greenland ice sheet , The Cryosphere, 14, 1209–1223, https://doi.org/10.5194/tc-14-1209-2020, 2020.Currently we provide two datasets in this experimental dataset:1. The native model firn storage from MAR.MARv3.11 includes a description of water retention in the firn based on the MAR snow model (CROCUS) which simulates a fixed number of snow, ice, or firn layers of variable thickness, and transfers mass and energy between them. The model densifies the snow/firn layers as a function of the weight of the overlying mass, and through liquid water retention. Penetrating meltwater is retained in the firn by a fraction of the pore space (irreducible water saturation) and refreezing. Here, the irreducible water saturation is set to 10%, and the density at which pores are assumed to close off thereby eliminating liquid water retention is set to 900 kg/m3. 2. Offline DTU firn-model firn storage: In provisioning the test dataset for the Watson basin (CTS1) it was noted that the density at which pores are assumed to close off thereby eliminating liquid water retention (MAR: 900 kg/m3) is highly influential on the meltwater storage. Further, parameter studies within the DTU firn model have shown that it is more likely the pore close off is lower than the native 900 kg/m3. Hence, the DTU firn model provides a secondary estimate for meltwater storage in the firn assuming a percolation pore close off of 830 kg/m3.Both datasets are provided as summed estimates for the snow/firn covered part of five drainage basins at monthly temporal resolution; NEGIS, Northern Lakes, Southern Lakes, Store, and Watson. Please read the README_Firn.txt in the zip file. Information for the DTU firn model can be found in Simonsen, S., Stenseng, L., A?algeirsdóttir, G., Fausto, R., Hvidberg, C., & Lucas-Picher, P. (2013). Assessing a multilayered dynamic firn-compaction model for Greenland with ASIRAS radar measurements. Journal of Glaciology, 59(215), 545-558. https://doi.org/10.3189/2013JoG12J158.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.dtu.dk/ndownloader/files/36169971", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.5194/tc-14-1209-2020", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.5194/tc-14-1209-2020" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Firn Retention (ESA POLAR+ 4D Greenland Experimental Dataset)", "osc:themes": [ "Cryosphere" ], "osc:missions": [], "osc:project": "4d-greenland", "osc:variables": [ "Firn" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "firn_retention" } ], "osc:region": "Greenland", "created": "2022-07-06T00:00:00Z", "start_datetime": "1958-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "sci:doi": "10.5194/tc-14-1209-2020", "extent": { "spatial": { "bbox": [ [ -90.0, 60.0, -20.0, 82.0 ] ] }, "temporal": { "interval": [ [ "1958-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Firn", "Sea Ice" ] }geodynamic-corrections-baltics-sar-hsu/000077500000000000000000000000001517436701200403625ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000060411517436701200434110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/geodynamic-corrections-baltics-sar-hsu{ "type": "Collection", "id": "geodynamic-corrections-baltics-sar-hsu", "stac_version": "1.0.0", "description": "The geodynamic effects are computed from PTA-OBS and IERS-2010, following the definitions of the ITRF as outlined in the IERS conventions (version 2010, chapter 7, displacements of reference points). The cumulative impact on range and azimuth are stored in the correction file. The range corrections are available in units of meters 1-way. In order to apply them to the range observations, they need to be scaled by 2/c, with c denoting speed of light in vacuum. The azimuth corrections are in units of seconds and can be used as is. The following geodynamic corrections are comprised in values list in the file: Solid Earth tidal deformations caused by Sun & Moon, Ocean loading stemming from water mass redistribution by tides weighing on the coastlines using the FES2004 tidal model, Atmospheric pressure loading induced by diurnal heating of the atmosphere (S1 and S2 components), Rotational deformation due to polar motion, Ocean pole tide loading, Secular trends as inferred from nearby IGS reference site located on same tectonic plate. Multiple targets may be summarized in one file. Data blocks for different targets are placed side by side organized by dates. If a target is unavailable or detected an outlier (low SCR), the entries are set to 9. Product details available at: https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/SAR-HSU-TN-0019_Dataset_User_Manual.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/COR-GC.zip", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "COR-GC: Geodynamic Corrections_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "GOCE", "Sentinel-1", "GLONASS" ], "osc:project": "sar-hsu", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "geodynamic_corrections" } ], "osc:region": "Baltics", "created": "2021-07-07T00:00:00Z", "start_datetime": "2020-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }geodynamo-simulation-4d-earth-swarm/000077500000000000000000000000001517436701200376155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037241517436701200426510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/geodynamo-simulation-4d-earth-swarm{ "type": "Collection", "id": "geodynamo-simulation-4d-earth-swarm", "stac_version": "1.0.0", "description": "Long time series of outputs from a geodynamo model approaching Earth’s core conditions and a catalogue of simulated jerks from a geodynamo model approaching Earth’s core conditions", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://4d-earth-swarm.univ-grenoble-alpes.fr/data", "title": "Access" }, { "rel": "via", "href": "http://www.ipgp.fr/~aubert/4dearth.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Geodynamo simulation data_Earth core", "osc:themes": [ "Solid Earth", "Magnetosphere_Ionosphere" ], "osc:missions": [ "SWARM", "CryoSat-2", "CHAMP", "SAC-C", "OERSTED" ], "osc:project": "4d-earth-swarm", "osc:variables": [ "Magnetic Fields/Magnetic Currents", "Geomagnetic Indices" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "geodynamo_simulation" } ], "osc:region": "Global", "created": "2020-10-22T00:00:00Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Ionosphere/Magnetosphere Dynamics", "Magnetic Fields/Magnetic Currents", "Sun-Earth Interactions", "Geomagnetic Indices" ] }geoid-heights-baltics-sar-hsu/000077500000000000000000000000001517436701200364335ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000035411517436701200414640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/geoid-heights-baltics-sar-hsu{ "type": "Collection", "id": "geoid-heights-baltics-sar-hsu", "stac_version": "1.0.0", "description": "Geoid heights with mean epoch 2020.5 for the tide gauge stations. Product details available at: https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/SAR-HSU-TN-0019_Dataset_User_Manual.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/GEO-HGT.zip", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "GEO-HGT: Geoid Heights_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "GOCE", "Sentinel-1", "GLONASS" ], "osc:project": "sar-hsu", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "geoid_heights" } ], "osc:region": "Baltics", "created": "2021-07-07T00:00:00Z", "start_datetime": "2020-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }geothermal-heat-flow-greenland-3d-earth/000077500000000000000000000000001517436701200402715ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000033771517436701200433310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/geothermal-heat-flow-greenland-3d-earth{ "type": "Collection", "id": "geothermal-heat-flow-greenland-3d-earth", "stac_version": "1.0.0", "description": "Greenland Geothermal Heat Flow Database and Map", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://dataverse01.geus.dk/dataset.xhtml?persistentId=doi:10.22008/FK2/F9P03L", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.22008/FK2/F9P03L" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Geothermal Heat Flow Database and Map_Greenland_GOCE_SWARM", "osc:themes": [ "Solid Earth" ], "osc:missions": [ "GOCE", "SWARM" ], "osc:project": "3d-earth", "osc:variables": [ "Geothermal Energy" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "geothermal_heat_flow" } ], "osc:region": "Arctic", "created": "2021-08-26T00:00:00Z", "sci:doi": "10.22008/FK2/F9P03L", "extent": { "spatial": { "bbox": [ [ -178.4105321808, 60.6134006095, 178.3660428163, 84.2454100786 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Geothermal Dynamics", "Geothermal Energy" ] }geothermal-heat-flux-4dantarctica/000077500000000000000000000000001517436701200372755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000072211517436701200423250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/geothermal-heat-flux-4dantarctica{ "type": "Collection", "id": "geothermal-heat-flux-4dantarctica", "stac_version": "1.0.0", "description": "We investigated geothermal heat flow derived from new and existing magnetic anomaly data in the Amundsen Sea sector of West Antarctica. The magnetic anomaly data set (ASE_MagneticCompilation_Dziadeketal.tif) results from a compilation of surveys from RV Polarstern expedition PS104 (2017) and existing, partly unpublished data from various campaigns (TORUS, BBAS, AGASEA and ADMAP2.0). Further details of the processing are given in the manuscript. During PS104 the on board BO-105 helicopter was equipped with a caesium-vapour magnetometer, which was towed with a 30 m long cable and data values are given in Nanotesla. Curie depth estimates were calculated and served as a boundary condition for geothermal modeling. We split the magnetic anomaly grid into windows, with 200x200km and a 300x300km dimensions and apply spectral methods to obtain the curie depth. Depths are calculated using GMT fft tool end errors are standard deviation from fft. The results for the respective window sizes are given in 200km_Dziadek_etal_CurieDepth_Results.csv/.nc and 300km_Dziadek_etal_CurieDepth_Results.csv/.nc. .csv corresponds to xyz data and .nc corresponds to the gridded data in NetCDF format, respectively. The geothermal heat flow models (200km_GHF_windowCenters.csv/.nc and 300km_GHF_windowCenters.csv/.nc) are based on Curie depth estimates in a steady-state model of a homogeneous material with a constant geothermal gradient and thermal conductivity. The km-prefix indicates which magnetic window size was used and values for geothermal heat flow are given at the center of each window in Milliwatts per Squaremeter. Uncertainties of geothermal heat flow (200km_GHF_uncertainty.csv/.nc and 300km_GHF_uncertainty.csv/.nc) are based on Curie depth standard deviation. This dataset accompanies the manuscript High geothermal heat flow beneath Thwaites Glacier in West Antarctica inferred from aeromagnetic data, R. Dziadek, F. Ferraccioli & K. Gohl, Communications Earth & Environment, 2021.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.932452", "title": "Access" }, { "rel": "via", "href": "https://www.nature.com/articles/s43247-021-00242-3", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Geothermal heat flux estimate from aeromagnetic data", "osc:themes": [ "Cryosphere" ], "osc:missions": [], "osc:project": "4d-antarctica", "osc:variables": [ "Geothermal Heat Flux" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "geothermal_heat_flux" } ], "osc:region": "Antarctica", "created": "2021-08-18T00:00:00Z", "start_datetime": "2012-01-01T00:00:00Z", "end_datetime": "2012-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -151.16, -82.53, -65.33, -64.01 ] ] }, "temporal": { "interval": [ [ "2012-01-01T00:00:00Z", "2012-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Geothermal Dynamics", "Geothermal Energy", "Geothermal Heat Flux" ] }glacier-elevation-cryosat-mountain-glaciers/000077500000000000000000000000001517436701200414075ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000031271517436701200444400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/glacier-elevation-cryosat-mountain-glaciers{ "type": "Collection", "id": "glacier-elevation-cryosat-mountain-glaciers", "stac_version": "1.0.0", "description": "Available by request to: noel.gourmelen@ed.ac.uk", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Mountain glacier elevation and elevation change_Global_Cryosat-2", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "cryosat-mountain-glaciers", "osc:variables": [ "Glacier Elevation/Ice Sheet Elevation" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "glacier_elevation" } ], "osc:region": "Global", "start_datetime": "2010-01-01T00:00:00Z", "end_datetime": "2015-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2010-01-01T00:00:00Z", "2015-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glacier Elevation/Ice Sheet Elevation", "Cryospheric Indicators", "Glacial Measurements", "Sea Ice" ] }glacier-mass-balance-lpf-mitap/000077500000000000000000000000001517436701200365355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000033321517436701200415640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/glacier-mass-balance-lpf-mitap{ "type": "Collection", "id": "glacier-mass-balance-lpf-mitap", "stac_version": "1.0.0", "description": "Geodetic glacier mass balance derived from Digital Elevation Model differentiating using data from TanDEM-X acquisitions from austral winters 2013 and 2017", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Geodetic glacier mass balances Antarctic Peninsula <70°S between 2013 and 2017_Antarctica_TanDEM-X", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "TanDEM-X" ], "osc:project": "lpf-mit-ap", "osc:variables": [ "Glacier Mass Balance/Ice Sheet Mass Balance" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "glacier_mass_balance" } ], "osc:region": "Antarctica", "start_datetime": "2013-01-01T00:00:00Z", "end_datetime": "2017-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2013-01-01T00:00:00Z", "2017-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glacier Mass Balance/Ice Sheet Mass Balance", "Cryospheric Indicators", "Glacial Measurements", "Sea Ice" ] }glacier-surface-flow-velocity-alpglacier/000077500000000000000000000000001517436701200406525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000040301517436701200436750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/glacier-surface-flow-velocity-alpglacier{ "type": "Collection", "id": "glacier-surface-flow-velocity-alpglacier", "stac_version": "1.0.0", "description": "Glacier surface flow velocity. Most of the database has been submitted to Pangaea, where the submission is being processed. Some parts of the database fall under the copyright of the Swiss national institute for topography and were therefore only provided as point shapefiles instead of polygons. All the necessary information to reconstruct the study are provided.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://onlinelibrary.wiley.com/doi/10.1002/esp.5194", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Glacier surface flow velocity_SwissAlps_S1/2", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-1", "Sentinel-2" ], "osc:project": "alpglacier", "osc:variables": [ "Glacier Motion/Ice Sheet Motion" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "glacier_surface_flow" } ], "osc:region": "Switzerland", "start_datetime": "2016-01-01T00:00:00Z", "end_datetime": "2016-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 5.95591129, 45.81799493, 10.49229402, 47.80846475 ] ] }, "temporal": { "interval": [ [ "2016-01-01T00:00:00Z", "2016-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glacier Motion/Ice Sheet Motion", "Cryospheric Indicators", "Glacial Measurements", "Sea Ice" ] }global-marine-phytoplankton-carbon-bicep/000077500000000000000000000000001517436701200406575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000103061517436701200437050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/global-marine-phytoplankton-carbon-bicep{ "type": "Collection", "id": "global-marine-phytoplankton-carbon-bicep", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.ceda.ac.uk/neodc/bicep/data/phytoplankton_carbon/v5.0/monthly/", "title": "Access" }, { "rel": "via", "href": "https://dx.doi.org/10.5285/6a6ccbb8ef2645308a60dc47e9b8b5fb", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Total Phytoplankton Carbon dataset (9 km, OC-CCI v5)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Phytoplankton" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_phytoplankton_expressed_as_carbon_in_sea_water" } ], "osc:region": "Global", "created": "2021-12-21T00:00:00Z", "start_datetime": "1998-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1998-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Phytoplankton" ] }global-marine-phytoplankton-primary-production-bicep/000077500000000000000000000000001517436701200432625ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000072211517436701200463120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/global-marine-phytoplankton-primary-production-bicep{ "type": "Collection", "id": "global-marine-phytoplankton-primary-production-bicep", "stac_version": "1.0.0", "description": "This dataset contains global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2018 at 9 km spatial resolution. Data are provided in NetCDF format. Primary production by marine phytoplankton was modelled using ocean-colour remote sensing products and a spectrally-resolved primary production model that incorporates the vertical structure of phytoplankton and simulates changes in photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function (see Kulk et al. 2020, Sathyendranath et al. 2020a, and references therein for details). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataet). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. In situ datasets of chlorophyll-a profile parameters and P-I parameters were incorporated as described in Kulk et al. (2020). The primary production products were generated as part of the ESA Living Planet Fellowship programme ‘Primary production, Index of Climate Change in the Ocean: Long-term Observations’ (PICCOLO). Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947), from the ESA Biological Pump and Carbon Exchange Processes (BICEP) project and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing global, monthly marine phytoplankton primary production products (in mg C m-2 d-1) for the period of 1998 to 2020 at 9 km spatial resolution.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.ceda.ac.uk/neodc/bicep/data/marine_primary_production/v4.2/monthly/", "title": "Access" }, { "rel": "via", "href": "https://dx.doi.org/10.5285/69b2c9c6c4714517ba10dab3515e4ee6", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Phytoplankton Primary Production dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Phytoplankton Primary Production" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "gross_primary_production_of_carbon" } ], "osc:region": "Global", "created": "2021-12-21T00:00:00Z", "start_datetime": "1998-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1998-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Phytoplankton", "Phytoplankton Primary Production" ] }global-particulate-organic-carbon-v4-bicep/000077500000000000000000000000001517436701200407605ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000063011517436701200440060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/global-particulate-organic-carbon-v4-bicep{ "type": "Collection", "id": "global-particulate-organic-carbon-v4-bicep", "stac_version": "1.0.0", "description": "The BICEP/NCEO: Monthly global Particulate Organic Carbon (POC) v4.2 datasets contain POC concentrations (mg m^-3) with per pixel uncertainties estimates gridded on both geographic and sinusoidal projections at 9 km spatial resolution for the period of 1997 to 2020. The POC products were generated as part of the European Space Agency (ESA) Biological Pump and Carbon Exchange Processes (BICEP) project with support from the National Centre of Earth Observation (NCEO). The POC concentrations were estimated using an empirical Remote Sensing Reflectance (Rrs) band ratio algorithm by Stramski et al. (2008): 203.2*Rrs(443)/Rrs(555)^-1.034. This algorithm has shown a relatively good performance in the recent global inter-comparison study conducted by Evers-King et al. (2017). Additional variables that were used for the calculation of the POC products are also provided in the datasets, including the Rrs at 443 nm and 555 nm obtained from the ESA Ocean Colour Climate Change Initiative version 4.2 dataset (OC-CCI v4.2)(Sathyendranath et al., 2020). In addition to the papers by Stramski et al. (2008) and Evers-king et al. (2017), for more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Basis Document (ATBD) and validation report (https://bicep-project.org/Home). This version of the dataset is an updated version of the previous 'NCEO: Monthly global Particulate Organic Carbon (POC) (produced from the Ocean Colour Climate Change Initiative, Version 4.2 dataset)'.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/POC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Particulate Organic Carbon dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Particulate Organic Carbon" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "particulate_organic_carbon" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Organic Carbon", "Particulate Organic Carbon" ] }global-particulate-organic-carbon-v5-bicep/000077500000000000000000000000001517436701200407615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000103211517436701200440040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/global-particulate-organic-carbon-v5-bicep{ "type": "Collection", "id": "global-particulate-organic-carbon-v5-bicep", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.ceda.ac.uk/neodc/bicep/data/phytoplankton_carbon/v5.0/monthly/", "title": "Access" }, { "rel": "via", "href": "https://dx.doi.org/10.5285/6a6ccbb8ef2645308a60dc47e9b8b5fb", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Chlorophyll-a dataset (9 km, OC-CCI v5)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Chlorophyll Concentration" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_chlorophyll_a_in_sea_water" } ], "osc:region": "Global", "created": "2021-12-21T00:00:00Z", "start_datetime": "1998-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1998-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Chlorophyll", "Chlorophyll Concentration", "Ocean Chemistry", "Pigments" ] }gnss-positioning-solution-baltics-sar-hsu/000077500000000000000000000000001517436701200410775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000043171517436701200441320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/gnss-positioning-solution-baltics-sar-hsu{ "type": "Collection", "id": "gnss-positioning-solution-baltics-sar-hsu", "stac_version": "1.0.0", "description": "Time series of coordinates of the GNSS stations as X, Y, Z coordinates in the ITRF2014 and uncertainties. Confidence ellipsoid from eigenvalue and eigenvector decomposition of the variance-covariance-matrix scaled to a 95% confidence level. In case external reference coordinates for the same target are also available (e.g. from a terrestrial survey), the coordinate differences are computed. Product details available at: https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/SAR-HSU-TN-0019_Dataset_User_Manual.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/GNSS-POS.zip", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "GNSS-POS: GNSS positioning solution_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "GOCE", "Sentinel-1", "GLONASS" ], "osc:project": "sar-hsu", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "gnss_positioning_solution" } ], "osc:region": "Baltics", "created": "2021-07-07T00:00:00Z", "start_datetime": "2020-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }gravity-anomalies-goce-airborne-4dantarctica/000077500000000000000000000000001517436701200414205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000056071517436701200444560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/gravity-anomalies-goce-airborne-4dantarctica{ "type": "Collection", "id": "gravity-anomalies-goce-airborne-4dantarctica", "stac_version": "1.0.0", "description": "Gravity surveying is challenging in Antarctica because of its hostile environment and inaccessibility. Nevertheless, many ground-based, airborne, and shipborne gravity campaigns have been completed by the geophysical and geodetic communities since the 1980s. We present the first modern Antarctic-wide gravity data compilation derived from 13 million data points covering an area of 10 million km**2, which corresponds to 73% coverage of the continent. The remove-compute-restore technique was applied for gridding, which facilitated leveling of the different gravity data sets with respect to an Earth gravity model derived from satellite data alone. The resulting free-air and Bouguer gravity anomaly grids of 10 km resolution are publicly available. These grids will enable new high-resolution combined Earth gravity models to be derived and represent a major step forward toward solving the geodetic polar data gap problem. They provide a new tool to investigate continental-scale lithospheric structure and geological evolution of Antarctica. Products available also in different formats: Antarctic free-air and complete Bouguer gravity anomaly grid in formated ASCII format (9 MB, zipped): https://hs.pangaea.de/Maps/antgg2015/antgg2015.zip and in text file format: https://doi.pangaea.de/10.1594/PANGAEA.848168?format=textfile", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.org/10.1594/PANGAEA.848168", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.1002/2015GL067439", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Gravity anomalies from GOCE and airborne data", "osc:themes": [ "Cryosphere", "Solid Earth" ], "osc:missions": [ "GOCE", "GRACE" ], "osc:project": 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Contact: cfinlay@space.dtu.dk", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.spacecenter.dk/files/magnetic-models/GVO/GVO_data_CHAMP.zip", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Ground Virtual Observatory Data CHAMP", "osc:themes": [ "Solid Earth", "Magnetosphere_Ionosphere" ], "osc:missions": [ "CHAMP" ], "osc:project": "4d-earth-swarm", "osc:variables": [ "Magnetic Fields/Magnetic Currents", "Geomagnetic Indices" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "ground_virtual_observatory_charm" } ], "created": "2021-09-10T00:00:00Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Ionosphere/Magnetosphere Dynamics", "Magnetic Fields/Magnetic Currents", "Sun-Earth Interactions", "Geomagnetic Indices" ] }ground-virtual-observatory-cryosat2-4d-earth-swarm/000077500000000000000000000000001517436701200425545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037051517436701200456070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/ground-virtual-observatory-cryosat2-4d-earth-swarm{ "type": "Collection", "id": "ground-virtual-observatory-cryosat2-4d-earth-swarm", "stac_version": "1.0.0", "description": "The files provided for each satellite include 1 month and 4 month values for observed field, core field (with estimates of magnetospheric and ionospheric fields removed) and SV (from annual difference of the core field data). 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The product consists of a NETCDF file containing data in SMOS L3 format. The spatial coverage is provided as an index map in SMOS L3 coordinates. Both ice thickness estimate as well as ice thickness estimate merged onto the surrounding BEDMAP2 ice thickness data, are proved as maps. For user convenience the latitude and longitude coordinate values are also provided. The filename is “SMOS_IceThickness_YYYY_vvv.nc”, where YYYY is the year and vvv is the version number. File size is approximately 7 Mbyte. Only year 2015 version 300 is currently provided. Product details are available at: http://www.ifac.cnr.it/cryosmos/products/CryoSMOS_D8_EDUM_V2.0.pdf. The data are freely disseminated, however the use of this data set must be cited as: Macelloni G., M. Brogioni, G. Picard and M. Leduc-Leballeur. 2019. SMOS Internal ice-sheet temperature, Version 2. [Indicate subset used]. “Cryosmos. STSE SMOS+Cryosphere”. ESA contract No.4000112262/14/I-NB.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.ifac.cnr.it/cryosmos/products/SM_TEST_MIR_ITUDP4_20130101T000000_20141231T000000_200_001_0.nc", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.1016/j.rse.2019.111405" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Internal ice-sheet temperature_Antarctica_SMOS", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "SMOS" ], "osc:project": "cryosmos", "osc:variables": [ "Ice Temperature" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "ice_sheet_temperature" } ], "osc:region": "Antarctica", "created": "2020-03-19T00:00:00Z", "start_datetime": "2013-01-01T00:00:00Z", "end_datetime": "2014-12-31T23:59:59Z", "sci:doi": "10.1016/j.rse.2019.111405", "extent": { "spatial": { "bbox": [ [ -180.0, -83.0, 180.0, -60.0 ] ] }, "temporal": { "interval": [ [ "2013-01-01T00:00:00Z", "2014-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Temperature" ] }ice-sheet-topography-elevation-change-cryotop-evolution/000077500000000000000000000000001517436701200437025ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000045001517436701200467270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/ice-sheet-topography-elevation-change-cryotop-evolution{ "type": "Collection", "id": "ice-sheet-topography-elevation-change-cryotop-evolution", "stac_version": "1.0.0", "description": "These files are gridded topography, rates of surface elevation change, and errors as 500m and 1km posting determined from surface elevation measured by swath processing of data acquired by the interferometric radar altimeter CryoSat-2. The gridded products cover the Greenland Ice Sheet between 2011 and 2016.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=0c3a6698-1078-4465-a2c0-ca17ca0a0c39", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.5285/0c3a6698-1078-4465-a2c0-ca17ca0a0c39" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Ice Sheet_gridded topography_rates of surface elevation change_Greenland_Cryosat-2", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "cryosat-cryotop-evolution", "osc:variables": [ "Glacier Topography/Ice Sheet Topography" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "ice_sheet_topography_elevation_change" } ], "osc:region": "Greenland", "created": "2018-04-24T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2016-12-31T23:59:59Z", "sci:doi": "10.5285/0c3a6698-1078-4465-a2c0-ca17ca0a0c39", "extent": { "spatial": { "bbox": [ [ -73.709433726, 60.2878324851, -12.713339976, 83.5902211563 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2016-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glacier Topography/Ice Sheet Topography", "Sea Ice" ] }ice-shelf-antarctica-cryosmos/000077500000000000000000000000001517436701200365365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000046671517436701200416010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/ice-shelf-antarctica-cryosmos{ "type": "Collection", "id": "ice-shelf-antarctica-cryosmos", "stac_version": "1.0.0", "description": "The ice shelf product consists of two types of NETCDF-4 files, one containing yearly mean quantities and one containing differential quantities as well as static surface type masks. Names of the first file type are “SMOS_TB_for_Origin_yyyy_vvv.nc”, where “yyyy” is the respective year and “vvv” the dataset version. Names of the second file type are “SMOS_Origin_yyyy_yyyy_vvv.nc” where the first “yyyy” indicates the first year, the second “yyyy” the second year and “vvv” the dataset version. All differential quantities are based on the yearly mean of the second year minus the yearly mean of first year. Product details are available at: http://www.ifac.cnr.it/cryosmos/products/CryoSMOS_D8_EDUM_V2.0.pdf.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.ifac.cnr.it/cryosmos/products/CRYOSMOS_shelf.tgz", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Ice shelf product_Antarctica_SMOS", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "SMOS" ], "osc:project": "cryosmos", "osc:variables": [ "Ice Sheets and Ice Shelves" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "ice_shelves" } ], "osc:region": "Antarctica", "created": "2020-03-19T00:00:00Z", "start_datetime": "2013-01-01T00:00:00Z", "end_datetime": "2014-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -83.0, 180.0, -60.0 ] ] }, "temporal": { "interval": [ [ "2013-01-01T00:00:00Z", "2014-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Ice Sheets and Ice Shelves", "Sea Ice" ] }in-situ-sealabio/000077500000000000000000000000001517436701200340615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037071517436701200371160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/in-situ-sealabio{ "type": "Collection", "id": "in-situ-sealabio", "stac_version": "1.0.0", "description": "Water quality data of coastal (local and regional) monitoring; ICES water quality; Water quality from campaigns; Water quality data from Ship- of-opportunity (bottle samples); Water quality data from Ship-of- opportunity, instrument data; Reflectance. Details available at: http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/SeaLaBio_Dataset_Description_V1.2.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "In-situ measurements_Baltics", "osc:themes": [ "Oceans", "Land" ], "osc:missions": [ "In-situ observations" ], "osc:project": "baltic-sea-land", "osc:variables": [ "Colored Dissolved Organic Matter" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_fraction_of_dissolved_organic_matter" } ], "osc:region": "Baltics", "created": "2019-11-07T00:00:00Z", "start_datetime": "2015-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.3738792631, 53.90254289, 32.9925362748, 66.2654700409 ] ] }, "temporal": { "interval": [ [ "2015-01-01T00:00:00Z", "2018-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Organic Matter" ] }ionospheric-delays-baltics-sar-hsu/000077500000000000000000000000001517436701200375145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000044131517436701200425440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/ionospheric-delays-baltics-sar-hsu{ "type": "Collection", "id": "ionospheric-delays-baltics-sar-hsu", "stac_version": "1.0.0", "description": "The ionospheric correction files are generated from PTA-OBS and IGS-TEC. Ionospheric delays are stored as 1-way path delay in units of meters. In order to apply them to the range observations, they need to be scaled by 2/c, with c denoting speed of light in vacuum. Multiple targets may be summarized in one file. Data blocks for different targets are placed side by side organized by dates. If a target is unavailable or detected an outlier (low SCR), the entries are set to 9. Product details available at: https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/SAR-HSU-TN-0019_Dataset_User_Manual.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/COR-ID.zip", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "COR-ID: Ionospheric Delays_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "GOCE", "Sentinel-1", "GLONASS" ], "osc:project": "sar-hsu", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "ionospheric_delays" } ], "osc:region": "Baltics", "created": "2021-07-07T00:00:00Z", "start_datetime": "2020-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }l2-smos-sss-daily-ascending-eo4sibs/000077500000000000000000000000001517436701200374155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037711517436701200424530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/l2-smos-sss-daily-ascending-eo4sibs{ "type": "Collection", "id": "l2-smos-sss-daily-ascending-eo4sibs", "stac_version": "1.0.0", "description": "Salinity retrievals from ascending satellite overpasses are averaged in daily maps at 0.25°*0.25° grid. 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Product details: https://ilgew.ipgp.fr/docs/SW-ILGEW-IPGP-D08-11-08-2021.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://ilgew.ipgp.fr/#dataset", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Lightning-generated whistler events_Global_SWARM", "osc:themes": [ "Atmosphere", "Magnetosphere_Ionosphere" ], "osc:missions": [ "SWARM" ], "osc:project": "ilgew", "osc:variables": [ "Lightning" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "lightning_whistler_events" } ], "created": "2021-08-11T00:00:00Z", "start_datetime": "2014-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 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"rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "IUP-OMPS L2 and L3 limb ozone data sets_Global_S2/3", "osc:themes": [ "Atmosphere" ], "osc:missions": [ "Sentinel-2", "Sentinel-3" ], "osc:project": "lpf-solve", "osc:variables": [ "Total Ozone" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "limb_ozone" } ], "osc:region": "Global", "created": "2013-12-30T00:00:00Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric Chemistry", "Oxygen Compounds", "Atmospheric Ozone" ] }lithosphere-density-temperature-viscosity-goce-antarctica/000077500000000000000000000000001517436701200443265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037031517436701200473570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/lithosphere-density-temperature-viscosity-goce-antarctica{ "type": "Collection", "id": "lithosphere-density-temperature-viscosity-goce-antarctica", "stac_version": "1.0.0", "description": "Model of crust and upper mantle", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019JB017997", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.1029/2019JB017997" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Density, Temperature, and Viscosity Structure of the Antarctic Lithosphere_Antarctica_GOCE", "osc:themes": [ "Solid Earth", "Cryosphere" ], "osc:missions": [ "GOCE" ], "osc:project": "goce-antarctica", "osc:variables": [ "Gravitational Field", "Crustal Motion" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "density_temperature_viscosity" } ], "osc:region": "Antarctica", "created": "2019-10-25T00:00:00Z", "start_datetime": "2009-01-01T00:00:00Z", "end_datetime": "2013-12-31T23:59:59Z", "sci:doi": "10.1029/2019JB017997", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2009-01-01T00:00:00Z", "2013-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Gravity/Gravitational Field", "Gravitational Field", "Crustal Motion" ] }lr-satellite-altimeter-open-ocean-cp4o/000077500000000000000000000000001517436701200401665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000034641517436701200432230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/lr-satellite-altimeter-open-ocean-cp4o{ "type": "Collection", "id": "lr-satellite-altimeter-open-ocean-cp4o", "stac_version": "1.0.0", "description": "Low Resolution Mode satellite altimeter product generated from Cryosat data by TU Delft", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Low Resolution Mode satellite altimeter product _Open Ocean_Cryosat", "osc:themes": [ "Oceans", "Cryosphere" ], "osc:missions": [ "CryoSat" ], "osc:project": "cryosat-oceans", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "low_resolution_satellite_altimeter_open_ocean" } ], "osc:region": "Pacific and North Atlantic", "created": "2021-02-15T00:00:00Z", "start_datetime": "2013-01-01T00:00:00Z", "end_datetime": "2013-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -179.6208515315, -0.310754625, -2.3130615194, 60.0851973468 ] ] }, "temporal": { "interval": [ [ "2013-01-01T00:00:00Z", "2013-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }mean-spectral-dac-for-320-nm-423nm-in-the-atlantic-ocean/000077500000000000000000000000001517436701200425755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000071261517436701200456310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/mean-spectral-dac-for-320-nm-423nm-in-the-atlantic-ocean{ "type": "Collection", "id": "mean-spectral-dac-for-320-nm-423nm-in-the-atlantic-ocean", "stac_version": "1.0.0", "description": "This data set contains the mean diffuse attenuation coefficient of the downwelling plane irradiance over the first optical depth and over three different wavelength regions: 312.5 - 338 nm (Kd-UVAB), 356.5 - 390 nm (Kd-UVA), and 390 - 423 nm (KD-blue) as retrieved from the Sentinel-5P TROPOMI sensor from 11 May to 9 June 2018 in the Atlantic Ocean. The retrieval for the products is based on Differential Optical Absorption Spectroscopy (DOAS) extended to the ocean domain (PhytoDOAS). The spectral integrated Kd are derived from the Vibrational Raman Scattering (VRS) signal of the ocean which is retrieved by DOAS fits in three different fit windows. Kd-UVAB corresponds to DOAS VRS fits in the wavelength regions of 349.5 - 382 nm, Kd-UVA to 405 - 450 nm, and Kd-blue to 450 - 493 nm. VRS fit factors in the blue fit window (450 - 493 nm) were offset-corrected (an offset of 0.186 was added to the VRS fit factor of all processed S5P ground pixels). Derived Kd-blue are otherwise unrealistically high. The offset was determined with the help of Kd data at 490 nm from the Ocean and Land Color Instrument (OLCI) onboard Sentinel-3A. Fit results from the DOAS retrieval are converted into physical quantities using look-up-tables which were established with coupled atmosphere-ocean radiative transfer modeling using the software SCIATRAN version 4.0.8 (Rozanov et al. 2017, https://www.iup.uni-bremen.de/sciatran/). Only TROPOMI data with a cloud fraction smaller 0.01 were processed by the algorithm. Output data within the Atlantic Ocean (55°N-55°S, 70°W-10°E) were gridded daily into 0.083° latitudinal/longitudinal bins. Details on the algorithm can be found in the related publication by Oelker et al. (2022).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.940352?format=html#download", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.1594/PANGAEA.940352", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Mean spectral DAC avg for 320-338.5nm (UVAB) 356.5 - 390 nm (UVA) & 390 - 423 nm in the Atlantic Ocean from S5P (TROPOMI)", "osc:themes": [ "Oceans", "Atmosphere" ], "osc:missions": [ "Sentinel-5p" ], "osc:project": "s5p-inno-s5p-i-oc", "osc:variables": [ "Diffuse Attenuation Coefficient (DAC)" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "mean_spectral_diffuse_attenuation_coefficient" } ], "osc:region": "Atlantic Ocean", "created": "2022-03-17T00:00:00Z", "start_datetime": "2018-05-11T00:00:00Z", "end_datetime": "2018-06-09T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -55.0, -70.0, 55.0, 10.0 ] ] }, "temporal": { "interval": [ [ "2018-05-11T00:00:00Z", "2018-06-09T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Attenuation/Transmission", "Diffuse Attenuation Coefficient (DAC)" ] }mean-spectral-dac-from-318-to952nm-of-underwater-light-profiles-rv-polarstern-cruise-ps113/000077500000000000000000000000001517436701200513405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products09ca2b496d0da93152461a3d7dd495a61f237feb.paxheader00006660000000000000000000000311151743670120020507xustar00rootroot00000000000000201 path=stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/mean-spectral-dac-from-318-to952nm-of-underwater-light-profiles-rv-polarstern-cruise-ps113/collection.json 09ca2b496d0da93152461a3d7dd495a61f237feb.data000066400000000000000000000064601517436701200173600ustar00rootroot00000000000000{ "type": "Collection", "id": "mean-spectral-dac-from-318-to952nm-of-underwater-light-profiles-rv-polarstern-cruise-ps113", "stac_version": "1.0.0", "description": "The spectrally resolved diffuse attenuation coefficient over the first optical depth was derived from radiometric profiles collected at discrete stations during RV Polarstern cruise PS113 at 17 discrete stations distributed along a transect between the Malvinas upwelling region and the English channel in the Atlantic Ocean. An irradiance sensor (RAMSES ACC-2-VIS, TriOS GmbH, Germany) covering the wavelength region from 320 nm to 950 nm with a spectral sampling of 3.3 nm, resolution of 10 nm, and accuracy of 0.3 nm was used which is additionally equipped with an inclination and pressure sensor. The sensor was mounted to a steel frame for vertical profiling of the underwater downwelling irradiance at a distance of 5 m to the ship. The general measurement procedure followed Taylor et al. (2011). A second RAMSES ACC-2-VIS sensor mounted on top of the ship recorded the incident downwelling irradiance above the surface, to correct for incident sunlight variations. Mean Kd at each sampled wavelength was calculated from downwelling irradiance measurements at the different depths in the profile over the first optical depth (mostly between 7 to 22 m, the information is provided as minimum and maximum depth). Details on measurement procedure and its uncertainty can be found in Tilstone et al. (2020) and on the specific determination of Kd during PS113 can be found in Bracher et al. (2020).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.931480?format=html#download", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.1594/PANGAEA.931480", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Mean spectral DAC from 318-952nm of light profiles measured at discrete stations (RV Polarstern cruise PS113) ", "osc:themes": [ "Oceans", "Atmosphere" ], "osc:missions": [ "Sentinel-5p" ], "osc:project": "s5p-inno-s5p-i-oc", "osc:variables": [ "Diffuse Attenuation Coefficient (DAC)" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "mean_spectral_diffuse_attenuation_coefficient" } ], "osc:region": "South Atlantic Ocean", "created": "2022-03-17T00:00:00Z", "start_datetime": "2018-05-10T00:00:00Z", "end_datetime": "2018-06-05T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -60.533041, -47.66, -13.12, 35.96 ] ] }, "temporal": { "interval": [ [ "2018-05-10T00:00:00Z", "2018-06-05T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Attenuation/Transmission", "Diffuse Attenuation Coefficient (DAC)" ] }mean-spectral-dac-from-320-to917nm-from-radiometric-underwater-light-transmission-profiles/000077500000000000000000000000001517436701200517475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products1a92d8139401aa6dd1cf73f6b2604fb5f33ac821.paxheader00006660000000000000000000000311151743670120020474xustar00rootroot00000000000000201 path=stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/mean-spectral-dac-from-320-to917nm-from-radiometric-underwater-light-transmission-profiles/collection.json 1a92d8139401aa6dd1cf73f6b2604fb5f33ac821.data000066400000000000000000000072751517436701200173520ustar00rootroot00000000000000{ "type": "Collection", "id": "mean-spectral-dac-from-320-to917nm-from-radiometric-underwater-light-transmission-profiles", "stac_version": "1.0.0", "description": "Radiometric data was collected on Polarstern expedition PS113, crossing the Atlantic from the Patagonian Shelf to the English Channel with an irradiance sensors (RAMSES ACC-2-VIS, TriOS GmbH, Germany) covering the wavelength region from 320 nm to 917 nm with a spectral sampling of 3.3. nm, resolution of 10 nm, and accuracy of 0.3 nm. The sensor was mounted on an undulating platform (Triaxus, extended version, MacArtney, Denmark) towed behind the research vessel at a speed of 8 knots for several transects along the cruise track and measured the underwater downwelling irradiance Ed(z, λ). Vertical movement of the Triaxus was 1 m/s. The depth was determined with a Seabird CTD mounted to the Triaxus and the inclination in all directions was recorded by the Triaxus hardware (details in von Appen et al. 2020). Measurements were taken with automatically adjusted integration times between 4 ms and 8 s. Data of a light profile was only processed if the euphotic depth was reached and values of the downwelling irradiance at 15 m depth and a wavelength of 400 nm were greater than 150 mW m−2 nm−1. Radiometric data from 6 transects (on 19, 21, 22, 24, 25, and 27 May 2018) between 2 and 48 hours duration were identified useful for determining Kd(λ). Generally, profile measurements were only valid if the instrument's inclination in either dimension was < 14°. Another RAMSES ACC-2-VIS sensor mounted on top of the ship recorded the incident downwelling irradiance above the surface Ed(λ, 0 + ), to correct for incident sunlight variations. Mean Kd was calculated from Ed(z, λ) profiles mostly over the depth interval 7 to 30 m, some 7 to 60 m. Details on measurement procedure and determination of Kd can be found in Bracher et al. (2020a, 2020b).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.939927?format=html#download", "title": "Access" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.939927", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Mean spectral DAC from 320-917nm from light transmission profiles by an undulating platform towed behind the ship", "osc:themes": [ "Oceans", "Atmosphere" ], "osc:missions": [ "Sentinel-5p" ], "osc:project": "s5p-inno-s5p-i-oc", "osc:variables": [ "Diffuse Attenuation Coefficient (DAC)" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "mean_spectral_diffuse_attenuation_coefficient" } ], "osc:region": "South Atlantic Ocean", "created": "2022-03-17T00:00:00Z", "start_datetime": "2018-05-19T00:00:00Z", "end_datetime": "2018-05-27T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -33.533041, -19.455381, -23.372737, 8.82378 ] ] }, "temporal": { "interval": [ [ "2018-05-19T00:00:00Z", "2018-05-27T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Attenuation/Transmission", "Diffuse Attenuation Coefficient (DAC)" ] }model-based-cdom-baltic-sealabio/000077500000000000000000000000001517436701200370215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000042541517436701200420540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/model-based-cdom-baltic-sealabio{ "type": "Collection", "id": "model-based-cdom-baltic-sealabio", "stac_version": "1.0.0", "description": "Concentrations (expressed with absorption values) of Colored Dissolved Organic Matter (CDOM) simulated with the Ecological Regional Ocean Model (ERGOM). In this simulation river discharge and CDOM values estimated with Sentinel-2 data from 69 river mouth areas were used as input data. The results are visualized in TARKKA (https://wwwi4.ymparisto.fi/i4/eng/tarkka/index.html?type=ERGOM_CDOM&lang=en). The corresponding GeoTiff files are available in WAF (http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/ERGOM_results/P95/).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://eo.ymparisto.fi/data/water/Baltic_SeaLaBio/ERGOM_results/P95/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Model based Colored Dissolved Organic Matter (CDOM) _Baltics_Model", "osc:themes": [ "Oceans", "Land" ], "osc:missions": [ "Numerical models" ], "osc:project": "baltic-sea-land", "osc:variables": [ "Colored Dissolved Organic Matter" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "chromophoric_dissolved_organic_matter" } ], "osc:region": "Baltics", "created": "2020-03-19T00:00:00Z", "start_datetime": "2016-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.3738792631, 53.90254289, 32.9925362748, 66.2654700409 ] ] }, "temporal": { "interval": [ [ "2016-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Organic Matter" ] }model-ionosphere-4dionosphere/000077500000000000000000000000001517436701200365665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037471517436701200416270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/model-ionosphere-4dionosphere{ "type": "Collection", "id": "model-ionosphere-4dionosphere", "stac_version": "1.0.0", "description": "Semi-empiric model and improvement of the forecasting capabilities for extreme space weather events. Swarm-VIP project performs extensive and complex statistical analysis on Swarm electron density, electric and magnetic field data focusing on: 1) the ionospheric climate/weather during quiet geomagnetic conditions; 2) the extreme events such as geomagnetic storms / superstorms and 3) the physics of ionospheric perturbations and small-scale variability. Currently the access to the results is restricted. If you would like to gain access, please contact Lasse Clausen (http://www.mn.uio.no/fysikk/english/people/aca/lbnc/) or Wojciech Miloch (http://www.mn.uio.no/fysikk/english/people/aca/wojciecm/index.html).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Semi-empiric model of ionosphere processes_SWARM", "osc:themes": [ "Magnetosphere_Ionosphere" ], "osc:missions": [ "SWARM" ], "osc:project": "swarm-vip", "osc:variables": [ "Ionosphere/Magnetosphere Dynamics" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "model_ionosphere" } ], "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Sun-Earth Interactions", "Ionosphere/Magnetosphere Dynamics" ] }monthly-global-chlorophyll-a-dataset-9-km-oc-cci-v42/000077500000000000000000000000001517436701200423615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000101071517436701200454060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/monthly-global-chlorophyll-a-dataset-9-km-oc-cci-v42{ "type": "Collection", "id": "monthly-global-chlorophyll-a-dataset-9-km-oc-cci-v42", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1997 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/PC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Chlorophyll-a dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Chlorophyll Concentration" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_chlorophyll_a_in_sea_water" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Chlorophyll", "Chlorophyll Concentration", "Ocean Chemistry", "Pigments" ] }monthly-global-export-production-based-on-henson-et-al-2011-dataset-9-km-oc-cci-v42/000077500000000000000000000000001517436701200476505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productsmonthly-global-export-production-based-on-henson-et-al-2011-dataset-9-km-oc-cci-v42/collection.json000066400000000000000000000051421517436701200527000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products{ "type": "Collection", "id": "monthly-global-export-production-based-on-henson-et-al-2011-dataset-9-km-oc-cci-v42", "stac_version": "1.0.0", "description": "This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project. 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Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.ceda.ac.uk/neodc/bicep/data/oceanic_export_production/v1.0/monthly/", "title": "Access" }, { "rel": "via", "href": "https://dx.doi.org/10.5285/a6fc730d88fd4935b59d64903715d891", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Export Production based on Henson et al 2011 dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Export Production" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "export_production_henson" } ], "osc:region": "Global", "created": "2021-12-21T00:00:00Z", "start_datetime": "1998-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1998-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics" ] }monthly-global-export-production-based-on-li-et-al-2016-dataset-9-km-oc-cci-v42/000077500000000000000000000000001517436701200467675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productsmonthly-global-export-production-based-on-li-et-al-2016-dataset-9-km-oc-cci-v42/collection.json000066400000000000000000000051261517436701200520210ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products{ "type": "Collection", "id": "monthly-global-export-production-based-on-li-et-al-2016-dataset-9-km-oc-cci-v42", "stac_version": "1.0.0", "description": "This dataset contains monthly global data for Oceanic Export Production as part of the BICEP project. Data is provided between 1998-2019 at 9 km resolution. It has been derived from the Ocean Colour Climate Change Initiative v4.2 dataset. Export production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.ceda.ac.uk/neodc/bicep/data/oceanic_export_production/v1.0/monthly/", "title": "Access" }, { "rel": "via", "href": "https://dx.doi.org/10.5285/a6fc730d88fd4935b59d64903715d891", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Export Production based on Li et al 2016 dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Export Production" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "export_production_li" } ], "osc:region": "Global", "created": "2021-12-21T00:00:00Z", "start_datetime": "1998-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1998-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics" ] }monthly-global-microphytoplankton-carbon-dataset-9-km-oc-cci-v42/000077500000000000000000000000001517436701200450125ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000101731517436701200500420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/monthly-global-microphytoplankton-carbon-dataset-9-km-oc-cci-v42{ "type": "Collection", "id": "monthly-global-microphytoplankton-carbon-dataset-9-km-oc-cci-v42", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/PC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Microphytoplankton Carbon dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Microphytoplankton Carbon" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_microphytoplankton_expressed_as_carbon_in_sea_water" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Phytoplankton", "Microphytoplankton Carbon" ] }monthly-global-microphytoplankton-carbon-dataset-9-km-oc-cci-v5/000077500000000000000000000000001517436701200447315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000104161517436701200477610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/monthly-global-microphytoplankton-carbon-dataset-9-km-oc-cci-v5{ "type": "Collection", "id": "monthly-global-microphytoplankton-carbon-dataset-9-km-oc-cci-v5", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. 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A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/PC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Mixed Layer Depth dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Ocean Mixed Layer" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mixed_layer_depth" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Circulation", "Ocean Mixed Layer", "Ocean Temperature" ] }monthly-global-mixed-layer-depth-dataset-9-km-oc-cci-v5/000077500000000000000000000000001517436701200430455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000102271517436701200460750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/monthly-global-mixed-layer-depth-dataset-9-km-oc-cci-v5{ "type": "Collection", "id": "monthly-global-mixed-layer-depth-dataset-9-km-oc-cci-v5", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. 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A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/PC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Nanophytoplankton Carbon dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Nanophytoplankton Carbon" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_nanophytoplankton_expressed_as_carbon_in_sea_water" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Phytoplankton", "Nanophytoplankton Carbon" ] }monthly-global-nanophytoplankton-carbon-dataset-9-km-oc-cci-v5/000077500000000000000000000000001517436701200445535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000104111517436701200475760ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/monthly-global-nanophytoplankton-carbon-dataset-9-km-oc-cci-v5{ "type": "Collection", "id": "monthly-global-nanophytoplankton-carbon-dataset-9-km-oc-cci-v5", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. 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A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/PC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Picophytoplankton Carbon dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Picophytoplankton Carbon" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_picophytoplankton_expressed_as_carbon_in_sea_water" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Picophytoplankton Carbon" ] }monthly-global-picophytoplankton-carbon-dataset-9-km-oc-cci-v5/000077500000000000000000000000001517436701200445525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000103641517436701200476040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/monthly-global-picophytoplankton-carbon-dataset-9-km-oc-cci-v5{ "type": "Collection", "id": "monthly-global-picophytoplankton-carbon-dataset-9-km-oc-cci-v5", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v5.0 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.ceda.ac.uk/neodc/bicep/data/phytoplankton_carbon/v5.0/monthly/", "title": "Access" }, { "rel": "via", "href": "https://dx.doi.org/10.5285/6a6ccbb8ef2645308a60dc47e9b8b5fb", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Picophytoplankton Carbon dataset (9 km, OC-CCI v5)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Picophytoplankton Carbon" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_picophytoplankton_expressed_as_carbon_in_sea_water" } ], "osc:region": "Global", "created": "2021-12-21T00:00:00Z", "start_datetime": "1998-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1998-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Picophytoplankton Carbon" ] }monthly-global-total-phytoplankton-carbon-dataset-9-km-oc-cci-v42/000077500000000000000000000000001517436701200451015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000101121517436701200501220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/monthly-global-total-phytoplankton-carbon-dataset-9-km-oc-cci-v42{ "type": "Collection", "id": "monthly-global-total-phytoplankton-carbon-dataset-9-km-oc-cci-v42", "stac_version": "1.0.0", "description": "This dataset contains monthly global carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1997 to 2020 at 9 km spatial resolution. A spectrally-resolved photoacclimation model was unified with a primary production model that simulated photosynthesis as a function of irradiance using a two-parameter photosynthesis versus irradiance (P-I) function to estimate the carbon content of marine phytoplankton based on ocean-colour remote sensing products (Sathyendranath et al. 2020 and references therein for details). The photoacclimation model contains a maximum chlorophyll-to-carbon ratio for three different phytoplankton size classes (pico-, nano- and microphytoplankton) that was inferred from field data, as in Sathyendranath et al. (2020). Chlorophyll-a products were obtained from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI v4.2 dataset). Photosynthetic Active Radiation (PAR) products were obtained from the National Aeronautics and Space Administration (NASA) and were corrected for inter-sensor bias in products. Mixed Layer Depth (MLD) was obtained from the French Research Institute for Exploration of the Sea (Ifremer). In situ datasets P-I parameters were incorporated as described in Kulk et al. (2020). The phytoplankton carbon products were generated as part of the ESA Biological Pump and Carbon Exchange Processes (BICEP) project. Support from the Simons Foundation grant ‘Computational Biogeochemical Modeling of Marine Ecosystems’ (CBIOMES, number 549947) and from the National Centre of Earth Observation (NCEO) is acknowledged. Data are provided as netCDF files containing carbon products for pico-, nano- and microphytoplankton (C_picophyto, C_nanophyto and C_microphyto, respectively, in mg C m-3) and the total phytoplankton community (C_phyto in mg C m-3) for the period of 1998 to 2020 at 9 km spatial resolution. Additional variables that were used for the calculation of the phytoplankton carbon products are also provided, including chlorophyll-a (chl_a in mg m-3), photosynthetically activate radiation (par, in µmol photons m-2 d-1), mixed layer depth (mld in m) and the mean spectral nondimensional irradiance (mean_spectral_i_star)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/PC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Total Phytoplankton Carbon dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Phytoplankton" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_phytoplankton_expressed_as_carbon_in_sea_water" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Phytoplankton" ] }nrt-sice-rasters-greenland-arctic-sice/000077500000000000000000000000001517436701200402425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000036511517436701200432750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/nrt-sice-rasters-greenland-arctic-sice{ "type": "Collection", "id": "nrt-sice-rasters-greenland-arctic-sice", "stac_version": "1.0.0", "description": "1 km Greenland, daily, with cloud mask, geotiff at https://github.com/AdrienWehrle/SICE/tree/master/masks", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://dataverse01.geus.dk/dataset.xhtml?persistentId=doi:10.22008/FK2/SD56CB", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.22008/FK2/SD56CB" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "NRT SICE rasters for Greenland_Arctic_S3", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-3" ], "osc:project": "s3-snow-and-ice-products", "osc:variables": [ "Snow Cover" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "nrt_sice_rasters" } ], "osc:region": "Arctic", "created": "2021-01-01T00:00:00Z", "start_datetime": "2020-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "sci:doi": "10.22008/FK2/SD56CB", "extent": { "spatial": { "bbox": [ [ -178.4105321808, 60.6134006095, 178.3660428163, 84.2454100786 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Snow/Ice", "Snow Cover", "Cryospheric Indicators" ] }ocean-freshwater-flux-arctic-theme3/000077500000000000000000000000001517436701200375535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000042641517436701200426070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/ocean-freshwater-flux-arctic-theme3{ "type": "Collection", "id": "ocean-freshwater-flux-arctic-theme3", "stac_version": "1.0.0", "description": "Estimates of these four freshwater fluxes: discharge from rivers; inflow through ice and melt run off; outflow of freshwater in sea ice; and in/outflow of freshwater through ocean currents.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://link.springer.com/chapter/10.1007%2F1345_2019_75", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.1007/1345_2019_75" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Ocean freshwater fluxes_Arctic_Multimission", "osc:themes": [ "Oceans", "Land" ], "osc:missions": [ "Sentinel-1", "Sentinel-2", "Sentinel-3", "CryoSat-2", "ICESat", "GRACE", "SMOS", "ENVISAT", "ERS-1", "ERS-2", "SARAL", "Jason-1", "Jason-2" ], "osc:project": "arcflux", "osc:variables": [ "Fresh Water River Discharge" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "ocean_freshwater_flux" } ], "osc:region": "Arctic", "created": "2019-07-17T00:00:00Z", "start_datetime": "2014-01-01T00:00:00Z", "end_datetime": "2017-12-31T23:59:59Z", "sci:doi": "10.1007/1345_2019_75", "extent": { "spatial": { "bbox": [ [ -178.4105321808, 60.6134006095, 178.3660428163, 84.2454100786 ] ] }, "temporal": { "interval": [ [ "2014-01-01T00:00:00Z", "2017-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric/Ocean Indicators", "Fresh Water River Discharge" ] }ocean-heat-content-baltic-seal/000077500000000000000000000000001517436701200365465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000033221517436701200415740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/ocean-heat-content-baltic-seal{ "type": "Collection", "id": "ocean-heat-content-baltic-seal", "stac_version": "1.0.0", "description": "https://www.aviso.altimetry.fr/fileadmin/documents/data/tools/MOHeaCAN-DT-006-MAG_PUM.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/ocean-indicators-products/ocean-heat-content-and-earth-energy-imbalance.html", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Global Ocean Heat Content (GOHC)_GRACE/GRACE-FO", "osc:themes": [ "Oceans" ], "osc:missions": [ "GRACE", "GRACE-FO" ], "osc:project": "baltic-seal-sea-level", "osc:variables": [ "Ocean Heat Budget" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "ocean_heat_content" } ], "osc:region": "Global", "created": "2021-10-04T00:00:00Z", "start_datetime": "2002-01-01T00:00:00Z", "end_datetime": "2016-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2002-01-01T00:00:00Z", "2016-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean", "Ocean Heat Budget" ] }oceanic-current-fronts-world-ocean-circulation/000077500000000000000000000000001517436701200420305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000035721517436701200450650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/oceanic-current-fronts-world-ocean-circulation{ "type": "Collection", "id": "oceanic-current-fronts-world-ocean-circulation", "stac_version": "1.0.0", "description": "Fronts derived from remote sensing SST observations by SEVIRI L3C from OSISAF and microwave OI L4 SST from REMSS, over Agulhas region, (Western only for SEVIRI) North Atlantic.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.worldoceancirculation.org/Products", "title": "Access" }, { "rel": "via", "href": "https://drive.google.com/file/d/1GIxRA1xJ5I-ch7aXSqh9I_y-YGBe3xfM/view?usp=sharing", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Oceanic/current fronts_Gibraltar", "osc:themes": [ "Oceans" ], "osc:missions": [], "osc:project": "woc", "osc:variables": [ "Fronts" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "oceanic_current_fronts" } ], "osc:region": "Gibraltar", "created": "2021-11-30T00:00:00Z", "start_datetime": "2010-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -5.4006553, 36.05875496, -5.27666114, 36.15503755 ] ] }, "temporal": { "interval": [ [ "2010-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Circulation", "Ocean Currents", "Fronts" ] }oceanic-total-alkalinity-and-dissolved-inorganic-carbon-oceansoda/000077500000000000000000000000001517436701200454725ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000136651517436701200505330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/oceanic-total-alkalinity-and-dissolved-inorganic-carbon-oceansoda{ "type": "Collection", "id": "oceanic-total-alkalinity-and-dissolved-inorganic-carbon-oceansoda", "stac_version": "1.0.0", "description": "Published empirical algorithms for oceanic total alkalinity (TA) and dissolved inorganic carbon (DIC) are used with monthly sea surface salinity (SSS) and temperature (SST) derived from satellite (SMOS, Aquarius, SST CCI) and interpolated in situ (CORA) measurements and climatological (WOA) ancillary data to produce monthly maps of TA and DIC at one degree spatial resolution. Earth system model TA and DIC (HADGEM2-ES) are also included. Results are compared with in situ (GLODAPv2) TA and DIC and results analysed in five regions (global, Greater Caribbean, Amazon plume, Amazon plume with in situ SSS < 35 and Bay of Bengal). Results are presented in three versions, denoted by 'X' in the lists below: using all available data (X = ''); excluding data with bathymetry < 500m (X = 'Depth500'); excluding data with both bathymetry < 500m and distance from nearest coast < 300 km (X = 'Depth500Dist300'). Datasets S1 to S5 are .csv lists of matchups in each region - date and location, in situ TA and DIC measurements and estimated uncertainties, all input datasets, estimates of TA and DIC from all outputs, and the best available output estimates of TA and DIC for each matchup. Datasets S6 to S10 are .csv statistical analyses of the performance of each combination of algorithm and input data - carbonate system variable, algorithm, input datasets used, (MAD, RMSD using all available data, output score, RMSD estimated from output score, output and in situ mean and standard deviation, correlation coefficient), all items in brackets presented both unweighted and weighted, number of matchups, number of potential matchups, matchup coverage, RMSD after subtraction of linear regression, percentage reduction in RMSD due to subtraction of linear regression and weighted score divided by number of matchups). Datasets S11 to S15 are zipped netCDF files containing error analyses of all outputs in each region, including the squared error of each output at each matchup, the weight of each squared error (1/squared uncertainty), weight * squared error, number of matchups available to each output, number of matchups available to each combination of two outputs, (score of each output in a given comparison of two outputs, overall output score and RMSD estimated from output score), all items in the last brackets presented both unweighted and weighted. Datasets S16 to S20 are zipped netCDF files containing global maps of the mean and standard deviation of each of: in situ data; output data; output data - in situ data and number of matchups. Regional files show the same maps, but only including data within the region. Datasets S21 and S22 are .csv files containing the effect on estimated RMSD of excluding various combinations of algorithms and/or inputs for TA and DIC in each region. For a given variable and region, the first line shows the algorithm, input data sources, estimated RMSD and bias of the output with lowest estimated RMSD. Subsequent lines show the effect of excluding combinations of algorithms and/or inputs, ordered first by the number of algorithms/inputs excluded (fewest first), then by effect on lowest estimated RMSD. So the first line(s) consist of the effects of excluding the best algorithm and each of the input sources to that algorithm, most important first. Each line consists of the item excluded, ratio of resulting estimated RMSD to original estimated RMSD, resulting bias and number of items excluded. Some exclusions are equivalent, for instance exclusion of WOA nitrate (the only nitrate source) is equivalent to excluding all algorithms using nitrate. Dataset S21 contains a comprehensive list of all possible exclusions, and so is rather hard to read and interpret. To mitigate this, Dataset S22 contains only those exclusion sets with effect greater than 1% and at least 0.1% greater than any subset of its exclusions. Dataset S23 is a .csv file containing like-for-like comparisons of RMSD between TA and DIC in each region. Bear in mind that the RMSD shown here is not the same as the estimated RMSD (RMSDe) shown elsewhere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.898115?format=html#download", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.1594/PANGAEA.898115", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Results and analysis of oceanic total alkalinity and dissolved inorganic carbon estimated from space borne, interpolated in situ, climatological and Earth system model data.", "osc:themes": [ "Oceans" ], "osc:missions": [ "SMOS", "Sentinel-3" ], "osc:project": "oceansoda", "osc:variables": [ "Dissolved Organic Carbon", "Alkalinity" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "oceanic_total_alkalinity_and_dissolved_inorganic_carbon" } ], "osc:region": "Global", "created": "2021-09-15T00:00:00Z", "start_datetime": "1985-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1985-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Alkalinity", "Organic Carbon", "Dissolved Organic Carbon" ] }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/oceansoda-ethz/000077500000000000000000000000001517436701200336775ustar00rootroot00000000000000collection.json000066400000000000000000000071201517436701200366460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/oceansoda-ethz{ "type": "Collection", "id": "oceansoda-ethz", "stac_version": "1.0.0", "description": "This dataset contains a global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2021). Full marine carbonate system, calculated from machine learning estimates of total alkalinity (TA) and the partial pressure of carbon dioxide (pCO2). The surface-ocean pCO2 presented here is the ensemble mean of 16 two-step clustering-regression machine learning estimates. The ensemble is a combination of eight clustering instances and two regression methods. For the clustering, we use K-means clustering (21 clusters) repeated with different initiations, resulting in slightly different clusters. Two machine learning regression methods are applied to each of these clustering instances. These machine learning methods are feed-forward neural-network (FFNN), and gradient boosted machine using decision trees (GBDT). The average of the ensemble members is used as the final estimate. Further, the standard deviation of the ensemble members is an analog of the uncertainty. The same two-step clustering-regression approach is used to estimate TA. The final estimate is the mean of 16 ensemble members. Each ensemble member has 12 clusters. Support vector regression (SVR) is used as the regression method. Again, the standard deviation of the ensemble members is an analog of the uncertainty. Total alkalinity and pCO2 are then used to solve for the remaining parameters of the marine carbonate system using the PyCO2SYS software. The temperature and salinity products used in this calculation are provided in the file. Phosphate and silicate from the interpolated World Ocean Atlas (2018) product were used. The total scale for pH was used. The product extends from the start of 1985 to the end of 2020.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.org/10.25921/m5wx-ja34", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.5194/essd-13-777-2021", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "OceanSODA-ETHZ: A global gridded dataset of the surface ocean carbonate system for seasonal to decadal studies of ocean acidification (v2021)", "osc:themes": [ "Oceans" ], "osc:missions": [ "SMOS", "Sentinel-3" ], "osc:project": "oceansoda", "osc:variables": [ "Alkalinity", "Carbon Dioxide", "Carbonate" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "total_alkalinity_in_sea_water" } ], "osc:region": "Global", "created": "2021-09-15T00:00:00Z", "start_datetime": "1985-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1985-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Carbonate", "Alkalinity", "Water Quality/Water Chemistry", "Water Characteristics", "Carbon Dioxide" ] }particulate-backscatter-aeolus-innovation-color/000077500000000000000000000000001517436701200423015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000027651517436701200453410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/particulate-backscatter-aeolus-innovation-color{ "type": "Collection", "id": "particulate-backscatter-aeolus-innovation-color", "stac_version": "1.0.0", "description": "Sub-surface (in-water) hemispheric particulate backscatter coefficient [m-1]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "ftp://aeolus@51.68.87.22", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Particulate backscatter: bbp_Global_AEOLUS", "osc:themes": [ "Oceans" ], "osc:missions": [ "AEOLUS" ], "osc:project": "aeolus-inno-color", "osc:variables": [ "Particulate Backscattering Coefficient" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "particulate_backscatter_bbp" } ], "osc:region": "Global", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Particulate Backscattering Coefficient" ] }particulate-inorganic-carbon-bicep/000077500000000000000000000000001517436701200375225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000057711517436701200425620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/particulate-inorganic-carbon-bicep{ "type": "Collection", "id": "particulate-inorganic-carbon-bicep", "stac_version": "1.0.0", "description": "Particulate Inorganic Carbon (PIC) data were generated using a random forest approach that incorporates the following key input variables: Remote sensing reflectances (Rrs) at 560 nm and 665 nm, chlorophyll-a concentration, colour index, and maximum water class values. The Rrs(560), Rrs(665), and chlorophyll-a concentration data were obtained directly from the Ocean Colour Climate Change Initiative (OC-CCI). The colour index values were estimated following the algorithm of Mitchell et al. (2017): Rrs(560)-Rrs(665). The maximum water class values were estimated using fourteen optical water classes obtained from the OC-CCI. The PIC data are provided as netCDF files containing global, monthly PIC concentrations (in mol m^-3) for the period of 1997 to 2021 at 9 km spatial resolution. For more details on the algorithm and its validation, please see the BICEP Algorithm Theoretical Baseline Document. The Particulate Inorganic Carbon data were produced by the Plymouth Marine Laboratory and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). The research underpinning the work was supported by the European Space Agency (ESA) Biological Pump and Carbon Export Processes (BICEP) project and the product generation was supported by the National Centre for Earth Observation (NCEO).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rsg.pml.ac.uk/shared_files/gku/ESA_animation/PIC_1-month_9km/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Monthly Global Particulate Inorganic Carbon dataset (9 km, OC-CCI v4.2)", "osc:themes": [ "Oceans" ], "osc:missions": [ "ENVISAT", "Terra", "AQUA (EOS/PM-1)", "Suomi NPP", "OrbView-2", "Sentinel-3" ], "osc:project": "bicep", "osc:variables": [ "Particulate Inorganic Carbon" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "particulate_inorganic_carbon" } ], "osc:region": "Global", "created": "2023-03-29T00:00:00Z", "start_datetime": "1997-09-01T00:00:00Z", "end_datetime": "2020-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1997-09-01T00:00:00Z", "2020-11-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Chemistry", "Inorganic Carbon", "Particulate Inorganic Carbon" ] }254ebd6fb7fc143236d37fc3e2395ad6e503ba2d.paxheader00006660000000000000000000000325151743670120020652xustar00rootroot00000000000000213 path=stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/phytoplankton-group-chl-ll-using-the-mean-dac-over-the-first-optical-depth-kdmean-of-the-measured-radiometric-profile/ 254ebd6fb7fc143236d37fc3e2395ad6e503ba2d.data000077500000000000000000000000001517436701200175065ustar00rootroot00000000000000d6451e7b57fd1d7e9d61054a9f7c717efee5008c.paxheader00006660000000000000000000000344151743670120020625xustar00rootroot00000000000000228 path=stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/phytoplankton-group-chl-ll-using-the-mean-dac-over-the-first-optical-depth-kdmean-of-the-measured-radiometric-profile/collection.json d6451e7b57fd1d7e9d61054a9f7c717efee5008c.data000066400000000000000000000061061517436701200174650ustar00rootroot00000000000000{ "type": "Collection", "id": "phytoplankton-group-chl-ll-using-the-mean-dac-over-the-first-optical-depth-kdmean-of-the-measured-radiometric-profile", "stac_version": "1.0.0", "description": "We analysed water samples taken during the Polarstern PS113 cruise with HPLC technique to retrieve phytoplankton pigment concentrations. We further used these data to obtain major phytoplankton groups following the diagnostic pigment analysis. We also measured at discrete light stations (called Lightstations) and from an undulating platform towed behind the ship (called TRIAXUS stations) radiometric underwater light profiles high spectrally resolved. We obtained high resolution phytoplankton group Chla data from depth resolved apparent optical properties derived from the underwater radiation data by applying an empirical orthogonal function (EOF) analysis to the spectral data set and developing subsequently regression models using the pigment based phytoplankton group Chla and the selected EOF modes. Results were obtained from using depth resolved transmission data (Transmission) and also from using the mean diffuse attenuation over the first optical depth (kdmean) of the measured radiometric profile. All the details are described in the related publication by Bracher et al. (2020).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.913520?format=html#download", "title": "Access" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.913520", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Phytoplankton group Chl-a using mean DAC over kdmean of the radiometric profile (Polarstern cruise PS113)", "osc:themes": [ "Oceans", "Atmosphere" ], "osc:missions": [ "Sentinel-5p" ], "osc:project": "s5p-inno-s5p-i-oc", "osc:variables": [ "Chlorophyll Concentration" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "mass_concentration_of_diazotrophic_phytoplankton_expressed_as_chlorophyll_in_sea_water" } ], "osc:region": "South Atlantic Ocean", "created": "2020-04-21T00:00:00Z", "start_datetime": "2018-05-10T00:00:00Z", "end_datetime": "2018-06-05T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -60.72, -47.66, -13.12, 35.96 ] ] }, "temporal": { "interval": [ [ "2018-05-10T00:00:00Z", "2018-06-05T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Optics", "Chlorophyll", "Chlorophyll Concentration", "Ocean Chemistry", "Pigments" ] }phytoplankton-pigment-concentration-and-phytoplankton-groups-polarstern-cruise-ps113/000077500000000000000000000000001517436701200514445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productsphytoplankton-pigment-concentration-and-phytoplankton-groups-polarstern-cruise-ps113/collection.json000066400000000000000000000057611517436701200545030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products{ "type": "Collection", "id": "phytoplankton-pigment-concentration-and-phytoplankton-groups-polarstern-cruise-ps113", "stac_version": "1.0.0", "description": "We analysed water samples taken during the Polarstern PS113 cruise with HPLC technique to retrieve phytoplankton pigment concentrations. We further used these data to obtain major phytoplankton groups following the diagnostic pigment analysis. We also measured at discrete light stations (called Lightstations) and from an undulating platform towed behind the ship (called TRIAXUS stations) radiometric underwater light profiles high spectrally resolved. We obtained high resolution phytoplankton group Chla data from depth resolved apparent optical properties derived from the underwater radiation data by applying an empirical orthogonal function (EOF) analysis to the spectral data set and developing subsequently regression models using the pigment based phytoplankton group Chla and the selected EOF modes. Results were obtained from using depth resolved transmission data (Transmission) and also from using the mean diffuse attenuation over the first optical depth (kdmean) of the measured radiometric profile. All the details are described in the related publication by Bracher et al. (2020).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.911061?format=html#download", "title": "Access" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.911061", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Phytoplankton pigment concentration and phytoplankton groups measured on water samples (POLARSTERN cruise PS113)", "osc:themes": [ "Oceans", "Atmosphere" ], "osc:missions": [ "Sentinel-5p" ], "osc:project": "s5p-inno-s5p-i-oc", "osc:variables": [ "Phytoplankton" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "phytoplankton_pigment_concentration_and_phytoplankton_groups" } ], "osc:region": "South Atlantic Ocean", "created": "2020-04-21T00:00:00Z", "start_datetime": "2018-05-10T00:00:00Z", "end_datetime": "2018-06-09T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -60.71218, -47.64596, -0.13706, 50.278 ] ] }, "temporal": { "interval": [ [ "2018-05-10T00:00:00Z", "2018-06-09T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Phytoplankton" ] }phytoplankton-pigment-concentrations-polarstern-cruise-ps121/000077500000000000000000000000001517436701200446415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000053711517436701200476750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/phytoplankton-pigment-concentrations-polarstern-cruise-ps121{ "type": "Collection", "id": "phytoplankton-pigment-concentrations-polarstern-cruise-ps121", "stac_version": "1.0.0", "description": "Phytoplankton pigments were determined in the water column of a transect from the North Sea to Fram Strait during RV Polarstern expedition PS121 from 11 Aug to 10 Sep 2019. Water samples were collected from CTD Niskin bottles at five to six different depths from the upper 100 m at CTD stations and from underway sampling. This were the same water samples as in Bracher et al. (https://doi.pangaea.de/10.1594/PANGAEA.938260). Between 0.2 to 3.5 L of each seawater sample was filtered through Whatman GF/Ffilters. The sample filters were then shock‐frozen in liquid N2 and kept at−80 °C until analysis. High Pressure Liquid Chromatography (HPLC) was performed to quantify various phytoplankton pigments (see Table 1 in Taylor et al. 2011) following the method of Barlow et al. (1997) that was adjusted to our temperature‐controlled instruments as detailed in Alvarez et al. (2022).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://doi.pangaea.de/10.1594/PANGAEA.941011?format=html#download", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.1594/PANGAEA.941011", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Phytoplankton pigment concentrations during POLARSTERN cruise PS121 from North Sea to Fram in August to September 2019", "osc:themes": [ "Oceans", "Atmosphere" ], "osc:missions": [ "Sentinel-5p" ], "osc:project": "s5p-inno-s5p-i-oc", "osc:variables": [ "Phytoplankton" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "phytoplankton_pigment_concentrations" } ], "osc:region": "North Greenland Sea", "created": "2022-09-23T00:00:00Z", "start_datetime": "2018-08-11T00:00:00Z", "end_datetime": "2019-09-11T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -5.410759, 54.716473, 12.406038, 79.95809 ] ] }, "temporal": { "interval": [ [ "2018-08-11T00:00:00Z", "2019-09-11T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ecosystems", "Aquatic Ecosystems", "Plankton", "Phytoplankton" ] }radiation-budget-circas/000077500000000000000000000000001517436701200354005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000035111517436701200404260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/radiation-budget-circas{ "type": "Collection", "id": "radiation-budget-circas", "stac_version": "1.0.0", "description": "Radiation budget. The spatial resolution of the CIRCAS user products is 5km. The CIRCAS products are delivered in NetCDF-4 format. The NetCDF files specification follows the CF conventions [NetCDF, 2010].", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "ftp://ftp.brockmann-consult.de", "title": "Access" }, { "rel": "via", "href": "http://www.circas.eu/index.php#results", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Radiation budget_Regional_S3", "osc:themes": [ "Atmosphere" ], "osc:missions": [ "Sentinel-3" ], "osc:project": "circas", "osc:variables": [ "Earth Radiation Budget" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "radiation_budget" } ], "osc:region": "Regional", "created": "2021-12-31T00:00:00Z", "start_datetime": "2019-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric Radiation", "Earth Radiation Budget" ] }rainfall-gpm-sm2rain-0-25-v1-global-smos-rainfall/000077500000000000000000000000001517436701200415465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000052071517436701200446000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/rainfall-gpm-sm2rain-0-25-v1-global-smos-rainfall{ "type": "Collection", "id": "rainfall-gpm-sm2rain-0-25-v1-global-smos-rainfall", "stac_version": "1.0.0", "description": "Rainfall dataset based on the integration of IMERG Early Run of the Global Precipitation Measurement Mission (GPM) with SM2RAIN-based rainfall estimates derived from ASCAT, SMOS and SMAP L3 soil moisture Rainfall dataset based on the integration of IMERG-LR of the Global Precipitation Measurement Mission (GPM) with SM2RAIN-based rainfall estimates derived from ASCAT H113 H-SAF , SMOS L3 and SMAP L3 soil moisture products. 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Product details available at: https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/SAR-HSU-TN-0019_Dataset_User_Manual.pdf", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.asg.ed.tum.de/fileadmin/w00cip/iapg/Baltic/PTA-OBS.zip", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "PTA-OBS: SAR Raw Measurements_Baltics_Multimission", "osc:themes": [ "Oceans" ], "osc:missions": [ "GOCE", "Sentinel-1", "GLONASS" ], "osc:project": "sar-hsu", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sar_raw_measurements" } ], "osc:region": "Baltics", "created": "2021-07-07T00:00:00Z", "start_datetime": "2020-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 9.0405918788, 53.8666553578, 31.3371258934, 66.1535071282 ] ] }, "temporal": { "interval": [ [ "2020-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }satellite-altimeter-polar-ocean-cp4o/000077500000000000000000000000001517436701200377275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000036251517436701200427630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/satellite-altimeter-polar-ocean-cp4o{ "type": "Collection", "id": "satellite-altimeter-polar-ocean-cp4o", "stac_version": "1.0.0", "description": "Satellite LRM, SAR, SARIN polar altimeter product generated from Cryosat data by DTU Space", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Access" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Satellite LRM, SAR, SARIN polar altimeter product_Polar Ocean_Cryosat", "osc:themes": [ "Oceans", "Cryosphere" ], "osc:missions": [ "CryoSat" ], "osc:project": "cryosat-oceans", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "satellite_altimeter_polar_ocean" } ], "osc:region": "Arctic", "created": "2019-01-01T00:00:00Z", "start_datetime": "2010-01-01T00:00:00Z", "end_datetime": "2014-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -178.4105321808, 60.6134006095, 178.3660428163, 84.2454100786 ] ] }, "temporal": { "interval": [ [ "2010-01-01T00:00:00Z", "2014-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }satellite-data-chaos-field-model-4d-earth-swarm/000077500000000000000000000000001517436701200416205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000045131517436701200446510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/satellite-data-chaos-field-model-4d-earth-swarm{ "type": "Collection", "id": "satellite-data-chaos-field-model-4d-earth-swarm", "stac_version": "1.0.0", "description": "Updated versions of ascii files containing the selected vector and scalar satellite data (from the Swarm, CHAMP, Oersted and Cryosat-2 satellites) used in building the CHAOS-7.8 field model. Estimates of the crustal and external fields from CHAOS-7.8 are also provide for each datum, so users interested in the core field can subtract these if wished. File headers specify the exact content.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.spacecenter.dk/files/magnetic-models/CHAOS-7/CHAOS-7_8_data.zip", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.1186/s40623-020-01252-10" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Vector and scalar satellite data files as used in the CHAOS field model", "osc:themes": [ "Solid Earth", "Magnetosphere_Ionosphere" ], "osc:missions": [ "SWARM", "CryoSat-2", "CHAMP", "SAC-C", "OERSTED" ], "osc:project": "4d-earth-swarm", "osc:variables": [ "Magnetic Fields/Magnetic Currents", "Geomagnetic 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}satellite-sar-altimeter-open-ocean-cp4o/000077500000000000000000000000001517436701200403365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000036301517436701200433660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/satellite-sar-altimeter-open-ocean-cp4o{ "type": "Collection", "id": "satellite-sar-altimeter-open-ocean-cp4o", "stac_version": "1.0.0", "description": "Satellite SAR altimeter product generated from Cryosat data by CLS (CPP SAR Product)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Access" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/docs/readme_cpp_cnes.txt", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Satellite SAR altimeter product_Open Ocean_Cryosat", "osc:themes": [ "Oceans", "Cryosphere" ], "osc:missions": [ "CryoSat" ], "osc:project": "cryosat-oceans", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "satellite_sar_altimeter_open_ocean" } ], "osc:region": "Western Europe", "created": "2021-02-15T00:00:00Z", "start_datetime": "2012-01-01T00:00:00Z", "end_datetime": "2012-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -10.8098181572, 42.9418280224, 15.0300255928, 62.5493288536 ] ] }, "temporal": { "interval": [ [ "2012-01-01T00:00:00Z", "2012-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }satellite-sar-altimeter-sea-floor-cp4o/000077500000000000000000000000001517436701200402015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000034611517436701200432330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/satellite-sar-altimeter-sea-floor-cp4o{ "type": "Collection", "id": "satellite-sar-altimeter-sea-floor-cp4o", "stac_version": "1.0.0", "description": "Satellite SAR altimeter product generated from Cryosat data by DTU Space", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Access" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Satellite SAR altimeter product_Sea Floor Mapping_Oceania_Cryosat", "osc:themes": [ "Oceans", "Cryosphere" ], "osc:missions": [ "CryoSat" ], "osc:project": "cryosat-oceans", "osc:variables": [ "Bathymetry" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_floor_depth" } ], "osc:region": "Oceania", "created": "2019-01-01T00:00:00Z", "start_datetime": "2012-01-01T00:00:00Z", "end_datetime": "2013-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 94.0869566999, -48.3204367898, 179.6468967167, 10.3846296442 ] ] }, "temporal": { "interval": [ [ "2012-01-01T00:00:00Z", "2013-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Bathymetry/Seafloor Topography", "Bathymetry" ] }satellite-sarin-altimeter-coastal-cp4o/000077500000000000000000000000001517436701200402675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000035731517436701200433250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/satellite-sarin-altimeter-coastal-cp4o{ "type": "Collection", "id": "satellite-sarin-altimeter-coastal-cp4o", "stac_version": "1.0.0", "description": "Satellite SARIN altimeter product generated from Cryosat data by isardSAT", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Access" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Satellite SARIN altimeter product_Coastal Ocean_Cryosat", "osc:themes": [ "Oceans", "Cryosphere" ], "osc:missions": [ "CryoSat" ], "osc:project": "cryosat-oceans", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "satellite_sarin_altimeter_coastal" } ], "osc:region": "Caribbean", "created": "2021-12-15T00:00:00Z", "start_datetime": "2012-01-01T00:00:00Z", "end_datetime": "2014-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -88.9200529235, 8.576579727, -60.2254445602, 23.1790330316 ] ] }, "temporal": { "interval": [ [ "2012-01-01T00:00:00Z", "2014-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Surface Topography", "Sea Surface Height", "Sea Surface Height Anomaly (SSHA)" ] }sea-ice-and-snow-volume-north-sea-stse-arctic-yopp/000077500000000000000000000000001517436701200423555ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000047211517436701200454070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-and-snow-volume-north-sea-stse-arctic-yopp{ "type": "Collection", "id": "sea-ice-and-snow-volume-north-sea-stse-arctic-yopp", "stac_version": "1.0.0", "description": "Prior and posterior uncertainties of sea ice volume (SIV, columns 4-6) and snow volume (SNV, columns 7-9) respectively for three regions in km3. Column 1 indicates observation, column 2 indicates uncertainty range (\"product\" refers to uncertainty specification provided with product), column 3 indicates uncertainty range of additional hypothetical snow product (\"–\" means no snow product is used). In each of columns 4-9 the lowest uncertainty range is highlighted in bold face font. The two bottom rows give estimates for the uncertainty due to model error, i.e. the residual uncertainty with optimal control vector.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://zenodo.org/record/1308857#.YaSSUS8w3fY", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.5281/zenodo.1308857" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Sea ice volume and snow volume_Prior and posterior uncertainties_North Sea_Cryosat-2", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "stse-arctic", "osc:variables": [ "Sea Ice Volume", "Snow Cover" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_and_snow_volume" } ], "osc:region": "North Sea", "created": "2018-07-10T00:00:00Z", "start_datetime": "2015-01-01T00:00:00Z", "end_datetime": "2015-12-31T23:59:59Z", "sci:doi": "10.5281/zenodo.1308857", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2015-01-01T00:00:00Z", "2015-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Sea Ice Volume", "Snow/Ice", "Snow Cover" ] }sea-ice-clima-snow-depth-lpf-cassis/000077500000000000000000000000001517436701200374355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000042511517436701200424650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-clima-snow-depth-lpf-cassis{ "type": "Collection", "id": "sea-ice-clima-snow-depth-lpf-cassis", "stac_version": "1.0.0", "description": "CryoSat-2 sea ice freeboard and thickness from heuristic retracker TFMRA50 and AMSR climatology snow depth in the Antarctic. To access the data please mailto:florent.garnier@legos.obs-mip.fr. File name: c2esaD_SIT_fb_snow-AMSR-clim_sh_2011_2020_ease2_w25000.nc", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Access" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Sea ice freeboard and thickness_TFMRA50 and AMSR climatology snow depth_Antarctic_CryoSat-2/SARAL", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2", "SARAL" ], "osc:project": "lpf-cassis", "osc:variables": [ "Ice Depth/Thickness", "Freeboard" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_freeboard_and_thickness_snow_depth" } ], "osc:region": "Antarctica", "created": "2020-01-01T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Depth/Thickness", "Freeboard" ] }sea-ice-phys-ocean-lpf-arcticsummit/000077500000000000000000000000001517436701200375475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000045051517436701200426010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-phys-ocean-lpf-arcticsummit{ "type": "Collection", "id": "sea-ice-phys-ocean-lpf-arcticsummit", "stac_version": "1.0.0", "description": "This dataset presents monthly gridded sea ice and ocean parameters for the Arctic derived from the European Space Agency's satellite CryoSat-2. Parameters include sea ice freeboard, sea ice thickness, sea ice surface roughness, mean sea surface height, sea level anomaly, and geostrophic circulation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01257", "title": "Access" }, { "rel": "via", "href": "https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/01257", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.5285/cbd2cf78-462a-4968-be20-05f9c125ad10" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Sea ice and physical oceanography_Arctic_CryoSat-2 Baseline-C Level 1b waveform observations", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "lpf-arcticsummit", "osc:variables": [ "Ice Depth/Thickness" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_physical_oceanography" } ], "osc:region": "Arctic", "created": "2019-11-14T00:00:00Z", "start_datetime": "2021-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "sci:doi": "10.5285/cbd2cf78-462a-4968-be20-05f9c125ad10", "extent": { "spatial": { "bbox": [ [ -178.4105321808, 60.6134006095, 178.3660428163, 84.2454100786 ] ] }, "temporal": { "interval": [ [ "2021-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Depth/Thickness" ] }sea-ice-retracker-clima-snow-depth-lpf-cassis/000077500000000000000000000000001517436701200414155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000043151517436701200444460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-retracker-clima-snow-depth-lpf-cassis{ "type": "Collection", "id": "sea-ice-retracker-clima-snow-depth-lpf-cassis", "stac_version": "1.0.0", "description": "Envisat sea ice freeboard and thickness from heuristic retracker TFMRA50 and AMSR climatology snow depth in the Antarctic. To access the data please mailto:florent.garnier@legos.obs-mip.fr. File name: envisatv3_SIT_fb_snow-AMSR-clim_sh_2003_2011_ease2_w25000.nc", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Access" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Sea ice freeboard and thickness_heuristic retracker TFMRA50 and AMSR climatology snow depth_Antarctic_Envisat", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "ENVISAT", "GCOM-W1", "Terra" ], "osc:project": "lpf-cassis", "osc:variables": [ "Ice Depth/Thickness", "Freeboard" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_freeboard_and_thickness_snow_depth" } ], "osc:region": "Antarctica", "created": "2020-01-01T00:00:00Z", "start_datetime": "2003-01-01T00:00:00Z", "end_datetime": "2011-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2003-01-01T00:00:00Z", "2011-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Depth/Thickness", "Freeboard" ] }sea-ice-retracker-snow-depth-cryosat-lpf-cassis/000077500000000000000000000000001517436701200420145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000042341517436701200450450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-retracker-snow-depth-cryosat-lpf-cassis{ "type": "Collection", "id": "sea-ice-retracker-snow-depth-cryosat-lpf-cassis", "stac_version": "1.0.0", "description": "CryoSat-2 sea ice freeboard and thickness from heuristic retracker TFMRA50 and AMSR-2 snow depth in the Antarctic. To access the data please mailto:florent.garnier@legos.obs-mip.fr. File name: c2esaD_SIT_fb_snow-AMSR_sh_2011_2020_ease2_w25000.nc", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Access" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Sea ice freeboard and thickness_TFMRA50 and AMSR-2 snow depth_Antarctic_CryoSat-2/SARAL", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2", "SARAL" ], "osc:project": "lpf-cassis", "osc:variables": [ "Ice Depth/Thickness", "Freeboard" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_freeboard_and_thickness_snow_depth" } ], "osc:region": "Antarctica", "created": "2020-01-01T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Depth/Thickness", "Freeboard" ] }sea-ice-retracker-snow-depth-envisat-lpf-cassis/000077500000000000000000000000001517436701200420015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000042741517436701200450360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-retracker-snow-depth-envisat-lpf-cassis{ "type": "Collection", "id": "sea-ice-retracker-snow-depth-envisat-lpf-cassis", "stac_version": "1.0.0", "description": "Envisat sea ice freeboard and thickness from heuristic retracker TFMRA50 and AMSR-2 snow depth in the Antarctic. envisatv3_To access the data please mailto:florent.garnier@legos.obs-mip.fr. File name: SIT_fb_snow-AMSR_sh_2003_2011_ease2_w25000.nc", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Access" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Sea ice freeboard and thickness_heuristic retracker TFMRA50 and AMSR-2 snow depth_Antarctic_Envisat", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "ENVISAT", "GCOM-W2", "Terra" ], "osc:project": "lpf-cassis", "osc:variables": [ "Ice Depth/Thickness", "Freeboard" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_freeboard_heurestic_retracker_snow_depth" } ], "osc:region": "Antarctica", "created": "2020-01-01T00:00:00Z", "start_datetime": "2003-01-01T00:00:00Z", "end_datetime": "2011-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2003-01-01T00:00:00Z", "2011-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Depth/Thickness", "Freeboard" ] }sea-ice-snow-depth-lpf-cassis/000077500000000000000000000000001517436701200363525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000042031517436701200413770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-snow-depth-lpf-cassis{ "type": "Collection", "id": "sea-ice-snow-depth-lpf-cassis", "stac_version": "1.0.0", "description": "CryoSat-2 sea ice freeboard and thickness from heuristic retracker TFMRA50 and ASD snow depth in the Antarctic. To access the data please mailto:florent.garnier@legos.obs-mip.fr. File name: c2esaD_SIT_fb_snow-ASD_sh_2013_2020_ease2_w25000.nc", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Access" }, { "rel": "via", "href": "https://www.aviso.altimetry.fr/en/data/products/altimetry-ice-products/altimetry-sea-ice-products-from-ctoh.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Sea ice freeboard and thickness_TFMRA50 and ASD snow depth_Antarctic_CryoSat-2/SARAL", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2", "SARAL" ], "osc:project": "lpf-cassis", "osc:variables": [ "Ice Depth/Thickness", "Freeboard" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_freeboard_and_thickness_snow_depth" } ], "osc:region": "Antarctica", "created": "2020-01-01T00:00:00Z", "start_datetime": "2013-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2013-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Depth/Thickness", "Freeboard" ] }sea-ice-thickness-lpf-arcticsummit/000077500000000000000000000000001517436701200374745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000044431517436701200425270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sea-ice-thickness-lpf-arcticsummit{ "type": "Collection", "id": "sea-ice-thickness-lpf-arcticsummit", "stac_version": "1.0.0", "description": "This datset will present biweekly gridded snow and sea ice parameters for the Arctic derived from the European Space Agency's satellite CryoSat-2. Parameters will include sea ice freeboard, sea ice thickness, snow depth, snow density, and uncertainties.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01613", "title": "Access" }, { "rel": "via", "href": "https://data.bas.ac.uk/metadata.php?id=GB/NERC/BAS/PDC/01613", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.5285/d8c66670-57ad-44fc-8fef-942a46734ecb" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Sea ice thickness_monthly_Oct 2010-July 2020Arctic_CryoSat-2 Baseline-D observations", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "lpf-arcticsummit", "osc:variables": [ "Ice Depth/Thickness", "Freeboard" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_ice_thickness" } ], "osc:region": "Arctic", "created": "2022-01-01T00:00:00Z", "start_datetime": "2021-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "sci:doi": "10.5285/d8c66670-57ad-44fc-8fef-942a46734ecb", "extent": { "spatial": { "bbox": [ [ -178.4105321808, 60.6134006095, 178.3660428163, 84.2454100786 ] ] }, "temporal": { "interval": [ [ "2021-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea Ice", "Ice Depth/Thickness", "Freeboard" ] 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"rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Sea level trends over 1993-2015 and 2005-2015 from the OCCIPUT ensemble simulation", "osc:themes": [ "Oceans" ], "osc:missions": [], "osc:project": "lpf-ovalie", "osc:variables": [ "Sea Level" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sea_level_trends" } ], "osc:region": "Global", "created": "2018-11-14T00:00:00Z", "start_datetime": "1993-01-01T00:00:00Z", "end_datetime": "2015-12-31T23:59:59Z", "sci:doi": "10.5281/zenodo.1487983", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "1993-01-01T00:00:00Z", "2015-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sea 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All the necessary information to reconstruct the study are provided.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://onlinelibrary.wiley.com/doi/10.1002/esp.5196", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Slope instabilities in glacier forefields_SwissAlps_S1/2", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-1", "Sentinel-2" ], "osc:project": "alpglacier", "osc:variables": [ "Glacier Motion/Ice Sheet Motion" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "glacier_forefields" } ], "osc:region": "Switzerland", "start_datetime": "2016-01-01T00:00:00Z", "end_datetime": "2016-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 5.95591129, 45.81799493, 10.49229402, 47.80846475 ] ] }, "temporal": { "interval": [ [ "2016-01-01T00:00:00Z", "2016-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glacier Motion/Ice Sheet Motion", "Cryospheric Indicators", "Glacial Measurements", "Sea Ice" ] }sm-based-inversion-approach-ebro-irrigation/000077500000000000000000000000001517436701200413065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000070011517436701200443320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sm-based-inversion-approach-ebro-irrigation{ "type": "Collection", "id": "sm-based-inversion-approach-ebro-irrigation", "stac_version": "1.0.0", "description": "The products are the first regional-scale and high-resolution (1 and 6 km) irrigation water data sets obtained from remote sensing observations. 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Upcoming Product", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://alpsnow.enveo.at/publications.html", "title": "Access" }, { "rel": "via", "href": "https://ieeexplore.ieee.org/document/9511112", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Snow grain size for European Alps_Multimission", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-2", "Landsat-8", "Terra" ], "osc:project": "alpsnow", "osc:variables": [ "Snow Cover" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "snow_grain" } ], "osc:region": "Europe", "extent": { "spatial": { "bbox": [ [ 5.95591129, 45.81799493, 10.49229402, 47.80846475 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Snow/Ice", "Snow Cover", "Cryospheric Indicators" ] }snow-liquid-water-europe-alps-alpsnow/000077500000000000000000000000001517436701200402225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000032621517436701200432530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/snow-liquid-water-europe-alps-alpsnow{ "type": "Collection", "id": "snow-liquid-water-europe-alps-alpsnow", "stac_version": "1.0.0", "description": "Snow liquid water content (wet snow) for European Alps. Upcoming Product", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://alpsnow.enveo.at/publications.html", "title": "Access" }, { "rel": "via", "href": "https://ieeexplore.ieee.org/document/9511113", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Snow liquid water content (wet snow) for European Alps_Multimission", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-2", "Landsat-8", "Terra" ], "osc:project": "alpsnow", "osc:variables": [ "Snow Water Equivalent" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "snow_liquid_water" } ], "osc:region": "Europe", "extent": { "spatial": { "bbox": [ [ 5.95591129, 45.81799493, 10.49229402, 47.80846475 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Snow/Ice", "Snow Water Equivalent", "Terrestrial Hydrosphere" ] }snow-water-equivalent-europe-alps-alpsnow/000077500000000000000000000000001517436701200411105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000032341517436701200441400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/snow-water-equivalent-europe-alps-alpsnow{ "type": "Collection", "id": "snow-water-equivalent-europe-alps-alpsnow", "stac_version": "1.0.0", "description": "Snow water equivalent for European Alps. Upcoming Product", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://alpsnow.enveo.at/publications.html", "title": "Access" }, { "rel": "via", "href": "https://ieeexplore.ieee.org/document/9511110", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Snow water equivalent for European Alps_Multimission", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-2", "Landsat-8", "Terra" ], "osc:project": "alpsnow", "osc:variables": [ "Snow Water Equivalent" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "snow_water_equivalent" } ], "osc:region": "Europe", "extent": { "spatial": { "bbox": [ [ 5.95591129, 45.81799493, 10.49229402, 47.80846475 ] ] }, "temporal": { "interval": [ [ null, null ] ] } }, "license": "proprietary", "keywords": [ "Snow/Ice", "Snow Water Equivalent", "Terrestrial Hydrosphere" ] }solar-activity-polar-cap-plasma-density-ion-outflow/000077500000000000000000000000001517436701200427525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000041161517436701200460020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/solar-activity-polar-cap-plasma-density-ion-outflow{ "type": "Collection", "id": "solar-activity-polar-cap-plasma-density-ion-outflow", "stac_version": "1.0.0", "description": "Solar activity- and height-adjusted plasma density measurements in the polar cap (i.e., above 80° latitude in Modified Apex110 coordinates) from the Swarm and CHAMP satellites. covering the entire CHAMP mission period (2002–2009) and the Swarm mission period from launch through February 2020.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://zenodo.org/record/3813146#.YaS7fi8w3fY", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.5281/zenodo.3813146" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "CHAMP and Swarm solar activity- and height-scaled polar cap plasma density measurements", "osc:themes": [ "Magnetosphere_Ionosphere" ], "osc:missions": [ "SWARM" ], "osc:project": "swarm-outflow", "osc:variables": [ "Solar Activity" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "solar_activity" } ], "created": "2020-05-07T00:00:00Z", "start_datetime": "2002-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "sci:doi": "10.5281/zenodo.3813146", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2002-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Sun-Earth Interactions", "Solar Activity" ] }spectral-albedo-arctic-sice/000077500000000000000000000000001517436701200361415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000034111517436701200411660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/spectral-albedo-arctic-sice{ "type": "Collection", "id": "spectral-albedo-arctic-sice", "stac_version": "1.0.0", "description": "1 km Arctic regional land ice areas, daily, with cloud mask, geotiff at https://github.com/AdrienWehrle/SICE/tree/master/masks", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://dataverse01.geus.dk/dataverse/sice", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Spectral albedo_Arctic_S3", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-3" ], "osc:project": "s3-snow-and-ice-products", "osc:variables": [ "Albedo" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "spectral_albedo" } ], "osc:region": "Arctic", "created": "2020-01-01T00:00:00Z", "start_datetime": "2017-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -178.4105321808, 60.6134006095, 178.3660428163, 84.2454100786 ] ] }, "temporal": { "interval": [ [ "2017-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric Radiation", "Albedo", "Snow/Ice", "Land Surface", "Surface Radiative Properties", "Terrestrial Hydrosphere" ] }spectral-albedo-greenland-s34science-snow/000077500000000000000000000000001517436701200406375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000033661517436701200436750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/spectral-albedo-greenland-s34science-snow{ "type": "Collection", "id": "spectral-albedo-greenland-s34science-snow", "stac_version": "1.0.0", "description": "1 km Greenland daily, geotiff at https://github.com/AdrienWehrle/SICE/tree/master/masks", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://dataverse01.geus.dk/dataverse/sice", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Spectral albedo_Greenland_S3", "osc:themes": [ "Cryosphere", "Land" ], "osc:missions": [ "Sentinel-3" ], "osc:project": "s34science-snow", "osc:variables": [ "Albedo" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "spectral_albedo" } ], "osc:region": "Greenland", "created": "2019-01-01T00:00:00Z", "start_datetime": "2017-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -73.709433726, 60.2878324851, -12.713339976, 83.5902211563 ] ] }, "temporal": { "interval": [ [ "2017-01-01T00:00:00Z", "2018-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric Radiation", "Albedo", "Snow/Ice", "Land Surface", "Surface Radiative Properties", "Terrestrial Hydrosphere" ] }stokes-drift-atlantic-world-ocean-circulation/000077500000000000000000000000001517436701200416515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000033341517436701200447020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/stokes-drift-atlantic-world-ocean-circulation{ "type": "Collection", "id": "stokes-drift-atlantic-world-ocean-circulation", "stac_version": "1.0.0", "description": "Stokes drift estimation for the Atlantic", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.worldoceancirculation.org/Products", "title": "Access" }, { "rel": "via", "href": "https://drive.google.com/file/d/1BKXPowKI8Tpnv2zUmbd3Iy4BEG8GDG0Q/view?usp=sharing", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Stokes drift estimation_Atlantic Ocean", "osc:themes": [ "Oceans" ], "osc:missions": [], "osc:project": "woc", "osc:variables": [ "Ocean Currents" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "stokes_drift_estimation" } ], "osc:region": "Atlantic Ocean", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -89.4913889096, -57.9204174532, 12.2761059784, 49.8937187295 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2018-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Ocean Circulation", "Ocean Currents" ] }stratospheric-ozone-column-limb-sunlit/000077500000000000000000000000001517436701200404665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000046231517436701200435210ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/stratospheric-ozone-column-limb-sunlit{ "type": "Collection", "id": "stratospheric-ozone-column-limb-sunlit", "stac_version": "1.0.0", "description": "Stratospheric ozone column from limb satellites, daily temporal resolution, 1 x 1 degrees spatial resolution, 2004-2020. The datasets are created using combination of total ozone column from OMI and TROPOMI with stratospheric ozone profile datasets from several limb-viewing instruments (MLS, OSIRIS, MIPAS, SCIAMACHY, OMPS-LP, GOMOS). Ozone profiles from limb satellite instruments are homogenized, i.e., biases are removed and validation /a-posteriori estimation of random uncertainties is performed. The high spatial and vertical resolution dataset of ozone profiles is created via kriging-type interpolation of the limb profiles from each day to 1°x1° horizontal grid. The daily 1°x1° stratospheric ozone column dataset from limb instruments is evaluated in two ranges: from tropopause and from 3 km below the tropopause.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://nsdc.fmi.fi/data/data_sunlit.php", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Stratospheric ozone column from limb satellites_Global", "osc:themes": [ "Atmosphere" ], "osc:missions": [ "Limb-Viewing Instruments" ], "osc:project": "sunlit", "osc:variables": [ "Total Ozone" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "stratospheric_ozone_column" } ], "osc:region": "Global", "created": "2020-12-31T00:00:00Z", "start_datetime": "2004-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2004-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric Chemistry", "Oxygen Compounds", "Atmospheric Ozone" ] }subglacial-lake-drainage-4dantarctica/000077500000000000000000000000001517436701200400435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000055001517436701200430710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/subglacial-lake-drainage-4dantarctica{ "type": "Collection", "id": "subglacial-lake-drainage-4dantarctica", "stac_version": "1.0.0", "description": "Repeat Subglacial Lake Drainage and Filling Beneath Thwaites Glacier. Active subglacial lakes have been identified throughout Antarctica, offering a window into subglacial environments and their impact on ice sheet mass balance. Here we use high-resolution altimetry measurements from 2010 to 2019 to show that a lake system under the Thwaites Glacier undertook a large episode of activity in 2017, only four years after the system underwent a substantial drainage event. Our observations suggest significant modifications of the drainage system between the two events, with 2017 experiencing greater upstream discharge, faster lake-to-lake connectivity, and the transfer of water within a closed system. Measured rates of lake recharge during the inter-drainage period are 137% larger than modeled estimates, suggesting processes that drive subglacial meltwater production, such as geothermal heat flux or basal friction, are currently underestimated.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://4d-antarctica.org/wp-content/uploads/2021/01/Malczyk_etal_2020_data_v2.tar", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.1029/2020GL089658", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Subglacial Lake Drainage and Filling Antarctica Multimission", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2", "SMOS", "AQUA (EOS/PM-1)", "Sentinel-1", "Sentinel-2", "ERS-1", "ERS-2", "ENVISAT", "TanDEM-X", "Landsat-8" ], "osc:project": "4d-antarctica", "osc:variables": [ "Glacial Lake Extent" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "subglacial_lake_drainage" } ], "osc:region": "Antarctica", "created": "2020-09-01T00:00:00Z", "start_datetime": "2010-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2010-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glaciers", "Glacial Lake Extent" ] }subglacial-lake-volumes/000077500000000000000000000000001517436701200354245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000047751517436701200404670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/subglacial-lake-volumes{ "type": "Collection", "id": "subglacial-lake-volumes", "stac_version": "1.0.0", "description": "Estimated volume changes of five subglacial lakes in Greenland, that are characterised by collapse basins on the ice sheet surface above the lakes. The subglacial lake volumes have been estimated by computing the collapse basin volume. At collapse basins where CryoSat-2 Swath data is available, the CS2 heights and the DEM volumes are used to create a smoothed linear inversion to estimate the CS2 volumes as a function of time. The uncertainties of the volume estimates derived from the inversion are based on an error propagation of the CS2 depth estimates. Please read the README_SubglacialLakes.txt in the zip file", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.dtu.dk/ndownloader/files/36169965", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.11583/DTU.20237388.v1", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.11583/DTU.20237388.v1" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Sublacial Lake Volumes (ESA POLAR+ 4D Greenland Experimantal Dataset", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "CryoSat-2" ], "osc:project": "4d-greenland", "osc:variables": [ "Subglacial Lake" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "subglacial-lake-volumes" } ], "osc:region": "Greenland", "created": "2022-07-06T00:00:00Z", "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "sci:doi": "10.11583/DTU.20237388.v1", "extent": { "spatial": { "bbox": [ [ -90.0, 60.0, -20.0, 82.0 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glaciers", "Subglacial Lake" ] }subglacial-melt-maps/000077500000000000000000000000001517436701200347175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000056421517436701200377540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/subglacial-melt-maps{ "type": "Collection", "id": "subglacial-melt-maps", "stac_version": "1.0.0", "description": "The raster maps showing the subglacial melt for the Greenland ice sheet is based on the sum of different heat sources. The basal melt rates are spatially distributed and each grid cell represents a potential source of basal meltwater. These maps are produced for each timestamp associated with the surface velocity data maps and surface meltwater volumes. However, the time-varying friction heat component has a large uncertainty due to limitations in the numerical approximation. The “Greenland Ice Sheet Basal Melt” data set (Karlsson, 2021) is available as rasters in NETCDF format:\nThis dataset contains basal melt rates as published in Karlsson et al., (2021). The data can be accessed in three formats NetCDF, ascii and Matlab. The data contain basal melt rates in metres per year from three different heat sources: geothermal flux, friction heat and viscous heat from surface meltwater. The data also contain the total basal melt rates in metres per year (the sum of the three terms). Uncertainties for each term is named X_unc. Note that the geothermal flux has an asymetrical uncertainty. The uncertainty for the total melt rates are found by root squared sum of uncertainties. See README.txt for more information.\"", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://dataverse.geus.dk/dataset.xhtml?persistentId=doi:10.22008/FK2/PLNUEO#", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.1038/s41467-021-23739-z", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Subglacial Melt Maps", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-1" ], "osc:project": "4d-greenland", "osc:variables": [ "Ice Growth/Melt" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "subglacial_melt" } ], "osc:region": "Greenland - Watson basin", "created": "2021-04-13T00:00:00Z", "start_datetime": "2001-01-01T00:00:00Z", "end_datetime": "2019-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -90.0, 60.0, -20.0, 82.0 ] ] }, "temporal": { "interval": [ [ "2001-01-01T00:00:00Z", "2019-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Snow/Ice", "Ice Growth/Melt", "Cryospheric Indicators", "Sea Ice" ] }sudden-stratospheric-warming-vera/000077500000000000000000000000001517436701200374635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000061541517436701200425170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/sudden-stratospheric-warming-vera{ "type": "Collection", "id": "sudden-stratospheric-warming-vera", "stac_version": "1.0.0", "description": "SSW events from 2008 to 2018: Each figure shows, from the top to the bottom, daily values of the Northern Hemisphere polar temperature at 10 hPa (~32 km altitude); daily values of the meridional temperature gradient between 90ËšN and 60ËšN at 10 hPa; daily values of the zonal mean zonal wind at 60ËšN and 10 hPa; daily values of the solar flux index F10.7; and daily sum of the geomagnetic activity index Kp. The occurrence of a sudden stratospheric warming (SSW) can be identified as a rapid increase in the polar temperature (>25 K in a week or less), the reversal of the meridional temperature gradient (T at 90ËšN minus T at 60ËšN) from negative to positive values, and the reduction or reversal of the zonal mean zonal wind in the stratosphere at 60ËšN. An SSW event is called \"major\" when the direction of the zonal mean zonal wind at 60ËšN and 10 hPa changes from eastward to westward; otherwise the event is called \"minor\". The ionospheric variability results not only from SSWs but also from solar and magnetospheric sources. The F10.7 index is a proxy for the solar energetic radiation flux into the Earth's upper atmosphere. The Kp index quantifies geomagnetic activity, which is closely related to the activity level of the magnetosphere. Geomagnetic activity is considered to be high when the daily sum of the Kp index is 23 or more.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.gfz-potsdam.de/en/section/geomagnetism/projects/archive/vera-vertical-coupling-in-earths-atmosphere-at-mid-and-high-latitudes/#c65013", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Sudden Stratospheric Warming (SSW)", "osc:themes": [ "Magnetosphere_Ionosphere" ], "osc:missions": [ "SWARM" ], "osc:project": "vera", "osc:variables": [ "Sudden Stratospheric Warming (SSW)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "sudden_stratospheric_warming" } ], "created": "2021-04-01T00:00:00Z", "start_datetime": "2008-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2008-01-01T00:00:00Z", "2018-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Climate Indicators", "Atmospheric/Ocean Indicators", "Temperature Indicators", "Stratospheric Temperature Anomalies", "Sudden Stratospheric Warming" ] }supraglacial-lakes-west-4dantarctica/000077500000000000000000000000001517436701200377775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000101201517436701200430170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/supraglacial-lakes-west-4dantarctica{ "type": "Collection", "id": "supraglacial-lakes-west-4dantarctica", "stac_version": "1.0.0", "description": "The products provide a scientific benchmark to monitor the development of these features in a warming climate, and thus enhancing our capability to predict the calving and collapse of any ice shelves in the future. The results provide a baseline for future monitoring of supraglacial hydrology and can be particularly useful to train supervised machine learning algorithms. The lake and channel dataset will be valuable as training data for pixel-based or object-based approaches to map large-scale features automatically using machine learning. This dataset can also provide an a-priori lake distribution for studies incorporating synthetic-aperture radar, SAR and other sensors and platforms. This dataset consists of the maximum extent of supraglacial hydrological activity during January 2017 and detailed 10,478 supraglacial features (10,223 lakes and 255 channels), with cumulative area 119.4 square km in total on the West Antarctic ice sheet and Antarctic Peninsula. In addition to the final product, the supraglacial hydrological features from both sensors (23,389 polygons for S2 and 17,571 polygons for L8) overlapping the final map are included in supplementary datasets. The supraglacial lake and channel polygons are available as digital GIS, Geographic Information System, shapefiles (.shp) and GeoJSON files as well as Google Earth format (.kmz). The code used to produce the lake and channel dataset for each sensor (S2 and L8) is implemented using Python, and can be accessed on GitHub: https://github.com/diarmuidcorr/Lake-Channel-Identifier/tree/v1.0 and on Zenodo: https://zenodo.org/record/4906097#.ZDa5-XbP1aQ. The products provide a scientific benchmark to monitor the development of these features in a warming climate, and thus enhancing our capability to predict the calving and collapse of any ice shelves in the future. The results provide a baseline for future monitoring of supraglacial hydrology and can be particularly useful to train supervised machine learning algorithms. The lake and channel dataset will be valuable as training data for pixel-based or object-based approaches to map large-scale features automatically using machine learning. This dataset can also provide an a-priori lake distribution for studies incorporating synthetic-aperture radar, SAR and other sensors and platforms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://zenodo.org/record/5642755#.ZDa5z3bP1aR", "title": "Access" }, { "rel": "via", "href": "https://essd.copernicus.org/articles/14/209/2022/", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Supraglacial lakes and channels in West Antarctica and Antarctic Peninsula during January 2017 (v.1.1)", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-2", "Landsat-8" ], "osc:project": "4d-antarctica", "osc:variables": [ "Glacial Lake Extent" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "suprgaglacial_lakes" } ], "osc:region": "West Antarctica and the Antarctic Peninsula", "created": "2021-11-03T00:00:00Z", "start_datetime": "2017-01-01T00:00:00Z", "end_datetime": "2017-02-10T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -144.0, -78.0, 146.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2017-01-01T00:00:00Z", "2017-02-10T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glaciers", "Glacial Lake Extent" ] }supraglacial-storage-and-drainage-lake-features-mapped-by-sentinel1/000077500000000000000000000000001517436701200456375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000062011517436701200506640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/supraglacial-storage-and-drainage-lake-features-mapped-by-sentinel1{ "type": "Collection", "id": "supraglacial-storage-and-drainage-lake-features-mapped-by-sentinel1", "stac_version": "1.0.0", "description": "An experimental dataset produced for the 4D-Greenland project, one of the Polar+ projects funded by the European Space Agency. The dataset provides a classification of supraglacial lake extent, derived using Sentinel-1 SAR imagery, over the Watson case study site. The dataset is produced using a dynamic thresholding approach (Miles et al 2018).\nThe dataset is produced for the period May 2017- Sept 2019. The temporal resolution of the dataset is approximately fortnightly (subject to methodological limitations) and is delivered as rasters in GeoTIFF format (epsg:3413). Raster pixels are denoted as: 0 where no surface water was detected; 1 where either HH or HV polarisation detected a backscatter signature representative of surface water; 2 where both HH and HV polarisations detected a backscatter signature representative of surface water; or 999 where the signal has been saturated and the output cannot distinguish if the signal is due to melt or other surface characteristics with the same backscattered signature.\nThe naming convention indicates the original SAR tile used in the analysis and is identified by the sequence of fields described here:\n_________.fileextension\nFor example:\nextent_S1B_EW_GRDH_1SDH_20180811T202931_20180811T203031_012220_016839_916F.tif", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://zenodo.org/record/7568049#.ZDbG4nbP1aQ", "title": "Access" }, { "rel": "via", "href": "https://4dgreenland.eo4cryo.dk/?page_id=48", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Supraglacial Storage and Drainage - Lake Features Mapped by Sentinel-1", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "Sentinel-1" ], "osc:project": "4d-greenland", "osc:variables": [ "Glacial Lake Extent" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "supraglacial_storage_and_drainage_lake" } ], "osc:region": "Greenland - Watson basin", "created": "2023-01-25T00:00:00Z", "start_datetime": "2017-05-01T00:00:00Z", "end_datetime": "2019-09-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -90.0, 60.0, -20.0, 82.0 ] ] }, "temporal": { "interval": [ [ "2017-05-01T00:00:00Z", "2019-09-30T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Glaciers/Ice Sheets", "Glaciers", "Glacial Lake Extent" ] }surface-elevation-change-lpf-mitap/000077500000000000000000000000001517436701200374425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000032401517436701200424670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/surface-elevation-change-lpf-mitap{ "type": "Collection", "id": "surface-elevation-change-lpf-mitap", "stac_version": "1.0.0", "description": "Surface elevation changes derived from Digital Elevation Model differentiating using data from TanDEM-X acquisitions from austral winters 2013 and 2017", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Surface elevation changes Antarctic Peninsula <70°S between 2013 and 2017_Antarctica_TanDEM-X", "osc:themes": [ "Cryosphere", "Land" ], "osc:missions": [ "TanDEM-X" ], "osc:project": "lpf-mit-ap", "osc:variables": [ "Digital Elevation/Terrain Model (DEM)" ], "osc:status": "planned", "osc:type": "product", "cf:parameter": [ { "name": "surface_elevation_change" } ], "osc:region": "Antarctica", "start_datetime": "2013-01-01T00:00:00Z", "end_datetime": "2017-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -80.0, 180.0, -61.0 ] ] }, "temporal": { "interval": [ [ "2013-01-01T00:00:00Z", "2017-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Topography", "Terrain Elevation", "Digital Elevation/Terrain Model (DEM)" ] }surface-melt-detection-from-active-microwave-ascat-melt/000077500000000000000000000000001517436701200435135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000043101517436701200465370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/surface-melt-detection-from-active-microwave-ascat-melt{ "type": "Collection", "id": "surface-melt-detection-from-active-microwave-ascat-melt", "stac_version": "1.0.0", "description": "Greenland Ice Sheet melt map time series 2007-2021, derived from ASCAT for 4DGreenland, v1, 2023 (ENVEO). The data set contains Greenland-wide daily melt extent/stage maps (presence of liquid water) from 2007 until 2021 derived from the ASCAT Enhanced Resolution Image Reconstruction (SIR) product. Additionally, based on the melt maps, the annual melt onset, end of the melt season and melt duration are also provided. Data freely available after registration at: http://cryoportal.enveo.at/ ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://cryoportal.enveo.at/data/", "title": "Access" }, { "rel": "via", "href": "https://4dgreenland.eo4cryo.dk/?page_id=48", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Surface Melt Detection from Active Microwave - ASCAT Melt Product", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "MetOp" ], "osc:project": "4d-greenland", "osc:variables": [ "Ice Growth/Melt" ], "osc:status": "completed", "osc:type": "product", "cf:parameter": [ { "name": "surface_melting" } ], "osc:region": "Greenland", "created": "2023-01-30T00:00:00Z", "start_datetime": "2007-01-01T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -90.0, 60.0, -20.0, 82.0 ] ] }, "temporal": { "interval": [ [ "2007-01-01T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Snow/Ice", "Ice Growth/Melt", "Cryospheric Indicators", "Sea Ice" ] }surface-melting-antarctica-cryosmos/000077500000000000000000000000001517436701200377645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000043611517436701200430160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/surface-melting-antarctica-cryosmos{ "type": "Collection", "id": "surface-melting-antarctica-cryosmos", "stac_version": "1.0.0", "description": "The product “Occurrence of Surface Melting” includes the melted/not melted status of every pixel each day, as well as the mask which excludes the ocean as well as areas never experiencing melting. Surface melting is retrieved from passive microwave radiometer SMOS using the algorithm described in D5-2. Product details are available at: http://www.ifac.cnr.it/cryosmos/products/CryoSMOS_D8_EDUM_V2.0.pdf.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.ifac.cnr.it/cryosmos/products/SM_TEST_OSMDP4_20100401T000000_20190331T000000_100_001_0.nc", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.5194/tc-14-539-2020" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Occurrence of Surface Melting_Antarctica_SMOS", "osc:themes": [ "Cryosphere" ], "osc:missions": [ "SMOS" ], "osc:project": "cryosmos", "osc:variables": [ "Ice Growth/Melt" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "surface_melting" } ], "osc:region": "Antarctica", "created": "2020-03-19T00:00:00Z", "start_datetime": "2013-01-01T00:00:00Z", "end_datetime": "2014-12-31T23:59:59Z", "sci:doi": "10.5194/tc-14-539-2020", "extent": { "spatial": { "bbox": [ [ -180.0, -83.0, 180.0, -60.0 ] ] }, "temporal": { "interval": [ [ "2013-01-01T00:00:00Z", "2014-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Snow/Ice", "Ice Growth/Melt", "Cryospheric Indicators", "Sea Ice" ] }surface-soil-moisture-s1-for-surface-soil-moisture/000077500000000000000000000000001517436701200425215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000056731517436701200455620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/surface-soil-moisture-s1-for-surface-soil-moisture{ "type": "Collection", "id": "surface-soil-moisture-s1-for-surface-soil-moisture", "stac_version": "1.0.0", "description": "The dataset consists of a time series of the Sentinel-1 (S-1) surface soil moisture (SSM) product at 1 km spatial resolution validated in Balenzano et al. (2021 a) over the Southern Italy. The specifications of the S-1 SSM product are provided in Balenzano et al. (2021 b). The SSM time series was obtained in correspondence of the ascending (RON A146) S-1 Interferometric Wide swath (IW) acquisition dates from January 2015 to December 2018 with a temporal gap between consecutive of 6 days (when both S-1A and S-1B data are available) or 12 days. On each date (183 in total), two co-registered layers are provided: mean SSM [m3/m3] and its standard deviation [m3/m3], which provides the SSM uncertainty. The retrieval algorithm is a time series short term change detection (STCD) that is implemented in the “Soil MOisture retrieval from multi-temporal SAR data (SMOSAR) code (Balenzano et al. 2013). Product details: https://www.sciencedirect.com/science/article/pii/S2352340921006296?via%3Dihub", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.sciencedirect.com/science/article/pii/S2352340921006296?via%3Dihub", "title": "Access" }, { "rel": "cite-as", "href": "https://doi.org/10.5281/zenodo.5006307" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Surface soil moisture time series_1 km resolution_Southern Italy_S1", "osc:themes": [ "Land" ], "osc:missions": [ "Sentinel-1" ], "osc:project": "s1-for-surface-soil-moisture", "osc:variables": [ "Soil Moisture" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "surface_soil_moisture" } ], "osc:region": "South Italy", "created": "2021-03-16T00:00:00Z", "start_datetime": "2015-01-01T00:00:00Z", "end_datetime": "2018-12-31T23:59:59Z", "sci:doi": "10.5281/zenodo.5006307", "extent": { "spatial": { "bbox": [ [ 6.62726578, 35.28896156, 18.78447454, 47.09214614 ] ] }, "temporal": { "interval": [ [ "2015-01-01T00:00:00Z", "2018-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Land Surface/Agriculture Indicators", "Soil Moisture", "Climate Indicators", "Soils", "Soil Moisture/Water Content", "Agriculture" ] }swarm-eiscat-conjunction-list-ion-outflow/000077500000000000000000000000001517436701200410735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000037351517436701200441310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/swarm-eiscat-conjunction-list-ion-outflow{ "type": "Collection", "id": "swarm-eiscat-conjunction-list-ion-outflow", "stac_version": "1.0.0", "description": "CSV file with a list of all conjunctions between Swarm A–C and either EISCAT-Svalbard or EISCAT-Tromsø Incoherent Scatter Radar. 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The data have been collected and processed over the Greenland Ice Sheet between 2011 and 2016. These data have been processed by the University of Edinburgh and are made publicly available as part of the European Space Agency funded CryoSat+ CryoTop Evolution STSE Study (ESA Contract 4000116874) involving the University of Edinburgh, isardSat UK, University of Leeds-CPOM, ENVEO. 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Volume uncertainty was determined via comparison with ICESat-2 transects. The uncertainty is represented by the maximum percentage difference between lake depths integrated over ICESat-2 transects and the corresponding S2 derived lake depth transect. For the red band, it was found that lake volumes were being underestimated by up to 33.5%. Some of the meltwater in the supraglacial lakes will not leave the ice sheet at the end of the melt season but remain frozen over the winter. It is very difficult to estimate how much. In this experimental dataset we assume that it is 25% of the observed September water volume that is frozen and stored during winter. 4. Subglacial meltwater flux maps were computed Greenland-wide, and integrated over the drainage basins of interest to produce monthly estimates of basal runoff.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.dtu.dk/ndownloader/files/38167731", "title": "Access" }, { "rel": "via", "href": "https://doi.org/10.11583/DTU.20237436.v3", "title": "Documentation" }, { "rel": "cite-as", "href": "https://doi.org/10.11583/DTU.20237436.v3" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json" ], "title": "Total Basin Run Off (ESA POLAR+ 4D Greenland Experimental Dataset)", "osc:themes": [ "Cryosphere" ], "osc:missions": [], 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"http://hydrology.irpi.cnr.it/projects/ridesat/", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Water level from altimetry_Temporal series_L3 Products Database_Po Sermide_Multimission", "osc:themes": [ "Land" ], "osc:missions": [ "Sentinel-3", "SARAL", "CryoSat-2", "Terra" ], "osc:project": "ridesat", "osc:variables": [ "Surface Water Processes/Measurements" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "water_level" } ], "osc:region": "Europe", "created": "2020-03-04T00:00:00Z", "start_datetime": "2018-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ 11.289, 45.015, 11.289, 45.015 ] ] }, "temporal": { "interval": [ [ "2018-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Terrestrial Hydrosphere", "Surface Water", "Surface Water Processes/Measurements" ] }water-vapour-isotopologues-lpf-weather/000077500000000000000000000000001517436701200404755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000032241517436701200435240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/water-vapour-isotopologues-lpf-weather{ "type": "Collection", "id": "water-vapour-isotopologues-lpf-weather", "stac_version": "1.0.0", "description": "L2 product of column water vapour (XH2O) and stable isotope XHDO, partial column water vapour from the planetary boundary layer XH2O_PBL", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://archive.ceda.ac.uk/", "title": "Access" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "GOSAT PBL XH2O and Stable Water Vapour Isotopologues_Global", "osc:themes": [ "Atmosphere" ], "osc:missions": [ "GOSAT" ], "osc:project": "lpf-weather", "osc:variables": [ "Water Vapor Profiles" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": "water_vapour" } ], "osc:region": "Global", "created": "2020-09-30T00:00:00Z", "start_datetime": "2009-01-01T00:00:00Z", "end_datetime": "2020-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2009-01-01T00:00:00Z", "2020-12-31T23:59:59Z" ] ] } }, "license": "proprietary", "keywords": [ "Atmospheric Water Vapor" ] }webgeodyn-py-4d-earth-swarm/000077500000000000000000000000001517436701200360625ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/productscollection.json000066400000000000000000000041511517436701200411110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/products/webgeodyn-py-4d-earth-swarm{ "type": "Collection", "id": "webgeodyn-py-4d-earth-swarm", "stac_version": "1.0.0", "description": "Webgeodyn is a Python package that provides web-based visualisations for Gauss coefficients of magnetic field and core flow. It can be installed and run locally on a variety of data formats. The tool is deployed on the website https://geodyn.univ-grenoble-alpes.fr to show visualisations on several magnetic field and core flow models (CHAOS, COV-OBS, pygeodyn results...).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gricad-gitlab.univ-grenoble-alpes.fr/Geodynamo/webgeodyn", "title": "Access" }, { "rel": "via", "href": "https://geodynamo.gricad-pages.univ-grenoble-alpes.fr/webgeodyn/index.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Webgeodyn Python package", "osc:themes": [ "Solid Earth", "Magnetosphere_Ionosphere" ], "osc:missions": [ "SWARM" ], "osc:project": "4d-earth-swarm", "osc:variables": [ "Magnetic Fields/Magnetic 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"stac_version": "1.0.0", "description": "Wet Troposphere Correction product generated for application to Cryosat data by U Porto", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Access" }, { "rel": "via", "href": "https://www.satoc.eu/projects/CP4O/data.html", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Wet Troposphere Correction_for Cryosat", "osc:themes": [ "Oceans", "Cryosphere" ], "osc:missions": [ "CryoSat" ], "osc:project": "cryosat-oceans", "osc:variables": [ "Sea Surface Height Anomaly (SSHA)" ], "osc:status": "ongoing", "osc:type": "product", "cf:parameter": [ { "name": 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"description": "Hourly stress equivalent wind and wind stress components at 10-m from ERA*, which consists of ECMWF ERA5 output, converted to U10S and stress, and then corrected using several scatterometer data sources", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.worldoceancirculation.org/Products", "title": "Access" }, { "rel": "via", "href": "https://drive.google.com/file/d/17yYD7nhG4lEOkiyFCEQcoPOY0ziJaHMW/view?usp=sharing", "title": "Documentation" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Products" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/cf/v0.2.0/schema.json" ], "title": "Wind stress vector (& anomalies)_Hourly_ERA5", "osc:themes": [ "Oceans" ], "osc:missions": [], "osc:project": "woc", "osc:variables": [ "Wind Stress" ], "osc:status": 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}stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/000077500000000000000000000000001517436701200307615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/3d-earth/000077500000000000000000000000001517436701200323705ustar00rootroot00000000000000collection.json000066400000000000000000000100621517436701200353360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/3d-earth{ "type": "Collection", "id": "3d-earth", "stac_version": "1.0.0", "description": "The goal of this project is establish a global 3D reference model model of the crust and upper mantle based on the analysis of satellite gravity and (electro) magnetic missions in combination with seismological models and analyse the feedback between processes in Earths deep mantle and the lithosphere. Selected case examples will provide the possibility to test these approaches on a global and regional scale. This will result in a framework for consistent models that will be used to link the crust and upper mantle to the dynamic mantle. The prime objective is to integrate, for the first time, seismological models and satellite observation towards a consistent image of the crust and upper mantle in 3D. Satellite gravity and (electro) magnetic data help to transfer velocity images towards composition and temperature that reflect the tectonic state and evolution of the Earth and offer a novel understanding of the processes that shape our planet. The limitations and sensitivity of the different geophysical methods in context of their imaging capability are analysed and combined with forward and inverse modelling to be able to evaluate the possibilities of these approaches to reveal the Earths structure. For the inverse modelling, we will explore the sensitivity of joint inversion to the individual data sets and compare these to inversions relying on only a single or a few data sets. To analyse the structure of the deep mantle, we will try to combine knowledge about mantle conductivity and mineral physics with the geophysical observations. We will assess the role of Earths internal layering and mantle convection on the evolution of the Earths surface (dynamic topography). The data and methods we propose to use in this study will significantly supersede previous attempts and will be a first step towards an understanding of the Earth in space and time, a necessary step towards the development of a 4D Earth model.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.3dearth.uni-kiel.de/en", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/stse-3d-earth/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "3D-EARTH", "osc:name": "3D-Earth", "osc:status": "completed", "osc:themes": [ "Solid Earth" ], "osc:type": "project", "contacts": [ { "name": "Roger Haagmans", "role": "technical_officer", "emails": [ { "value": "roger.haagmans@esa.int" } ] }, { "name": "UNIVERSITY OF KIEL (DE)", "role": "consortium_member" }, { "name": "BRITISH ANTARCTIC SURVEY (GB)", "role": "consortium_member" }, { "name": "DUBLIN INSTITUTE FOR ADVANCED STUDIES (DIAS) (IE)", "role": "consortium_member" }, { "name": "GEOLOGICAL SURVEY OF DENMARK AND GREENLAND (DK)", "role": "consortium_member" }, { "name": "TU DELFT (NL)", "role": "consortium_member" }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" }, { "name": "UNIVERSITY OF OSLO (NO)", "role": "consortium_member" } ], "start_datetime": "2019-10-22T00:00:00Z", "end_datetime": "2020-12-11T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-10-22T00:00:00Z", "2020-12-11T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/3dctrl/000077500000000000000000000000001517436701200321545ustar00rootroot00000000000000collection.json000066400000000000000000000072361517436701200351330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/3dctrl{ "type": "Collection", "id": "3dctrl", "stac_version": "1.0.0", "description": "3DCTRL project aims to evaluate cloud correction methodologies in Copernicus Sentinel-4, Sentinel-5 and Sentinel-5p trace gas retrieval schemes and to explore ways to improve handling of realistic clouds in the retrievals of atmospheric species. Cloud shadow fraction, cloud top height, cloud optical depth, solar zenith and viewing angles, were identified as the metrics being the most important in identifying 3D cloud impacts on NO2 TVCD retrievals. For a solar zenith angle less than about the synthetic data show that the NO2 TVCD bias is typically below 10%. For larger solar zenith angles both synthetic and observational data often show NO2 TVCD bias on the order of tens of %. In 3DCTRL, fast retrieval algorithms for 3D cloudy scenes will be designed. Very promising is a retrieval algorithm based on a linearized one:dimensional radiative transfer model, in which the direct beam and its derivative with respect to the total column are computed in a three-dimensional atmosphere. The performance of new methods for cloud correction will be evaluated against the present operational products and independent measurements. 3DCTRL project has the following main objectives: (a) Generate synthetic reference datasets in which true cloud properties including their 3D structure and vertical distribution are known by means of 3D radiative transfer simulations, realistic synthetic data of cloud properties will be obtained from large-eddy simulation (LES) model (b) Explore ways to improve the handling of realistic clouds in trace gas retrievals, specifically for NO2 (c) Testing and evaluation of improved approaches for cloud correction by application on synthetic and real TROPOMI-S5P data.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://websites.auth.gr/3dctrl/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/3dctrl/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "3DCTRL", "osc:name": "Handling of 3D Clouds in Trace Gas Retrievals - 3DCTRL", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "ARISTOTLE UNIV. 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Significant quantities of liquid water are being produced and transported at the ice sheet surface, base, and beneath its floating sections, and this water is in turn interacting with the ice sheet itself. Despite the key role that hydrology plays on the ice sheet environment, there is still no global hydrological budget for Antarctica. There is currently a lack of global data on supra: and sub:glacial hydrology, and no systems are in place for continuous monitoring of it or its impact on ice dynamics. The overall aim of 4DAntarctica is to advance our understanding of the Antarctic Ice Sheets supra and sub:glacial hydrology, its evolution, and its role within the broader ice sheet and ocean systems. We designed our programme of work to address the following specific objectives: Creating and consolidating an unprecedented dataset composed of ice:sheet wide hydrology and lithospheric products, Earth Observation datasets, and state of the art ice sheet and hydrology models; Improving our understanding of the physical interaction between electromagnetic radiation, the ice sheet, and liquid water; Developing techniques and algorithms to detect surface and basal melting from satellite observations in conjunction with numerical modelling; Applying these new techniques at local sites and across the continental ice sheet to monitor water dynamics and derive new hydrology datasets; Performing a scientific assessment of Antarctic Ice Sheet hydrology and of its role in the current changes the continent is experiencing; Proposing a future roadmap for enhanced observation of Antarcticas hydrological cycle. To do so, the project will use a large range of Earth Observation missions (e.g. Sentinel 1, Sentinel 2, SMOS, CryoSat 2, GOCE, TanDEM X, AMSR2, Landsat, Icesat 2) coupled with ice:sheet and hydrological models. By the end of this project, the programme of work presented here will lead to a dramatically improved quantification of meltwater in Antarctica, an improved understanding of fluxes across the continent and to the ocean, and an improved understanding of the impact of the hydrological cycle on ice sheets mass balance, its basal environment, and its vulnerability to climate change.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.4d-antarctica.org/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/4dantarctica/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "4D-ANTARCTICA", "osc:name": "4D-ANTARCTICA", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Diego Fernandez", "role": "technical_officer", "emails": [ { "value": "diego.fernandez@esa.int" } ] }, { "name": "UNIVERSITY OF EDINBURGH (GB)", "role": "consortium_member" }, { "name": "CNR: RESEARCH INSTITUTE FOR GEO:HYDROLOGICAL PROTECTION IRPI (IT)", "role": "consortium_member" }, { "name": "DLR GERMAN AEROSPACE CENTER (DE)", "role": "consortium_member" }, { "name": "EARTHWAVE Ltd (GB)", "role": "consortium_member" }, { "name": "EIDGENOSSISCHE TECHNISCHE HOCHSCHULE ZURICH (ETH ZURICH) (CH)", "role": "consortium_member" }, { "name": "ENVEO ENVIRONMENTAL EARTH OBSERVATION GMBH (AT)", "role": "consortium_member" }, { "name": "SHEPHERD SPACE LTD. (GB)", "role": "consortium_member" }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" }, { "name": "UKRI Rutherford Appleton Laboratory (GB)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LANCASTER ENVIROMENT CENTRE (GB)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LEEDS", "role": "consortium_member" }, { "name": "SCHOOL OF EARTH AND ENVIRONMENT (GB)", "role": "consortium_member" }, { "name": "UNIVERSITE GRENOBLE ALPES (FR)", "role": "consortium_member" } ], "start_datetime": "2019-09-24T00:00:00Z", "end_datetime": "2022-10-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-09-24T00:00:00Z", "2022-10-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/4d-earth-swarm/000077500000000000000000000000001517436701200335205ustar00rootroot00000000000000collection.json000066400000000000000000000063471517436701200365010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/4d-earth-swarm{ "type": "Collection", "id": "4d-earth-swarm", "stac_version": "1.0.0", "description": "The goal of the 4d-Earth:Swarm project, supported by ESA, is to improve our understanding of the rapid (interannual) changes in the geomagnetic field, as recorded by the three satellites of the Swarm mission of ESA : as well as earlier satellite missions such as CHAMP and Oersted, and ground-based observatories. The project is planned for 2.5 years, starting in Sept. 2019. It gathers partners from 5 institutes (ISTerre Grenoble; ETH Zurich; Leeds University; IPG Paris, DTU Copenhagen). It involves in particular: formatting of geomagnetic records, and their cleaning from external (magnetospheric and ionospheric) sources; numerical simulations of the geodynamo at extreme parameters; modeling of rapid field changes by means of reduced quasi-geostrophic equations; re-analysis of magnetic changes with a stochastic data assimilation algorithm; a specific analysis of the topographic coupling between the core and the mantle; a focus on high latitude jets and the physics on the cylinder tangent to the inner core and aligned with the Earth s rotation axis.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://4d-earth-swarm.univ-grenoble-alpes.fr/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/the-4d-earth-swarm-project/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "4D-Earth SWARM", "osc:name": "The 4D-Earth Swarm project", "osc:status": "completed", "osc:themes": [ "Solid Earth", "Magnetosphere_Ionosphere" ], "osc:type": "project", "contacts": [ { "name": "Roger Haagmans", "role": "technical_officer", "emails": [ { "value": "roger.haagmans@esa.int" } ] }, { "name": "CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)", "role": "consortium_member" }, { "name": "EIDGENOSSISCHE TECHNISCHE HOCHSCHULE ZURICH (ETH ZURICH) (CH)", "role": "consortium_member" }, { "name": "INST PHYSIQUE GLOBE (FR)", "role": "consortium_member" }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LEEDS", "role": "consortium_member" }, { "name": "SCHOOL OF EARTH AND ENVIRONMENT (GB)", "role": "consortium_member" } ], "start_datetime": "2019-04-16T00:00:00Z", "end_datetime": "2022-04-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-04-16T00:00:00Z", "2022-04-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/4d-greenland/000077500000000000000000000000001517436701200332255ustar00rootroot00000000000000collection.json000066400000000000000000000071751517436701200362060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/4d-greenland{ "type": "Collection", "id": "4d-greenland", "stac_version": "1.0.0", "description": "In 4DGreenland the overall aim is to advance the current state of knowledge on the hydrology of the Greenland Ice Sheet, by capitalising on the latest advances in Earth Observation data. The high latitudes of the Northern Hemisphere have experienced the largest warming over the last decades. The Greenland ice sheet is currently undergoing rapid changes in response to the increased temperatures. Understanding the Greenland ice sheet hydrologyis essential to understand these changes - and how the Greenland ice sheet will contribute to global sea level rise in a future warming climate. In 4DGreenland we will map and quantify both meltwater , subglacial and supra glacial processes, as well as performing an integrated assessment of Greenlands hydrology based on the results. We will focus our integrated assessment analysis on the time span 2010-present, and generate a Product Portfolio of novel datasets over the whole Greenland ice sheet to characterise the different components of the hydrological system. Thorough validation ofall derived products and scientific results will be carried out. Another outcome of the project will be a scientific roadmap providing recommendations to ESA to further advance the use of EO technology to address the main knowledge gaps and scientific challenges associated with the Greenland hydrology.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://4dgreenland.eo4cryo.dk/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/4dgreenland/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "4D-Greenland", "osc:name": "4D-Greenland", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Diego Fernandez", "role": "technical_officer", "emails": [ { "value": "diego.fernandez@esa.int" } ] }, { "name": "Technical University of Denmark (DTU)", "role": "consortium_member" }, { "name": "GEUS", "role": "consortium_member" }, { "name": "Lancaster University (LU)", "role": "consortium_member" }, { "name": "Environmental Earth Observation IT GmbH (ENVEO)", "role": "consortium_member" }, { "name": "Finish Meterological Institute (FMI)", "role": "consortium_member" }, { "name": "German Aerospace Center (DLR)", "role": "consortium_member" }, { "name": "Earthwave", "role": "consortium_member" }, { "name": "Sciences [&] Technology Corporation (S&T)", "role": "consortium_member" }, { "name": "Shepherd SPACE lth", "role": "consortium_member" } ], "start_datetime": "2020-08-26T00:00:00Z", "end_datetime": "2022-01-09T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-08-26T00:00:00Z", "2022-01-09T23:59:59Z" ] ] } }, "license": "proprietary" }4datlantic-ebus-primus/000077500000000000000000000000001517436701200352025ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000053431517436701200402350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/4datlantic-ebus-primus{ "type": "Collection", "id": "4datlantic-ebus-primus", "stac_version": "1.0.0", "description": "PRIMUS is an international multidisciplinary project funded by ESA that aims to substantially advance our existing understanding on the link between net primary production (NPP) and wind-forced upwelling in Atlantic Eastern Boundary Upwelling Systems (EBUS), through combining Earth Observation (EO) data obtained from satellite remote sensing, with upwelling and climate indices, data collected in-situ, and ocean circulation modelling.PRIMUS aims to make a major contribution to the ESA 4DAtlantic research programme, 4D reconstructions and understanding of Atlantic EBUS net primary production in relation to upwelling and its socio-economic impacts.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.primus-atlantic.org/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/4datlantic-ebus-primus/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "4DATLANTIC EBUS PRIMUS", "osc:name": "4DATLANTIC EBUS PRIMUS", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Diego Fernandez", "role": "technical_officer", "emails": [ { "value": "diego.fernandez@esa.int" } ] }, { "name": "Plymouth Marine Laboratory (GB)", "role": "consortium_member" }, { "name": "FCiências.ID (U. 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In particular, by exploiting previous ESA initiatives, 4DMED-Hydrology intendS- to demonstrate how this EO capacity can help to describe the interactions between complex hydrological processes and anthropogenic pressure (often difficult to model) in synergy with model-based approaches; to exploit synergies among EO data to maximize the retrieval of information of the different water cycle components (i.e., precipitation, soil moisture, evaporation, runoff, river discharge) to provide an accurate representation of our environment and advanced fit-for-purpose decision support systems in a changing climate for a more resilient society. 4DMED-Hydrology will focus on four test areas, namely the Po river basin in Italy, the Ebro River basin in Spain, the Herault River basin in France and the Medjerda River basin in Tunisia, which are representatives of climates, topographic complexity, land use, human activities and hydrometeorological hazards of the Mediterranean Region (MR). The developed products will be then extended to the entire region. The resulting EO-based products (i.e., experimental datasets, EO products) will be made available in an Open Science catalogue hosted and operated by ESA.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.4dmed-hydrology.org/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/4dmed-hydrology/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "4DMED-Hydrology", "osc:name": "4DMED-Hydrology", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Espen Volden", "role": "technical_officer", "emails": [ { "value": "espen.volden@esa.int" } ] }, { "name": "CNR : INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT (IREA) (IT)CIMA RESEARCH FOUNDATION (IT)", "role": "consortium_member" }, { "name": "ESTELLUS SAS (FR)", "role": "consortium_member" }, { "name": "EURAC RESEARCH : ACCADEMIA EUROPEA (IT)", "role": "consortium_member" }, { "name": "GHENT UNIVERSITY (BE)", "role": "consortium_member" }, { "name": "INSTITUT DE RECHERCHE POUR LE DEVELOPPEMENT (IRD) (FR)", "role": "consortium_member" }, { "name": "KU. KATH. KATHOLIEKE UNIVERSITEIT T (BE)", "role": "consortium_member" }, { "name": "OBSERVATORI DE L EBRE (ES)", "role": "consortium_member" }, { "name": "TECHNISCHE UNIVERSITAT WIEN (TU WIEN) (AT)", "role": "consortium_member" }, { "name": "VANDERSAT B.V. 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Currently, detecting and tracking these events in observational data or model projections relies on human-engineered rules which can be inconsistent and unreliable. To address this, we propose to use deep learning techniques to develop models that can learn from diverse data and alleviate the need for subjective rules, while providing useful additional information such as uncertainty estimates.. To develop these models, we will create a large dataset of expert: and crowd-sourced annotations of extreme weather events, including hurricanes, atmospheric rivers, and blocking events. Such large curated data sets have enabled breakthroughs in many disciplines such as biology and computer vision, and will enable large-scale data-driven research of extremes and their complex behaviour. We will then develop and evaluate a suite of deep learning models based on the new dataset. These deep learning models will be used to detect and track extreme weather events in climate model output and observational data. We will furthermore demonstrate concrete scientific use-cases of our data set and methods by working with domain experts to conduct novel analyses of these extreme weather events and their impact on the European Union. All data and methods from this project will be made openly accessible and we will provide tools and documentation for simple use of the resulting data and models for further research and education by non-experts and experts alike. Thus, our work has the potential to improve our understanding of extreme weather events and their impact on society.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/advancing-the-study-of-extreme-weather-events-with-data-deep-learning-methods-and-climate-analysis/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Advancing the Study of Extreme Weather Events with Data, Deep Learning Methods and Climate Analysis", "osc:name": "Advancing the Study of Extreme Weather Events with Data, Deep Learning Methods and Climate Analysis", "osc:status": "ongoing", "osc:themes": [ "Atmosphere", "Land" ], "osc:type": "project", "contacts": [ { "name": "Rochelle Schneider", "role": "technical_officer", "emails": [ { "value": "rochelle.schneider@esa.int" } ] }, { "name": "EIDGENOSSISCHE TECHNISCHE HOCHSCHULE ZURICH (ETH ZURICH) (CH)", "role": "consortium_member" } ], "start_datetime": "2021-10-22T00:00:00Z", "end_datetime": "2022-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-10-22T00:00:00Z", "2022-12-31T23:59:59Z" ] ] } }, "license": "proprietary" }aeolus-inno-aoc/000077500000000000000000000000001517436701200336735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000041341517436701200367230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/aeolus-inno-aoc{ "type": "Collection", "id": "aeolus-inno-aoc", "stac_version": "1.0.0", "description": "Assessing the potential of the Aeolus mission to monitor ocean sub:surface optical and biogeochemical properties based on the measurements from the wind lidar ALADIN (Atmospheric Laser Doppler Instrument) at 355 nm.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/aeolus-innovation-ocean-sub-surface-products-and-applications/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/aeolus-innovation-ocean-sub-surface-products-and-applications/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "AEOLUS+inno - 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This project attempts to provide a wall-to-wall coverage of glaciers in the Alps for the full Sentinel era and will analyse changes taking place in this time period and in contrast with earlier data from the EO archives.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://alpglacier.geo.uzh.ch/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/alpglacier/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "AlpGlacier", "osc:name": "AlpGlacier", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "UNIVERSITY OF ZURICH (CH)", "role": "consortium_member" }, { "name": "CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)", "role": "consortium_member" }, { "name": "EAWAG (CH)", "role": "consortium_member" }, { "name": "EIDGENOSSISCHE TECHNISCHE HOCHSCHULE ZURICH (ETH ZURICH) (CH)", "role": "consortium_member" }, { "name": "ENVEO ENVIRONMENTAL EARTH OBSERVATION GMBH (AT)", "role": "consortium_member" }, { "name": "GAMMA REMOTE SENSING AG (CH)", "role": "consortium_member" }, { "name": "UNIV PADOVA (IT)", "role": "consortium_member" } ], "start_datetime": "2020-07-12T00:00:00Z", "end_datetime": "2021-06-25T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-07-12T00:00:00Z", "2021-06-25T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/alplakes/000077500000000000000000000000001517436701200325555ustar00rootroot00000000000000collection.json000066400000000000000000000060111517436701200355220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/alplakes{ "type": "Collection", "id": "alplakes", "stac_version": "1.0.0", "description": "The AlpLakes project aims at providing operational products based on a combination of remote sensing and hydrodynamic models. ALPLAKES is a continuation of the CORESIM (ESA SEOM S2-4Sci Land and Water) project based on the recommendations provided during the CORESIM roadmap. While many studies have focused on ecosystem variability over a latitudinal gradient (Woolway and Merchant, 2019), the response of the freshwater systems to climate changes over an altitudinal gradient is comparatively less understood. For this purpose, the project upscaled the web-based platform (see Meteolakes, http://meteolakes.ch/ as baseline) by integrating 11 lakes from ~60 m.a.s.l to 1800 m.a.s.l around the Alps with a 3D modelling approach. Sentinel-2 products are used to improve the quality of the hydrodynamic model by providing, in near real:time, information about light penetration. This parameter is essential for the distribution of the incoming solar radiation as it controls, together with the atmospheric forcing, the evolution of the lakess thermal structure. Then, there will be an evaluation of the short time evolution of identified patterns from Sentinel-2 products by applying a particle:tracking technique. The final application will be openly available for in-depth analyses of specific events in a new web-based platform.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.datalakes-eawag.ch/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/alplakes/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "AlpLakes", "osc:name": "AlpLakes", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Espen Volden", "role": "technical_officer", "emails": [ { "value": "espen.volden@esa.int" } ] }, { "name": "EAWAG (CH)CNR:RESEARCH INSTITUTE FOR GEO:HYDROLOGICAL PROTECTION IRPI (IT)", "role": "consortium_member" }, { "name": "UNIVERSITA DEGLI STUDI DI TRENTO (IT)", "role": "consortium_member" } ], "start_datetime": "2022-01-20T00:00:00Z", "end_datetime": "2023-03-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-01-20T00:00:00Z", "2023-03-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/alpsnow/000077500000000000000000000000001517436701200324445ustar00rootroot00000000000000collection.json000066400000000000000000000050071517436701200354150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/alpsnow{ "type": "Collection", "id": "alpsnow", "stac_version": "1.0.0", "description": "Develop improved products for a number of snow parameters (area extent, albedo, grain size, depth, snow water equivalent, snow melt area and wetness).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://alpsnow.enveo.at", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/alpsnow/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "AlpSnow", "osc:name": "AlpSnow", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Espen Volden", "role": "technical_officer", "emails": [ { "value": "espen.volden@esa.int" } ] }, { "name": "ENVEO ENVIRONMENTAL EARTH OBSERVATION GMBH (AT)", "role": "consortium_member" }, { "name": "WSL Swiss Federal Institute for Forest", "role": "consortium_member" }, { "name": "Snow and Landscape Research (CH)", "role": "consortium_member" }, { "name": "UNIVERSITY OF EDINBURGH (GB)", "role": "consortium_member" }, { "name": "UNIV INNSBRUCK (AT)", "role": "consortium_member" }, { "name": "Environmental Protection Agency of (IT)", "role": "consortium_member" }, { "name": "EURAC RESEARCH ACCADEMIA EUROPEA (IT)", "role": "consortium_member" }, { "name": "DLR GERMAN AEROSPACE CENTER (DE)", "role": "consortium_member" }, { "name": "CENTRAL INSTITUTE FOR METEOROLOGY AND GEODYNAMICS (AT)", "role": "consortium_member" } ], "start_datetime": "2020-10-20T00:00:00Z", "end_datetime": "2022-01-12T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-10-20T00:00:00Z", "2022-01-12T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ampac-net/000077500000000000000000000000001517436701200326265ustar00rootroot00000000000000collection.json000066400000000000000000000065241517436701200356040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ampac-net{ "type": "Collection", "id": "ampac-net", "stac_version": "1.0.0", "description": "The Arctic is warming more than twice as fast as the global average, making climate changess polar effects more intense than anywhere else in the world. 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"rel": "via", "href": "https://www.bathysent.org", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/an-innovative-method-to-retrieve-global-coastal-bathymetry-from-sentinel-2/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "BathySent", "osc:name": "BathySent - An Innovative Method to Retrieve Global Coastal Bathymetry from Sentinel-2", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Espen Volden", "role": "technical_officer", "emails": [ { "value": "espen.volden@esa.int" } ] }, { "name": "BUREAU DE RECHERCHES GEOLOGIQUES ET MINIERES (BRGM) (FR", "role": "consortium_member" }, { "name": "CLOUDFERRO SP Z O. (PL)", "role": "consortium_member" }, { "name": "HELLENIC CENTRE FOR MARINE RESEARCH (HCMR) (GR)", "role": "consortium_member" } ], "start_datetime": "2018-07-05T00:00:00Z", "end_datetime": "2019-06-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-07-05T00:00:00Z", "2019-06-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/bicep/000077500000000000000000000000001517436701200320435ustar00rootroot00000000000000collection.json000066400000000000000000000127071517436701200350210ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/bicep{ "type": "Collection", "id": "bicep", "stac_version": "1.0.0", "description": "The ocean carbon cycle is a vital part of the global carbon cycle. It has been estimated that around a quarter of anthropogenically-produced emissions of CO2, caused from the burning of fossil fuels and land use change, have been absorbed by the ocean. On the other hand, significant advances have been made recently to expand and enhance the quality of a wide range of Remote Sensing based products capturing different aspects of the ocean carbon cycle. Building on recommendations made in a series of recent meetings and reports, on ESA lead initiatives and projects and on other relevant international programmes, the objective of the BICEP project is to bring these developments together into an holistic exercise to further advance our capacity to better characterise from a synergetic use of space data, in-situ measurements and model outputs, the different components of the ocean biological carbon pump, its pools and fluxes, its variability in space and time and the understanding of its processes and interactions with the earth system. To achieve this goal, the BICEP project will first synthesise the current state of knowledge in the field and produce a consolidated set of scientific requirements that define the products to be generated, as well as how these products will be evaluated and used to produce an enhanced BICEP dataset. Major emphasis will be placed on developing unified products to ensure that the carbon budgets made are in balance. Uncertainties in the derived products will also be quantified. A large in situ dataset of ocean carbon pools and fluxes will be created, to be used to evaluate and select the algorithms, with a focus on five key test sites, representative of the range of conditions in the global ocean. Using these selected algorithms, a 20-year time series of data will be generated, built through application of the selected algorithms to the ESA OC-CCI time series, a merged, bias:corrected ocean-colour data record explicitly designed for long-term analysis. The dataset will be used as input to a novel, satellite-based characterisation of the ocean biological carbon pump, quantifying the pools and fluxes, how they vary in time and space, and how they compare with ocean model estimates. The satellite-based Ocean Biological Cabon Pump analysis will then be placed in the context of carbon cycling in other domains of the Earth System, through engagement with Earth System modellers and climate scientists. Finally, a workshop will be organized, to be used as a vehicle to engage the international community in a discussion on how the BICEP work could be pushed forward, and integrated with results from other components of the ocean carbon cycle (e.g. CO2 air-flux and ocean acidification) not covered in the project, and how the representation of satellite-based ocean carbon work could be further improved in the context of large international Earth System analysis, such as the Global Carbon Project and assessments made within the International Panel of Climate Change (IPCC). The proposed work will be delivered by a consortium of twelve international Institutes, led by the Plymouth Marine Laboratory (PML, Plymouth, UK) and composed of top:level scientists, with collective expertise on Remote Sensing, statistical modelling, ocean carbon cycling, theoretical ecology and Earth System science.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://bicep-project.org/Home", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/bicep/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "BICEP", "osc:name": "Biological Pump and Carbon Exchange Processes", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "PLYMOUTH MARINE LABORATORY (GB)", "role": "consortium_member" }, { "name": "FINNISH METEOROLOGICAL INSTITUTE (FI)", "role": "consortium_member" }, { "name": "HELLENIC CENTRE FOR MARINE RESEARCH (HCMR) (GR)", "role": "consortium_member" }, { "name": "HYGEOS (FR)", "role": "consortium_member" }, { "name": "NATIONAL AND KAPODISTRIAN UNIVERSIT (GR)", "role": "consortium_member" }, { "name": "UNIVERSITY OF EXETER (GB)", "role": "consortium_member" }, { "name": "UNIVERSITY OF OXFORD (GB)", "role": "consortium_member" } ], "start_datetime": "2019-09-12T00:00:00Z", "end_datetime": "2023-08-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-09-12T00:00:00Z", "2023-08-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/bicome/000077500000000000000000000000001517436701200322175ustar00rootroot00000000000000collection.json000066400000000000000000000052011517436701200351640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/bicome{ "type": "Collection", "id": "bicome", "stac_version": "1.0.0", "description": "Increasing pressure on nature due to anthropogenic drivers is leading to a reduction of global biodiversity and its associated benefits at the planetary scale. In coastal environments, the most important direct drivers of biodiversity loss are fishing, land and sea use, climate change and pollution. These drivers have accelerated in the last 50 years, and they are predicted to continue, despite international efforts in the last decades. To guide further action, it is therefore urgent and important to develop fit for purpose observation tools. These observations should be capable of assessing and monitoring how the community structure and function of coastal ecosystems will respond to the anthropogenic and natural drivers in a changing climate. BiCOME aims to develop and provide the necessary evidence and promote a set of global Earth Observation products for biodiversity science and policy for the coastal zone.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/bicome/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "BiCOME", "osc:name": "Biodiversity+Precursors - Coastal", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "PML (UK)", "role": "consortium_member" }, { "name": "University of Nantes (FR)", "role": "consortium_member" }, { "name": "German Aerospace Center (DE)", "role": "consortium_member" }, { "name": "HYGEOS (FR)", "role": "consortium_member" } ], "start_datetime": "2021-10-14T00:00:00Z", "end_datetime": "2023-10-14T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-10-14T00:00:00Z", "2023-10-14T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/biomap/000077500000000000000000000000001517436701200322305ustar00rootroot00000000000000collection.json000066400000000000000000000046101517436701200352000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/biomap{ "type": "Collection", "id": "biomap", "stac_version": "1.0.0", "description": "The BiomAP project aims to Integrate active and passive microwave data towards a novel global record of aboveground biomass maps. This comprises an end-to-end assessment of active and passive microwave observations at coarse spatial resolution at the longest wavelengths available in space to generate global AGB estimates. This work will eventually provide a 5-years baseline, from 2015 to 2020, relevant to carbon-related studies. Global and repeated microwave observations will come from ESA (SMOS), Eumetsat (ASCAT), JAXA (AMSR2) and NASA (SMAP) missions and will be used in combination with NASA LiDAR observations (ICESat GLAS, GEDI and ICESat-2). The overarching objective of this study is to enhance the accuracy of global AGB estimates compared to existing data products and reported statistics by integrating the satellite observations currently most sensitive to the biomass stored in aboveground vegetation", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/biomap/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "BiomAP", "osc:name": "BiomAP", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Frank Martin Seifert", "role": "technical_officer", "emails": [ { "value": "frank.martin.seifert@esa.int" } ] }, { "name": "GAMMA REMOTE SENSING AG (CH)ESTELLUS SAS (FR)", "role": "consortium_member" } ], "start_datetime": "2021-09-22T00:00:00Z", "end_datetime": "2023-01-09T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-09-22T00:00:00Z", "2023-01-09T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/biomascat/000077500000000000000000000000001517436701200327235ustar00rootroot00000000000000collection.json000066400000000000000000000037021517436701200356740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/biomascat{ "type": "Collection", "id": "biomascat", "stac_version": "1.0.0", "description": "Developing a more comprenensive approach to the information gap by combining SAR and scatterometer data collected since the early 1990s to estiamte biomass properties", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/biomascat/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/biomascat/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "BIOMASCAT", "osc:name": "BIOMASCAT: Assessing vegetation carbon dynamics from multi-decadal spaceborne observations", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Marcus Engdahl", "role": "technical_officer", "emails": [ { "value": "marcus.engdahl@esa.int" } ] }, { "name": "GAMMA REMOTE SENSING AG (CH)", "role": "consortium_member" }, { "name": "MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY (DE)", "role": "consortium_member" } ], "start_datetime": "2018-05-09T00:00:00Z", "end_datetime": "2021-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-05-09T00:00:00Z", "2021-12-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/biomondo/000077500000000000000000000000001517436701200325675ustar00rootroot00000000000000collection.json000066400000000000000000000047021517436701200355410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/biomondo{ "type": "Collection", "id": "biomondo", "stac_version": "1.0.0", "description": "The European Space Agency (ESA) activity called Biodiversity+ Precursors is acontribution to the joint EC-ESA Earth System Science Initiative launched in February 2020 to jointly advance Earth System Science and its response to the global challenges that society is facing in the onset of this century. The ESABiodiversity+ Precursors include three projects on different themes; land (EO4Diversity), coast (BiCOME) and freshwaters (BIOMONDO). BIOMONDO is the freshwater project, and has a focus on biodiversity in lakes, wetlands, river and streams.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://biomondo.info/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/biomondo/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "BIOMONDO", "osc:name": "BIODIVERSITY+ PRECURSORS EXPRO+ THEME 2 - FRESHWATER (BIOMONDO)", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Marc Paganini", "role": "technical_officer", "emails": [ { "value": "marc.paganini@esa.int" } ] }, { "name": "BROCKMANN GEOMATICS SWEDEN AB (HEAD (SE)BROCKMANN CONSULT GMBH (DE)", "role": "consortium_member" }, { "name": "Deltares (NL)", "role": "consortium_member" }, { "name": "EAWAG (CH)", "role": "consortium_member" }, { "name": "PBL Netherlands Environmental Asses (NL)", "role": "consortium_member" } ], "start_datetime": "2022-07-21T00:00:00Z", "end_datetime": "2023-01-09T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-07-21T00:00:00Z", "2023-01-09T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/booms/000077500000000000000000000000001517436701200321005ustar00rootroot00000000000000collection.json000066400000000000000000000065401517436701200350540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/booms{ "type": "Collection", "id": "booms", "stac_version": "1.0.0", "description": "Biodiversity in the Open Ocean: Mapping, Monitoring and Modelling (BOOMS) aims to provide the best possible characterisation of oceanic seascapes and its relationship to Essential Biodiversity Variables (EBVs, Pereira et al, 2013) globally. The project will produce a >10-year time series of seascapes based on 4-km resolution remote sensing data over the global ocean, combining independent datasets from advanced algorithms of ocean colour and sea surface temperature. A novel research plan will be designed and implemented that aims to describe plans to consolidate and advance the current understanding of open ocean EBV, specifically targeting species of three different trophic levels, their relation to spatio-temporal variations of seascapes, their impact on Earth system processes, and effects on socio-economically important and marine policy activities. This plan will include a wide-ranging consultation with relevant stakeholders and early-adopters. The project will create or add to databases of relevant Earth Observation and in situ data, notably as input for the computation of ecoregions. BOOMS will use the 4-km version of the long-term climate:quality ESA Ocean Colour CCI dataset in combination with frontal structures derived from ESA Sea Surface Temperature CCI, and in specific areas use the new 1-km product from Ocean Colour-CCI. In-situ data will be mined from the scientific literature, existing databases, and be provided by our collaborators, notably in the North Atlantic Ocean, Tropical, South Atlantic and Southern Ocean. BOOMS will investigate prototype products and perform a thorough validation of the products by comparison with state-of-the-art dynamic ecoregions products and in situ observations.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.booms-project.org/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/booms/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "BOOMS", "osc:name": "Ocean Health - Open Ocean Biodiversity", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "PML (UK)", "role": "consortium_member" }, { "name": "NKUA (GR)", "role": "consortium_member" } ], "start_datetime": "2022-01-02T00:00:00Z", "end_datetime": "2024-01-02T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-01-02T00:00:00Z", "2024-01-02T23:59:59Z" ] ] } }, "license": "proprietary" }carbon-constellation/000077500000000000000000000000001517436701200350225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000063551517436701200400610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/carbon-constellation{ "type": "Collection", "id": "carbon-constellation", "stac_version": "1.0.0", "description": "Demonstrate the synergistic exploitation of satellite observations from active and passive microwave sensors together with optical data for an improved understanding of the terrestrial carbon and water cycles. This will be achieved by: adapting a numerical land surface model for its application in a data assimilation framework, anf by acquisition and analysis of campaign data sets at Sodankyl (Finland) and Majadas de Tietar (Spain) supporting the development of the model and the data assimilation scheme on the local scale.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://lcc.inversion-lab.com", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/land-surface-carbon-constellation-study/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Carbon Constellation", "osc:name": "LAND SURFACE CARBON CONSTELLATION STUDY", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Matthias Drusch", "role": "technical_officer", "emails": [ { "value": "matthias.drusch@esa.int" } ] }, { "name": "Lund University (SE)", "role": "consortium_member" }, { "name": "TU Vienna (AT)", "role": "consortium_member" }, { "name": "Forschungszentrum Julich (DE)", "role": "consortium_member" }, { "name": "The Inversion Lab (DE)", "role": "consortium_member" }, { "name": "Finnish Meteorological Institute (FI)", "role": "consortium_member" }, { "name": "University of Reading (UK)", "role": "consortium_member" }, { "name": "CESBIO (FR)", "role": "consortium_member" }, { "name": "Eidg. Forschungsanstalt fur Wald", "role": "consortium_member" }, { "name": "Schnee und Landschaft WSL (CH)", "role": "consortium_member" }, { "name": "TU Delft (NL)", "role": "consortium_member" }, { "name": "University of Valencia (ES)", "role": "consortium_member" }, { "name": "University of Edinburgh (UK)", "role": "consortium_member" }, { "name": "Max Planck Institute for Biogeochemistry (DE)", "role": "consortium_member" } ], "start_datetime": "2020-08-07T00:00:00Z", "end_datetime": "2023-04-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-08-07T00:00:00Z", "2023-04-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/careheat/000077500000000000000000000000001517436701200325355ustar00rootroot00000000000000collection.json000066400000000000000000000072171517436701200355130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/careheat{ "type": "Collection", "id": "careheat", "stac_version": "1.0.0", "description": "Oceans are responsible for absorbing circa 90% of the Earthss heat budget and 30% of the human-induced carbon emissions. While anthropogenic forcing (i.e., the rising of atmospheric CO2 concentration) is leading to the global warming of the climate system, the full disclosure of its role in all the physical processes involved in these changes still requires research advances to the current scientific knowledge, from an Earth Systems perspective. Indeed, the oceanss importance is not only one of climate system stabilization (i.e., reaching the equilibrium state, in response to external radiative forcing), but it is also related to its role as a significant services provider, in what is concerned with both marine ecosystems and blue economy activities. Hence, climate:induced effects in these two ocean-based domains are affected not only by long term changes but also by short:lived extreme events. It is under this scope that Marine Heat Waves (MHW) have been the topic of recent scientific advances and discussions, i.e., the realization that climate change is potentially linked with increasing frequencies of abnormal warm seawater temperature events, affecting living organisms and the overall ecosystems, ocean, and planetary health. CAREHeat aims to improve current MHW detection and characterization methodology and to advance the understanding of the physical processes involved in MHW development. 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CISAR is an advanced mathematical method developed by Rayference for the joint retrieval of surface reflectance and atmospheric (cloud and aerosols) properties from observations acquired by space-based imagers.The CISAR algorithm relies on the FASTRE radiative transfer model that describes surface reflectance and atmospheric absorption/scattering processes. The lowest level represents the surface. The lower layer hosts the aerosols. Molecular scattering and absorption are also taking place in that layer which is radiatively coupled with the surface for both the single and the multiple scattering. The upper layer is only subject to molecular absorption.The inversion of the FASTRE model within the CISAR algorithm against satellite observations provides accurate estimates of the surface reflectance field, aerosol or cloud optical thickness and single scattering properties in each processed spectral band. An estimate of the retrieval uncertainty is also provided.As the proposed method retrieved both cloud and aerosol properties with the same retrieval algorithm, no cloud mask is needed to perform the retrieval. Additionally, the same algorithm can be applied over any type of surfaces, including dark or bright surfaces or water bodies.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.circas.eu/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/consistent-retrieval-of-cloud-aerosol-surface/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "CIRCAS", "osc:name": "ConsIstent Retrieval of Cloud Aerosol Surface", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Simon Pinnock", "role": "technical_officer", "emails": [ { "value": "simon.pinnock@esa.int" } ] }, { "name": "RAYFERENCE SPRL (BE)", "role": "consortium_member" }, { "name": "BROCKMANN CONSULT GMBH (DE)", "role": "consortium_member" } ], "start_datetime": "2017-07-17T00:00:00Z", "end_datetime": "2019-02-10T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2017-07-17T00:00:00Z", "2019-02-10T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/circol/000077500000000000000000000000001517436701200322345ustar00rootroot00000000000000collection.json000066400000000000000000000040211517436701200352000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/circol{ "type": "Collection", "id": "circol", "stac_version": "1.0.0", "description": "Improve the retrieval of altimeter-derived currents in the Mediterranean Basin combining the largescale, altimeter-derived geostrophic currents with the high-resolution dynamical information contained in sequences of satellite-derived surface Chlorophyll (Chl) observations", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://circol.artov.ismar.cnr.it/index.html", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/circol/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "CIRCOL", "osc:name": "Ocean CIRculation from ocean COLour observations (CIRCOL)", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "CNR:INSTITUTE OF MARINE SCIENCES:ISMAR (IT)", "role": "consortium_member" }, { "name": "CLS COLLECTE LOCALISATION SATELLITES (FR)", "role": "consortium_member" } ], "start_datetime": "2019-07-26T00:00:00Z", "end_datetime": "2021-01-05T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-07-26T00:00:00Z", "2021-01-05T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/citysatair/000077500000000000000000000000001517436701200331355ustar00rootroot00000000000000collection.json000066400000000000000000000037331517436701200361120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/citysatair{ "type": "Collection", "id": "citysatair", "stac_version": "1.0.0", "description": "Develop and demonstrate a methodology that is capable of exploiting the various available data sources of urban air quality, to combine them in a mathematically objective and scientifically meaningful manner, and to provide value:added maps of urban air quality at high spatial resolution.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://citysatair.nilu.no/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/citysatair/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "CITYSATAIR", "osc:name": "CITYSATAIR", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "KNMI (NL)", "role": "consortium_member" }, { "name": "NILU : NORWEGIAN INSTITUTE FOR AIR RESEARCH (NO)", "role": "consortium_member" } ], "start_datetime": "2020-01-07T00:00:00Z", "end_datetime": "2021-07-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-01-07T00:00:00Z", "2021-07-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/costo/000077500000000000000000000000001517436701200321105ustar00rootroot00000000000000collection.json000066400000000000000000000050641517436701200350640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/costo{ "type": "Collection", "id": "costo", "stac_version": "1.0.0", "description": "The main objective of COSTO (Contribution of Swarm data to the prompt detection of Tsunamis and other natural hazards) project is to better characterize, understand and discover coupling processes and interactions between the ionosphere_magnetosphere, the lower atmosphere and the Earths surface and sea level vertical displacements. The proposed research effort targets to tsunamis that are the result of earthquakes, volcano eruptions or landslides. An early warning for tsunami occurrence, and especially an estimation of the amplitude of a tsunami are still a challenge.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://costo.uwm.edu.pl", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/costo/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "COSTO", "osc:name": "Contribution of Swarm data to the prompt detection of Tsunamis and other natural hazards (COSTO)", "osc:status": "completed", "osc:themes": [ "Solid Earth", "Magnetosphere_Ionosphere" ], "osc:type": "project", "contacts": [ { "name": "Roger Haagmans", "role": "technical_officer", "emails": [ { "value": "roger.haagmans@esa.int" } ] }, { "name": "UNIVERSITY OF WARMIA AND MAZURY IN (PL)", "role": "consortium_member" }, { "name": "NATIONAL OBSERVATORY OF ATHENS (GR)", "role": "consortium_member" }, { "name": "TECHNICAL UNIVERSITY OF MUNICH (DE)", "role": "consortium_member" }, { "name": "UNIVERSITAT POLITECNICA DE CATALUNYA (ES)", "role": "consortium_member" } ], "start_datetime": "2019-02-22T00:00:00Z", "end_datetime": "2020-10-28T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-02-22T00:00:00Z", "2020-10-28T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/crest/000077500000000000000000000000001517436701200321015ustar00rootroot00000000000000collection.json000066400000000000000000000041041517436701200350470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/crest{ "type": "Collection", "id": "crest", "stac_version": "1.0.0", "description": "Elaborate methods to merge aerosol extinction coefficient records from solar lunar stellar occultation and limb:scatter instruments and create a merged longterm multi mission aerosol record. The objective is to increase the reliability of the data set by including multiple instruments measuring similar atmospheric quantities in the post-SAGE II period.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/crest/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/crest/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "CREST", "osc:name": "CLIMATE DATA RECORD OF STRATOSPHERIC AEROSOLS (CREST)", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "FINNISH METEOROLOGICAL INSTITUTE (FI)", "role": "consortium_member" }, { "name": "ENIPOWER SPA (IT)", "role": "consortium_member" } ], "start_datetime": "2020-06-23T00:00:00Z", "end_datetime": "2021-05-25T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-06-23T00:00:00Z", "2021-05-25T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/cryobiolinks/000077500000000000000000000000001517436701200334705ustar00rootroot00000000000000collection.json000066400000000000000000000105051517436701200364400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/cryobiolinks{ "type": "Collection", "id": "cryobiolinks", "stac_version": "1.0.0", "description": "Climate warming in the northern high latitudes is twice as strong as the global average. Increasing surface temperatures drive significant changes in the cryosphere, reducing the snow mass and extent, seasonal frost and permafrost. Changes in the cryosphere are interconnected with changes in the biosphere, e.g. carbon uptake and release by vegetation and soil. These cryosphere:biosphere linkages and feedbacks may have important implications for the warming processes in the northern high latitudes and failure to account for them in Earth system models may cause significant uncertainties in climate projections. CryoBioLinks will investigate linkages between cryosphere variables and the carbon uptake of vegetation and their changes by using satellite observations on snow cover, soil freeze, land surface temperature, vegetation indices and solar:induced chlorophyll fluorescence (SIF), together with in situ CO2 flux measurements. For that, the ESA Climate Change Initiative (CCI) snow cover fraction, SMOS soil freeze and thaw time series and Sentinel-3 land surface temperature will be exploited and combined. SMOS soil freeze and thaw state will be fused with a novel Sentinel-1 soil freeze and thaw product to improve spatial resolution and reduce scaling errors when compared to CO2 flux sites. The correspondence of advanced vegetation indices from Sentinel-3 (chlorophyll/ carotenoid index and the plant phenological index) and GOSAT SIF and their relationship to gross primary production will be analysed. Satellite proxies describing seasonal dynamics of vegetation photosynthesis and gross primary production will be developed and their spatial distribution will be mapped in the northern high latitudes. The processing of vegetation indices and derived metrics from Sentinel-3 will be implemented to a cloud processing platform. The project will produce and publish multi-annual maps of proxy indicators covering the northern high latitudes (>60°N). Interconnections between the cryosphere variables and carbon fluxes will be studied for different ecosystem types in Finland and underlying mechanisms will be explored with the new terrestrial ecosystem model QUINCY. CryoBioLinks will advance the knowledge and produce new data sets on cryosphere:biosphere interactions, thus contributing to a grand challenge in climate science. The expected indicators can be utilized for the evaluation of cryosphere and biosphere processes in Earth system models. Developed methods are expected to provide means for the monitoring of changes in the cryosphere and vegetation carbon uptake, thus raising awareness and providing information for the preparation of climate adaptation and mitigation plans and herewith contributing to the Sustainable Development Goal 13: Climate action.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/cryobiolinks/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "CRYOBIOLINKS", "osc:name": "ASSESSING CRYOSPHERE-BIOSPHERE LINKAGES WITH EARTH OBSERVATIONS IN NORTHERN HIGH LATITUDES (CRYOBIOLINKS)", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "FINNISH ENVIRONMENT INSTITUTE (SYKE) (FI)", "role": "consortium_member" } ], "start_datetime": "2022-02-02T00:00:00Z", "end_datetime": "2023-01-04T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-02-02T00:00:00Z", "2023-01-04T23:59:59Z" ] ] } }, "license": "proprietary" }cryosat-antarctic-ocean/000077500000000000000000000000001517436701200354175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000066611517436701200404560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/cryosat-antarctic-ocean{ "type": "Collection", "id": "cryosat-antarctic-ocean", "stac_version": "1.0.0", "description": "This project is part of ESA s Scientific Data Exploitation Element activities, a component of the Earth Observation Envelope program (EOEP 5). This programme element responds to needs of the Earth Observation and Earth System science communities in terms of innovative methods, new products, open science tools and new Earth science results. The focus of the CryoSat+ Antarctic Ocean project is to develop, inter-compare and validate multiple approaches to sea surface height and sea ice thickness retrieval on Antarctic sea ice. The approaches to be considered in this proposal are: a. Novel LRM/SAR/SARIN methods for leads, polynyas, open ocean and sea ice classification b. Along-track processors over leads, polynyas and open ocean for sea surface estimation c. Along-track processors over sea ice floes for sea ice thickness estimation d. Pan-Antarctic gridded products of dynamic ocean topography and geostrophic currents (along with secondary productS- EKE, upwelling, etc) e. Pan-Antarctic gridded products of sea ice thickness f. Preliminary inter:comparison of Along-track and gridded products developed in steps b:e g. Validation over selected tracks and key regions againstin-situ and airborne data.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://cryosat.mssl.ucl.ac.uk/csao", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/cryosat-2-for-enhanced-sea-ice-thickness-and-ocean-observations-in-antarctica-cryosat-antarctic-ocean/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Cryosat+ Antarctic Ocean", "osc:name": "Cryosat+ Antarctic Ocean", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Jerome Bouffard", "role": "technical_officer", "emails": [ { "value": "jerome.bouffard@esa.int" } ] }, { "name": "MULLARD SPACE SCIENCE LABORATORY UNIVERSITY COLLEGE LONDON (GB)", "role": "consortium_member" }, { "name": "CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)", "role": "consortium_member" }, { "name": "CLS COLLECTE LOCALISATION SATELLITES (FR)", "role": "consortium_member" }, { "name": "SHEPHERD SPACE LTD. (GB)", "role": "consortium_member" }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" }, { "name": "isardSAT UK (GB)", "role": "consortium_member" } ], "start_datetime": "2018-12-21T00:00:00Z", "end_datetime": "2021-04-01T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-12-21T00:00:00Z", "2021-04-01T23:59:59Z" ] ] } }, "license": "proprietary" }cryosat-cryotop-evolution/000077500000000000000000000000001517436701200361055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000042611517436701200411360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/cryosat-cryotop-evolution{ "type": "Collection", "id": "cryosat-cryotop-evolution", "stac_version": "1.0.0", "description": "Generate L2, L3 and L4 products over the Greenland and Antarctic ice sheets from swath processing of CryoSat SARIn mode data", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://cryotop-evolution.org/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/stse-cryosat-cryotop-evolution-expro/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "CryoSat+ CryoTop Evolution", "osc:name": "STSE CryoSat+ CryoTop Evolution", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Mark Drinkwater", "role": "technical_officer", "emails": [ { "value": "mark.drinkwater@esa.int" } ] }, { "name": "UNIVERSITY OF EDINBURGH (GB)", "role": "consortium_member" }, { "name": "ENVEO ENVIRONMENTAL EARTH OBSERVATION INFORMATION TECHNOLOGY GMBH (AT)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LEEDS", "role": "consortium_member" }, { "name": "SCHOOL OF EARTH AND ENVIRONMENT (GB)", "role": "consortium_member" }, { "name": "isardSAT (ES)", "role": "consortium_member" } ], "start_datetime": "2016-03-03T00:00:00Z", "end_datetime": "2019-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2016-03-03T00:00:00Z", "2019-11-30T23:59:59Z" ] ] } }, "license": "proprietary" 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The project addresses important biodiversity science gaps, including (i) filling data gaps in the geographic, temporal, habitat and taxonomic composition coverage from in situ biodiversity observations; (ii) filling knowledge gaps, thereby assessing global species diversity; (iii) forecasting ecological degradation in order to define effective actions to reduce terrestrial biodiversity loss; as well as (iv) filling gaps in the data:policy link which may lead to a disconnection of biodiversity data that EO can generate and policy strategies including the EU Biodiversity Strategy for 2030, the UN SDGs and the Convention on Biodiversity (CBD) post-2020 targets. 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The first AI4SCIENCE ITT was launched in 2021 and had a focus on Extreme Events, multi-Hazards and Compound Events, and contributes to the ESA Extremes and Natural Disasters Science Cluster. extrAIM will develop a first:of:itS-kind, satellite-based, low:latency, uncertainty:aware precipitation dataset for the Mediterranean region, adjusted to account for the extremess probabilistic behavior. extrAIM will combine statistical learning and Bayesian modelling methods (for uncertainty quantification) with an AI (Artificial Intelligence):enhanced dataset integration approach, suitable for combining multiple precipitation products (e.g., satellite:data, estimates based on soil moisture), with an eye on modelss explainability. Finally, and with improving understanding and awareness in mind, extrAIM will develop a user:friendly data:management and visualization platform able to provide easy access to the UA Mediterranean dataset, as well as communicate risks arising from individual and compound extreme events. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://extraim.eu/en/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/extraim/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "extrAIM", "osc:name": "AI-ENHANCED UNCERTAINTY QUANTIFICATION OF SATELLITE-DERIVED HYDROCLIMATIC EXTREMES (extrAIM)", "osc:status": "ongoing", "osc:themes": [ "Land", "Oceans", "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Anca Anghelea", "role": "technical_officer", "emails": [ { "value": "anca.anghelea@esa.int" } ] }, { "name": "National Technical University of Athens (GR)CNR:RESEARCH INSTITUTE FOR GEO:HYDROLOGICAL PROTECTION IRPI (IT)", "role": "consortium_member" }, { "name": "Tethys Consulting (GR)", "role": "consortium_member" } ], "start_datetime": "2022-09-28T00:00:00Z", "end_datetime": "2024-04-01T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-09-28T00:00:00Z", "2024-04-01T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ffsar-coastal/000077500000000000000000000000001517436701200335065ustar00rootroot00000000000000collection.json000066400000000000000000000065521517436701200364650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ffsar-coastal{ "type": "Collection", "id": "ffsar-coastal", "stac_version": "1.0.0", "description": "FFSAR-Coastal is a project funded by ESA to apply the Fully Focused SAR altimetry processor on Sentinel-3 data and evaluate its potential to make a significant new contribution to coastal and estuarine monitoring systems. Innovative in situ water level gauges will be used for validation. Two different environments will be considered- The Severn Estuary and river: A highly dynamic mixed tidal estuary environment, the confluence between a river and its estuary experiencing large tidal range and strong tidal currents. The lower Rhone Delta and Camargue: A low lying, flat river delta and wetland environment, susceptible to inundation and rising water levels. By studying these two very different environments, the potential applicability and benefits offered by FF SAR altimeter data in other coastal, estuarine and delta locations will be demonstrated.Applications will focus on the benefits offered by the very high Along-track resolution in water level and backscatter that can be provided through FF SAR processing. User agencies and groups from the two regions will be consulted to identify gaps and priorities for monitoring requirements. Time series will be provided by autonomous in situ microstation gauges, drone-mounted instruments will be used to provide water level profiles between the fixed locations and satellite tracks.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/ffsar/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/ffsar-coastal/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "FFSAR - Coastal", "osc:name": "FFSAR - Coastal Fully Focused SAR Altimetry and Innovative River Level Gauges for Coastal Monitoring", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Jerome Benveniste", "role": "technical_officer", "emails": [ { "value": "jerome.benveniste@esa.int" } ] }, { "name": "SATELLITE OCEANOGRAPHIC CONSULTANTS LTD. (GB)National Oceanography Centre (NOC) (GB)", "role": "consortium_member" }, { "name": "New Forest District Council : Channel Coastal Observatory (GB)", "role": "consortium_member" }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" }, { "name": "VORTEX.IO (FR)", "role": "consortium_member" } ], "start_datetime": "2021-11-11T00:00:00Z", "end_datetime": "2024-06-01T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-11-11T00:00:00Z", "2024-06-01T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/fluvisat/000077500000000000000000000000001517436701200326165ustar00rootroot00000000000000collection.json000066400000000000000000000043621517436701200355720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/fluvisat{ "type": "Collection", "id": "fluvisat", "stac_version": "1.0.0", "description": "FluViSat is a proof:of:concept study leveraging recent scientific advances in hydrology to explore the potential use of satellite-collected video imagery to provide accurate and timely quantification of water movements and river flows for the benefit of water management globally. The project is funded through the European Space Agency s (ESA) : Future EO-1 EO Science for Society : Grand Science Challenges, and runs from January to December 2022. It is led by UK Centre for Ecology & Hydrology, in partnership with the Luxembourg-based company, RSS-Hydro, and the Queensland Government, Australia. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.ceh.ac.uk/our-science/projects/Fluvisat", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/fluvisat/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "FluViSat", "osc:name": "Fluvial Video from Satellite - FluViSat", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Bertrand Le Saux", "role": "technical_officer", "emails": [ { "value": "bertrand.le.saux@esa.int" } ] }, { "name": "UK Centre for Ecology and Hydrology (GB)RSS:Hydro (LU)", "role": "consortium_member" } ], "start_datetime": "2022-11-21T00:00:00Z", "end_datetime": "2024-01-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-11-21T00:00:00Z", "2024-01-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/forestscan/000077500000000000000000000000001517436701200331305ustar00rootroot00000000000000collection.json000066400000000000000000000047401517436701200361040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/forestscan{ "type": "Collection", "id": "forestscan", "stac_version": "1.0.0", "description": "Investigate novel technologies such as Terrestrial Laser Scanning (TLS) and Unmanned Aerial Vehicle-based Laser Scanning (UAV-LS) to complement manual plot based measurements of AGB by collecting and analysing such data for three tropical sites in French Guiana (Paracou), Gabon (Lop) and Malayisa (Sepilok). In addition at each of these sites airborne laser scanning data is available.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/forestscan/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/forestscan/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "ForestScan", "osc:name": "ForestScan", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Klaus Scipal", "role": "technical_officer", "emails": [ { "value": "klaus.scipal@esa.int" } ] }, { "name": "UCL CONSULTANTS LTD (GB)", "role": "consortium_member" }, { "name": "CIRAD (FR)", "role": "consortium_member" }, { "name": "IRD (FR)", "role": "consortium_member" }, { "name": "UNIVERSITY OF CAMBRIDGE (GB)", "role": "consortium_member" }, { "name": "UNIVERSITY OF EDINBURGH (GB)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LEEDS (GB)", "role": "consortium_member" }, { "name": "WAGENINGEN UNIVERSITEIT (NL)", "role": "consortium_member" } ], "start_datetime": "2019-08-03T00:00:00Z", "end_datetime": "2021-06-19T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-08-03T00:00:00Z", "2021-06-19T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/glambie/000077500000000000000000000000001517436701200323615ustar00rootroot00000000000000collection.json000066400000000000000000000044261517436701200353360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/glambie{ "type": "Collection", "id": "glambie", "stac_version": "1.0.0", "description": "GlaMBIE project builds on nascent efforts within the IACS working group on Regional Assessments of Glacier Mass Change (RAGMAC, https://cryosphericsciences.org/activities/wg-ragmac/ ) to setup and coordinate an intercomparison exercise of regional glacier mass changes from glaciological in-situ measurements and various remote sensing sources, including geodetic DEM differencing, altimetry, and gravimetry. Under the guidance of Scientific Advisory Committee (staffed with the RAGMAC co-chairs), an assessment framework, algorithm, and environment will be developed to compile and analyse the regional glacier mass-change results from the active research groups to come up with new consensus estimates of regional and global glacier mass changes and related uncertainties.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/glambie/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "GLAMBIE", "osc:name": "GLACIERS MASS BALANCE INTERCOMPARISON EXERCISE (GLAMBIE)", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "UNIVERSITY OF ZURICH (CH)", "role": "consortium_member" } ], "start_datetime": "2022-01-14T00:00:00Z", "end_datetime": "2024-12-02T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-01-14T00:00:00Z", "2024-12-02T23:59:59Z" ] ] } }, "license": "proprietary" }goce-antarctica/000077500000000000000000000000001517436701200337265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000041051517436701200367540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/goce-antarctica{ "type": "Collection", "id": "goce-antarctica", "stac_version": "1.0.0", "description": "Exploring the potential of GOCE to improve lithospheric modelling over Antarctica, to reduce uncertainties in bedrock topography and to study the implication on GIA modelling", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.bas.ac.uk/project/goceantarctica/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/goce-antarctica/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "GOCE+ ANTARCTICA", "osc:name": "GOCE+ ANTARCTICA", "osc:status": "completed", "osc:themes": [ "Solid Earth", "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Michael Kern", "role": "technical_officer", "emails": [ { "value": "michael.kern@esa.int" } ] }, { "name": "UNIVERSITY OF KIEL (DE)", "role": "consortium_member" }, { "name": "BRITISH ANTARCTIC SURVEY (GB)", "role": "consortium_member" }, { "name": "TU DELFT (NL)", "role": "consortium_member" }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" } ], "start_datetime": "2015-08-20T00:00:00Z", "end_datetime": "2019-06-25T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2015-08-20T00:00:00Z", "2019-06-25T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/hlpf-ssa/000077500000000000000000000000001517436701200324765ustar00rootroot00000000000000collection.json000066400000000000000000000115661517436701200354560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/hlpf-ssa{ "type": "Collection", "id": "hlpf-ssa", "stac_version": "1.0.0", "description": "The Earthss upper polar atmospheric region is constantly bombarded with energy input from the interaction between the magnetosphere and the solar wind. This controls immediately visible phenomena like the aurora borealis and australis, but also results in changes to the composition and dynamics of the atmosphere itself. The total rate of electromagnetic energy per unit area that travels between the magnetosphere and ionosphere, i.e. between the Earthss space environment and upper atmosphere, is called the Poynting flux. The Poynting flux can be measured by each satellite in the ESA Swarm constellation. The Poynting flux is one of the most important quantities for space weather studies to accurately determine due to its potential wide-reaching impact on the function of low earth orbiting satellites. This project will include four studies that examine the nature of how Poynting flux is deposited into the ionosphere-thermosphere system, the variability of small-scale Poynting fluxes within larger scale features, and the behaviour of the ionosphere spatially and temporally during uncommon events of upward Poynting flux. It is thought that enhancements of the neutral mass density in the thermospheric cusp region are due to small-scale (<1km) and high-magnitude (several tens of mW/m2) Poynting fluxes in the same region. Previous studies have been unable to fully confirm this, as many instruments lack the ability to measure Poynting fluxes on scales less than a kilometre. The electric field instruments on board the Swarm satellites however have this capability, and so the first study of this proposal will examine statistically the prevalence of sub-kilometre Poynting fluxes, mainly around the dayside cusp region. Whilst Swarm can offer high-resolution measurements of the Poynting flux, it is limited to ionospheric regions overlapping with Swarm orbits. Poynting flux can also be calculated using a combination of data from the Super Dual Auroral Radar Network (SuperDARN) and the Active Magnetosphere and Planetary Electrodynamics Response Experiment (AMPERE). Although the SuperDARN/AMPERE estimation would be global in scale rather than along the track of an orbit, the spatial resolution of both instruments means Poynting flux variability present within larger scale features (like field-aligned and substorm current regions) would be missed. The second study is therefore a multi-instrument study to investigate the small-scale features (measured by Swarm) embedded within large scale ionospheric features (measured by SuperDARN and AMPERE). Finally, both the duration and spatial extent of upward Poynting fluxes will be investigated in studies 3 and 4. When Poynting flux is upward, instead of downward into the atmosphere, it means an ionospheric electric field is driving the magnetosphere rather than the other way around. Upward Poynting flux can be due to the neutral wind flywheel effect, when residual momentum in thermospheric neutrals (from previous geomagnetically active conditions) maintains an ionospheric electric field even though the previous driver (convection of the magnetosphere) stops. This is a seldom studied subject, but the combination of Swarm Poynting flux measurements with the always-on global coverage of SuperDARN will offer new insight into how the thermosphere can feedback energy to the magnetosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/hlpf-ssa/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "HLPF-SSA", "osc:name": "HIGH-LATITUDE POYNTING FLUX INTO AND OUT OF THE ATMOSPHERE: SWARM, SUPERDARN AND AMPERE OBSERVATIONS (HLPF-SSA)", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "UNIVERSITY OF SASKATCHEWAN (CA)", "role": "consortium_member" } ], "start_datetime": "2022-09-15T00:00:00Z", "end_datetime": "2024-01-04T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-09-15T00:00:00Z", "2024-01-04T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/hr-albedomap/000077500000000000000000000000001517436701200333145ustar00rootroot00000000000000collection.json000066400000000000000000000040741517436701200362700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/hr-albedomap{ "type": "Collection", "id": "hr-albedomap", "stac_version": "1.0.0", "description": "Improving a current surface albedo generation system by adapting and integrating a deep learning system for cloud detection, an advanced atmospheric correction model which considers the surface BRDF effects, and a new technology allowing to retrieve high-resolution albedo from high-resolution reflectance by combining with downscaled MODIS BRDF climatology", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/hr-albedomap/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/hr-albedomap/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "HR-AlbedoMap", "osc:name": "HR-AlbedoMap: Generation of high-resolution spectral and broadband surface albedo products based on Sentinel-2 MSI measurements", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Espen Volden", "role": "technical_officer", "emails": [ { "value": "espen.volden@esa.int" } ] }, { "name": "UCL CONSULTANTS LTD (GB)", "role": "consortium_member" } ], "start_datetime": "2020-03-25T00:00:00Z", "end_datetime": "2021-10-07T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-03-25T00:00:00Z", "2021-10-07T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/hydrocoastal/000077500000000000000000000000001517436701200334555ustar00rootroot00000000000000collection.json000066400000000000000000000053011517436701200364230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/hydrocoastal{ "type": "Collection", "id": "hydrocoastal", "stac_version": "1.0.0", "description": "Study the interactions between inland water and coastal zone, between coastal zone and open ocean, and small-scale processes that govern these interactions", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/hydrocoastal/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/hydrocoastal/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "HydroCoastal", "osc:name": "HydroCoastal: coastal ocean and inland water altimetry", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Jerome Benveniste", "role": "technical_officer", "emails": [ { "value": "jerome.benveniste@esa.int" } ] }, { "name": "SATELLITE OCEANOGRAPHIC CONSULTANTS LTD. (GB)", "role": "consortium_member" }, { "name": "Along-track (FR)", "role": "consortium_member" }, { "name": "ARESYS SRL (IT)", "role": "consortium_member" }, { "name": "CNR:RESEARCH INSTITUTE FOR GEO:HYDROLOGICAL PROTECTION IRPI (IT)", "role": "consortium_member" }, { "name": "ISARDSAT S.L. (ES)", "role": "consortium_member" }, { "name": "National Oceanography Centre (GB)", "role": "consortium_member" }, { "name": "NATIONAL UNIVERSITY OF IRELAND", "role": "consortium_member" }, { "name": "MAY (IE)", "role": "consortium_member" }, { "name": "NOVELTIS SAS (FR)", "role": "consortium_member" }, { "name": "TECHNICAL UNIVERSITY OF DENMARK (DK)", "role": "consortium_member" }, { "name": "TECHNI", "role": "consortium_member" } ], "start_datetime": "2020-01-28T00:00:00Z", "end_datetime": "2022-02-18T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-01-28T00:00:00Z", "2022-02-18T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/icovac/000077500000000000000000000000001517436701200322255ustar00rootroot00000000000000collection.json000066400000000000000000000101661517436701200352000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/icovac{ "type": "Collection", "id": "icovac", "stac_version": "1.0.0", "description": "The global crisis due to the pandemic spread of the coronavirus COVID-19 that the humanity is facing since early 2020 led to unprecedented measures taken by different governments worldwide in order to limit as much as possible the number of impacted persons. Those measures include social distancing, banning of people gathering and travels, encouragement for teleworking, closings of schools, universities, restaurants, pubs and non-essential product shops, border closings. All those measures have been implemented by the individual countries at different moments, depending mostly on the virus outbreak timing in each territory. Italy has been the first European country to be significantly impacted by the virus outbreak and to take lockdown measures in early March 2020. Most of the other European countries had to take similar decisions in the following weeks, almost all countries worldwide are impacted by the COVID-19. All those measures impact significantly the anthropogenic emissions in the atmosphere as they lead to a drastic drop in road and air traffic and a strong reduction of industrial activities in non-essential sectors. On the other hand, other sectors might face increased demands, like domestic heating for example. Satellite measurements of nitrogen dioxide (NO2) tropospheric columns are a direct proxy for anthropogenic emissions. A decrease of the TROPOMI NO2 tropospheric columns in different parts of the world (e.g. China, Po Valley, US) during the respective lockdown periods has been reported in many press articles lately. Besides NO2, other atmospheric species such as CO, glyoxal, CO2, originate, at least partly, from anthropogenic activity and might be impacted by the taken COVID-19 measures. It will be investigated during this work whether a COVID-19 footprint can be detected in available satellite and ground-based data sets for a number of pollutants. We will attempt to assess the potential impact of the lockdown measures on air quality and climate by deriving updated NOx and CO emissions but also on climate with the analysis of satellite greenhouse gas data products, such as XCO2 columns and/or via the use of the NOx emissions as a proxy to derive fossil fuel CO2 emissions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://icovac.aeronomie.be/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/icovac/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "ICOVAC", "osc:name": "Impact study of COVID-19 lockdown measures on air quality and climate ICOVAC", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "BELGIAN INSTITUTE OF SPACE AERONOMY (BIRA:IASB) (BE)", "role": "consortium_member" }, { "name": "KNMI (NL)", "role": "consortium_member" }, { "name": "Netherlands Institute for Space Research (NWO:I) (NL)", "role": "consortium_member" }, { "name": "UNIVERSITAET BREMEN (DE)", "role": "consortium_member" } ], "start_datetime": "2020-04-29T00:00:00Z", "end_datetime": "2021-06-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-04-29T00:00:00Z", "2021-06-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ilgew/000077500000000000000000000000001517436701200320705ustar00rootroot00000000000000collection.json000066400000000000000000000046651517436701200350520ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ilgew{ "type": "Collection", "id": "ilgew", "stac_version": "1.0.0", "description": "ILGEW project has three main scientific objectives: 1) Characterize the whistler dispersion measured from Earth low orbital altitudes, in order to analyse the ionosphere below Swarm satellites, along the propagation path of the whistlers; 2) Constrain the lightning activity that lead to favourable propagation conditions for the generation of detectable ELF whistlers at Swarm altitudes; 3) Establish the benefits that can be obtained for ionospheric models such as the International Reference Ionosphere (IRI) by using the information obtained from whistlers characteristics.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://ilgew.ipgp.fr", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/ilgew/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "ILGEW", "osc:name": "INVESTIGATING LIGHTNING GENERATED ELF WHISTLERS TO IMPROVE IONOSPHERIC MODELS (ILGEW)", "osc:status": "completed", "osc:themes": [ "Atmosphere", "Magnetosphere_Ionosphere" ], "osc:type": "project", "contacts": [ { "name": "Roger Haagmans", "role": "technical_officer", "emails": [ { "value": "roger.haagmans@esa.int" } ] }, { "name": "INST PHYSIQUE GLOBE (FR)", "role": "consortium_member" }, { "name": "AGH UST: UNIVERSITY OF SCIENCE AND (PL)", "role": "consortium_member" }, { "name": "INSTITUTE OF ATMOSPHERIC PHYSICS (CZ)", "role": "consortium_member" } ], "start_datetime": "2019-02-22T00:00:00Z", "end_datetime": "2020-10-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-02-22T00:00:00Z", "2020-10-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/imitate/000077500000000000000000000000001517436701200324155ustar00rootroot00000000000000collection.json000066400000000000000000000054761517436701200354000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/imitate{ "type": "Collection", "id": "imitate", "stac_version": "1.0.0", "description": "The proposed IMITATE project aims to address the following questions: How well can machine learning methods emulate physical process-based land surface models, focused over Europe? Can explainable AI techniques provide new insights into process understanding when combining land surface models and Earth Observation data Are the learnt relationships between the modeled inputs and outputs consistent with those from Earth Observation data? To do this the project will: produce land surface model simulations from the JULES ESM (Earth System Model) over Europe focusing on the carbon cycle develop, train and evaluate machine learning models (emulators) against the simulated land surface parameters use these emulators to investigate the complex emergent relationships and feedback to gain an increased understanding of the underlying Earth System processes and to test whether data from satellite-based essential climate variables (e.g. ESA-CCI) are consistent with the relationships learnt from the land surface models. produce an Emulated-GPP (gross primary productivity) data product based on EO data, using the relationships learnt from the land surface model.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://rjp23.github.io/IMITATE/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/imitate/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "IMITATE", "osc:name": "Introducing Machine-learning Into Targeted Analysis for Terrestrial Ecosystems -IMITATE", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "UNIVERSITY OF LEICESTER (GB)UNIVERSITY OF READING (GB)", "role": "consortium_member" } ], "start_datetime": "2022-11-03T00:00:00Z", "end_datetime": "2024-01-04T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-11-03T00:00:00Z", "2024-01-04T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/irrigation/000077500000000000000000000000001517436701200331305ustar00rootroot00000000000000collection.json000066400000000000000000000076571517436701200361160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/irrigation{ "type": "Collection", "id": "irrigation", "stac_version": "1.0.0", "description": "Irrigation represents one of the most impacting human intervention in the water cycle considering that irrigated agriculture accounts for about 70 percent of water withdrawn worldwide from lakes, rivers and aquifers. Indeed, the expected increasing population in the future and consequently the increasing demand of food will require an improvement in the management of irrigation with a strong interest in reducing water withdrawals and increasing irrigation efficiency. In this context, the knowledge of the distribution and extent of irrigated areas as well as the amount of water used for irrigation plays a central role for both modelling irrigation water requirements at global scale and quantifying the impact of irrigation on climate, river discharge and groundwater depletion. On the other hand, obtaining high-quality information about the actual irrigated areas worldwide is challenging especially in terms of quantification of the water actually used for irrigation. This problem is well known in most of large scale hydrological/land surface models that do not include or are characterized by simplified irrigation schemes. The main goal of Irrigation+ project is to explore, develop and validate advanced Earth Observation-based algorithms and techniques for irrigation mapping, quantification and detection of seasonal timing of irrigation from field to regional/global scale. This especially capitalizing on the latest advances in Earth Observations and on the advent of the European Space Agency (ESA) Sentinel missions in synergy with other data types and models. The production of local to global satellite databases at different scales will be the basis to operationalization of irrigation products followed by impact assessment studies.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://esairrigationplus.org/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/irrigation-expro/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Irrigation+", "osc:name": "Irrigation+", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Espen Volden", "role": "technical_officer", "emails": [ { "value": "espen.volden@esa.int" } ] }, { "name": "CNR:INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT (IREA) (IT)", "role": "consortium_member" }, { "name": "ELEAF B.V. (NL)", "role": "consortium_member" }, { "name": "KU. KATH. KATHOLIEKE UNIVERSITEIT T (BE)", "role": "consortium_member" }, { "name": "OBSERVATORI DE L EBRE (ES)", "role": "consortium_member" }, { "name": "Spire Global Luxembourg S.a r.l. (LU)", "role": "consortium_member" }, { "name": "TECHNISCHE UNIVERSITAT WIEN (TU WIEN) (AT)", "role": "consortium_member" }, { "name": "UNIVERSITE TOULOUSE III: PAUL SABATIER (FR)", "role": "consortium_member" } ], "start_datetime": "2020-01-03T00:00:00Z", "end_datetime": "2022-10-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-01-03T00:00:00Z", "2022-10-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/karlos/000077500000000000000000000000001517436701200322545ustar00rootroot00000000000000collection.json000066400000000000000000000065661517436701200352400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/karlos{ "type": "Collection", "id": "karlos", "stac_version": "1.0.0", "description": "Air pollution is one of the current major environmental issues affecting human health at the global scale, therefore monitoring air pollution in urban and suburban areas is of great societal importance. The monitoring of air quality at urban scales is currently based on telemetricin-situ networks, which provide continuous observations with high accuracy of a number of relevant air pollutants but have limited representativeness due to the relatively small number of measurement sites. Air quality satellite observations has resolution values good enough to resolve the spatial and temporal variability of trace gases such as NO2 over regions of the world without sources, e.g. the oceans. However they fail in capturing the variability over most landmasses, especially over urban and complex (e.g.mountainous) terrains. Ground-based imaging DOAS in downward looking mode can represent a step forward for air quality monitoring in terms of spatial and temporal resolution but is rather seldom simply for the fact that a significantly elevated platform is needed for this purpose. Such a unique situation is present in Innsbruck with the Hafelekar station located at about 1800m above the city with little horizontal distance. The KARLOS (HafeleKAR Line Of Sight AQ monitoring) project aims to develop a mountain top imaging DOAS overlooking the city of Innsbruck with the following purposes- Demonstrate the capabilities and test the performance of the prototype; Monitor the air quality in and around Innsbruck at high temporal and spatial resolution; Assess the options for a high resolution air quality retrieval system combining measurements and model calculations", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://karlos.luftblick.at/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/karlos/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "KARLOS", "osc:name": "HafeleKAR Line Of Side AQ monitoring - KARLOS", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "LUFTBLICK OG (AT)BELGIAN INSTITUTE OF SPACE AERONOMY (BIRA:IASB) (BE)", "role": "consortium_member" }, { "name": "UNIV INNSBRUCK (AT)", "role": "consortium_member" } ], "start_datetime": "2022-08-04T00:00:00Z", "end_datetime": "2024-04-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-08-04T00:00:00Z", "2024-04-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/l2a/000077500000000000000000000000001517436701200314375ustar00rootroot00000000000000collection.json000066400000000000000000000061171517436701200344130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/l2a{ "type": "Collection", "id": "l2a", "stac_version": "1.0.0", "description": "ESA wind mission Aeolus hosts the first space-based Doppler Wind Lidar (DWL) world-wide. Its scientific objectives are to improve Numerical Weather Predictions (NWP) and to advance the understanding of atmospheric dynamics and its interaction with the atmospheric energy and water cycle. The primary data product is profiles of horizontally projected line:of:sight winds from the surface up to about 30 km, and spin:off products are profiles of cloud and aerosol optical properties. While the L2A product has a reasonable quality, its full potential for aerosol and cloud studies and for further improving NWP, has not been exploited. This is mainly because L2A is not provided separately for aerosol and cloud targets. The proposed L2A+ study aims at developing a refined Aeolus L2A aerosol product (L2A+), test its application for enhancing aerosol research and aims at assessing the impact of the new product on aerosol assimilation towards improved dust transport modelling and for further enhancing NWP. This overarching goal of L2A+ will be realised by fulfilling the following individual objectives: Develop a refined Aeolus aerosol optical product (L2A+). Examine the impact of L2A and L2A+ on aerosol assimilation and dust transport models. Assess the impact of Aeolus on NWP. Highlight the benefit of the Aeolus joint aerosol and wind assimilation for simulating dust deposition fields. Compare the monthly averaged L2A+ product with the CALIPSO L3 product, to assess the climatological value of L2A+ for aerosol databases.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/l2a/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "L2A+", "osc:name": "L2A+", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "NATIONAL OBSERVATORY OF ATHENS (GR)ECMWF (GB)", "role": "consortium_member" }, { "name": "Leibniz:Institute for Tropospheric (DE)", "role": "consortium_member" } ], "start_datetime": "2022-06-04T00:00:00Z", "end_datetime": "2024-04-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-06-04T00:00:00Z", "2024-04-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/liam/000077500000000000000000000000001517436701200317035ustar00rootroot00000000000000collection.json000066400000000000000000000040021517436701200346460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/liam{ "type": "Collection", "id": "liam", "stac_version": "1.0.0", "description": "Investigate the sensitivity of backscatter and brightness temperature (TB) data collected by satellite altimetry missions to lake ice and on-ice snow properties", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.h2ogeomatics.com/lake-ice-from-altimetry-missions-li", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/liam/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "LIAM", "osc:name": "Towards the retrieval of lake ice thickness from satellite altimetry missions (LIAM)", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Jerome Benveniste", "role": "technical_officer", "emails": [ { "value": "jerome.benveniste@esa.int" } ] }, { "name": "H2O GEOMATICS INC. (CA)", "role": "consortium_member" }, { "name": "Ocean Next (FR)", "role": "consortium_member" }, { "name": "UNIVERSITE GRENOBLE ALPES (FR)", "role": "consortium_member" } ], "start_datetime": "2020-09-06T00:00:00Z", "end_datetime": "2021-08-06T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-09-06T00:00:00Z", "2021-08-06T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/licrec/000077500000000000000000000000001517436701200322225ustar00rootroot00000000000000collection.json000066400000000000000000000107421517436701200351750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/licrec{ "type": "Collection", "id": "licrec", "stac_version": "1.0.0", "description": "Clouds play an important role in the energy budget of our planet: optically thick clouds reflect the incoming solar radiation, leading to cooling the Earth, while thinner clouds act as greenhouse films, preventing escape of the Earths long:wave radiation to space. Cloud response to ongoing greenhouse gases climate warming is the largest source of uncertainty for model-based estimates of climate sensitivity and therefore for predicting the evolution of future climate. Understanding the Earths energy budget requires knowing the cloud coverage, its vertical distributions and optical properties. Predicting how the Earth climate will evolve requires understanding how these cloud variables respond to climate warming. Documenting how the clouds detailed vertical structure evolves on a global scale over the long-term is therefore a necessary step towards understanding and predicting the clouds response to climate warming. Satellite observations have been providing a continuous survey of clouds over the whole globe. Passive infrared sounders have been observing our planet since 1979. Active sounders, which measure the altitude:resolved profiles of backscattered radiation with an accuracy on the order of 1 to 100 meters. These instruments have been providing invaluable information on clouds vertical profile with the accuracy matching modern requirements for climate:related processes and feedback analysis since 2006. All active instruments share the same measuring principle: they send a short pulse of laser or radar electromagnetic radiation to the atmosphere, collect the time-resolved backscatter signal by the telescope, and then register it in one or several receiver channels. However, the wavelength, pulse energy, pulse repetition frequency, telescope diameter, orbit, detector, or optical filtering are not the same for any pair of instruments. These differences define the active instruments capability of detecting atmospheric aerosols and/or clouds for a given atmospheric situation and observation conditions (day, night, averaging distance). At the same time, there is an obvious need to ensure the continuity of global space-borne lidar measurements. One has to stress that a simple merging of different satellite data is not enough, our overarching goal is to build a multi-lidar record accurate enough to constrain predictions of how the clouds evolve as climate warms. The project will merge the measurements performed by the relatively young space-borne lidar ALADIN/Aeolus, which has been orbiting the Earth since August 2018 and operating at 355nm wavelength with the measurements performed since 2006 by CALIPSO lidar, which is operating at 532nm and is near the end of its lifetime. Even though the primary goal of ALADIN is wind detection, its products include profiles of atmospheric optical properties (aerosols/clouds). This makes it an excellent test bed for developing an approach for building a continuous multi-lidar cloud record.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/licrec/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "LICREC", "osc:name": "LIdar Cloud REcord for Climate - LICREC", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "Sorbonne Universita", "role": "consortium_member" }, { "name": "SU (FR)", "role": "consortium_member" } ], "start_datetime": "2022-06-04T00:00:00Z", "end_datetime": "2024-04-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-06-04T00:00:00Z", "2024-04-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/livas/000077500000000000000000000000001517436701200320775ustar00rootroot00000000000000collection.json000066400000000000000000000027451517436701200350560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/livas{ "type": "Collection", "id": "livas", "stac_version": "1.0.0", "description": "Lidar Climatology of Vertical Aerosol Structure for Space-based Lidar Simulation Studies", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://lrsu.physics.ntua.gr/en/content/esa-livas", "title": "Website" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "LIVAS", "osc:name": "Lidar Climatology of Vertical Aerosol Structure for Space-Based Lidar Simulation Studies-LIVAS", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "NATIONAL OBSERVATORY OF ATHENS (GR)", "role": "consortium_member" } ], "start_datetime": "2011-01-01T00:00:00Z", "end_datetime": "2013-12-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2011-01-01T00:00:00Z", "2013-12-31T23:59:59Z" ] ] } }, "license": "proprietary" }lpf-arcticsummit/000077500000000000000000000000001517436701200341655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000035131517436701200372150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-arcticsummit{ "type": "Collection", "id": "lpf-arcticsummit", "stac_version": "1.0.0", "description": "Using new techniques to measure pan-Arctic sea ice thickness from the satellite radar altimeter Cryosat-2 during summer months", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/arcticsummit-arctic-summer-ice-thickness/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/arcticsummit-arctic-summer-ice-thickness/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "(LPF) ArcticSummIT", "osc:name": "ArcticSummIT: Arctic Summer Ice Thickness", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Anca Anghelea", "role": "technical_officer", "emails": [ { "value": "anca.anghelea@esa.int" } ] }, { "name": "UNIVERSITY OF BRISTOL (GB)", "role": "consortium_member" } ], "start_datetime": "2018-10-16T00:00:00Z", "end_datetime": "2020-10-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-10-16T00:00:00Z", "2020-10-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-cassis/000077500000000000000000000000001517436701200330255ustar00rootroot00000000000000collection.json000066400000000000000000000040051517436701200357730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-cassis{ "type": "Collection", "id": "lpf-cassis", "stac_version": "1.0.0", "description": "This project aims to demonstrate: the use of radar echo processing methods (also called retrackers) based on physical models instead of current heuristic models; the use of new snow depth observation products (dual frequency altimetry, Advanced Microwave Scanning Radiometer, AMSR); a better quantification of uncertainties in sea ice products.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/cassis/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/cassis/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "(LPF) CASSIS", "osc:name": "CASSIS (Climate Altimetric Studies with Sea Ice and Snow)", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)", "role": "consortium_member" } ], "start_datetime": "2020-01-11T00:00:00Z", "end_datetime": "2022-10-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-01-11T00:00:00Z", "2022-10-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-eocytes/000077500000000000000000000000001517436701200332135ustar00rootroot00000000000000collection.json000066400000000000000000000042551517436701200361700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-eocytes{ "type": "Collection", "id": "lpf-eocytes", "stac_version": "1.0.0", "description": "Analyse satellite datasets of O3, and vegetation indices and use the JULES land surface model to assess how short:term and long-term O3 exposure decreases the terrestrial carbon sink and crop yields, particularly near megacities where emissions of O3 precursors are most concentrated", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/eocytes-evaluation-of-the-effect-of-ozone-on-crop-yields-and-the-terrestrial-carbon-pool-using-satellite-data/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/eocytes-evaluation-of-the-effect-of-ozone-on-crop-yields-and-the-terrestrial-carbon-pool-using-satellite-data/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "(LPF) EOCYTES", "osc:name": "EOCYTES: Evaluation of the effect of Ozone on Crop Yields and the TErrestrial carbon pool using Satellite data", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "UNIVERSITY OF LEICESTER (GB)", "role": "consortium_member" } ], "start_datetime": "2018-10-17T00:00:00Z", "end_datetime": "2020-10-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-10-17T00:00:00Z", "2020-10-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-germane/000077500000000000000000000000001517436701200331565ustar00rootroot00000000000000collection.json000066400000000000000000000070151517436701200361300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-germane{ "type": "Collection", "id": "lpf-germane", "stac_version": "1.0.0", "description": "Within this project we intend to analyse ground deformation hazards induced by meteorological changes and seismotectonic conditions in eastern Belgium, western Germany and the south-eastern Netherlands. Thus, its outcomes should also be of interest for the ongoing Interreg project Einstein Telescope EMR Site & Technology (E-TEST). Focus is on the differentiation of weather-induced and seismotectonically influenced Earth surface processes in the E-Test area where human-induced groundwater level changes are also observed. The regional aspect of ground deformation in the E-Test area would be approached by Synthetic Aperture Radar Interferometry (InSAR) processing. Detailed analyses will be performed along the numerous faults crossing the E-Test area. Differential ground deformation across fault structures should, however, be quite small, probably of the amount of a few millimetres. Such small displacements require extremely precise surveying, using InSAR studies supported by the installation of fixed corner reflectors. Also, repeated very high resolution (VHR) image and digital elevation model (DEM) will be collected using Unmanned Aerial Vehicles covering the whole potentially subsiding area is necessary (supported by ground-based measurements). In parallel, geodetic monitoring using Global Navigation Satellite System (GNSS) measurements on benchmarks as well as Essential Climate Variables (ECVs) monitoring to determine the meteorological conditions when increase of ground deformation observed. The project also aims to develop a permanent monitoring system which would last after the duration of the project. Finally, we will develop models allowing us to manage and visualise (also in Extended Reality environments) the slow ground movements measured by remote sensing.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.csl.uliege.be/cms/c_10329127/en/csl-signal-processing-lab", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/germane/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "(LPF) GERMANE", "osc:name": "Ground Deformation from Meteorological, Seismic and Anthropogenic Changes Analysed by Remote Sensing, Geomatic Experiments and Extended Reality - GERMANE", "osc:status": "ongoing", "osc:themes": [ "Solid Earth" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "UNIVERSITY OF LIEGE (BE)", "role": "consortium_member" } ], "start_datetime": "2023-01-18T00:00:00Z", "end_datetime": "2024-02-20T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2023-01-18T00:00:00Z", "2024-02-20T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-griml/000077500000000000000000000000001517436701200326525ustar00rootroot00000000000000collection.json000066400000000000000000000073661517436701200356350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-griml{ "type": "Collection", "id": "lpf-griml", "stac_version": "1.0.0", "description": "Living Planet Fellowship research project carried out by Penelope How. Sea level is predicted to rise drastically by 2100, with significant contribution from the melting of the Greenland Ice Sheet. In these predictions, melt runoff is assumed to contribute directly to sea level change, with little consideration for meltwater storage at the terrestrial margin of the ice sheet. In 2017, 3347 ice marginal lakes were identified in Greenland along the ice margin. Globally, these ice marginal lakes hold up to 0.43 mm of sea level equivalent, which could have a marked impact on future predictions. Therefore, they need to be monitored to understand how changes in ice marginal lake water storage affect melt contribution, and how their dynamics evolve under a changing climate.Currently, there are large challenges in using remote sensing techniques to classify and monitor ice marginal lakes over large regions. Reliance on a single sensor/product (e.g. SAR imagery, optical imagery, DEM products) or detection method (e.g. backscatter classification, spectral indices classification, sink detection) has proven to reduce the accuracy of lake classification, leading to underestimations and false trends. This emphasises the importance of using compound approaches, which is now achievable with the ever-growing use of online cloud processing.GrIML proposes to examine ice marginal lake changes across Greenland using a multi-sensor and multi-method remote sensing approach to better address their influence on sea level contribution forecasting. Firstly, Greenland-wide inventories of ice marginal lakes will be generated for selected years during the satellite era, building upon established classification methods in a unified cloud processing workflow. Secondly, detailed time-series analysis will be conducted on chosen ice marginal lakes to assess changes in their flooding dynamics; focusing on lakes with societal and scientific importance. The findings from this work will be validated againstin-situ observations, namely discharge peaks from downstream outlets, surface turbidity measurements, and terrestrial time-lapse images, to evaluate whether the remote sensing workflow adequately captures ice marginal lake dynamics.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/griml/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "(LPF) GRIML", "osc:name": "Examining GReenland s Ice Marginal Lakes under a changing climate (GRIML)", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "GEOLOGICAL SURVEY OF DENMARK AND GREENLAND (DK)", "role": "consortium_member" } ], "start_datetime": "2021-10-11T00:00:00Z", "end_datetime": "2023-11-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-10-11T00:00:00Z", "2023-11-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-iceflow/000077500000000000000000000000001517436701200331705ustar00rootroot00000000000000collection.json000066400000000000000000000035051517436701200361420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/lpf-iceflow{ "type": "Collection", "id": "lpf-iceflow", "stac_version": "1.0.0", "description": "Advancing from fragmented snow and ice velocity snapshots to coherent, large scale glacier velocity 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The specific objective of the Sea Application project is to improve the characterisation, quantification and monitoring of land based pollution in the Mediterranean coastal waters by optimizing the use of the Sentinel missions and other relevant space and in-situ datasets to develop multi mission high resolution gap-free maps of water quality parameters (e.g. Chl a, turbidity, TSM, nutrients, bacteriological concentration) and added value innovative products (e.g. river plumes contour) over the period 2015-present.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://medeos.deimos.pt/", "title": "Website" }, { "rel": "via", "href": "MedEOS - Mediterranean coastal water monitoring - eo science for society (esa.int)", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "MedEOS", "osc:name": "Mediterranean Sea Regional Initiative - Land-based pollution", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "Deimos Engineering and Systems (ES)", "role": "consortium_member" }, { "name": "CERTH CENTRE FOR RESEARCH & TECHN (GR)", "role": "consortium_member" }, { "name": "Deimos Engenharia (PT)", "role": "consortium_member" }, { "name": "I:SEA (FR)", "role": "consortium_member" }, { "name": "Murmuration (FR)", "role": "consortium_member" }, { "name": "SUEZ EAU FRANCE SAS (FR)", "role": "consortium_member" }, { "name": "TELESPAZIO FRANCE (FR)", "role": "consortium_member" }, { "name": "kartECO: Environmental and Energy (GR)", "role": "consortium_member" } ], "start_datetime": "2021-09-03T00:00:00Z", "end_datetime": "2023-09-03T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-09-03T00:00:00Z", "2023-09-03T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/meteolakes/000077500000000000000000000000001517436701200331125ustar00rootroot00000000000000collection.json000066400000000000000000000044371517436701200360710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/meteolakes{ "type": "Collection", "id": "meteolakes", "stac_version": "1.0.0", "description": "Development and validation of inland water circulation models coupled with remote sensing data to better understand the processes involved in these water bodies. 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The dominant source of global warming is the increase of anthropogenic greenhouse gases in the Earth`s atmosphere. atmosphere. The two most important of those species are carbon dioxide (CO2) and methane (CH4). Together they account for ~82% of the anthropogenic radiative forcing. However, uncertainties in our knowledge of the budgets of these gases, which are determined by their sources and sinks, as well as inadequately understood feedback mechanisms, limit the accuracy of current climate change projections from the local to the global scale. To reliably predict the climate of our planet, and to guide political conventions on greenhouse gas avoidance, adequate knowledge of the sources and sinks of these greenhouse gases, their feedbacks, and the quantification of natural versus anthropogenic fluxes is mandatory. Wetland emissions of methane constitute the largest single source of methane to the atmosphere, even when considering all anthropogenic emissions, and are the most uncertain part of the budget. After the tropics, the largest distribution of wetlands is in the Arctic. The Arctic is warming twice as fast as compared to the global average, making climate changess polar effects more intense than anywhere else in the world. The Arctic accounts for nearly 50% of all organic carbon stored in the planetss soil but rising temperatures and thawing permafrost threatens its stability. The main objectives and tasks of MethaneCAMP are to: Collaborate and coordinate with the AMPAC (Artic Methane and Permafrost Challenge) initiative and forming AMPAC network aiming to contribute to bottom:up and top-down estimates of changes in methane emissions in the Arctic. Prepare a high-latitude-focused assessment of current atmospheric CH4 retrievals from medium spatial resolution and high spatial resolution instruments. Identify the improvement potential for high-latitude retrievals of CH4, test and validate these improvements and synthesize the potential of joint strategies. Analyse the changes in the Arctic CH4 with specific focus on i) quantifying longer:term trends, ii) identifying hot spots directly from observations, and iii) studying the apportionment between biogenic and anthropogenic CH4 sources by employing multi-scale Arctic CH4 observations in inverse modelling.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/methanecamp/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "MethaneCAMP", "osc:name": "MethaneCAMP", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "FINNISH METEOROLOGICAL INSTITUTE (FI)", "role": "consortium_member" } ], "start_datetime": "2022-11-01T00:00:00Z", "end_datetime": "2024-02-07T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-11-01T00:00:00Z", "2024-02-07T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/metheo/000077500000000000000000000000001517436701200322425ustar00rootroot00000000000000collection.json000066400000000000000000000036611517436701200352170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/metheo{ "type": "Collection", "id": "metheo", "stac_version": "1.0.0", "description": "Methane emissions in the Northern Hemisphere by applying both data from Earth Observing (EO) satellites and global atmospheric methane inversion model estimates", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/metheo/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/metheo/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "MethEO", "osc:name": "Methane emissions in the Northern Hemisphere by applying both data from Earth Observing (EO) satellites and global atmospheric methane inversion model estimates", "osc:status": "completed", "osc:themes": [ "Atmosphere", "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "FINNISH METEOROLOGICAL INSTITUTE (FI)", "role": "consortium_member" } ], "start_datetime": "2018-05-09T00:00:00Z", "end_datetime": "2022-01-04T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-05-09T00:00:00Z", "2022-01-04T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/mit3d/000077500000000000000000000000001517436701200320015ustar00rootroot00000000000000collection.json000066400000000000000000000064761517436701200347650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/mit3d{ "type": "Collection", "id": "mit3d", "stac_version": "1.0.0", "description": "Operational retrievals of trace gas column amounts assume (near) cloud free conditions. 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Identify associations between TROPOMI-S5P NO2 and Suomi NPP Visible Infrared Imaging Radiometer Suite (VIIRS) products using maximal information-based nonparametrix exploration statistics. Improve standard 1D NO2 cloud correction. The MIT3D activity thus aims to reduce errors due to the impact of 3D clouds. The achievement of the main objectives will be demonstrated by analysis of cloud affected synthetic and real TROPOMI S5P data and the quantitative comparison of the MIT3D improved NO2 cloud correction and the standard NO2 cloud correction.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/mit3d/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "MIT3D", "osc:name": "Understand and mitigate impacts of 3D clouds on UV-VIS NO2 trace gas retrievals by AI exploration of synthetic and real data (MIT3D)", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "NILU NORWEGIAN INSTITUTE FOR AIR RESEARCH (NO)BELGIAN INSTITUTE OF SPACE AERONOMY (BIRA IASB) (BE)", "role": "consortium_member" }, { "name": "LUDWIG:MAXIMILIAN UNIVERSITAT MUNCHEN (DE)", "role": "consortium_member" } ], "start_datetime": "2022-03-16T00:00:00Z", "end_datetime": "2025-01-04T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-03-16T00:00:00Z", "2025-01-04T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/moheacan/000077500000000000000000000000001517436701200325345ustar00rootroot00000000000000collection.json000066400000000000000000000035201517436701200355030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/moheacan{ "type": "Collection", "id": "moheacan", "stac_version": "1.0.0", "description": "Altimetry-gravimetry approach to estimate Earth Energy Imbalance", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/moheacan/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/moheacan/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "MOHeaCAN", "osc:name": "MOHeaCAN: Monitoring Ocean Heat Content and Earth Energy ImbalANce from Space", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Jerome Benveniste", "role": "technical_officer", "emails": [ { "value": "jerome.benveniste@esa.int" } ] }, { "name": "MAGELLIUM (FR)", "role": "consortium_member" }, { "name": "CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)", "role": "consortium_member" } ], "start_datetime": "2019-12-18T00:00:00Z", "end_datetime": "2021-01-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-12-18T00:00:00Z", "2021-01-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/noodlesalad/000077500000000000000000000000001517436701200332465ustar00rootroot00000000000000collection.json000066400000000000000000000056541517436701200362270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/noodlesalad{ "type": "Collection", "id": "noodlesalad", "stac_version": "1.0.0", "description": "NOODLESALAD aims to develop computational methods for improving the satellite-based air quality estimates. More specific, it will concentrate on improving the air quality key indicator PM2.5, which is the dry mass concentration of fine particulate matter with an aerodynamic diameter of less than 2.5 micrometers (micrograms per cubic meter of air). This activity will be developing a novel artificial intelligence approach for retrieving PM2.5 from earth observation data. The innovative strategy will be based on machine learning post-process correction that we recently developed. The novel approach will utilize an innovative fusion of Sentinel-3 satellite data, simulation model information, ground-based observations, traditional satellite retrieval techniques, and machine learning to produce satellite-based PM2.5. In this development work, data from the year 2019 will be used and select Central Europe as region of interest. The project will produce and validate PM2.5 estimates with a high spatial resolution of 300 meters for the Sentinel-3 satellites overpasses. In addition, this prototype approach will be used to create high temporal resolution air quality datasets for 5-10 European cities. Finally, the PM2.5 datasets produced will be publicly shared together with an open-source code package for Sentinel-3 PM2.5 retrieval.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/noodlesalad/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "NOODLESALAD", "osc:name": "NOvel cOmputational methoDs for reLiablE SAteLlite-based Air quality Data (NOODLESALAD)", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "FINNISH METEOROLOGICAL INSTITUTE (FI)UNIVERSITY OF EASTERN FINLAND (FI)", "role": "consortium_member" } ], "start_datetime": "2022-08-04T00:00:00Z", "end_datetime": "2024-01-10T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-08-04T00:00:00Z", "2024-01-10T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ocean-extreme/000077500000000000000000000000001517436701200335155ustar00rootroot00000000000000collection.json000066400000000000000000000076411517436701200364740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ocean-extreme{ "type": "Collection", "id": "ocean-extreme", "stac_version": "1.0.0", "description": "The general objectives of this activity is to foster the scientific exploitation of EO-based products to improve the observation, understanding and prediction of extreme wind events and their interaction with the ocean and the earth system. In particular, the required activities include (1) the development, implementation and validation of new methods allowing to fully exploit and optimally combine the wind information obtained in extreme wind conditions (>35 m/s) from different spaceborne sensors, mainly SMOS and S-1 but also other mission data (e.g., Radarsat-2, AMSR-2, Aquarius, SMAP, CYGNSS, radar altimeters…) in order to build a long time series (at least 10 years) of global multi-mission synergy wind products in high to extreme wind conditions (>35 m/s), (2) the production of an atlas of extreme wind events collocated with measurements of the underlying ocean environment as measured from satellite sensors (Sea Surface Height, Sea Surface Temperature, Ocean Colour, Sea Surface Salinity, Wave height) or from auxiliary datasets from in-situ and/or models (ex. Mixed Layer Depth), (3) the exploitation of this reference database to foster new scientific results on how extreme wind events impact the ocean in term of ocean physics, ocean biology and air:sea fluxes, including feedback processes, and how this impacts major Earth System cycles from synoptic to interannual and decadal time scales and (4) the exploitation of this reference database to support the operational user community.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/oceanextreme/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/oceanextreme/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "OCEAN+EXTREME", "osc:name": "OCEAN+EXTREME", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "IFREMER (FR)", "role": "consortium_member" }, { "name": "AGENCIA ESTATAL CONSEJO SUPERIOR DE (ES)", "role": "consortium_member" }, { "name": "CLS COLLECTE LOCALISATION SATELLITES (FR)", "role": "consortium_member" }, { "name": "DEIMOS SPACE UK LTD (GB)", "role": "consortium_member" }, { "name": "IEEC Institut de studis Espacials (ES)", "role": "consortium_member" }, { "name": "KNMI (NL)", "role": "consortium_member" }, { "name": "NANSEN ENVIRONMENTAL AND REMOTE SENSING CENTER (NO)", "role": "consortium_member" }, { "name": "OCEANDATALAB (FR)", "role": "consortium_member" }, { "name": "UNIVERSITY OF EXETER (GB)", "role": "consortium_member" }, { "name": "Verisk Analytics GmbH (DE)", "role": "consortium_member" } ], "start_datetime": "2020-10-30T00:00:00Z", "end_datetime": "2022-01-12T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-10-30T00:00:00Z", "2022-01-12T23:59:59Z" ] ] } }, "license": "proprietary" }ocean-health-oa/000077500000000000000000000000001517436701200336275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000047541517436701200366670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ocean-health-oa{ "type": "Collection", "id": "ocean-health-oa", "stac_version": "1.0.0", "description": "This activity makes part of the ESA Ocean Science Cluster and contributes to the joint EC-ESA Earth System Science Initiative launched in February 2020 by the European Space Agency and the European Commission (EC) Directorate:General for Research and Innovation (DG RTD) to jointly advance Earth System Science and its response to the global challenges that society is facing in the onset of this century. In particular, this activity is a contribution to the EC-ESA Flagship Action on Ocean Health aimed at developing advanced ocean observations and products and enhancing the scientific understanding of the ocean s role in the Earth and climate system and its responses to management actions to contribute to reverse the cycle of decline in ocean health and improve conditions for sustainable development of the Ocean.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Ocean-Health-OA", "osc:name": "Ocean-Health-Ocean Acidification", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "University of Exeter (UK)", "role": "consortium_member" }, { "name": "PML (UK)", "role": "consortium_member" }, { "name": "ETHZ (SW)", "role": "consortium_member" }, { "name": "Ifremer (FR)", "role": "consortium_member" }, { "name": "OceanDataLab (FR)", "role": "consortium_member" } ], "start_datetime": "2022-01-02T00:00:00Z", "end_datetime": "2024-01-02T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-01-02T00:00:00Z", "2024-01-02T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/oceansoda/000077500000000000000000000000001517436701200327155ustar00rootroot00000000000000collection.json000066400000000000000000000060161517436701200356670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/oceansoda{ "type": "Collection", "id": "oceansoda", "stac_version": "1.0.0", "description": "The Satellite Oceanographic Datasets for Acidification (OceanSODA) project will further develop the use of satellite Earth Observation for studying and monitoring marine carbonate chemistry. Besides further developments of algorithms linking satellite variables with marine carbonate system parameters and the associated validation, a distinct focus will be on selected scientific studies and downstream impact assessment. This will include characterising and analysing how upwelling (of low pH waters) and compound events impact the carbonate system, and characterising the flow and impact on marine ecosystems of low pH waters from large river systems. The project will also work closely with the World Wide Fund for Nature (WWF), the U.S. National Oceanic and Atmospheric Administration (NOAA) and The Ocean Foundation, to support their work on coral reef conservation, the designation of marine protected areas and investigation of wild fisheries health and sustainable management.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://esa-oceansoda.org/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/satellite-oceanographic-datasets-for-acidification-oceansoda/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "OceanSODA", "osc:name": "Satellite Oceanographic Datasets for Acidification (OceanSODA)", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Diego Fernandez", "role": "technical_officer", "emails": [ { "value": "diego.fernandez@esa.int" } ] }, { "name": "UNIVERSITY OF EXETER (GB)", "role": "consortium_member" }, { "name": "EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZURICH (ETH ZURICH) (CH)", "role": "consortium_member" }, { "name": "IFREMER (FR)", "role": "consortium_member" }, { "name": "NERC", "role": "consortium_member" }, { "name": "PLYMOUTH MARINE LABORATORY (GB)", "role": "consortium_member" } ], "start_datetime": "2018-11-22T00:00:00Z", "end_datetime": "2020-12-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-11-22T00:00:00Z", "2020-12-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/opa/000077500000000000000000000000001517436701200315405ustar00rootroot00000000000000collection.json000066400000000000000000000067221517436701200345160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/opa{ "type": "Collection", "id": "opa", "stac_version": "1.0.0", "description": "LuftBlick Earth Observation Technologies (LuftBlick) and the Royal Belgian Institute for Space Aeronomy (BIRA) propose to develop a novel algorithm to derive ozone profiles from measurements of ground-based passive remote sensing instruments. These are the highlights of our proposed activity: The novel algorithm distinguishes itself in several ways from existing approaches:It uses MAX-DOAS sky observations combined with direct sun measurements;It relies on absolute slant columns instead of relative ones; It combines results from UV and VIS spectral regions (Huggins and Chappuis ozone bands respectively) to make use of their different path lengths; It adds the retrieved effective ozone temperature to the input; It analyses entire days as a whole instead of single measurement sequences; It includes temperature profiles from re-analysis to be used in combination with the retrieve effective ozone temperatures. Once validated and made operational, the novel algorithm can be applied to new and existing datasets such as from the Pandonia Global Network (PGN). By this it would be an extremely valuable contribution to our knowledge of tropospheric ozone with direct impact to air quality, tropospheric chemistry and satellite validation. Having a working operational technique to derive TropO3 information from ground-based passive remote sensing measurements would increase our knowledge about TropO3 substantially at hardly any additional cost. Pandoras (or other MAX-DOAS instruments) are distributed in existing networks, e.g. the Pandona Global Network (PGN) with >100 locations around the world and are most often already performing the types of measurements which we plan to use for the algorithm we propose to develop. Hence a working ozone profile algorithm can be applied to these observations as well as on additional worldwide data sets which extend several years into the past.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/opa/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "OPA", "osc:name": "High information content ozone profile algorithm for ground-based passive remote sensing instruments (OPA)", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "LUFTBLICK OG (AT)BELGIAN INSTITUTE OF SPACE AERONOMY (BIRA:IASB) (BE)", "role": "consortium_member" } ], "start_datetime": "2022-01-14T00:00:00Z", "end_datetime": "2024-03-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-01-14T00:00:00Z", "2024-03-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/opensr/000077500000000000000000000000001517436701200322675ustar00rootroot00000000000000collection.json000066400000000000000000000063721517436701200352460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/opensr{ "type": "Collection", "id": "opensr", "stac_version": "1.0.0", "description": "The project aims to bring robust, accountable, and scalable multi-spectral super-resolution techniques to the Earth Observation (EO) community for the ubiquitous L2 and L3 pre-processing of the Sentinel-2 (S2) revisits archive. Super-resolution (SR) is a nascent technology and the roadmap to maturity will require insights from many disciplines. Super-resolution is not just about image generation, but also degradation: how much is lost in pixelation. To shift the public perception on the safety of SR-S2 products, the project will provide uncertainty and quality metrics along with the SR products; establish and disseminate best practices through new methods and tools that will be open to everyone. The project will push the boundaries of excellence science and technological development of SR in remote sensing, by creating a set of tools, platform, and guidelines- Tools of state-of-the-art SR, Explainable AI (xAI), saliency and information metrics. An open WebGIS platform that goes beyond standard solutions by working directly on Analysis Ready Data stored in a datacube. The platform will bring SR S2 data at the fingertips of users, allow for interactive data exploration, analysis and combination of SR S2 and other data, and even on-the-fly execution of xAI models on S2 data. It will provide access to the data from a number of use cases illustrating different real-world problems and showcasing how applications benefit from the combined action of SR and xAI, and their limits. A set of guidelines and best practices that summarize an accountable and reproducible SR pipeline for successful applications.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/opensr/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "OpenSR", "osc:name": "Explainable AI: application to trustworthy super-resolution (OpenSR) ", "osc:status": "ongoing", "osc:themes": [ "Land", "Oceans", "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Nicolas Longepe", "role": "technical_officer", "emails": [ { "value": "nicolas.longepe@esa.int" } ] }, { "name": "UNIVERSITY OF OXFORD (GB)BROCKMANN CONSULT GMBH (DE)", "role": "consortium_member" }, { "name": "UNIV VALENCIA (ES)", "role": "consortium_member" } ], "start_datetime": "2022-02-01T00:00:00Z", "end_datetime": "2023-12-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-02-01T00:00:00Z", "2023-12-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/oregano/000077500000000000000000000000001517436701200324135ustar00rootroot00000000000000collection.json000066400000000000000000000074411517436701200353700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/oregano{ "type": "Collection", "id": "oregano", "stac_version": "1.0.0", "description": "Stratospheric ozone (the ozone layer) protects the biosphere from harmful UltraViolet (UV) radiation. Ozone (O3) is expected to recover as a consequence of the Montreal Protocol signed in 1987 and its Amendments regulating the phase:out of ozone-depleting substances (ODS). The stratospheric halogen amount (mainly bromine and chlorine) released by ODSs reached its maximum abundance in the middle of the 1990s. Observations from satellites and the ground confirmed that the long-term decline of stratospheric ozone was successfully stopped. Future, stratospheric ozone levels do not only depend on changes in ODS but also on changes in greenhouse gases (GHG) and possibly stratospheric aerosols. The latter modifies both ozone chemistry and dynamics (transport, circulation) of ozone. The rate of ozone recovery thus depends on the geographic region and altitude. In some altitude domains like the lower tropical stratosphere, ozone will likely continue to decline according to the majority of chemistry:climate models. At middle latitudes, the current trends in lower stratospheric ozone remain highly uncertain in part due to larger uncertainties in observational data and larger year-to-year variability in ozone. The major goal of the OREGANO project is to advance our understanding of ozone recovery using a combination of observations and model analyses. The study topics in this project are: long-term ozone column and profile trends from models and observations; Impact of atmospheric dynamics and chemistry on polar and extrapolar ozone; Role of tropospheric ozone in column ozone trends; Evaluation of the bromine monoxide chlorine monoxide (BrO:ClO) cycle using nadir BrO and chlorine dioxide (OClO) observations; Impact of aerosol and GHG changes on stratospheric ozone trends (past and future). Recommendations for future satellite missions and programs shall be made following the results of this study in support of continued ozone monitoring.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.iup.uni-bremen.de/OREGANO/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/oregano/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "OREGANO", "osc:name": "Ozone Recovery from Merged Observational Data and Model Analysis (OREGANO)", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "UNIVERSITY OF BREMEN (DE)FINNISH METEOROLOGICAL INSTITUTE (FI)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LEEDS", "role": "consortium_member" }, { "name": "SCHOOL OF EARTH AND ENVIRONMENT (GB)", "role": "consortium_member" } ], "start_datetime": "2022-11-29T00:00:00Z", "end_datetime": "2024-12-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-11-29T00:00:00Z", "2024-12-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/pass-swio/000077500000000000000000000000001517436701200327065ustar00rootroot00000000000000collection.json000066400000000000000000000064001517436701200356550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/pass-swio{ "type": "Collection", "id": "pass-swio", "stac_version": "1.0.0", "description": "PASS-SWIO, a project funded by ESA (via the Permanent Open Call), aims to establish a sea level monitoring system for Madagascar based on the installation and deployment of a low-cost relocatable tide gauge (Portagauge). Portagauge uses GNSS interferometric reflectometry (GNSS-IR) technology alongside a conventional radar. By combining these measurements with the analysis of satellite altimeter sea level data we will provide validation and wider scale knowledge of sea-level variability. Madagascar has very limited tidal prediction, primarily based on model data. It has no national sea level monitoring capability. There is currently only one functioning tide gauge station. A previous tide gauge, in the cyclone-prone north of the island, was destroyed several years ago. The project partners will work with the national Madagascar Meteorological Agency (DGM-Direction Generale de la Meteorologie). DGM will take responsibility for the local maintenance and operation of the Portagauge. They will also receive training to carry out the data processing and analysis of tide gauge and satellite altimeter data. Discussions will be held with key stakeholders to review the project and agree a long-term Road Map for the sustainable implementation of a national sea-level monitoring system for Madagascar. This will serve as model for other island states and coastal countries in the South West Indian Ocean (SWIO) region and beyond. If you would like to access any of the data sets produced, please contact the Project Manager via the Project website. The Kick Off meeting was held on 5 May 2022. The activity has a duration of one year.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.satoc.eu/projects/pass-swio/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/pass-swio/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "PASS-SWIO", "osc:name": "PASS-SWIO", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Jerome Benveniste", "role": "technical_officer", "emails": [ { "value": "jerome.benveniste@esa.int" } ] }, { "name": "National Oceanography Centre (NOC) (GB)SATELLITE OCEANOGRAPHIC CONSULTANTS LTD. (GB)", "role": "consortium_member" } ], "start_datetime": "2022-11-21T00:00:00Z", "end_datetime": "2024-12-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-11-21T00:00:00Z", "2024-12-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/phab-iv/000077500000000000000000000000001517436701200323075ustar00rootroot00000000000000collection.json000066400000000000000000000041171517436701200352610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/phab-iv{ "type": "Collection", "id": "phab-iv", "stac_version": "1.0.0", "description": "Develop the technical basis for an advanced Sentinel-1 Ice Velocity (IV) product for ice sheets and ice caps with improved spatial resolution and accuracy, based on Sentinel-1 interferometric phase measurements", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/phab-iv/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/phab-iv/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "PHAB-IV", "osc:name": "PHAB-IV: PHAse-Based sentinel-1 Ice Velocity", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Marcus Engdahl", "role": "technical_officer", "emails": [ { "value": "marcus.engdahl@esa.int" } ] }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" }, { "name": "ENVEO ENVIRONMENTAL EARTH OBSERVATION INFORMATION TECHNOLOGY GMBH (AT)", "role": "consortium_member" }, { "name": "GEOLOGICAL SURVEY OF DENMARK AND GREENLAND (DK)", "role": "consortium_member" } ], "start_datetime": "2019-12-20T00:00:00Z", "end_datetime": "2021-02-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-12-20T00:00:00Z", "2021-02-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/photoproxy/000077500000000000000000000000001517436701200332145ustar00rootroot00000000000000collection.json000066400000000000000000000042211517436701200361620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/photoproxy{ "type": "Collection", "id": "photoproxy", "stac_version": "1.0.0", "description": "Quantitative assessment of vegetation photosynthesis and vegetation stress from space", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.fz-juelich.de/ibg/ibg-2/EN/Research/Projects/Photoproxy/Photoproxy%20_projekt_node.html", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/photoproxy-technical-assistance-for-the-photosynthetic-proxy-experiment/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "PHOTOPROXY", "osc:name": "PHOTOPROXY: TECHNICAL ASSISTANCE FOR THE PHOTOSYNTHETIC-PROXY EXPERIMENT", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Dirk Schuettemeyer", "role": "technical_officer", "emails": [ { "value": "dirk.schuettemeyer@esa.int" } ] }, { "name": "FORSCHUNGSZENTRUM JUELICH GMBH (DE)", "role": "consortium_member" }, { "name": "FONDAZIONE CLIMA E SOSTENIBILITA (IT)", "role": "consortium_member" }, { "name": "University Bonn : IGG (DE)", "role": "consortium_member" }, { "name": "UNIVERSITY OF ALBERTA (CA)", "role": "consortium_member" } ], "start_datetime": "2018-10-30T00:00:00Z", "end_datetime": "2020-07-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-10-30T00:00:00Z", "2020-07-31T23:59:59Z" ] ] } }, "license": "proprietary" }polar-ice-shelves/000077500000000000000000000000001517436701200342245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000055371517436701200372640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/polar-ice-shelves{ "type": "Collection", "id": "polar-ice-shelves", "stac_version": "1.0.0", "description": "The European 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These new datasets will reveal small scale ice shelf features such as the propagation of cracks along the ice shelf surface, deep sub-shelf meltwater channels that can erode ice locally by up to 200 meters, and changes in the calving front and grounding line location. These datasets will improve our understanding of the way in which ice shelves around Antarctica are changing today, which we will use to discover new insights about the physical mechanisms driving change and affecting the future stability of ice shelves in this remote and inaccessible continent.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://polar-iceshelf.org", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/polar-ice-shelf/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Polar+ Ice Shelves", "osc:name": "Polar+ Ice Shelves", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Marcus Engdahl", "role": "technical_officer", "emails": [ { "value": "marcus.engdahl@esa.int" } ] }, { "name": "University of Leeds (GB)", "role": "consortium_member" }, { "name": "DLR (DE)", "role": "consortium_member" }, { "name": "Finnish Meteorological Institute (FMI) (FI)", "role": "consortium_member" }, { "name": "ENVEO (AT)", "role": "consortium_member" }, { "name": "EarthWave (GB)", "role": "consortium_member" }, { "name": "University of Edinburgh (GB)", "role": "consortium_member" } ], "start_datetime": "2020-03-09T00:00:00Z", "end_datetime": "2022-08-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-03-09T00:00:00Z", "2022-08-31T23:59:59Z" ] ] } }, "license": "proprietary" }polar-low-detection-from-s-1-data/000077500000000000000000000000001517436701200370405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000032021517436701200420630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/polar-low-detection-from-s-1-data{ "type": "Collection", "id": "polar-low-detection-from-s-1-data", "stac_version": "1.0.0", "description": "This project aims at early detection of Polar Lows from Sentinel-1 imagery using deep learning methods. The project is reaching its end and current work is focused on finalizing documentation and publications.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/training_uploads/OceanScienceCluster2021/presentations/GRAHN-Jakob_presentation.pdf", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Polar Low detection from S-1 data", "osc:name": "Polar Low detection from S-1 data", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "NORCE (NO)", "role": "consortium_member" } ], "start_datetime": "2020-04-02T00:00:00Z", "end_datetime": "2021-02-24T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-04-02T00:00:00Z", "2021-02-24T23:59:59Z" ] ] } }, "license": "proprietary" }polar-snow-on-sea-ice/000077500000000000000000000000001517436701200347215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000047501517436701200377550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/polar-snow-on-sea-ice{ "type": "Collection", "id": "polar-snow-on-sea-ice", "stac_version": "1.0.0", "description": "Develop and validate different approaches to retrieve snow thickness over the sea ice, to develop a new prototype processor, and to produce and validate an experimental dataset of snow thickness over the Arctic.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/polar-snow-on-sea-ice/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/polar-snow-on-sea-ice/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "Polar+ Snow on Sea ice", "osc:name": "Polar+ Snow on Sea ice", "osc:status": "ongoing", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Jerome Bouffard", "role": "technical_officer", "emails": [ { "value": "jerome.bouffard@esa.int" } ] }, { "name": "MULLARD SPACE SCIENCE LABORATORY UNIVERSITY COLLEGE LONDON (GB)", "role": "consortium_member" }, { "name": "ALFRED WEGENER INSTITUTE (DE)", "role": "consortium_member" }, { "name": "CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)", "role": "consortium_member" }, { "name": "FINNISH METEOROLOGICAL INSTITUTE (FI)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LEEDS", "role": "consortium_member" }, { "name": "SCHOOL OF EARTH AND ENVIRONMENT (GB)", "role": "consortium_member" }, { "name": "UNIVERSITY OF TROMSON (NO)", "role": "consortium_member" } ], "start_datetime": "2020-07-10T00:00:00Z", "end_datetime": "2022-01-11T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-07-10T00:00:00Z", "2022-01-11T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/poseidon/000077500000000000000000000000001517436701200326015ustar00rootroot00000000000000collection.json000066400000000000000000000073421517436701200355560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/poseidon{ "type": "Collection", "id": "poseidon", "stac_version": "1.0.0", "description": "POSEIDON aims to understand the response of ocean ecosystems to climate warming and extreme events (e.g., marine heatwaves). long-term trends (> 23 years) in phytoplankton ecological indicators (biomass, size structure and phenology) will be analysed in different regions, encompassing a range of conditions found in the global oceans. POSEIDON will further investigate the spatiotemporal variability of these indicators under oceanic warming, and examine links between phytoplankton, climate and fisheries. POSEIDON will employ a novel, multidisciplinary approach by integrating contemporary oceanographic datasets, including satellite remote sensing observations, in situ cruise data and Biogeochemical Argo (BGC-Argo) floats. Specific research objectives include: Use a combination of remotely-sensed and available in situ datasets to regionally-tune and validate existing algorithms for computing phytoplankton ecological indicators (biomass, phenology and size structure) in several case study regions of the global oceans. Apply a marine heatwave detection algorithm on long-term SST data (ESA SST-CCI) and construct an atlas that describes the spatiotemporal distribution of extreme heating events (marine heatwaves [MHWs]) within the regions of interest. Utilise remotely:sensed datasets to investigate the response of ecological indicators in identified MHW hotspots. Elucidate the impacts of climate change on ecosystem structure through a combination of statistical analysis and metabolic theory (e.g., biomass size spectrum modelling) that describe relationships between phytoplankton indicators and the biomass of pelagic fish species. POSEIDON will contribute to advances in Earth system science by addressing some of the major impacts associated with climate change, as outlined by the IPCC and ESA EO Science Strategy. The project will also exploit ESA EO-based missions (CCI, Sentinel-3), as well as deliverables from other ESA-funded projects (BICEP, ESA-S5POC), to deliver a more complete understanding of the impacts of climate change over several areas of the global oceans, providing knowledge for the responsible management of ecosystem services, including phytoplankton production and fisheries.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/poseidon/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "POSEIDON", "osc:name": "Phytoplankton and fisheries under regional warming in the global oceans - POSEIDON", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "NATIONAL AND KAPODISTRIAN UNIVERSIT (GR)", "role": "consortium_member" } ], "start_datetime": "2022-11-22T00:00:00Z", "end_datetime": "2024-12-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-11-22T00:00:00Z", "2024-12-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/pre-melt/000077500000000000000000000000001517436701200325065ustar00rootroot00000000000000collection.json000066400000000000000000000034601517436701200354600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/pre-melt{ "type": "Collection", "id": "pre-melt", "stac_version": "1.0.0", "description": "The project will deliver the first measurements of Arctic sea ice thickness during summer months, from twin satellites- ESA s CryoSat-2 & NASA s ICESat-2. Research linked to LPF project ArcticSummIT (https://eo4society.esa.int/projects/arcticsummit-arctic-summer-ice-thickness/)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gtr.ukri.org/projects?ref=NE%2FT000546%2F1#/tabOverview", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/arcticsummit-arctic-summer-ice-thickness/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "PRE-MELT", "osc:name": "PRE-MELT: Preconditioning the trigger for rapid Arctic ice melt", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "University of Bristo (UK)", "role": "consortium_member" } ], "start_datetime": "2019-01-12T00:00:00Z", "end_datetime": "2022-01-05T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-01-12T00:00:00Z", "2022-01-05T23:59:59Z" ] ] } }, "license": "proprietary" }prisma-s5p-for-covid-19/000077500000000000000000000000001517436701200350175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000074151517436701200400540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/prisma-s5p-for-covid-19{ "type": "Collection", "id": "prisma-s5p-for-covid-19", "stac_version": "1.0.0", "description": "Recent climate remote study showed essential effect of COVID-19 on trace gases emissions, in particular, of NO2 and CO2. In Europe, Italy was one of the first countries to be infected by the COVID-19 virus, starting in the beginning of February 2020, and numbers soaring up to over 100,000 infections and 20,000 deaths by mid-April. Severe limitations of people movements following the lockdown determined a significant reduction of pollutants concentration mainly due to vehicular traffic (PM10, PM2.5, BC, benzene, CO, and NOx), which is visual, for example, in S5P images of NO2 distributions. The lockdown also led to an appreciable drop in SO2. Despite the significant decrease in NO2, the O3 exhibited a significant increase, probably, due to the minor NO concentration. At the same time the effect on aerosol emission and loading has not been reported yet widely in the scientific literature, although news and social media stories report spectacular cleaner air due to various lock-downs (e.g. Himalayas being visible from India for the first time in 30 years). Furthermore, a possible influence of long-term exposure to small particulate matter on COVID-19 mortality has been reported. In general, aerosol distribution is strongly spatially and temporally inhomogeneous. Therefore, to investigate COVID-19 effect on aerosol the remote sensing measurements with frequent revisiting time and fine spatial resolution may be necessary. In this project we investigate the possibility to exploit PRISMA (PRecursore IperSpettrale della Missione Applicativa, an Italian Space Agency (ASI) hyperspectral mission) fine resolution measurements together with daily S5P/TROPOMI and AERONET measurements for motoring environmental dynamics associated with COVID-19 epidemic appearance and evolution in regional scale.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/prisma/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "PRISMA+S5p for COVID-19", "osc:name": "PRISMA + S5P demonstration for COVID-19 studies", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "GRASP:SAS (FR)", "role": "consortium_member" }, { "name": "CATALYSTS GMBH (AT)", "role": "consortium_member" }, { "name": "CloudFLight (DE)", "role": "consortium_member" }, { "name": "CNR:RESEARCH INSTITUTE FOR GEO:HYDROLOGICAL PROTECTION IRPI (IT)", "role": "consortium_member" }, { "name": "Institute of BioEconomy (IBE):CNR (IT)", "role": "consortium_member" }, { "name": "KNMI (NL)", "role": "consortium_member" } ], "start_datetime": "2020-07-24T00:00:00Z", "end_datetime": "2021-06-16T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-07-24T00:00:00Z", "2021-06-16T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/promcom/000077500000000000000000000000001517436701200324355ustar00rootroot00000000000000collection.json000066400000000000000000000045331517436701200354110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/promcom{ "type": "Collection", "id": "promcom", "stac_version": "1.0.0", "description": "Production of lower tropospheric methane and carbon monoxide distributions through combined use of ESA Sentinel-5 Precursor shortwave infrared and IASI/CrIS thermal infrared satellite data", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/promcom-production-of-lower-tropospheric-methane-and-carbon-monoxide-distributions-through-combined-use-of-esa-sentinel-5-precursor-shortwave-infrared-and-iasi-cris-thermal-infrared-satellite-data/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/promcom-production-of-lower-tropospheric-methane-and-carbon-monoxide-distributions-through-combined-use-of-esa-sentinel-5-precursor-shortwave-infrared-and-iasi-cris-thermal-infrared-satellite-data/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "PROMCOM", "osc:name": "PROMCOM: Production of lower tropospheric methane and carbon monoxide distributions through combined use of ESA Sentinel-5 Precursor shortwave infrared and IASI/CrIS thermal infrared satellite data", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Diego Fernandez", "role": "technical_officer", "emails": [ { "value": "diego.fernandez@esa.int" } ] }, { "name": "UKRI Rutherford Appleton Laboratory (GB)", "role": "consortium_member" } ], "start_datetime": "2018-10-23T00:00:00Z", "end_datetime": "2020-10-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-10-23T00:00:00Z", "2020-10-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/represent/000077500000000000000000000000001517436701200327705ustar00rootroot00000000000000collection.json000066400000000000000000000114771517436701200357510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/represent{ "type": "Collection", "id": "represent", "stac_version": "1.0.0", "description": "The main objective of the Represent project is to capitalize on the potential of artificial intelligence (AI) and Earth observation (EO) by exploiting the non-supervised learning paradigms. In this context, it is essential to come up with non-supervised learning-based solutions for impactful use cases that use unlabeled EO data. Firstly, the consortium will investigate the non-supervised learning-based methods for EO, as one of project technical objective. Towards harnessing on the effectiveness of non-supervised learning and exploiting the multitude of unlabeled data, successful feature extractors will be built based on self-supervised learning-based pre-training and transfer learning from pre:trained networks. These techniques are grouped into three main categories- Self-supervised learning for uni-temporal tasks (e.g., Deep Clustering, Contrastive Learning, Bootstrap Your Own Latent, Meta:Learning), Change detection (e.g., Deep change vector analysis, Deep multi-temporal segmentation, Temporal contrastive learning), Time-series anomaly detection (e.g., LSTM based unsupervised approach, Graph neural networks based on a self-supervised approach). DLR and EPFL will use their AI4EO network and they will establish contacts with other research groups addressing similar or related thematic areas in the AI/EO/NS community. Secondly, the validation of the technical objective will be fulfilled by the consortium by defining five use cases. These use cases are focus on the challenges of EO where either labelled data are scarce or the successful application of supervised methods requires many labels that are tedious or costly to collect. The validation will be done on five use cases related to: Forest disturbance monitoring, Automated Land Cover mapping, Anomaly detection in long time series of PS-P InSAR, Cloud detection, and removal and Forest biomass estimationnFor these use cases, the required EO data will exploit the openly available Sentinel-1, Sentinel-2, and Landsat archives. The Represent EO use cases are tackling core business and scientific questions since they are tightly connected to e:GEOS and VTT core business areas and active projects (InSAR/ground motion and forestry, respectively). This is also ensuring a close link to users and stakeholders in the different sectors where the two partners are very well known. Finally, the non-supervised learning methods developed by the consortium will be evaluated based on usual quantitative performance metrics along with qualitative analyses commenting on their generalization capability and versatility on different EO cases. Each use case proposed within the project will have a user target group. For example, for the use case on forestry, VTT will use the wide community of academic and forestry users including forest owners via the Forestry TEP (F-TEP), while for the use case on anomaly detection, e-GEOS is in contact with several customers interested in the detection of anomalous points.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.asg.ed.tum.de/sipeo/news/article/kick-off-of-the-esa-project-represent/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/represent/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "RepreSent", "osc:name": "RepreSent", "osc:status": "ongoing", "osc:themes": [ "Land", "Oceans", "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Bertrand Le Saux", "role": "technical_officer", "emails": [ { "value": "bertrand.le.saux@esa.int" } ] }, { "name": "DLR : GERMAN AEROSPACE CENTER (DE)E:GEOS (IT)", "role": "consortium_member" }, { "name": "ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (CH)", "role": "consortium_member" }, { "name": "VTT TECHNICAL RESEARCH CENTRE OF FINLAND LTD (FI)", "role": "consortium_member" } ], "start_datetime": "2022-11-25T00:00:00Z", "end_datetime": "2024-12-20T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-11-25T00:00:00Z", "2024-12-20T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ridesat/000077500000000000000000000000001517436701200324145ustar00rootroot00000000000000collection.json000066400000000000000000000041101517436701200353570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/ridesat{ "type": "Collection", "id": "ridesat", "stac_version": "1.0.0", "description": "The RIDESAT Project (RIver flow monitoring and Discharge Estimation by integrating multiple SATellite data) aims at developing a new methodology for the joint exploitation of three sensors (altimeter, optical and thermal) for river flow monitoring and discharge estimation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://hydrology.irpi.cnr.it/projects/ridesat/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/ridesat/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "RIDESAT", "osc:name": "RIDESAT - RIver flow monitoring and Discharge Estimation by integrating multiple SATellite data", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Jerome Benveniste", "role": "technical_officer", "emails": [ { "value": "jerome.benveniste@esa.int" } ] }, { "name": "CNR:RESEARCH INSTITUTE FOR GEO:HYDROLOGICAL PROTECTION IRPI", "role": "consortium_member" }, { "name": "TECHNICAL UNIVERSITY OF DENMARK (DK)", "role": "consortium_member" } ], "start_datetime": "2018-11-10T00:00:00Z", "end_datetime": "2019-11-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-11-10T00:00:00Z", "2019-11-15T23:59:59Z" ] ] } }, "license": "proprietary" }s1-for-surface-soil-moisture/000077500000000000000000000000001517436701200362505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000046071517436701200413050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s1-for-surface-soil-moisture{ "type": "Collection", "id": "s1-for-surface-soil-moisture", "stac_version": "1.0.0", "description": "Develop, implement and test soil moisture retrieval methods using Sentinel-1 data. The C-band Sentinel-1 (S-1) European Radar Observatory, with its two satellites (S-1A & B), is the only operating SAR mission with monitoring capabilities, frequent revisit and large geographical coverage that will guarantee data continuity over the next decades.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/s1-for-surface-soil-moisture/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/s1-for-surface-soil-moisture/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S1 for Surface Soil Moisture", "osc:name": "Sentinel-1 for Surface Soil Moisture", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Malcolm Davidson", "role": "technical_officer", "emails": [ { "value": "malcolm.davidson@esa.int" } ] }, { "name": "CNR INSTITUTE FOR ELECTROMAGNETIC SENSING OF THE ENVIRONMENT (IREA) (IT)", "role": "consortium_member" }, { "name": "GAMMA REMOTE SENSING AG (CH)", "role": "consortium_member" }, { "name": "Institute of Geodesy and Cartography (IGiK) (PL)", "role": "consortium_member" }, { "name": "LUDWIG:MAXIMILIAN UNIVERSITAT MUNCHEN (DE)", "role": "consortium_member" } ], "start_datetime": "2016-10-20T00:00:00Z", "end_datetime": "2018-01-11T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2016-10-20T00:00:00Z", "2018-01-11T23:59:59Z" ] ] } }, "license": "proprietary" }s14science-amazonas/000077500000000000000000000000001517436701200344525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000044521517436701200375050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s14science-amazonas{ "type": "Collection", "id": "s14science-amazonas", "stac_version": "1.0.0", "description": "Develop, test and validate an operational:level multi-temporal forest Change Detection (MCD) algorithm; estimate carbon loss and gain from anthropogenic and natural land use changes (LUC) in the Amazonas based on the MCD outputs, and perform scientific analysis and interpretation of the quantified carbon gain/loss, accounting for seasonal stressors such as severe droughts or fires.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://project.gisat.cz/s14scienceAmazonas/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/s14science-amazonas/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S14SCIENCE AMAZONAS", "osc:name": "Sentinel-1 for Science: Amazonas", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Anca Anghelea", "role": "technical_officer", "emails": [ { "value": "anca.anghelea@esa.int" } ] }, { "name": "GISAT S.R.O. (CZ)", "role": "consortium_member" }, { "name": "Agresta S. Coop. 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}, { "name": "Environmental Earth Observation IT GmbH (ENVEO IT GmbH)", "role": "consortium_member" }, { "name": "Finnish Meteorological Institute (FMI)", "role": "consortium_member" }, { "name": "University of Zurich (UZH)", "role": "consortium_member" }, { "name": "Finnish Environment Institute (SYKE)", "role": "consortium_member" }, { "name": "Northern Research Institute (NORUT)", "role": "consortium_member" } ], "start_datetime": "2016-10-20T00:00:00Z", "end_datetime": "2019-01-02T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2016-10-20T00:00:00Z", "2019-01-02T23:59:59Z" ] ] } }, "license": "proprietary" 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"root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://snow.geus.dk/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/pre-operational-sentinel-3-snow-and-ice-products-sice/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S3 snow and ice products", "osc:name": "Pre-Operational Sentinel-3 snow and ice products (SICE)", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Michael Kern", "role": "technical_officer", "emails": [ { "value": "michael.kern@esa.int" } ] }, { "name": "GEOLOGICAL SURVEY OF DENMARK AND GREENLAND (DK)", "role": "consortium_member" }, { "name": "VITROCISET BELGIUM SPRL (BE)", "role": "consortium_member" } ], "start_datetime": "2018-07-08T00:00:00Z", "end_datetime": "2019-03-12T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-07-08T00:00:00Z", "2019-03-12T23:59:59Z" ] ] } }, "license": "proprietary" }s3-tandem-for-climate/000077500000000000000000000000001517436701200346755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000045771517436701200377400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s3-tandem-for-climate{ "type": "Collection", "id": "s3-tandem-for-climate", "stac_version": "1.0.0", "description": "Detailed study of the inter:satellite discrepancies, differences and uncertainties using data acquired during the Sentinel-3 Tandem phase.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://s3tandem.eu/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-3-tandem-for-climate-s3tc-expro/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S3 Tandem for Climate", "osc:name": "SENTINEL-3 TANDEM FOR CLIMATE (S3TC) EXPRO+", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Craig James Donlon", "role": "technical_officer", "emails": [ { "value": "craig.donlon@esa.int" } ] }, { "name": "ACRI:ST S.A.S. (FR)", "role": "consortium_member" }, { "name": "CLS COLLECTE LOCALISATION SATELLITES (FR)", "role": "consortium_member" }, { "name": "NATIONAL PHYSICAL LABORATORY (NPL) (GB)", "role": "consortium_member" }, { "name": "NATURAL ENVIRONMENT RESEARCH COUNCIL (GB)", "role": "consortium_member" }, { "name": "STFC RUTHERFORD APPLETON LABORATORY (GB)", "role": "consortium_member" }, { "name": "UNIVERSITY OF LEEDS", "role": "consortium_member" }, { "name": "SCHOOL OF EARTH AND ENVIRONMENT (GB)", "role": "consortium_member" } ], "start_datetime": "2018-05-28T00:00:00Z", "end_datetime": "2020-03-16T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2018-05-28T00:00:00Z", "2020-03-16T23:59:59Z" ] ] } }, "license": "proprietary" }s34science-snow/000077500000000000000000000000001517436701200336315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000040171517436701200366610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s34science-snow{ "type": "Collection", "id": "s34science-snow", "stac_version": "1.0.0", "description": "Develop, implement and validate algorithms for deriving several key snow parameters from Sentinel 3", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://snow.geus.dk/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-3-for-science-land-study-1-snow/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S34Science: Snow", "osc:name": "Sentinel-3 for Science, Land Study 1: Snow", "osc:status": "completed", "osc:themes": [ "Cryosphere", "Land" ], "osc:type": "project", "contacts": [ { "name": "Michael Kern", "role": "technical_officer", "emails": [ { "value": "michael.kern@esa.int" } ] }, { "name": "GEOLOGICAL SURVEY OF DENMARK AND GREENLAND (DK)", "role": "consortium_member" }, { "name": "BROCKMANN CONSULT GMBH (DE)", "role": "consortium_member" }, { "name": "CNRS", "role": "consortium_member" }, { "name": "DELEGATION NORMANDIE (FR)", "role": "consortium_member" } ], "start_datetime": "2016-10-11T00:00:00Z", "end_datetime": "2019-03-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2016-10-11T00:00:00Z", "2019-03-31T23:59:59Z" ] ] } }, "license": "proprietary" }s5p-inno-aod-and-brdf/000077500000000000000000000000001517436701200345665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000074001517436701200376150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-aod-and-brdf{ "type": "Collection", "id": "s5p-inno-aod-and-brdf", "stac_version": "1.0.0", "description": "The capability of Sentinel-5p for aerosol monitoring is currently not used to its full potential. However, satellite observations in the spectral range from approximately 340 to 400 nm are known to have unique sensitivity to elevation and absorption of tropospheric aerosols. Traditionally, this sensitivity is used in many ozone monitoring instruments such as TOMS, GOME-1, SCIAMACHY, OMI and GOME-2 for deriving UV Aerosol Index (UVAI) that provides very valuable qualitative information about aerosol distribution. However, UVAI does not have explicit geophysical quantitative meaning and, therefore, it is not fully appropriate for utilization in validation of aerosol transport models and other climate applications. The reflectivity of the Earth s surface is an important input parameter for many satellite retrievals of atmospheric composition. Examples are the retrieval of trace gases such as ozone, NO2, BrO, CH2O, H2O, CO2, CO, and CH4, and of cloud information and aerosol optical depth (AOD). Recent developments in atmospheric remote sensing have focused strongly on deriving and implementing angular-dependent surface BRDF information (as opposed to using traditional, non-directional Lambertian surface reflectivity information), and on obtaining this information on a much higher spatial resolution than before. ESA S5P+I AOD/BRDF project is focused on aerosol and surface reflectance characterisation using capabilities of Sentinel-5p (TROPOMI) measurements. One objective of the project is to achieve quantitative characterization of aerosol properties from Sentinel-5p. Specifically, the objective is to develop the algorithm capable to provide Aerosol Optical Depth (AOD), i.e. aerosol load in the atmosphere as well as to provide information about absorption and type of the aerosol. Another objective of the RFP/ITT is the development of a product of spectral surface BRDF information from (and for) the TROPOMI instrument.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.grasp-sas.com/projects/aod-brdf_sentinel-5p-innovation/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-aod-brdf/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S5p Inno - AOD and BRDF", "osc:name": "SENTINEL-5P+ INNOVATION - AEROSOL OPTICAL DEPTH (AOD) AND BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTION (BRDF)", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "GRASP:SAS (FR)CATALYSTS GMBH (AT)", "role": "consortium_member" }, { "name": "KNMI (NL)", "role": "consortium_member" } ], "start_datetime": "2019-01-07T00:00:00Z", "end_datetime": "2021-12-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-01-07T00:00:00Z", "2021-12-30T23:59:59Z" ] ] } }, "license": "proprietary" }s5p-inno-glyoxal/000077500000000000000000000000001517436701200340275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000052611517436701200370610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-glyoxal{ "type": "Collection", "id": "s5p-inno-glyoxal", "stac_version": "1.0.0", "description": "The GLYRETRO (GLYoxal Retrievals from TROPOMI) activity is one of the seven themes from the ESA S5p innovation (S5p+I) project, which aims at further exploiting the capability of the S5p/TROPOMI instrument with the development of a number of new scientific products. The GLYRETRO project, proposed by both the Royal Belgian Institute for Space Aeronomy and the Institute of Environmental Physics at the University of Bremen, has been successfully kicked-off on July, 1st 2019 and will last two years. The objectives are manifold and can be listed as: To develop a scientific glyoxal (CHOCHO) tropospheric column product; To collect independent data sets in order to validate the satellite observations; To pave the way towards an operationalization of the developed S5p glyoxal product; To demonstrate the added-value of the S5p glyoxal product for the user community.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://glyretro.aeronomie.be/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-glyretro-glyoxal-retrievals-from-tropomi/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S5p Inno - Glyoxal", "osc:name": "SENTINEL-5P+ INNOVATION - GLYRETRO (GLYoxal Retrievals from TROPOMI)", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "BELGIAN INSTITUTE OF SPACE AERONOMY (BIRA:IASB) (BE)", "role": "consortium_member" }, { "name": "UNIVERSITAET BREMEN (DE)", "role": "consortium_member" } ], "start_datetime": "2019-06-26T00:00:00Z", "end_datetime": "2021-12-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-06-26T00:00:00Z", "2021-12-30T23:59:59Z" ] ] } }, "license": "proprietary" }s5p-inno-h2o-iso/000077500000000000000000000000001517436701200336305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000100711517436701200366550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-h2o-iso{ "type": "Collection", "id": "s5p-inno-h2o-iso", "stac_version": "1.0.0", "description": "Atmospheric moisture is a key factor for the redistribution of heat in the atmosphere and there is strong coupling between atmospheric circulation and moisture pathways which is responsible for most climate feedback mechanisms. Water isotopologues can make a unique contribution for better understanding this coupling. In recent years, water vapour isotopologue observations from satellites have become available from thermal nadir infrared measurements (TES, AIRS, IASI) which are sensitive above the boundary layer and from shortwave-infrared (SWIR) sensors (GOSAT, SCIAMACHY) that provide column averaged concentrations including sensitivity to the boundary layer. Sentinel 5P (S5P) measures SWIR radiance spectra that allow retrieval of water isotopologue columns but with much improved spatial and temporal coverage compared to other SWIR sensors thus promising an unique dataset with larger potential for scientific and operational applications. The aim of this proposal is to develop and evaluate a prototype dataset from Sentinel 5P for water isotopologues. This will be addressed by a team of experts from University of Leicester, Karlsruhe Institute of Technology and University of Bergen bringing together expertise in atmospheric measurement (EO andin-situ), and modelling with scientific end-users. Objectives- During this project we will demonstrate the feasibility of measuring stable water isotopologues for S5P, specifically ratios of HDO/H2O by: Optimizing the retrieval method making use of the University of Leicester Full Physics (UoL-FP) retrieval algorithm. Examining and characterize the retrieval performance by validation of retrieved waterisotopologues against reference data sets (MUSICA NDACC data and TCCON) and satellite data from IASI and GOSAT. Assess the impact of the S5P datasets using two different models for defined regions of interest. The findings and recommendations of this project will be delivered through a scientific roadmap, in order to further develop the methods and their application including a transition to operational activities. This will benefit from the strong links of the team with relevant international activities, projects and initiatives.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://s5pinnovationh2o-iso.le.ac.uk/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-water-vapour-isotopologues-project-h2o-iso/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S5p Inno - H2O-ISO", "osc:name": "SENTINEL-5P+ INNOVATION WATER VAPOUR ISOTOPOLOGUES (H2O-ISO)", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "UNIVERSITY OF LEICESTER (GB)", "role": "consortium_member" }, { "name": "KARLSRUHE INSTITUTE OF TECHNOLOGY (DE)", "role": "consortium_member" }, { "name": "UNIVERSITY OF BERGEN (NO)", "role": "consortium_member" } ], "start_datetime": "2019-02-07T00:00:00Z", "end_datetime": "2021-12-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-02-07T00:00:00Z", "2021-12-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-oclo/000077500000000000000000000000001517436701200333635ustar00rootroot00000000000000collection.json000066400000000000000000000054431517436701200363400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-oclo{ "type": "Collection", "id": "s5p-inno-oclo", "stac_version": "1.0.0", "description": "The S5PI+ OClO project is one of the seven themes of ESA s Sentinel-5p+ Innovation activity, which aims at developing products for the TROPOMI instrument on the Sentinel-5 Precursor satellite which are not yet part of the operational processor. The Copernicus Sentinel-5P satellite was launched in October 2017 and provides operational data since July 2018. This mission is intended as a gap:filler between the time series of the former instruments GOME and SCIAMACHY, the still operating OMI and the future Copernicus S5 instruments. Retrievals of OClO have been performed for all UV/vis heritage instruments (GOME, SCIAMACHY, GOME2, OMI) and the S5P OClO product will act as a continuation of these timeseries. Atmospheric profiles of OClO have also been retrieved from SCIAMACHY, OSIRIS and GOMOS measurements, providing additional information on the vertical distribution of OClO. For the validation of the S5P OClO product, ground-based observations of OClO from instruments in the NDACC network can be used.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.iup.uni-bremen.de/doas/s5poclo.htm", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-chlorine-dioxide-oclo/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S5p Inno - OCLO", "osc:name": "SENTINEL-5P+ INNOVATION CHLORINE DIOXIDE (OCLO)", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "UNIVERSITAET BREMEN (DE)", "role": "consortium_member" }, { "name": "BELGIAN INSTITUTE OF SPACE AERONOMY (BIRA:IASB) (BE)", "role": "consortium_member" } ], "start_datetime": "2019-06-25T00:00:00Z", "end_datetime": "2021-12-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-06-25T00:00:00Z", "2021-12-30T23:59:59Z" ] ] } }, "license": "proprietary" }s5p-inno-s5p-i-oc/000077500000000000000000000000001517436701200337045ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000073351517436701200367420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-s5p-i-oc{ "type": "Collection", "id": "s5p-inno-s5p-i-oc", "stac_version": "1.0.0", "description": "The S5P+I-OC project will explore the capacity of the Sentinel-5p TROPOMI data to provide novel Ocean Colour (OC) products. More specifically, the objectives of this S5P+ Innovation activity are to: develop a solid scientific basis for the application of S5P data within the context of novel scientific and operational OC products applications; assess existing algorithms which have been used for OC product retrievals from SCanning Imaging Absorption Spectro-Meter for Atmospheric CHartographY (SCIAMACHY), Ozone Monitoring Instrument (OMI) and Global Ozone Monitoring Experiment (GOME-2); develop novel OC products and retrieval methods that exploit the potential of the S5P mission s capabilities beyond its primary objectives, in particular, the chlorophyll-a concentration (CHL) of important phytoplankton groups (PFT-CHL), the underwater light attenuation coefficients (Kd) for the ultraviolet (UV) and the blue spectral region separately (KdUV, KdBlue), and the sun-induced marine chlorophyll-a fluorescence signal (SIF:marine) from TROPOMI S5P level-1 data; explore the potential of the UV range of S5P for ocean biology; use complementary products from Sentinel-3 (S3) and S5P for exploring the UV measurements of TROPOMI for assessing sources of coloured dissolved organic matter (CDOM) and the amount of UV-absorbing pigments in the ocean; validate with established reference in situ datasets and perform intercomparison to other satellite OC data; define strategic actions for fostering a transition of the methods from research to operational activities; maximize the scientific return and benefits from the S5P mission for surface ocean research and services (e.g. CMEMS) by assessing the synergies with other satellite sensors, in particular :explore the synergistic use of S5P and S3.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.awi.de/index.php?id=4087&no_cache=1&L=1", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-expro-theme-7-ocean-colour-s5p-i-oc/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S5p Inno - S5p-I-OC", "osc:name": "SENTINEL-5P+ INNOVATION OCEAN COLOUR (S5P+-I-OC)", "osc:status": "ongoing", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Marie-Helene Rio", "role": "technical_officer", "emails": [ { "value": "marie-helene.rio@esa.int" } ] }, { "name": "ALFRED WEGENER INSTITUTE (DE)", "role": "consortium_member" }, { "name": "U. LISBON (PT)", "role": "consortium_member" }, { "name": "UNIVERSITAET BREMEN (DE)", "role": "consortium_member" }, { "name": "UNIVERSITY OF VICTORIA (CA)", "role": "consortium_member" } ], "start_datetime": "2019-05-29T00:00:00Z", "end_datetime": "2021-06-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-05-29T00:00:00Z", "2021-06-30T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-sif/000077500000000000000000000000001517436701200332105ustar00rootroot00000000000000collection.json000066400000000000000000000063031517436701200361610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-sif{ "type": "Collection", "id": "s5p-inno-sif", "stac_version": "1.0.0", "description": "The ESA-TROPOSIF project is one of the seven themes from the Sentinel-5p+ Innovation (S5p+I) activity funded by ESA, which aims at developing novel scientific products / retrieval methods from the data acquired by the TROPOMI (TROPOspheric Monitoring Instrument) instrument aboard the Copernicus Sentinel-5 Precursor mission launched in October 2017. Although the Sentinel-5P mission was designed to monitor the Earths atmosphere, TROPOMI s spectral and radiometric performance enable to also monitor terrestrial Solar Induced Fluorescence (SIF) with an unprecedented spatial and temporal resolution. Project objectives: The overarching goal of the ESA-TROPOSIF project is two fold- First, a global SIF product from TROPOMI will be derived, which implies new developments in SIF retrieval and the comparison to existing state-of-the-art global SIF data sets from TROPOMI and OCO-2. Second, the resulting SIF data set will be exploited in order to demonstrate the positive impact that the TROPOMI SIF product can have on a range of vegetation and carbon cycle-related research topics. Among others, this will be done through the assimilation of the resulting SIF data set into the state of the art ORCHIDEE terrestrial biosphere model. The investigation of the potential of the developed TROPOMI SIF retrieval for the upcoming Sentinel-4 and Sentinel-5 missions and the promotion of the developed SIF product among the potential climate/land surface modelling community will also be carried out within the project.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://s5p-troposif.noveltis.fr/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-solar-induced-chlorophyll-fluorescence-sif/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S5p Inno - SIF", "osc:name": "SENTINEL-5P+ INNOVATION SOLAR INDUCED CHLOROPHYLL FLUORESCENCE (SIF)", "osc:status": "completed", "osc:themes": [ "Atmosphere", "Land" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "NOVELTIS SAS (FR)", "role": "consortium_member" } ], "start_datetime": "2019-03-07T00:00:00Z", "end_datetime": "2021-09-11T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-03-07T00:00:00Z", "2021-09-11T23:59:59Z" ] ] } }, "license": "proprietary" }s5p-inno-so2-lh/000077500000000000000000000000001517436701200334545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000037651517436701200365150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/s5p-inno-so2-lh{ "type": "Collection", "id": "s5p-inno-so2-lh", "stac_version": "1.0.0", "description": "Generation of an SO2 layer height product for Sentinel-5p taking into account data production timeliness requirements.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://atmos.eoc.dlr.de/so2-lh/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-so2-layer-height-project/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "S5p Inno - SO2-LH", "osc:name": "SENTINEL-5P+ INNOVATION - SO2 Layer Height Project", "osc:status": "completed", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Christian Retscher", "role": "technical_officer", "emails": [ { "value": "christian.retscher@esa.int" } ] }, { "name": "DLR : GERMAN AEROSPACE CENTER (DE)", "role": "consortium_member" }, { "name": "ARISTOTLE UNIV. OF THESSALONIKI (GR)", "role": "consortium_member" }, { "name": "UNIVERSITY OF OXFORD (GB)", "role": "consortium_member" } ], "start_datetime": "2019-03-07T00:00:00Z", "end_datetime": "2022-03-20T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-03-07T00:00:00Z", "2022-03-20T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/sar-hsu/000077500000000000000000000000001517436701200323435ustar00rootroot00000000000000collection.json000066400000000000000000000046111517436701200353140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/sar-hsu{ "type": "Collection", "id": "sar-hsu", "stac_version": "1.0.0", "description": "Geodetic SAR for connecting tide gauges to the GNSS network; GOCE based high resolution geoid at tide gauge stations; Compatibility of geometric and physical reference frames", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.bgu.tum.de/iapg/baltic/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sar-hsu/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SAR-HSU", "osc:name": "BALTIC+ Geodetic SAR for Baltic Height System Unification (SAR-HSU)", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Nuno Miranda", "role": "technical_officer", "emails": [ { "value": "nuno.miranda@esa.int" } ] }, { "name": "TECHNICAL UNIVERSITY OF MUNICH (DE)", "role": "consortium_member" }, { "name": "LANTMATERIET (SE)", "role": "consortium_member" }, { "name": "NLS FINNISH GEOSPATIAL RESEARCH INS (FI)", "role": "consortium_member" }, { "name": "Space Research Centre", "role": "consortium_member" }, { "name": "Polish Academy of Sciences (CBK:PAN) (PL)", "role": "consortium_member" }, { "name": "TALLINNA TEHNIKA√úLIKOOL (EE)", "role": "consortium_member" }, { "name": "Technical University of Denmark (DK)", "role": "consortium_member" } ], "start_datetime": "2019-05-03T00:00:00Z", "end_datetime": "2020-10-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2019-05-03T00:00:00Z", "2020-10-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/seasfire/000077500000000000000000000000001517436701200325625ustar00rootroot00000000000000collection.json000066400000000000000000000075571517436701200355470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/seasfire{ "type": "Collection", "id": "seasfire", "stac_version": "1.0.0", "description": "The SeasFire project aims to explore and capture potential spatio-temporal asynchronous links happening between pre-occurring and non-overlapping atmospheric conditions and European fire regimes to predict the seasonal burned areas sizes in Europe by leveraging two major advancements of our time- a) the availability of a huge amount of satellite data with a good spatio-temporal resolution, which will be used as fire drivers called the Earth system variables, and b) the progress in Deep Learning (DL) and especially Graph Neural Networks (GNNs) have proved capable of capturing the spatio-temporal interactions of the Earth System variables. The project will develop a first-of-its-kind prototype system that predicts the seasonal burned area sizes for Europe, using global environmental variables and terrestrial ecosystem modelling, and simulate their impact on local fire regimes. The project will address the following scientific questions: What is the spatiotemporal contribution of the different fire drivers in the seasonal fire patterns in Europe and how do those fire drivers interact? How much do teleconnections enable us to anticipate seasonal fire patterns with high confidence in comparison to merely climate forecasting strategies? Can we use modern DL architectures to learn memory/lag effects in fire regimes and the possible teleconnections? In this context, the project aims to: Create and publish Global Data Cube with Analysis Ready Data (ARD) that includeGlobal predictor variables related to fire drivers; and the predictand, i.e. theaggregated burned area sizes. Develop a model showing the predicted burned areas in Europe for the coming fire season and explain the modelss predictions Analyse the SeasFire datacube and use the developed model to Identify the spatiotemporal contribution of the different fire drivers in the seasonal fire patterns in Europe and how those fire drivers interact; detect the contribution of teleconnections and if they enable us to anticipate the seasonal fire patterns with high confidence; Learn memory/lag effects in fire regimes and the possible teleconnections.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://seasfire.hua.gr/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/seasfire/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SeasFire", "osc:name": "SeasFire: Earth System Deep learning for Seasonal Fire Forecasting in Europe", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Sveinung Loekken", "role": "technical_officer", "emails": [ { "value": "sveinung.loekken@esa.int" } ] }, { "name": "NATIONAL OBSERVATORY OF ATHENS (GR)HAROKOPIO UNIVERSITY OF ATHENS (GR)", "role": "consortium_member" }, { "name": "MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY (DE)", "role": "consortium_member" } ], "start_datetime": "2021-09-28T00:00:00Z", "end_datetime": "2025-01-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-09-28T00:00:00Z", "2025-01-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/sense4fire/000077500000000000000000000000001517436701200330305ustar00rootroot00000000000000collection.json000066400000000000000000000045041517436701200360020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/sense4fire{ "type": "Collection", "id": "sense4fire", "stac_version": "1.0.0", "description": "Based on the new possibilities of the Sentinel series of satellites, this project aims to develop a highly novel approach to derive global fire emissions estimates based on the characterisation of individual fires and their behaviour. These data will be combined with bottom:up estimates of fuel and combustion and top-down constraints on total carbon emissions and emissions factors. Furthermore, observations of atmospheric composition will be exploited to provide an uncertainty assessment from top-down emission estimation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sense4fire/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sense4fire/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SENSE4FIRE", "osc:name": "SEN4CARBON Theme 2: Fire Dynamics (SENSE4FIRE)", "osc:status": "ongoing", "osc:themes": [ "Atmosphere" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "TECHNISCHE UNIVERSITAT DRESDEN (DE)", "role": "consortium_member" }, { "name": "CARDIFF UNIVERSITY (GB)", "role": "consortium_member" }, { "name": "KNMI (NL)", "role": "consortium_member" } ], "start_datetime": "2021-05-27T00:00:00Z", "end_datetime": "2023-01-08T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-05-27T00:00:00Z", "2023-01-08T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/sense4gpp/000077500000000000000000000000001517436701200326715ustar00rootroot00000000000000collection.json000066400000000000000000000046701517436701200356470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/sense4gpp{ "type": "Collection", "id": "sense4gpp", "stac_version": "1.0.0", "description": "Assess time-space variability of terrestrial gross primary production (GPP) of terrestrial ecosystems by a synergistic exploitation of the complementary information provided by the Sentinel missions (Sentinel-2, Sentinel-3 and Sentinel-5P) at multiple spatial and temporal resolutions, as well as other Earth Observation and in situ data.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://sen4gpp.noveltis.fr/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sen4gpp/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SENSE4GPP", "osc:name": "SEN4CARBON Theme 1: Terrestrial Gross Primary Production (SEN4GPP)", "osc:status": "ongoing", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Stephen Plummer", "role": "technical_officer", "emails": [ { "value": "stephen.plummer@esa.int" } ] }, { "name": "NOVELTIS SAS (FR)", "role": "consortium_member" }, { "name": "CEA:LSCE (FR)", "role": "consortium_member" }, { "name": "Fondazione Centro Euro:Mediterraneo (IT)", "role": "consortium_member" }, { "name": "MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY (DE)", "role": "consortium_member" }, { "name": "UNIVERSITAT POLITECNICA DE VALENCIA (ES)", "role": "consortium_member" }, { "name": "UNIVERSITY OF SOUTHAMPTON (GB)", "role": "consortium_member" } ], "start_datetime": "2021-04-22T00:00:00Z", "end_datetime": "2023-06-14T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-04-22T00:00:00Z", "2023-06-14T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/shape/000077500000000000000000000000001517436701200320615ustar00rootroot00000000000000collection.json000066400000000000000000000050721517436701200350340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/shape{ "type": "Collection", "id": "shape", "stac_version": "1.0.0", "description": "Design and assess the impact of alternative and innovative techniques not implemented in the Sentinel-3 ground segment (no Inland Water dedicated processing); Transpose results obtained by using Cryosat-2 data processed according to the Sentinel-3 baseline to the Sentinel-3 framework (repeat versus geodesic orbit); Migrate results into an hydrological model evaluating the potential of the Sentinel-3 data to improve hydrological catchment; Produce new datasets, including updated tropospheric corrections.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://projects.along-track.com/shape/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-3-hydrologic-altimetry-processor-prototype-shape/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SHAPE", "osc:name": "Sentinel-3 Hydrologic Altimetry Processor prototypE (SHAPE)", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Jerome Benveniste", "role": "technical_officer", "emails": [ { "value": "jerome.benveniste@esa.int" } ] }, { "name": "Along-track (FR)", "role": "consortium_member" }, { "name": "ISARDSAT LTD. (GB)", "role": "consortium_member" }, { "name": "ISARDSAT SP. Z O.O. (PL)", "role": "consortium_member" }, { "name": "SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE (SE)", "role": "consortium_member" }, { "name": "UNIVERSITY OF PORTO FACULTY OF SCIENCE (PT)", "role": "consortium_member" } ], "start_datetime": "2015-09-22T00:00:00Z", "end_datetime": "2019-09-30T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2015-09-22T00:00:00Z", "2019-09-30T23:59:59Z" ] ] } }, "license": "proprietary" }smos-mediterranean/000077500000000000000000000000001517436701200344775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000047701517436701200375350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/smos-mediterranean{ "type": "Collection", "id": "smos-mediterranean", "stac_version": "1.0.0", "description": "This project aimed at calculating a sea surface salinity (SSS) field over the north Atlantic Ocean and the Mediterranean Sea for the previous 6 years, using a combination of techniques developed by the partners of the project, GEHR (Belgium) and BEC (Spain). This approach combined a debiased non-Bayesian retrieval of the SSS, the use of DINEOF (Data Interpolating Empirical Orthogonal Functions) to correct for systematic errors, and multifractal fusion to obtain a L4 dataset.The resulting dataset has been compared to in situ data, demonstrating that the new methodology reduces by half the error with respect to previous estimates of SSS in the Mediterranean Sea.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/pathfinders-sea-surface-salinity-in-the-mediterranean/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/pathfinders-sea-surface-salinity-in-the-mediterranean/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SMOS+ Mediterranean", "osc:name": "SMOS+ Med-Sea Surface Salinity in the Mediterranean", "osc:status": "completed", "osc:themes": [ "Oceans" ], "osc:type": "project", "contacts": [ { "name": "Diego Fernandez", "role": "technical_officer", "emails": [ { "value": "Diego.fernandez@esa.int" } ] }, { "name": "UNIVERSITY OF LIEGE (BE)", "role": "consortium_member" }, { "name": "INSTITUTO DE CIENCIAS DEL MAR : CSIC (ES)", "role": "consortium_member" } ], "start_datetime": "2014-03-19T00:00:00Z", "end_datetime": "2018-02-28T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2014-03-19T00:00:00Z", "2018-02-28T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/smos-nino-2015/000077500000000000000000000000001517436701200332705ustar00rootroot00000000000000collection.json000066400000000000000000000064701517436701200362460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/smos-nino-2015{ "type": "Collection", "id": "smos-nino-2015", "stac_version": "1.0.0", "description": "SMOS Sea Surface Salinity (SSS) is not yet widely used by the ocean modelling community. In part this is due to the technical challenges of assimilating satellite SSS and assessing the impact of the assimilation using objective tools and reporting. The Global Ocean Data Assimilation Experiment (GODAE) Ocean View Science Team (GOV-ST) group Observing System Evaluation Task Team (OSEVal-TT, see https://www.godae-oceanview.org/science/task-teams/observing-system-evaluation-tt-oseval-tt/) was convened by GOV-ST to evaluate the impact of different measurement systems by running specific observing system experiments and producing an Observation Impact Statement Report. This allows GOV-ST to formulate specific requirements for ocean observations on the basis of improved understanding of data utility.This activity is focussed on the design, implementation and reporting of an Observing System Evaluation of satellite SSS during the strong El Nino 2015/16 event. Strong SSS signals are present in SMOS data prior and during to the El Nino event. Inaddition to SMOS, full use of the NASA SMAP mission data will be encouraged. The output will be a GOV-ST Observation Impact Statement Report focussed on satellite SSS, journal publications and a workshop dedicated to the findings and approach taken by the study team.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.godae-oceanview.org/science/task-teams/observing-system-evaluation-tt-oseval-tt/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/godae-ocean-observing-system-evaluation-of-satellite-sea-surface-salinity-and-el-nino-2015-smos-nino15/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SMOS-NINO 2015", "osc:name": "GODAE OCEAN OBSERVING SYSTEM EVALUATION OF SATELLITE SEA 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}smos-rainfall-land/000077500000000000000000000000001517436701200343655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projectscollection.json000066400000000000000000000043511517436701200374160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/smos-rainfall-land{ "type": "Collection", "id": "smos-rainfall-land", "stac_version": "1.0.0", "description": "The objective of the SMOS+RAINFALL project is to ingest satellite soil moisture information derived from ASCAT, SMOS and SMAP into the latest state of the art satellite precipitation products like those derived from the Global Precipitation Measurement mission (GPM) to enhance rainfall observation accuracy over land.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.esasmosrainfall.org/", "title": "Website" }, { 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"rel": "via", "href": "http://due.esrin.esa.int/stse/page_stse_project204.php", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SMOS+ SeaIce", "osc:name": "STSE SMOS+ SEA ICE", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Matthias Drusch", "role": "technical_officer", "emails": [ { "value": "matthias.drusch@esa.int" } ] }, { "name": "UNIVERSITY OF HAMBURG (DE)", "role": "consortium_member" }, { "name": "ALFRED WEGENER INSTITUTE (DE)", "role": "consortium_member" }, { "name": "DANISH METEOROLOGICAL INSTITUTE (DK)", "role": "consortium_member" }, { "name": "FINNISH METEOROLOGICAL INSTITUTE (FI)", "role": "consortium_member" }, { "name": "NANSEN ENVIRONMENTAL AND REMOTE SENSING CENTER 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observations at 1.4 GHz. From the Level 1 brightness temperatures we derive the Level-2 data products, namely surface soil moisture and vegetation optical depth (VOD) (over land) and sea surface salinity (over oceans). SMOS not only contributes towards our understanding of the global water cycle, but also has the potential to improve our understanding of the global carbon cycle. The assimilation of SMOS soil moisture into a carbon assimilation scheme built around a terrestrial biosphere model was found to improve global CO2 flux estimates. Similarly, assimilating SMOS soil moisture and AMSR-E C-band VOD data into an evapotranspiration (ET) model was found to improve ET and root-zone soil moisture estimates over Australia.However, there is still a lack of in-depth understanding of the VOD product, and its potential to monitor vegetation properties and processes has not yet been satisfactorily explored. In this context, this activity aims to increase the scientific return of the SMOS VOD data product by preparing and promoting its use for vegetation applications in the fields of agriculture, drought monitoring and land surface modeling.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://smos-veg.inversion-lab.com/index.html", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/smos-vegetation/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SMOS+ VEGETATION", "osc:name": "SMOS+ VEGETATION", "osc:status": "completed", "osc:themes": [ "Land" ], "osc:type": "project", "contacts": [ { "name": "Matthias Drusch", "role": "technical_officer", "emails": [ { "value": "matthias.drusch@esa.int" } ] }, { "name": "THE INVERSION LAB THOMAS KAMINSKI CONSULTING (DE)", "role": "consortium_member" }, { "name": "LUND UNIVERSITY (SE)", "role": "consortium_member" }, { "name": "UNIVERSITE TOULOUSE III PAUL SABATIER (FR)", "role": "consortium_member" } ], "start_datetime": "2016-10-05T00:00:00Z", "end_datetime": "2018-12-15T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2016-10-05T00:00:00Z", "2018-12-15T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/so-fresh/000077500000000000000000000000001517436701200325075ustar00rootroot00000000000000collection.json000066400000000000000000000070321517436701200354600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/so-fresh{ "type": "Collection", "id": "so-fresh", "stac_version": "1.0.0", "description": "Southern Ocean Freshwater (SO Fresh) is a recent ESA funded project (2021-2023) included in the Polar Cluster Initiative. 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SO Fresh will explore the potential of using SSS in combination with other ocean variables (i.e. Sea Surface Temperature, Sea Surface Height Anomalies) to enhance the state of the art of SO freshwater fluxes, Sea Surface Density variability and Water Mass Transformation Rates. With lessons learned in most recent advancements in SSS processing in the context of ESA SMOS Mission, SO Fresh will produce a dedicated SSS product Southern Ocean. Some of the methodologies to improve SSS data around the Antarctic peninsula may include nodal sampling, Brightness temperature fusion and enhanced debiased non-Bayesian retrievals. SO Fresh started in May 2021, and the first set of data is expected to be available for distribution by the beginning of 2022.To keep in touch with SO Fresh Team, follow the link or send email to sofresh@argans.co.uk.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://sofresh.argans.co.uk/#docs", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/so-fresh/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "SO-FRESH", "osc:name": "Southern Ocean Freshwater (SO-FRESH)", "osc:status": "completed", "osc:themes": [ "Cryosphere" ], "osc:type": "project", "contacts": [ { "name": "Diego Fernandez", "role": "technical_officer", "emails": [ { "value": "diego.fernandez@esa.int" } ] }, { "name": "ARGANS LIMITED (GB)", "role": "consortium_member" }, { "name": "AGENCIA ESTATAL CONSEJO SUPERIOR DE (ES)", "role": "consortium_member" }, { "name": "UNIVERSITY OF SOUTHAMPTON (GB)", "role": "consortium_member" } ], "start_datetime": "2021-01-05T00:00:00Z", "end_datetime": "2023-05-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2021-01-05T00:00:00Z", "2023-05-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/space4safesea/000077500000000000000000000000001517436701200334705ustar00rootroot00000000000000collection.json000066400000000000000000000043011517436701200364350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/space4safesea{ "type": "Collection", "id": "space4safesea", "stac_version": "1.0.0", "description": "The objective of the Space4Safesea project is to develop and validate for maritime safety applications an ocean state product based on synergetic use of a new merged ocean current and surface wave data in the Great Agulhas region, an area synonymous of hazardous sea state and rogue waves due to the interaction between the wave and the current. The new merged ocean current will be derived from Altimeter data and AIS-based current using the Multiscale Inversion for Ocean Surface Topography (MIOST) variational tool. 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"consortium_member" }, { "name": "NANSEN ENVIRONMENTAL AND REMOTE SENSING CENTER (NO)", "role": "consortium_member" }, { "name": "Ocean Next (FR)", "role": "consortium_member" }, { "name": "Universiteit Utrecht (NL)", "role": "consortium_member" } ], "start_datetime": "2020-04-28T00:00:00Z", "end_datetime": "2022-05-31T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2020-04-28T00:00:00Z", "2022-05-31T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/xorn/000077500000000000000000000000001517436701200317475ustar00rootroot00000000000000collection.json000066400000000000000000000074761517436701200347340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/projects/xorn{ "type": "Collection", "id": "xorn", "stac_version": "1.0.0", "description": "The Earth crust represents less than 1% of the volume of our planet but is exceptionally important as it preserves the signs of the geological events that shaped the Earth. This thin layer is the place where the natural resources we need can be accessed (e.g. minerals, critical raw materials, geothermal energy, fresh water, hydrocarbons). For these reasons, a thorough understanding of its structure is crucial for both scientific and industrial future activities. In recent years, thanks to the increasing availability of seismic/seismological data and to satellite missions, the Earth crust has been thoroughly investigated and modelled at global and continental scales. However, despite this progress, the crust remains poorly understood in many regions as global models are often too coarse to provide detailed information about the regional and local dynamics. Potential field methods, which exploit gravity and magnetic data, are a powerful tool to recover information on the Earthss crust structure. A wide variety of gravity and magnetic data in fact have been nowadays collected at near surface altitudes in most regions of the world. These measurements, if properly combined with global satellite data can be used to refine at regional/local scale the modelling of crustal structures, depicting the boundaries between geological units and stratification of the crust. To fully exploit these satellite-derived and terrestrial data ad-hoc physics integrated approaches, to reconcile all the measurements, are required. A promising solution to this issue is represented by the joint processing of both gravity and magnetic fields observations, possibly incorporating the available geological knowledge and constrains coming from seismic acquisitions. In the XORN project an innovative, fully integrated approach will be developed to perform a complete 3D joint inversion of gravity and magnetic fields data, constrained by seismic and geological a-priori information. The developed algorithm will be used within the project to recover a 3D regional model of the Earth crust in the Mediterranean Area in terms of density and magnetic susceptibility distribution and in terms of depths of the main geological horizons.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://xorn-project.eu/", "title": "Website" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/xorn/", "title": "EO4Society Link" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Projects" } ], "stac_extensions": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json" ], "title": "XORN", "osc:name": "eXperimental jOint inveRsioN", "osc:status": "ongoing", "osc:themes": [ "Solid Earth" ], "osc:type": "project", "contacts": [ { "name": "Ilias Daras", "role": "technical_officer", "emails": [ { "value": "ilias.daras@esa.int" } ] }, { "name": "GEOMATICS RESEARCH AND DEVELOPMENT (IT)CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE (CNRS) (FR)", "role": "consortium_member" } ], "start_datetime": "2022-07-04T00:00:00Z", "end_datetime": "2023-12-19T23:59:59Z", "extent": { "spatial": { "bbox": [ [ -180.0, -90.0, 180.0, 90.0 ] ] }, "temporal": { "interval": [ [ "2022-07-04T00:00:00Z", "2023-12-19T23:59:59Z" ] ] } }, "license": "proprietary" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/themes/000077500000000000000000000000001517436701200304155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/themes/atmosphere/000077500000000000000000000000001517436701200325645ustar00rootroot00000000000000EO_Atmosphere.webp000066400000000000000000014743761517436701200361040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/themes/atmosphereRIFFxWEBPVP8X ,7ICCP00ADBEmntrRGB XYZ acspAPPLnone-ADBE cprt2desc0kwtptbkptrTRCgTRCbTRCrXYZgXYZbXYZtextCopyright 1999 Adobe Systems IncorporateddescAdobe RGB (1998)XYZ QXYZ curv3curv3curv3XYZ OXYZ 4,XYZ &1/VP8 $6pC*8>u Ycyr^ &7N?iGt9PKٱ{@#}GbeϿ~_cO yooھ?9sϘ_~O~{w3߸~KW\{Q}O_8\}K_~[v_?A~Ko~}=_O+_G_4{o/{·|H!Sw? _?}[??u}3} h?߹kgrOL}?￾K^?_߷bKy} >]W?_/yW?L?t~sG_yzO?`7#["_?_g?t_5I>F9t*shn&z.bOO ů~7ѬϓHה ?{A& 7&MvoL>22]ۼ]_*Uo>m9p %yP%_H)V6^еb9 /n74eF>Ÿ}A.W##hШ)Θq2M"2!DYG*~ =&'yf(ep?<Ɵ_BDVKwWx7:Neu0PGyL#\0UǼA@v^kŦ9$s{9J%z/ a!}:|CO$Ӹ;=ws~okЖ;oPL8N|yz)fwlv|_uqq>NƌU ტɼ8"_-|OW.~ 2ׄ Y6Ү~vnػ!J@1$DR0F{fc}~Ё~/B{,ټ h͓+me~z| rAAsMx#%Oۋe9kWMCU9asQŵo xw>/i 1͈a9R6pZ)#"fJ>4aܘfjζ[=ہؼqb,A&<;@a2VcaMզ/ 1 Ga6o$/ó!$#^Ku*~\_XVB%H+JQc:wKyz6BLTp@i(E{B򃦟<6 -}{4ۡpW+kM>?wa !539?gchksFA"~&E B`8]3?̎R}PM1$P@!DG޹Z9A~sakE﷍BV| IƓ2|/,rZɥ:m>Ͽ6/5S /f/* dw1z#3(9"Ϲ؍!S~|AdڠH7!}ۍuz  RBjJZEL9^n2PyV,.4bDEI,-M6T.N j*(/ZPV)IB?r]ʗ B&z]`@%[ eiK=oI;.|HK>jލ4yA-&j՚(BF2c?-tosѤ,"q ֝N#!Vn2Ns+5re}me%g5!-2Ͽv Μs¸U#DܶSm}.0o1'! ㆊ:xFň5ȭr/ wj3J]<]w 9K|? 9>-_ۆDXcɒ80f3D+TƮ/>T+o/E ~Nk=R[Ӭt[0&ƜES<5q~ӥ^_ U)?ǏW}j~NScۥBn]\*HnmԘI5xЧMpY7VQ.% (y o7'bɤ)=4m_4_z.>O(iׁ$wM7-Yё=[!ӫϾw/>eC`V0 d&>w+K?=zѺC+>X-J+j8C_ڎ~pR,o4ATT{gÄKa^M7E홰ںZ UeTj eGH ,$]gԣ~ws[w&ahQs k:eK![&*&JKޓ ͷ*p`y~ˊ2GF߮VIXC T/4a#H 6cvq bHRn<j9W2BkMvސqӭK58#bįW[ j =y9`V֋ mH\KH }Qa?$Nt33S8^ZS؛lꪢ61⻹v ?Փ&a#z8{U@7"f%+V#6y @:h7 wy;Yr76x%70>ES-fc`7d:޹Q m[ـNCCЇGkW.@KkS= bȼQ˰mpLx&UrX)XlSXkO"We0f]ŽJ}Im{''&{OyΓ,DiiݯodLH'=*-b|d7C#" _]?H O+U-.-AW(}2&Bͤ>Jl"^m&o+K}G 6o̳;< 7=| SMWړVT+|~wZ<8613!QObŗ/_KF7_IqwKj:ɏI=_H{yH>IڥA?O>!B8hn3rEMHK"yu5uuB$uwmtǖ)|$ \\񉿝5$-z]]dGQkY1"bI_\6+N0(ǿKB讓驓晪4cH+t#7m-ɠnmOMvٕx=叭/9@OJ8,t3H7gfMTOj)؝O SRs} -..3i-T2C󗵶, InSU+n{Kl|o ɢp'uu\o-D߬g}IJ;[@gFI@ȦgW BҷKN7թ,y-YJnd'#ƴqIZ% >U.y<_DcsDo 7T+Ȕ]yWY/fgҗ=,&s0KTrЊD=5DlO.ەg^SEԄn8ZRZzf9xyVuxrFW;g[͡zuRm<֮c5F,Óޱ㉬3AA<ߝPۼ@f$$J;hANvK.O#h p1T9hBd', 2r2 G7L6Bc(j5LHƠE}+ ĸWK%Ac Z T*<~`7H "8Y;,s7J|6+VO .8G& ڜm= !BCcz߹Fk-;1ёd(S{\zE$ڵ3zzL,d 8(zĖܩ/svkxpG8sɒ ;ԥeo --\N& e9*#]`i,g2<(QBH9nh=(#5 _AR:t*{}*Q],Jg٥iݩH‘׉IPi1r}D^M~]N"bIhP=2?=4 `6mťǾjm83Bh6Ue dNAd (]1^dU;CF&<(VfсkE41]E24Ѷi?fف[ d̮)j+tg\NLaks&V:/”ƦH[0&23t}[01, %9VPv9t'zj7kgt-GaҍP+1-C ,Ӆ1p`ܭo.[+ akbDk eʝyoi;,D0v`:ZMeIUo6 {^@7˥ &dRS3p`_T9A=Ufurã\7#B3>:c o* Ku(C.D.&&g fAu* תrµiaeDVyMy]5HI  S"f`F-*d) "D ĕt3x<4OPDrU`ں[ !٥n))Fr0\4+ь0-rsOVMGj p՘Nꫲmer.쨛n(t)'}mn{΂k{5wy86gqML] ݣp[S&0VQ("TP%%%FZZ-Ávb:0НAdkɪP>ziE,u@=^c-Z?oC3-\| h:?o) 3; ϦOi,# vSFiӘ L­|(G8ZjyangX*ܫ6TD'J"Z(?_xnHTTo ݗv?&X!#agO\y`eQL[]"-5j3dAV}Q*E /k/rdw SAr΀6&- :NצvpD`nN!{F ;%&`s|=L3m@/wBD)ϯIkF-P )"A Ւ)}F!2).hg$z>PD0r] ԝnsJ,LM޻^254[`b~?(ub? 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The atmosphere is a gaseous envelope surrounding and protecting our planet from the intense radiation of the Sun and serves as a key interface between the terrestrial and ocean cycles. Although it only extends a few hundred kilometers above the surface, it contains a mixture of gases, such as oxygen and nitrogen, that are critical for life to exist. It distributes incoming solar radiation, protecting life from harmful ultraviolet radiation but also driving atmospheric circulation and weather. The atmosphere enables the greenhouse effect, which makes Earth more habitable. Human activity, however, is contributing more gases, many of which are negatively impacting the protective nature of this vital layer. 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adobe:docid:photoshop:d54a0dce-4285-014b-ba4e-4568c6c4953d adobe:docid:photoshop:dd188a07-7b69-564b-aaf5-dea024b26b99 adobe:docid:photoshop:ec372213-18fd-cd4d-afd4-500d1ed0fd90 adobe:docid:photoshop:f371a8a5-9074-7f47-bb7e-f6c8df875d39 uuid:16D978AB8608E2118C049209EE178040 xmp.did:4CE3F5882A2068118C14D7D508B81396 catalog.json000066400000000000000000000061571517436701200350370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/themes/cryosphere{ "type": "Catalog", "id": "cryosphere", "stac_version": "1.0.0", "description": "The cryosphere is the part of the Earth's climate system that includes solid precipitation, snow, sea ice, lake and river ice, icebergs, glaciers and ice caps, ice sheets, ice shelves, permafrost, and seasonally frozen ground. The term \"cryosphere\" traces its origins to the Greek word 'kryos' for frost or ice cold. The cryosphere extends globally, existing seasonally or perennially at most latitudes, not just in the Arctic, Antarctic, and mountain regions, and in approximately one hundred countries. Approximately 70% of the Earth's freshwater exists as snow or ice. Snow and ice data are required for weather and climate research and applications. As the cryosphere changes due to climate change, this has major impacts on society, on the availability of freshwater resources, agriculture, transportation, safety and security, hydropower production, recreation, increasing the risk of floods and droughts, and affecting the viability of ecosystems. Most people on Earth depend directly or indirectly on the cryosphere. For example, as all major rivers originate from mountains, the mountain cryosphere plays an important role in providing and regulating freshwater resources for around half of the world's population, including for those living in lowland areas, such as the Ganges-Brahmaputra Delta. Furthermore, alterations and loss of critical snow and ice are increasing the risk of related disasters (WMO). The cryosphere collectively describes all forms of frozen water at the Earth's surface - sea ice, ice sheets, ice caps, glaciers, snow cover, river and lakeice, permafrost, seasonally frozen ground and solid precipitation. It is an important component in the context of climate change as it affects and is affected by changes in temperature. In particular, glaciers, the Greenland ice sheet, polar and mountain permafrost and Arctic sea-ice are expected to be dramatically altered by climate change. A variety of national and international projects and programmes are monitoring changes in the cryosphere and analysing how these changes will develop in the future. They are also looking at the effects of these changes. 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Covering some 70% of the Earthss surface, the ocean is a major driver of the world's weather and climate. It also plays a central role in climate change. The ocean is also a major driver of the global economy, carrying more than 90% of world trade and sustaining the 40% of humanity that lives within 100 km of the coast. Today, the growing impacts of climate change are making ocean observations, research and services more critical than ever before (source: https://www.eionet.europa.eu/gemet/en/concept/5789; https://public.wmo.int/en/our-mandate/focus-areas/oceans). 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Acid rain results when sulfur dioxide (SO2) and nitrogen oxides (NOX) are emitted into the atmosphere and transported by wind and air currents. The SO2 and NOX react with water, oxygen and other chemicals to form sulfuric and nitric acids. 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Alternative spelling \"aeolian landforms.\"", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/26637389-f4f6-47a0-9c3d-17e93ab99dea?gtm_keyword=AEOLIAN%20LANDFORMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Aeolian Landforms" }aeolian-processes/000077500000000000000000000000001517436701200344355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025451517436701200367500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aeolian-processes{ "type": "Catalog", "id": "aeolian-processes", "stac_version": "1.0.0", "description": "The erosion, transport, and deposition of material due to the action of the wind at or near the Earth's surface. 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Usually a term used in ocean color remote sensing to measure radiance from marine aerosols.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7db9eab3-4c7a-4471-a826-a306f178ad3e?gtm_keyword=AEROSOL%20RADIANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Aerosol Radiance" }afforestation-reforestation/000077500000000000000000000000001517436701200365475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025721517436701200410620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/afforestation-reforestation{ "type": "Catalog", "id": "afforestation-reforestation", "stac_version": "1.0.0", "description": "Afforestation: the establishment of trees on an area that has lacked forest cover for a very long time or has never been forested. Reforestation: the natural or artificial restocking (i.e., planting, seeding) of an area with forest trees. Also called forest regeneration. [Government of British Columbia, Canada, Ministry of Forests, Glossary of Forest Terms: http://www.for.gov.bc.ca/pab/publctns/glossary/glossary.htm]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b3a1e091-0bc2-4c9b-a89c-bd003fdd5889?gtm_keyword=AFFORESTATION/REFORESTATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Afforestation/Reforestation" }agricultural-expansion/000077500000000000000000000000001517436701200355215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021741517436701200400320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/agricultural-expansion{ "type": "Catalog", "id": "agricultural-expansion", "stac_version": "1.0.0", "description": "The expansion of agricultural practices into non-agricultural regions and its impacts on non-agricultural terrestrial and marine ecosystems of the world.[Woods Hole Research Center]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d076e628-320a-477b-aad9-07d87ca04993?gtm_keyword=AGRICULTURAL%20EXPANSION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Agricultural Expansion" }air-temperature/000077500000000000000000000000001517436701200341275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020471517436701200364370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/air-temperature{ "type": "Catalog", "id": "air-temperature", "stac_version": "1.0.0", "description": "The temperature indicated by a thermometer exposed to the air in a place sheltered from direct solar radiation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f634ab55-de40-4d0b-93bc-691bf5408ccb?gtm_keyword=AIR%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Air Temperature" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/airglow/000077500000000000000000000000001517436701200325445ustar00rootroot00000000000000catalog.json000066400000000000000000000020541517436701200347730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/airglow{ "type": "Catalog", "id": "airglow", "stac_version": "1.0.0", "description": "A faint luminescence of the night sky originating in photochemical reactions in the upper atmosphere. Also referred to as geocoronal emission.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bf22e55d-fbff-4eaf-8592-68be24e2bc32?gtm_keyword=AIRGLOW>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Airglow" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/albedo/000077500000000000000000000000001517436701200323265ustar00rootroot00000000000000catalog.json000066400000000000000000000040601517436701200345540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/albedo{ "type": "Catalog", "id": "albedo", "stac_version": "1.0.0", "description": "Albedo is the ratio of the radiation (radiant energy or luminous energy) reflected by a surface to that incident on it. Snow and cloud surfaces have a high albedo, because most of the energy of the visible solar spectrum is reflected. Vegetation and ocean surfaces have low albedo, because they absorb a large fraction of the energy. Clouds are the chief cause of variations in the Earth's albedo.The land surface albedo is the ratio of the radiant flux reflected from Earth's surface to the incident flux. It is a key forcing parameter controlling the partitioning of radiative energy between the atmospheric and surface. In the case of vegetation, a reference surface is typically defined at or near the top of the canopy and must be specified explicitly. Surface albedo depends on natural variations, highly variable in space and time as a result of terrestrial properties changes, and with illumination conditions and human activities and is a sensitive indicator of environmental vulnerability.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/48c16952-b6e0-40cd-b6dd-7cdbf5a443a1?gtm_keyword=ALBEDO>m_scheme=Earth%20Sciencehttps://gcos.wmo.int/en/essential-climate-variables/albedo\"", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Cryosphere" }, { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Albedo" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/alkalinity/000077500000000000000000000000001517436701200332415ustar00rootroot00000000000000catalog.json000066400000000000000000000025141517436701200354710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/alkalinity{ "type": "Catalog", "id": "alkalinity", "stac_version": "1.0.0", "description": "The alkalinity of seawater is the combined negative charges due to hydrogen carbonate and carbonate ions expressed in molal concentrations. Alkalinity is based on seawater being electrically neutral and is determined by titration (and therefore given the subscript t).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4eab7956-e59e-4615-8d5c-39a16faa1f27?gtm_keyword=ALKALINITY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a74059fe-6b15-4b55-8ea5-4a65b66c7e11?gtm_keyword=ALKALINITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Alkalinity" }alpha-particle-flux/000077500000000000000000000000001517436701200346635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023301517436701200371660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/alpha-particle-flux{ "type": "Catalog", "id": "alpha-particle-flux", "stac_version": "1.0.0", "description": "An alpha particle has positive charge and consists of two protons and two neutrons (the nucleus of a helium atom). Alpha particles can cause ionization of neutral atoms. Flux is the rate of flow through a reference surface, measured in particles per unit area.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2217b742-b21a-4230-ba34-1af30132135d?gtm_keyword=ALPHA%20PARTICLE%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Alpha Particle Flux" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/alpine-tundra/000077500000000000000000000000001517436701200336435ustar00rootroot00000000000000catalog.json000066400000000000000000000023401517436701200360700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/alpine-tundra{ "type": "Catalog", "id": "alpine-tundra", "stac_version": "1.0.0", "description": "Habitat found in the zone on mountain tops between permanent snow and the cold limits of trees, or in arctic regions, characterized by very low winter temperatures, short cool summers, permafrost below a surface layer subject to summer melt, short growing season, and low precipitation.[The Nature Conservancy]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/76589134-8d93-4e45-8476-f04497181d14?gtm_keyword=ALPINE/TUNDRA>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Alpine/Tundra" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ambient-noise/000077500000000000000000000000001517436701200336325ustar00rootroot00000000000000catalog.json000066400000000000000000000021531517436701200360610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ambient-noise{ "type": "Catalog", "id": "ambient-noise", "stac_version": "1.0.0", "description": "The acoustic energy above which a single desired signal is heard. In the oceans, ambient noise can be produced physically (e.g. wind, rain, bubbles) or biologically (e.g. whales, dolphins).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a74abbc1-dd75-4f22-bbec-7d45091a4593?gtm_keyword=AMBIENT%20NOISE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ambient Noise" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ammonia/000077500000000000000000000000001517436701200325215ustar00rootroot00000000000000catalog.json000066400000000000000000000035371517436701200347570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ammonia{ "type": "Catalog", "id": "ammonia", "stac_version": "1.0.0", "description": "Ammonia (NH3) is a reduced nitrogen gas and is emitted in large quantities from animal feedstocks, sewerage plants, etc. Ammonia is very soluble in water and is scavenged from the lower atmosphere by clouds. Ammonia is the most abundant alkaline gas in the atmosphere and plays a large role in neutralizing acidity from sulfuric and nitric acids via formation of the ammonium ion. In Oceanography ammonia is a gaseous compound of one nitrogen atom and three hydrogen atoms, NH3, that is highly water-soluble. A dissolved form, ammonium, NH4+, is a nutrient and is listed as a detailed variable under ammonia.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6a745a5e-829c-43f5-8d5a-6fb549e7b81b?gtm_keyword=AMMONIA>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6a745a5e-829c-43f5-8d5a-6fb549e7b81b?gtm_keyword=AMMONIA>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/64d17528-29b4-4e2e-843a-7f7035bb5717?gtm_keyword=AMMONIA>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Ammonia" }angstrom-exponent/000077500000000000000000000000001517436701200345115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024671517436701200370270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/angstrom-exponent{ "type": "Catalog", "id": "angstrom-exponent", "stac_version": "1.0.0", "description": "Aerosol Angstrom Coefficient is an exponent that expresses the spectral dependence of aerosol optical thickness, with the wavelength of incident light. The Angstrom exponent provides additional information on the particle size (larger the exponent, the smaller the particle size), aerosol phase function and the relative magnitude of aerosol radiances at different wavelengths.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6e7306a1-79a5-482e-b646-74b75a1eaa48?gtm_keyword=ANGSTROM%20EXPONENT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Angstrom Exponent" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/anisotropy/000077500000000000000000000000001517436701200333075ustar00rootroot00000000000000catalog.json000066400000000000000000000022271517436701200355400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/anisotropy{ "type": "Catalog", "id": "anisotropy", "stac_version": "1.0.0", "description": "Anisotropy is the characteristic of a surface for which a physical property, such as reflectivity, varies in value with the direction in or along which the measurement is made.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/31a14270-6275-4155-961f-b78b60ee05f7?gtm_keyword=ANISOTROPY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Anisotropy" }antarctic-oscillation/000077500000000000000000000000001517436701200353075ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026031517436701200376150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/antarctic-oscillation{ "type": "Catalog", "id": "antarctic-oscillation", "stac_version": "1.0.0", "description": "The Antarctic Oscillation (AAO) is the dominant pattern of non-seasonal tropospheric circulation variations south of 20S, and it is characterized by pressure anomalies of one sign centered in the Antarctic and anomalies of the opposite sign centered about 40-50S. The AAO is also referred to as the Southern Annular Mode (SAM). There is a Northern Hemisphere analog to the AAO, and it is called the Arctic Oscillation (or Northern Annular Mode).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/511e6c26-8806-4d88-9763-a136a6957042?gtm_keyword=ANTARCTIC%20OSCILLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Antarctic Oscillation" }anthropogenic-greenhouse-gas-fluxes/000077500000000000000000000000001517436701200400775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026741517436701200424150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/anthropogenic-greenhouse-gas-fluxes{ "type": "Catalog", "id": "anthropogenic-greenhouse-gas-fluxes", "stac_version": "1.0.0", "description": "Global anthropogenic emissions of Greenhouse gases (CO2, CH4, N2O and F-gases) continue to be emitted at an annual rate that is not yet significantly decreasing. The global warming potential of each of the greenhouse gases and their long residence time in the atmosphere are causing increased surface temperature and climate change. The scientific community illustrated with inverse models and data assimilation how consistent the reported inventories and the atmospheric observations are, which is taken up also in few national inventory reports (e.g. UK, Switzerland, Australia).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/ghg-fluxes/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Anthropogenic Greenhouse Gas Fluxes" }anthropogenic-water-use/000077500000000000000000000000001517436701200355735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026761517436701200401130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/anthropogenic-water-use{ "type": "Catalog", "id": "anthropogenic-water-use", "stac_version": "1.0.0", "description": "Data on water extractions by sector and available renewable freshwater provide key information on the availability of freshwater and the amount of water stress in a country. Climate Change is projected to reduce renewable surface-water and groundwater resources significantly in most dry subtropical regions. In contrast, water resources are projected to increase at high latitudes. Climate change is also projected to reduce raw water quality, posing risks to drinking water quality, even with conventional treatment. The availability of freshwater plays a crucial role in food production and food security.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/water-use/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Anthropogenic Water Use" }anticyclones-cyclones/000077500000000000000000000000001517436701200353315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023301517436701200376340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/anticyclones-cyclones{ "type": "Catalog", "id": "anticyclones-cyclones", "stac_version": "1.0.0", "description": "An anticyclone is a dome of air that exerts relatively high atmospheric pressure compared with the surrounding air at a given level. A cyclone is a weather system characterised by relatively low surface air pressure at a given level and a closed cyclonic wind circulation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/178694aa-5f0a-4de5-a193-74e323dc6aa9?gtm_keyword=ANTICYCLONES/CYCLONES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Anticyclones/Cyclones" }aphotic-photic-zone/000077500000000000000000000000001517436701200347055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023271517436701200372160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aphotic-photic-zone{ "type": "Catalog", "id": "aphotic-photic-zone", "stac_version": "1.0.0", "description": "Aphotic zone in the ocean, beneath the photic zone, where light intensities are not sufficient to enable photosynthetic production. Photic zone is the illuminated zone of the ocean where light intensities are sufficient for photosynthetic primary production. Also known as the euphotic zone.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/4e8943e7-daf9-41f2-8a5e-b415b82e6381?gtm_keyword=APHOTIC/PHOTIC%20ZONE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Aphotic/Photic Zone" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aquaculture/000077500000000000000000000000001517436701200334335ustar00rootroot00000000000000catalog.json000066400000000000000000000025411517436701200356630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aquaculture{ "type": "Catalog", "id": "aquaculture", "stac_version": "1.0.0", "description": "The farming of aquatic organisms including fish, molluscs, crustaceans and aquatic plants with some sort of intervention in the rearing process to enhance production, such as regular stocking, feeding, protection from predators, etc. Also referred to as Mariculture - Marine fish farming (aquaculture). Raising of marine animals and plants in the controlled or selected aquatic environments for any commercial, recreational, or public purpose.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f6c057c9-c789-4cd5-ba22-e9b08aae152b?gtm_keyword=AQUACULTURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Aquaculture" }aquatic-ecosystems/000077500000000000000000000000001517436701200346445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020501517436701200371460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aquatic-ecosystems{ "type": "Catalog", "id": "aquatic-ecosystems", "stac_version": "1.0.0", "description": "The water environments, such as rivers, and oceans in which the life needs of a plant or animal are supplied.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c6455081-132d-4661-bb5f-22edf2f90800?gtm_keyword=AQUATIC%20ECOSYSTEMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Aquatic Ecosystems" }aquifer-recharge/000077500000000000000000000000001517436701200342335ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023771517436701200365510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aquifer-recharge{ "type": "Catalog", "id": "aquifer-recharge", "stac_version": "1.0.0", "description": "The processes involved in the replenishment of water to the zone of saturation.[Dictionary of Earth Science, 5th ed.. 1997. Sybil Parker, ed. in chief. McGraw-Hill.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3609b843-d840-460c-b1a3-d4fcc69a32f6?gtm_keyword=AQUIFER%20RECHARGE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dbeaaf9f-294c-4e45-ba9e-7be8cd449db1?gtm_keyword=AQUIFER%20RECHARGE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Aquifer Recharge" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aquifers/000077500000000000000000000000001517436701200327175ustar00rootroot00000000000000catalog.json000066400000000000000000000021721517436701200351470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aquifers{ "type": "Catalog", "id": "aquifers", "stac_version": "1.0.0", "description": "Pertaining to subsurface rock layers that store and transport water through pore-space within the units.[Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a957363b-2f2c-4169-a656-c2f24933eb72?gtm_keyword=AQUIFERS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Aquifers" }arctic-oscillation/000077500000000000000000000000001517436701200346045ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025321517436701200371130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/arctic-oscillation{ "type": "Catalog", "id": "arctic-oscillation", "stac_version": "1.0.0", "description": "The Arctic Oscillation (AO) is the dominant pattern of non-seasonal sea-level pressure (SLP) variations north of 20N, and it is characterized by SLP anomalies of one sign in the Arctic and anomalies of opposite sign centered about 37-45N. Additional information is available for the Arctic Oscillation (AO) and for the North Atlantic Oscillation (NAO), a close relative of the AO (http://jisao.washington.edu/ao/)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/98e5a7e4-b946-474a-8214-c1b7b3e5f976?gtm_keyword=ARCTIC%20OSCILLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Arctic Oscillation" }ash-dust-composition/000077500000000000000000000000001517436701200351125ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017631517436701200374260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ash-dust-composition{ "type": "Catalog", "id": "ash-dust-composition", "stac_version": "1.0.0", "description": "The matter and/or chemicals which constitutes ash/dust.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/372b4016-80ab-4126-b6d1-e847bbf0b44f?gtm_keyword=ASH/DUST%20COMPOSITION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Ash/Dust Composition" }atlantic-meridional-mode/000077500000000000000000000000001517436701200356635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000041101517436701200401640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atlantic-meridional-mode{ "type": "Catalog", "id": "atlantic-meridional-mode", "stac_version": "1.0.0", "description": "The mode describes the meridional variabilty in the tropical Atlantic Ocean. Calculation Method: The AMM spatial pattern is defined via applying Maximum Covariance Analysis (MCA) to sea surface temperature (SST; left field) and the zonal and meridional components of the 10m wind field (right field) over the time period 1950-2005, from the NCEP/NCAR Reanalysis. To define the spatial pattern, data are defined over the region (21S-32N, 74W-15E), and spatially smoothed (three longitude by two latitude points). The seasonal cycle is removed, data are detrended, a three-month running mean is applied to the data, and the linear fit to the Cold Tongue Index (a measure of ENSO variability) is subtracted from each spatial point. Spatial patterns are defined as the first left (SST) and right (winds) maps resulting from singular value decomposition of the covariance matrix between the two fields. The AMM time series below is calculated via projecting SST or the 10m wind field (detrended, CTI removed, but no 3-month running mean) onto the spatial structure resulting from the MCA above. Time Interval: Monthly Time Coverage: 1948 to present", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f141c968-94d4-4c42-8877-bbe34bb84b26?gtm_keyword=ATLANTIC%20MERIDIONAL%20MODE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Atlantic Meridional Mode" }atlantic-multidecadal-oscillation-long-version/000077500000000000000000000000001517436701200422045ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025141517436701200445130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atlantic-multidecadal-oscillation-long-version{ "type": "Catalog", "id": "atlantic-multidecadal-oscillation-long-version", "stac_version": "1.0.0", "description": "The timeseries are calculated from the Kaplan SST dataset which is updated monthly. It is basically an index of the N Atlantic temperatures. Time time series are created; a smoothed version and an unsmoothed version. In addition, two files starting at 1948 are produced to be used in the Correlation webpages.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dcdb6cf1-48a7-488e-aeb8-e6c0b36752d4?gtm_keyword=ATLANTIC%20MULTIDECADAL%20OSCILLATION%20LONG%20VERSION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Atlantic Multidecadal Oscillation Long Version" }atmospheric-carbon-dioxide/000077500000000000000000000000001517436701200362245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024361517436701200405360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atmospheric-carbon-dioxide{ "type": "Catalog", "id": "atmospheric-carbon-dioxide", "stac_version": "1.0.0", "description": "One of the major greenhouse gases. Atmospheric carbon dioxide is caused mainly by the burning of fossil fuels and deforestation. The chemical formula for carbon dioxide is CO2. 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It is one of the longest-lived,naturally occurring atmospheric carbon compounds. The recent change in tropospheric CO content may portend a change in the balance between oxidants and reductants in the atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/88a1b416-1589-45a4-9923-452975ec35c7?gtm_keyword=ATMOSPHERIC%20CARBON%20MONOXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Atmospheric Carbon Monoxide" }atmospheric-conductivity/000077500000000000000000000000001517436701200360615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022351517436701200403700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atmospheric-conductivity{ "type": "Catalog", "id": "atmospheric-conductivity", "stac_version": "1.0.0", "description": "A unit measure of electrical conduction; the facility with which a substance conducts electricity, as represented by the current density per unit electrical- potential gradient in the direction of flow.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/12b1cc7c-cb81-4851-9163-19c04a8ffd1c?gtm_keyword=ATMOSPHERIC%20CONDUCTIVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Atmospheric Conductivity" }atmospheric-emitted-radiation/000077500000000000000000000000001517436701200367405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020551517436701200412470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atmospheric-emitted-radiation{ "type": "Catalog", "id": "atmospheric-emitted-radiation", "stac_version": "1.0.0", "description": "The part of the terrestrial radiation which is emitted by the atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1ed8ac8d-3a66-4b86-be30-a5b79b3806d2?gtm_keyword=ATMOSPHERIC%20EMITTED%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Atmospheric Emitted Radiation" }atmospheric-heating/000077500000000000000000000000001517436701200347545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023311517436701200372600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atmospheric-heating{ "type": "Catalog", "id": "atmospheric-heating", "stac_version": "1.0.0", "description": "Atmospheric heating has been used to refer to the heat transfer or heat balance of the Earth's atmosphere. 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Heat balance is the balance of the gains and losses of heat at any point in the atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/06a24fd2-38b6-4a4a-a0cf-1abf149283e2?gtm_keyword=ATMOSPHERIC%20HEATING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Atmospheric Heating" }atmospheric-nitric-acid/000077500000000000000000000000001517436701200355235ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024221517436701200400300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atmospheric-nitric-acid{ "type": "Catalog", "id": "atmospheric-nitric-acid", "stac_version": "1.0.0", "description": "A very soluble, acidic gas, formula HNO3, the end product of the oxidation of emitted gases. It is a major component of acidic precipitation in continental regions. 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The radiation budget takes into account the sum of all radiation, transferred in all directions, through the Earth's atmosphere and to and from space. The radiation budget (or radiation balance) controls the Earth's temperature and rainfall.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4ad0c52d-6449-48ff-8678-adc6b2cebcb7?gtm_keyword=ATMOSPHERIC%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Atmospheric Radiation" }atmospheric-stability/000077500000000000000000000000001517436701200353415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023001517436701200376410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/atmospheric-stability{ "type": "Catalog", "id": "atmospheric-stability", "stac_version": "1.0.0", "description": "The characteristic of a system if sufficiently small disturbances have only small effects, either decreasing in amplitude or oscillating periodically; it is asymptotically stable if the effect of small disturbances vanishes for long time periods.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ff5d5c12-74d9-435d-9164-1c9d69f967d7?gtm_keyword=ATMOSPHERIC%20STABILITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Atmospheric Stability" }attenuation-transmission/000077500000000000000000000000001517436701200361035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023411517436701200404100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/attenuation-transmission{ "type": "Catalog", "id": "attenuation-transmission", "stac_version": "1.0.0", "description": "Attenuation is the exponential loss of light intensity as light propagates through water. 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Transmission is the measurement of the percentage of light received at a photo cell placed at fixed distances from a light source.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/71c78d69-9cfe-48e9-8dd2-9c75acf22283?gtm_keyword=ATTENUATION/TRANSMISSION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Attenuation/Transmission" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aurorae/000077500000000000000000000000001517436701200325365ustar00rootroot00000000000000catalog.json000066400000000000000000000023221517436701200347630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/aurorae{ "type": "Catalog", "id": "aurorae", "stac_version": "1.0.0", "description": "A faint visual phenomenon associated with geomagnetic activity, which occurs mainly in the high-latitude night sky. Typical auroras are 100 to 250 km above the ground. The phenomenon caused by collisions between charged particles, atoms, and ions in the Earth's ionosphere and upper atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/792cf9f0-6d24-4de8-902c-b74e42c74fd3?gtm_keyword=AURORAE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Aurorae" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/avalanche/000077500000000000000000000000001517436701200330225ustar00rootroot00000000000000catalog.json000066400000000000000000000020421517436701200352460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/avalanche{ "type": "Catalog", "id": "avalanche", "stac_version": "1.0.0", "description": "Pertaining to the measuerment of a large mass of snow, ice, soil, rock, falling rapidly from heights far above a lowland area.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e1dbe955-7285-4df2-a854-07693fce44ec?gtm_keyword=AVALANCHE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Avalanche" }barometric-altitude/000077500000000000000000000000001517436701200347615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024701517436701200372710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/barometric-altitude{ "type": "Catalog", "id": "barometric-altitude", "stac_version": "1.0.0", "description": "Also called Pressure Altitude. Barometric Altitude is the altitude which corresponds to a given value of atmospheric pressure according to the ICAO standard atmosphere. It is the indicated altitude of a pressure altimeter at an altimeter setting of 29.92 inches of mercury (1013.2 mb); therefore it is the indicated altitude above the 1013.2 mb constant-pressure surface. 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They usually occur in chains, consisting of anything from a few islands to more than a dozen. Elongate sand bar formed parallel to the shore in areas of considerable sediment flux, but separated from shore by a lagoon, and pierced at intervals by inlets through which the sea communicates with lagoon and river.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7e28f2e0-a641-4085-be07-366ed6e701f4?gtm_keyword=BARRIER%20ISLANDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/128db882-0522-4a5e-ac69-81d05986a645?gtm_keyword=BARRIER%20ISLANDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6e3135e9-6be6-4995-a5df-022f6a0cf45b?gtm_keyword=BARRIER%20ISLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Barrier Islands" }basal-melt-rate/000077500000000000000000000000001517436701200337735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032501517436701200363000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/basal-melt-rate{ "type": "Catalog", "id": "basal-melt-rate", "stac_version": "1.0.0", "description": "The basal melt rate of ice shelves has been of glaciological interest, as it represents a major component of the overall ice-shelf mass budget. From an oceanographic perspective, measurements of basal melt rate are direct measurements of buoyancy flux into the ocean at the ice base, and also give an indication of the heat flux from the ocean. Melt rates clearly depend on the ocean properties within the cavity, and the ocean circulation that carries heat and salt around the system. This means that basal melt rates are an excellent diagnostic for the performance of models in predicting both the water�s circulation within a sub-ice-shelf cavity, and its interaction with the overlying ice.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.cambridge.org/core/journals/journal-of-glaciology/article/groundbased-radar-for-measuring-vertical-strain-rates-and-timevarying-basal-melt-rates-in-ice-sheets-and-shelves/B952737EB6DDB3D129DF12FC206DC3EB", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Basal Melt Rate" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bathymetry/000077500000000000000000000000001517436701200332705ustar00rootroot00000000000000catalog.json000066400000000000000000000017551517436701200355260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bathymetry{ "type": "Catalog", "id": "bathymetry", "stac_version": "1.0.0", "description": "The measurement and charting of the spatial variation of the ocean depths.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/80d79c7e-6c64-4ada-bfcc-4093969758a5?gtm_keyword=BATHYMETRY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Bathymetry" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/beaches/000077500000000000000000000000001517436701200324725ustar00rootroot00000000000000catalog.json000066400000000000000000000035321517436701200347230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/beaches{ "type": "Catalog", "id": "beaches", "stac_version": "1.0.0", "description": "Geological landform along the shoreline of an ocean, sea or lake. It usually consists of loose particles which are often composed of rock, such as sand, gravel, shingle, pebbles, waves or cobblestones. A zone of unconsolidated particles extending from below water level to the edge of the coastal zone.[Garrison, T. 1993. Oceanography, An Invitation to Marine Science. Wadsworth Publishing Co., p. 516.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a61d1705-a6b7-4df3-9f8e-57e26029629c?gtm_keyword=BEACHES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/68b4238d-c10f-4f59-9c23-820563107d12?gtm_keyword=BEACHES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4ba798ce-ad0b-4809-94fa-ec1b8e294252?gtm_keyword=BEACHES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6a5d3e4d-86d1-4863-bfe6-f8e2899fab0e?gtm_keyword=BEACHES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ 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"https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/4beaeec9-0750-44e6-8fb4-8d0085efc82e?gtm_keyword=BEDROCK%20LITHOLOGY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Bedrock Lithology" }benthic-heat-flow/000077500000000000000000000000001517436701200343215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021141517436701200366240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/benthic-heat-flow{ "type": "Catalog", "id": "benthic-heat-flow", "stac_version": "1.0.0", "description": "Pertaining to the heat disapation through the deep oceanic crust from the Earth's mantle, which decreases with distance from the midocean ridge.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bf3d6238-d0d6-4e73-82e6-5e38bc9291bb?gtm_keyword=BENTHIC%20HEAT%20FLOW>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Benthic Heat Flow" 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"href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Benthic" }biochemical-release/000077500000000000000000000000001517436701200346765ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022021517436701200371770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biochemical-release{ "type": "Catalog", "id": "biochemical-release", "stac_version": "1.0.0", "description": "Biochemical release is the discharge of a chemical substance from any number of sources that can result in human health and environmental hazards.[Centers for Disease Control and Prevention (CDC)]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/de89c42c-206a-4573-a2af-edffe5ddd6bf?gtm_keyword=BIOCHEMICAL%20RELEASE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Biochemical Release" }biogenic-sediments/000077500000000000000000000000001517436701200345715ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020231517436701200370730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biogenic-sediments{ "type": "Catalog", "id": "biogenic-sediments", "stac_version": "1.0.0", "description": "Sediments of biogenic origin, composed mostly of shells of silica producing organisms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ff0108e2-8415-423c-85ed-07792dbef534?gtm_keyword=BIOGENIC%20SEDIMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Biogenic Sediments" }biogeochemical-cycles/000077500000000000000000000000001517436701200352335ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023271517436701200375440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biogeochemical-cycles{ "type": "Catalog", "id": "biogeochemical-cycles", "stac_version": "1.0.0", "description": "The transport of materials on the Earth, as a result of biological, geological, and chemical processes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f1e6caa5-2c97-407d-a0db-7bf01794d8e3?gtm_keyword=BIOGEOCHEMICAL%20CYCLES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9015e65f-bbae-4855-a4b6-1bfa601752bd?gtm_keyword=BIOGEOCHEMICAL%20CYCLES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Biogeochemical Cycles" }biogeochemical-processes/000077500000000000000000000000001517436701200357575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026351517436701200402720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biogeochemical-processes{ "type": "Catalog", "id": "biogeochemical-processes", "stac_version": "1.0.0", "description": "A pathway by which a chemical element or molecule moves through both biotic (biosphere) and abiotic (lithosphere, atmosphere, and hydrosphere) compartments of Earth. The term \"biogeochemical\" tells us that biological; geological and chemical factors are all involved. On the other hand the circulation of chemical nutrients like carbon, oxygen, nitrogen, phosphorus, calcium, and water etc. through the biological and physical world are known as biogeochemical cycle.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/b472632f-8e67-4892-9896-1c14c5089682?gtm_keyword=BIOGEOCHEMICAL%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Biogeochemical Processes" }biological-hazards/000077500000000000000000000000001517436701200345575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023161517436701200370660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biological-hazards{ "type": "Catalog", "id": "biological-hazards", "stac_version": "1.0.0", "description": "Living organisms or derivates(e.g., viruses, bacteria, fungi, and mammal and bird antigens) that can cause harmful health effects when inhaled, swallowed, or otherwise taken into the body.[United States Environmental Protection Agency (U.S. EPA) Terminology Reference System]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bb73336e-9113-426b-ac99-2b7c143b22ca?gtm_keyword=BIOLOGICAL%20HAZARDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Biological Hazards" }bioluminescence/000077500000000000000000000000001517436701200341655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017231517436701200364750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bioluminescence{ "type": "Catalog", "id": "bioluminescence", "stac_version": "1.0.0", "description": "The production of visible light by organisms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/90f97e5b-f883-4a34-a3bc-7dea8d96eb7d?gtm_keyword=BIOLUMINESCENCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Bioluminescence" }biomass-burning/000077500000000000000000000000001517436701200341205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027151517436701200364320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biomass-burning{ "type": "Catalog", "id": "biomass-burning", "stac_version": "1.0.0", "description": "Biomass burning is the burning of organic matter, such as, wood or crop wastes,that can be burned or converted into gaseous or liquid fuels. Useful biomass includes wood, wood residues left over from the timber industry, crop residues, charcoal, manure, urban waste, industrial wastes, and municipal sewage. Some of these fuels can be burned directly, others are converted to methane or a gas.[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. Belmont, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9d7eed04-9c49-4024-8d0f-06474cc38bbc?gtm_keyword=BIOMASS%20BURNING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Biomass Burning" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biomass/000077500000000000000000000000001517436701200325355ustar00rootroot00000000000000catalog.json000066400000000000000000000021631517436701200347650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biomass{ "type": "Catalog", "id": "biomass", "stac_version": "1.0.0", "description": "Mass of biological material. Usually the total mass of a particular group or category; for example, the biomass of producer organisms.[Nebel, Bernard J and Wright, Richard T. Environmental Science. 1998. Prentice Hall.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/686feba9-87ba-474c-8280-7f67565cfb2f?gtm_keyword=BIOMASS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Biomass" }biomedical-chemicals/000077500000000000000000000000001517436701200350375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020211517436701200373370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/biomedical-chemicals{ "type": "Catalog", "id": "biomedical-chemicals", "stac_version": "1.0.0", "description": "Compounds derived from marine-living resources, useful for medicinal purposes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/97636cf7-189f-4953-9807-64fbcc60f72c?gtm_keyword=BIOMEDICAL%20CHEMICALS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Biomedical Chemicals" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bioturbation/000077500000000000000000000000001517436701200336015ustar00rootroot00000000000000catalog.json000066400000000000000000000020161517436701200360260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bioturbation{ "type": "Catalog", "id": "bioturbation", "stac_version": "1.0.0", "description": "The physical mixing of sediments caused by the burrowing and feeding activities of benthic organisms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/14c8935f-8a46-4111-8f2e-bec8bbae5d13?gtm_keyword=BIOTURBATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Bioturbation" }bivariate-enso-timeseries-index/000077500000000000000000000000001517436701200372055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000034201517436701200415110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bivariate-enso-timeseries-index{ "type": "Catalog", "id": "bivariate-enso-timeseries-index", "stac_version": "1.0.0", "description": "The BEST index was designed to be simple to calculate and to provide a long time period ENSO index for research purposes. Nino 3.4 has traditionally been used as a measure of ENSO strength in the tropical Pacific. However, it's use alone neglects explicit atmospheric processes. By adding the SOI or Southern Oscillation Index (the pressure difference between Tahiti and Darwin), these processes are more directly included. In addition, older SST values are at least partially reconstructed and not explicitly measured. By including the SOI, which is better measured historically, the effect of biases in the SST data introduced by the reconstruction technique are reduced. A more detailed explanation how the index was created is available: http://www.esrl.noaa.gov/psd/people/cathy.smith/best/details.html.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a69f9faf-f730-4eba-9e38-0f72b0544bbe?gtm_keyword=BIVARIATE%20ENSO%20TIMESERIES%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Bivariate Enso Timeseries Index" }blocking-index/000077500000000000000000000000001517436701200337165ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027401517436701200362260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/blocking-index{ "type": "Catalog", "id": "blocking-index", "stac_version": "1.0.0", "description": "Blocking in the southern hemisphere typically occurs at lower latitudes when compared with the northern hemisphere. The index follows Tibaldi et al. (1994). The European blocking index is based on observations of pentad (5-day average) wind over the region 15W to 25E and 35n to 55N. If the pentad zonal wind equals the climatological value for that time period, the index is zero. If the pentad zonal wind is less than average the index is postive, while the opposite is true if the index is negative. Values close to +/- 1 indicate relatively strong events.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2aeb8e10-b7f8-429e-b9f6-968ece330741?gtm_keyword=BLOCKING%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Blocking Index" }boundary-layer-temperature/000077500000000000000000000000001517436701200363115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021611517436701200406160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/boundary-layer-temperature{ "type": "Catalog", "id": "boundary-layer-temperature", "stac_version": "1.0.0", "description": "Air temperature measured within the the bottom layer (atmospheric boundary layer) of the troposphere that is in contact with the surface of the earth.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e9c3b6ca-a534-4f3e-82de-b8b921e8f312?gtm_keyword=BOUNDARY%20LAYER%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Boundary Layer Temperature" }boundary-layer-winds/000077500000000000000000000000001517436701200351005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023141517436701200374050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/boundary-layer-winds{ "type": "Catalog", "id": "boundary-layer-winds", "stac_version": "1.0.0", "description": "Winds measured in the layer of fluid near a boundary that is affected by friction against that boundary surface, and possibly by transport of heat and other variables (such as winds) across that surface. In meteorology, this is the atmospheric boundary layer.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8bb1dca3-9793-4120-b0ea-f27a5b81f259?gtm_keyword=BOUNDARY%20LAYER%20WINDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Boundary Layer Winds" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bowen-ratio/000077500000000000000000000000001517436701200333265ustar00rootroot00000000000000catalog.json000066400000000000000000000022041517436701200355520ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bowen-ratio{ "type": "Catalog", "id": "bowen-ratio", "stac_version": "1.0.0", "description": "The ratio of the amount of sensible to that of latent heat lost by a surface to the atmosphere by the processes of conduction and turbulence. See J. M. Lewis. The story behind the Bowen ratio. Bull. Am. Meteor. Soc., 76:-2443, 1995.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/a9b6a001-42b2-48db-b132-62e69f03b8cb?gtm_keyword=BOWEN%20RATIO>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Bowen Ratio" }bromine-monoxide/000077500000000000000000000000001517436701200342745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031501517436701200366000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/bromine-monoxide{ "type": "Catalog", "id": "bromine-monoxide", "stac_version": "1.0.0", "description": "Bromine Monoxide (BrO) is one of many bromine (Br)-containing compounds that occur in the atmosphere from both natural and anthropogenic sources. The major source compounds are CH3Br (both natural and anthropogenic in origin), the halons (manufactured for use as fire suppressants), and dibromomethane CH2Br2 (emitted from the oceans). Destruction of these compounds results in the formation of a suite of inorganic Br-containing species, including bromine atoms (Br), bromine monoxide (BrO), bromine nitrate (BrNO3), hypobromous acid (HOBr), and hydrogen bromide (HBr). The chemistry that acts to interconvert these inorganic species results in depletion of ozone in the stratosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/39c478bd-620e-455c-904d-4621965e376c?gtm_keyword=BROMINE%20MONOXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Bromine Monoxide" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/buoy-position/000077500000000000000000000000001517436701200337205ustar00rootroot00000000000000catalog.json000066400000000000000000000017751517436701200361600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/buoy-position{ "type": "Catalog", "id": "buoy-position", "stac_version": "1.0.0", "description": "The latitudinal/longitudinal position of a buoy with respect to ocean currents.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/81f51367-8467-4183-baea-6b526780fcc7?gtm_keyword=BUOY%20POSITION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Buoy Position" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/burned-area/000077500000000000000000000000001517436701200332655ustar00rootroot00000000000000catalog.json000066400000000000000000000020741517436701200355160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/burned-area{ "type": "Catalog", "id": "burned-area", "stac_version": "1.0.0", "description": "Characterized by deposits of charcoal and ash, removal of vegetation, and alteration of the vegetation structure, Pereira et al. 1997, Roy et al. 1999", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/436b098d-e4d9-4fbd-9ede-05675e111eee?gtm_keyword=BURNED%20AREA>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Burned Area" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/calcium/000077500000000000000000000000001517436701200325155ustar00rootroot00000000000000catalog.json000066400000000000000000000032651517436701200347510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/calcium{ "type": "Catalog", "id": "calcium", "stac_version": "1.0.0", "description": "An alkaline earth metal, calcium is a reactive pale yellow metal that forms a dark oxide-nitride layer when exposed to air. Its physical and chemical properties are most similar to its heavier homologues strontium and barium. It is the fifth most abundant element in Earth's crust and the third most abundant metal, after iron and aluminum.[World Health Organization] Also refers to a measurement of Calcium in various forms in the soil, such CaCO3[United States Department of Agriculture]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7367c08c-304f-4ce7-b716-975f835ba711?gtm_keyword=CALCIUM>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9409ee0f-2b72-4472-9d61-f8072981a6cb?gtm_keyword=CALCIUM>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e5a658d5-74db-4022-894f-edc8d297767a?gtm_keyword=CALCIUM>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Calcium" }canopy-characteristics/000077500000000000000000000000001517436701200354635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022431517436701200377710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/canopy-characteristics{ "type": "Catalog", "id": "canopy-characteristics", "stac_version": "1.0.0", "description": "Canopy characteristics refer to Global Change Master Directory detailed variables under the variable, Canopy Characteristics: canopy height, canopy position, canopy reflectance, canopy resistance, and canopy temperature.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/abbba948-9b77-4e19-a855-49a7fbc17696?gtm_keyword=CANOPY%20CHARACTERISTICS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Canopy Characteristics" }carbon-dioxide-methane-other-greenhouse-gases/000077500000000000000000000000001517436701200417105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026761517436701200442300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/carbon-dioxide-methane-other-greenhouse-gases{ "type": "Catalog", "id": "carbon-dioxide-methane-other-greenhouse-gases", "stac_version": "1.0.0", "description": "The atmospheric abundance of carbon dioxide (CO2), the dominant human-produced greenhouse gas, has increased by about 50% since pre-industrial times due to the proliferation of fossil fuel combustion. Methane (CH4) is also a strong greenhouse gas; its atmospheric abundance has more than doubled since the pre-industrial era because of human activities. Other significant greenhouse gases include nitrous oxide (N2O), chlorofluorocarbons (CFCs), hydrochlorofluorocarbons (HCFCs), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulphur hexafluoride (SF6).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/ghg", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Carbon Dioxide, Methane & Other Greenhouse Gases" }carbon-dioxide/000077500000000000000000000000001517436701200337105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023101517436701200362110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/carbon-dioxide{ "type": "Catalog", "id": "carbon-dioxide", "stac_version": "1.0.0", "description": "A gaseous compound of one carbon atom and two oxygen atoms, CO2. It is colorless, odorless, incombustible, and is soluble in water. Its dissolution in seawater is important to understanding the global carbon cycle.[Adapted from: Webster's College Dictionary. 1991. Random House.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/26afa886-4866-4536-be3a-6f9db9aacd97?gtm_keyword=CARBON%20DIOXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Carbon Dioxide" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/carbon-flux/000077500000000000000000000000001517436701200333205ustar00rootroot00000000000000catalog.json000066400000000000000000000023461517436701200355530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/carbon-flux{ "type": "Catalog", "id": "carbon-flux", "stac_version": "1.0.0", "description": "Carbon flux refers to the direction and rate of transfer, or flows, of carbon between Earth's carbon pools such as the oceans, atmosphere,land, other living things. 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}cation-exchange-capacity/000077500000000000000000000000001517436701200356515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000040031517436701200401530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cation-exchange-capacity{ "type": "Catalog", "id": "cation-exchange-capacity", "stac_version": "1.0.0", "description": "The sum of exchangeable bases plus total soil acidity at a specific pH value, usually 7.0 or 8.0. When acidity is expressed as salt extractable acidity, the cation exchange capacity (CEC) is called the effective cation exchange capacity (ECEC) because this is considered to be the CEC of the exchanger at the native pH value. It is usually expressed in centimoles of charge per kilogram of exchanger or millimoles of charge per kilogram of exchanger. The sum of exchangeable bases plus total soil acidity at a specific pH value, usually 7.0 or 8.0. When acidity is expressed as salt extractable acidity, the cation exchange capacity (CEC) is called the effective cation exchange capacity (ECEC) because this is considered to be the CEC of the exchanger at the native pH value. It is usually expressed in centimoles of charge per kilogram of exchanger or millimoles of charge per kilogram of exchanger.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5c05e69f-f6db-4296-abd3-3b07e6093579?gtm_keyword=CATION%20EXCHANGE%20CAPACITY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9bad3c7b-daf6-428a-89bd-ce62b074dfcf?gtm_keyword=CATION%20EXCHANGE%20CAPACITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Cation Exchange Capacity" }chemical-decomposition/000077500000000000000000000000001517436701200354405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031621517436701200377470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chemical-decomposition{ "type": "Catalog", "id": "chemical-decomposition", "stac_version": "1.0.0", "description": "The separation of a chemical compound into elements or simpler compounds. It is sometimes defined as the exact opposite of a chemical synthesis. Chemical decomposition is often an undesired chemical reaction. The stability that a chemical compound ordinarily has is eventually limited when exposed to extreme environmental conditions like heat, radiation, humidity or the acidity of a solvent. The details of decomposition processes are generally not well defined, as a molecule may break up into a host of smaller fragments. Chemical decomposition is exploited in several analytical techniques, notably mass spectrometry, traditional gravimetric analysis, and thermogravimetric analysis.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/14d972b3-a587-4994-a021-f1e620b02341?gtm_keyword=CHEMICAL%20DECOMPOSITION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Chemical Decomposition" }chemical-fixation/000077500000000000000000000000001517436701200344055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020441517436701200367120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chemical-fixation{ "type": "Catalog", "id": "chemical-fixation", "stac_version": "1.0.0", "description": "Pertaining to the chemical process by which a substance is converted into a stable compound that can be absorbed.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/84b29fbe-8200-4d21-a1a3-fe84fa4cb132?gtm_keyword=CHEMICAL%20FIXATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Chemical Fixation" }chemical-spills/000077500000000000000000000000001517436701200340725ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022151517436701200363770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chemical-spills{ "type": "Catalog", "id": "chemical-spills", "stac_version": "1.0.0", "description": "The release into the environment of any solid, liquid, or gaseous material that may pose substantial hazard to human health, to property, and to the environment.[United States Environmental Protection Agency (U.S. EPA)]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a5b074da-5e00-4fd9-9c40-cfec771263ee?gtm_keyword=CHEMICAL%20SPILLS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Chemical Spills" }chemical-weathering/000077500000000000000000000000001517436701200347215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021321517436701200372240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chemical-weathering{ "type": "Catalog", "id": "chemical-weathering", "stac_version": "1.0.0", "description": "Pertaining to the breakdown of an existing rock or mineral through chemical, as opposed to physical, means; i.e., dissolution of limestone by acidic groundwater.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/7e140a1e-385d-4dd3-8b08-6239b082e35e?gtm_keyword=CHEMICAL%20WEATHERING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Chemical Weathering" }chlorinated-hydrocarbons/000077500000000000000000000000001517436701200360105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020421517436701200403130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chlorinated-hydrocarbons{ "type": "Catalog", "id": "chlorinated-hydrocarbons", "stac_version": "1.0.0", "description": "The presence of pesticides or PCB (POLYCHLORINATED BIPHENYL) in the Atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cdab2cca-6767-427e-b464-09fe26ec59db?gtm_keyword=CHLORINATED%20HYDROCARBONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Chlorinated Hydrocarbons" }chlorine-dioxide/000077500000000000000000000000001517436701200342475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030661517436701200365610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chlorine-dioxide{ "type": "Catalog", "id": "chlorine-dioxide", "stac_version": "1.0.0", "description": "ClO2, a radical, undergoes photodecomposition in the stratosphere where the products of this reaction react with ozone. Since this is a photochemical reaction it only takes place while the sun is up. Experiments over Antarctica have shown a direct relation between polar ozone loss and the increase in halocarbon chemistry, which comes from anthropogenic sources. Scientist are currently looking at the molecular behavior of chlorine dioxide in the atmosphere in order to understand its role in depletion of ozone more thoroughly. [Simon, J. D. and Vaida, V. The Photoreactivity of Chlorine Dioxide. Science v 268; p. 1443-1448; 1995.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a56d397b-bff5-4a14-b54c-366470e023c7?gtm_keyword=CHLORINE%20DIOXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Chlorine Dioxide" }chlorine-monoxide/000077500000000000000000000000001517436701200344445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032411517436701200367510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chlorine-monoxide{ "type": "Catalog", "id": "chlorine-monoxide", "stac_version": "1.0.0", "description": "ClO, a radical species (with an odd number of electrons in its outer shell) which plays an important role in the breakdown of stratospheric ozone over Antarctica. Formed by the photolysis of CFCs in the stratosphere and the subsequent destruction of an ozone molecule, these radicals can act as a catalyst in the destruction of ozone while not being destroyed themselves. ClO, reacting with a oxygen atom (present from the Chapman Mechanism), releases a free chlorine radical once again. As a result, one Cl atom can destroy thousands of ozone molecules before being sequestered as HCl or another reservoir species (see chlorine nitrate). [Earth Island Journal; v 7; page 18; 1992.] [Chronicle of Higher Education; v 38; pages A6-A7; 1992.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a9104127-6846-4123-8ab0-b65c61a0018d?gtm_keyword=CHLORINE%20NITRATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Chlorine Monoxide" }chlorine-nitrate/000077500000000000000000000000001517436701200342705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027301517436701200365770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chlorine-nitrate{ "type": "Catalog", "id": "chlorine-nitrate", "stac_version": "1.0.0", "description": "ClONO2 - This is a stratospheric reservoir species for chlorine and nitrogen, two of the catalysts in the breakdown of ozone. It reacts with HCl at low temperatures on the surfaces of polar stratospheric clouds (PSCs over Antarctica and possibly in the stratosphere over the Arctic). That normally slow reaction heterogeneously produces molecular chlorine and nitric acid. The former outgases from the PSC surface and is quickly photolyzed by 450 nm or shorter wavelength light to form chlorine radicals which rapidly catalyze the breakdown of ozone (see chlorine monoxide). [Science; v 238; pages 1258-1260; 1987.] [Science; v 258; pages 1342-1345; 1992.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.shsu.edu/~chm_tgc/Glossary/bc.html#C", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Chlorine Nitrate" }chlorofluorocarbons/000077500000000000000000000000001517436701200351065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030161517436701200374130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chlorofluorocarbons{ "type": "Catalog", "id": "chlorofluorocarbons", "stac_version": "1.0.0", "description": "CFCs are very stable chemical compounds, used in refrigerants, solvent, and (in the past in the U.S.) aerosols, which release chlorine (important) and fluorine (less important) into the upper atmosphere. In the stratosphere, CFCs are photolyzed (by incoming solar UV) to form carbon dioxide, CO2, hydrogen fluoride, HF, and ultimately (after multiple UV absorption events) chlorine radicals. These chlorine species are crucial in the destruction of the ozone layer over Antarctica and probably elsewhere (see chlorine). [Environmental Science and Technology; v 28; pages 1619-1622; 1994.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e78ae4ce-807a-4417-ad6e-a458c6da6638?gtm_keyword=CHLOROFLUOROCARBONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Chlorofluorocarbons" }chlorophyll-concentration/000077500000000000000000000000001517436701200362245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022711517436701200405330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/chlorophyll-concentration{ "type": "Catalog", "id": "chlorophyll-concentration", "stac_version": "1.0.0", "description": "The concentration of chlorophyll is a proxy for the number of photosynthetic plankton, or phytoplankton, present in the ocean. Phytoplankton populations are influenced by climatic factors such as sea surface temperatures and winds.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0f816677-9e94-4e3b-b409-513335769af8?gtm_keyword=CHLOROPHYLL%20CONCENTRATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Chlorophyll Concentration" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cirrostratus/000077500000000000000000000000001517436701200336445ustar00rootroot00000000000000catalog.json000066400000000000000000000022671517436701200361010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cirrostratus{ "type": "Catalog", "id": "cirrostratus", "stac_version": "1.0.0", "description": "A principal cloud type, forming in the high levels of the troposphere, composed of ice crystals which appear from the ground as a transparent sheet or veil, often creating a halo phenomenon around the sun or moon. In aviation forecasts and reports it is coded as CS.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bf271f69-3294-44d6-bfa8-a8f54468ca30?gtm_keyword=CIRROSTRATUS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Cirrostratus" }cirrus-cloud-systems/000077500000000000000000000000001517436701200351415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030501517436701200374440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cirrus-cloud-systems{ "type": "Catalog", "id": "cirrus-cloud-systems", "stac_version": "1.0.0", "description": "Cirrus clouds are the highest in elevation, which form above 20,000 feet. The temperature at that elevation is so cold that cirrus clouds are usually composed of ice crystals. The ice crystals are the result of the freezing of super-cooled water drops. This can only happen when the temperatures reach below -38 degrees Celsius. These high-level clouds are white, thin, feathery, and wispy in appearance. Cirrus clouds often mark the start of a warm front, which is an indication of approaching bad weather. They are the fastest moving in the atmosphere because the wind current is very strong that high up.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e4f5faaa-36d9-4529-b667-7d4e39d3c67b?gtm_keyword=CIRRUS%20CLOUD%20SYSTEMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Cirrus Cloud Systems" }civil-disturbance/000077500000000000000000000000001517436701200344305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020351517436701200367350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/civil-disturbance{ "type": "Catalog", "id": "civil-disturbance", "stac_version": "1.0.0", "description": "Group acts of violence and disorder prejudicial to public law and order.[U. S. Department of Defense]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/09cf34f3-5e20-4dc1-9b76-97afd856ebe0?gtm_keyword=CIVIL%20DISTURBANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Civil Disturbance" }cloud-asymmetry/000077500000000000000000000000001517436701200341575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020331517436701200364620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cloud-asymmetry{ "type": "Catalog", "id": "cloud-asymmetry", "stac_version": "1.0.0", "description": "The difference in scattering due to cloud hydrometeors between the forward and backward directions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4c737490-1486-418f-81f4-c50c47da117d?gtm_keyword=CLOUD%20ASYMMETRY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Cloud Asymmetry" }cloud-base-height/000077500000000000000000000000001517436701200343055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022061517436701200366120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cloud-base-height{ "type": "Catalog", "id": "cloud-base-height", "stac_version": "1.0.0", "description": "For a given cloud or cloud layer, the lowest level in the atmosphere at which the air contains a perceptible quantity of cloud particles. 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"description": "The fraction of the skycover (reported in tenths of sky covered) that is attributed to a particular cloud type, or cloud layer; often used synonymously with cloud cover.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/acb52274-6c0d-4241-a979-3fa3efca6702?gtm_keyword=CLOUD%20FREQUENCY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Cloud Frequency" 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Mass in this context is defined as the mass of dry air plus the mass of water vapor, excluding the mass of any liquid water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/804fb334-1c74-4070-bd5f-848014a6e220?gtm_keyword=CLOUD%20MASS%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Cloud Mass Flux" }cloud-midlayer-temperature/000077500000000000000000000000001517436701200362665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020331517436701200405710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cloud-midlayer-temperature{ "type": "Catalog", "id": "cloud-midlayer-temperature", "stac_version": "1.0.0", "description": "Atmospheric temperature observed at the middle of a cloud layer.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2ca13dfa-c2b3-47de-8175-f0723151ef28?gtm_keyword=CLOUD%20MIDLAYER%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Cloud Midlayer Temperature" }cloud-optical-depth-thickness/000077500000000000000000000000001517436701200366535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023141517436701200411600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cloud-optical-depth-thickness{ "type": "Catalog", "id": "cloud-optical-depth-thickness", "stac_version": "1.0.0", "description": "The degree to which a cloud prevents light from passing through it. 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Salinity is often calculated from conductivity and temperature.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/7041e51c-e2de-405a-b154-6016f624f54f?gtm_keyword=CONDUCTIVITY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/d14389d9-54f5-41a0-b8e8-dc9d8f87e4e2?gtm_keyword=CONDUCTIVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Conductivity" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/conservation/000077500000000000000000000000001517436701200336125ustar00rootroot00000000000000catalog.json000066400000000000000000000025201517436701200360370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/conservation{ "type": "Catalog", "id": "conservation", "stac_version": "1.0.0", "description": "The management of human use of the biosphere so that it may yield the greatest sustainable benefit to current generations while maintaining its potential to meet the needs and aspirations of future generations: Thus conservation is positive, embracing preservation, maintenance, sustainable utilization, restoration, and enhancement of the natural environment.[World Resources Institute (WRI) Biodiversity Glossary of Terms.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/40869a25-edea-4438-80f9-47c9e6910b9b?gtm_keyword=CONSERVATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Conservation" }contaminant-levels-spills/000077500000000000000000000000001517436701200361305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023451517436701200404410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/contaminant-levels-spills{ "type": "Catalog", "id": "contaminant-levels-spills", "stac_version": "1.0.0", "description": "A measurement of the frequency of contaminant spills in the environment and whether the contaminant spills is hazardous to a population. Measuring the level of contaminants in the environment will determine if there is a hazard to a population.[Princeton University Dictionary]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/912245ce-a81e-4d3b-b4fb-f71c8da63357?gtm_keyword=CONTAMINANT%20LEVELS/SPILLS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Contaminant Levels/Spills" }continental-margins/000077500000000000000000000000001517436701200347755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030011517436701200372740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/continental-margins{ "type": "Catalog", "id": "continental-margins", "stac_version": "1.0.0", "description": "The ocean floor from the shore of a continent to the abyssal plain. The continent margin is the zone separating the continents from the deep-sea bottom, usually subdivided into the continental shelf, slope, and rise. They are two basic types of continental margins: passive, or Atlantic, margins and active, or Pacific, margins. Passive margins have little seismic or volcanic activity and form when continents are rifted apart, creating a new ocean basin between them. Active margins are tectonically active and are most often associated with plate convergence and subduction.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a91a00f7-05ed-4633-9fac-1772a48b6342?gtm_keyword=CONTINENTAL%20MARGINS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Continental Margins" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/contour-maps/000077500000000000000000000000001517436701200335275ustar00rootroot00000000000000catalog.json000066400000000000000000000021011517436701200357470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/contour-maps{ "type": "Catalog", "id": "contour-maps", "stac_version": "1.0.0", "description": "A map that contains contours, which are imaginary lines that connect points of equal value (e.g. elevation of the land surface).[U.S. Geological Survey]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/120f9132-a756-4f6f-a74c-78e94dfcd2a1?gtm_keyword=CONTOUR%20MAPS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Contour Maps" }control-surveys/000077500000000000000000000000001517436701200342175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020631517436701200365250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/control-surveys{ "type": "Catalog", "id": "control-surveys", "stac_version": "1.0.0", "description": "Pertaining to the base surveys run in order to normalize data collected in later surveys so that gravitational anomalies can be found.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/8b39b880-f385-4dab-a563-24064b43be7e?gtm_keyword=CONTROL%20SURVEYS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Control Surveys" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/convection/000077500000000000000000000000001517436701200332475ustar00rootroot00000000000000catalog.json000066400000000000000000000021461517436701200355000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/convection{ "type": "Catalog", "id": "convection", "stac_version": "1.0.0", "description": "In meteorology, atmospheric (wind) motions that are predominently vertical, resulting in vertical transport and mixing of atmospheric properties.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ebce0874-7635-4094-8ef4-968851873771?gtm_keyword=CONVECTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Convection" }convergence-divergence/000077500000000000000000000000001517436701200354305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000034201517436701200377340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/convergence-divergence{ "type": "Catalog", "id": "convergence-divergence", "stac_version": "1.0.0", "description": "Convergence - A net inflow of winds into a region. Pressure fluctuations at the Earth's surface are produced by movements of air which produce changes in the mass of air in a vertical column above the ground. A net gain in mass produces an increase in pressure leading to a high pressure system. A net loss of mass gives rise to a low. When there is a horizontal flow of air into a region (convergence) a vertical upward movement of air occurs otherwise there would be a continual increase in density of the air. Divergence occurs when there is a net horizontal outward flow of air from a region. This leads to a vertical downward movement of air. Divergence- A net outflow of wind from a region.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/b59e188c-49b8-41b3-94c4-0bc1dbb554fe?gtm_keyword=CONVERGENCE/DIVERGENCE>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a2cc8e02-3207-4c40-af41-9656404bac0a?gtm_keyword=CONVERGENCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Convergence/Divergence" }cooling-degree-days/000077500000000000000000000000001517436701200346425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000051601517436701200371510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cooling-degree-days{ "type": "Catalog", "id": "cooling-degree-days", "stac_version": "1.0.0", "description": "A form of degree-day used to estimate the energy requirements for air conditioning or refrigeration; one cooling degree-day is given for each Fahrenheit degree that the daily mean temperature departs above the base of 24�C (75�F). Degree days are based on the assumption that when the outside temperature is 65�F, we don't need heating or cooling to be comfortable. Degree days are the difference between the daily temperature mean, (high temperature plus low temperature divided by two) and 65�F. If the temperature mean is above 65�F, we subtract 65 from the mean and the result is Cooling Degree Days. If the temperature mean is below 65�F, we subtract the mean from 65 and the result is Heating Degree Days. -------------------------------------------------------------------------- Example 1: The high temperature for a particular day was 90�F and the low temperature was 66�F. The temperature mean for that day was: ( 90�F + 66�F ) / 2 = 78�F Because the result is above 65�F: 78�F - 65�F = 13 Cooling Degree Days Example 2: The high temperature for a particular day was 33�F and the low temperature was 25�F. The temperature mean for that day was: ( 33�F + 25�F ) / 2 = 29�F Because the result is below 65�F: 65�F - 29�F = 36 Heating Degree Days. The calculations shown in the two examples above are performed for each day of the year and the daily degree days are accumulated so that we can compare months and seasons.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2590519a-c2bb-448a-b2f3-d10aaa7e057c?gtm_keyword=COOLING%20DEGREE%20DAYS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/db0d03d7-1d08-42fb-b212-0da35b88e656?gtm_keyword=COOLING%20DEGREE%20DAYS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Cooling Degree Days" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/coral-reefs/000077500000000000000000000000001517436701200333025ustar00rootroot00000000000000catalog.json000066400000000000000000000026221517436701200355320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/coral-reefs{ "type": "Catalog", "id": "coral-reefs", "stac_version": "1.0.0", "description": "A mass of calcium carbonate rock material derived from coral organisms, algae, mollusks, worms, etc. Also used as pertaining to the living biological aspects of the reef.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ad497e7a-48fa-45e1-90a5-b052508bdb30?gtm_keyword=CORAL%20REEFS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ad497e7a-48fa-45e1-90a5-b052508bdb30?gtm_keyword=CORAL%20REEFS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c6244bfb-300f-4818-bf45-cf1a15e7e073?gtm_keyword=CORAL%20REEFS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Coral Reefs" }core-processes/000077500000000000000000000000001517436701200337555ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020301517436701200362550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/core-processes{ "type": "Catalog", "id": "core-processes", "stac_version": "1.0.0", "description": "Pertaining to the measurement, analysis, or modeling of the internal processes of the Earth's core and mantle.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/57503db6-7cff-4e92-bcac-1ba2c3c0cb48?gtm_keyword=CORE%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Core Processes" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/corona-holes/000077500000000000000000000000001517436701200334715ustar00rootroot00000000000000catalog.json000066400000000000000000000025451517436701200357250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/corona-holes{ "type": "Catalog", "id": "corona-holes", "stac_version": "1.0.0", "description": "An extended region in the solar corona where the density and temperature are lower than other places in the corona. The weak diverging and open magnetic field lines in coronal holes extend radially outward and do not immediately return to the sun. The high speed part of the solar wind comes from coronal holes. Reference: the Cambridge Encyclopedia of the Sun, The Cambridge University Press, Cambridge, CB2, 2RU, UK, 2001.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6a5a2ccf-3ba6-4519-bc9b-7617ef3b9087?gtm_keyword=CORONA%20HOLES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Corona Holes" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/corona/000077500000000000000000000000001517436701200323615ustar00rootroot00000000000000catalog.json000066400000000000000000000027001517436701200346060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/corona{ "type": "Catalog", "id": "corona", "stac_version": "1.0.0", "description": "The outermost, high temperature region of the solar atmosphere. Above the chromosphere and transition region, consisting of almost fully ionized plasma contained in closed magnetic field loops, called coronal loops or expanding out along open magnetic field lines to form the solar wind. The corona is a highly rarefied, low density gas, with electron densities of less than 10*16 electrons/ m*3, heated to temperatures of millions of degrees. The corona is visible to the unaided eye as a white halo during a total eclipse of the sun.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1ef327e1-6139-49ff-87c3-f959ea75a511?gtm_keyword=CORONA>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Corona" }coronal-mass-ejections/000077500000000000000000000000001517436701200354005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024301517436701200377040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/coronal-mass-ejections{ "type": "Catalog", "id": "coronal-mass-ejections", "stac_version": "1.0.0", "description": "Coronal mass ejection (CME) is a huge cloud of hot plasma, occasionally expelled from the Sun. It may accelerate ions and electrons and may travel through interplanetary space as far as the Earth�s orbit and beyond it, often preceded by a shock front. When the shock reaches Earth, a magnetic storm may result.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6d486f25-7477-4da9-96ae-0091596ed4d2?gtm_keyword=CORONAL%20MASS%20EJECTIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Coronal Mass Ejections" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cosmic-rays/000077500000000000000000000000001517436701200333315ustar00rootroot00000000000000catalog.json000066400000000000000000000023341517436701200355610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cosmic-rays{ "type": "Catalog", "id": "cosmic-rays", "stac_version": "1.0.0", "description": "High energy particles and photons emitted by stellar processes. The highest energies have been observed at 10*8 Tev and are believed to come from shocks emanating from galaxies. 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Forest Ecology. Prentice Hall. Upper Saddle River, New Jersey.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c59b0666-e20f-4134-847b-89719ed5621a?gtm_keyword=CROWN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Crown" }crustal-motion/000077500000000000000000000000001517436701200340015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020371517436701200363100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/crustal-motion{ "type": "Catalog", "id": "crustal-motion", "stac_version": "1.0.0", "description": "Pertaining to the use of gravitational data in order to determine the relative motions of the Earth's crustal plates.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/122f7d15-7e5c-4249-992c-c753c80cf05b?gtm_keyword=CRUSTAL%20MOTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Crustal Motion" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cryosols/000077500000000000000000000000001517436701200327555ustar00rootroot00000000000000catalog.json000066400000000000000000000022661517436701200352110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cryosols{ "type": "Catalog", "id": "cryosols", "stac_version": "1.0.0", "description": "Soil formed in either mineral or organic materials having permafrost either within 1 m below the surface or, if the soil is strongly cryoturbated, with 2 m below the surface, and having a mean annual ground temperature below 0 deg C.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0cd7a96f-46e1-4d86-93d0-9cbb6fda61e3?gtm_keyword=CRYOSOLS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Land" } ] } ], "title": "Cryosols" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cyclones/000077500000000000000000000000001517436701200327175ustar00rootroot00000000000000catalog.json000066400000000000000000000021561517436701200351510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/cyclones{ "type": "Catalog", "id": "cyclones", "stac_version": "1.0.0", "description": "An atmospheric cyclonic circulation, a closed circulation. A cyclone's direction of rotation (counterclockwise in the Northern Hemisphere) is opposite to that of an anticyclone.[Glossary of Meteorology Online, American Meteorological Society, 2010.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science?gtm_search=Cyclones>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Cyclones" }deciduous-vegetation/000077500000000000000000000000001517436701200351505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025601517436701200374600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/deciduous-vegetation{ "type": "Catalog", "id": "deciduous-vegetation", "stac_version": "1.0.0", "description": "Deciduous vegetation is vegetation that sheds its leaves each year in the fall. Maple, oak, black cherry, and beech trees are examples. The loss of leaves in the fall is believed to be an adaptation that greatly reduces evaporation at a time when the supply of liquid water is limited.[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. Belmont, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b7de16ed-c090-449b-81c1-44fe5b1195f0?gtm_keyword=DECIDUOUS%20VEGETATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Deciduous Vegetation" }deep-convective-cloud-systems/000077500000000000000000000000001517436701200367125ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023241517436701200412200ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/deep-convective-cloud-systems{ "type": "Catalog", "id": "deep-convective-cloud-systems", "stac_version": "1.0.0", "description": "Also called Mesoscale Convective System- A cloud system that occurs in connection with an ensemble of thunderstorms and produces a contiguous precipitation area on the order of 100 km or more in horizontal scale in at least one direction.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/879cccd4-d375-40f6-8bee-6f58efd2dd61?gtm_keyword=DEEP%20CONVECTIVE%20CLOUD%20SYSTEMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Deep Convective Cloud Systems" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/defoliants/000077500000000000000000000000001517436701200332305ustar00rootroot00000000000000catalog.json000066400000000000000000000021511517436701200354550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/defoliants{ "type": "Catalog", "id": "defoliants", "stac_version": "1.0.0", "description": "An agent that damages trees by destroying leaves or needles.[Government of British Columbia, Ministry of Forests, Glossary of Forest Terms: http://www.for.gov.bc.ca/pab/publctns/glossary/glossary.htm]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b3fcccdd-745f-4299-94b3-e72e37f551be?gtm_keyword=DEFOLIANTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Defoliants" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/deforestation/000077500000000000000000000000001517436701200337465ustar00rootroot00000000000000catalog.json000066400000000000000000000024751517436701200362040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/deforestation{ "type": "Catalog", "id": "deforestation", "stac_version": "1.0.0", "description": "Deforestation is the removal of trees from a locality. This removal may be either temporary or permanent, leading to partial or complete eradication of the tree cover. It can be a gradual or rapid process, and may occur by means of natural or human agencies, or a combination of both.[Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9a4715a7-1847-4fef-8116-494b36420fb7?gtm_keyword=DEFORESTATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Deforestation" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/degradation/000077500000000000000000000000001517436701200333615ustar00rootroot00000000000000catalog.json000066400000000000000000000020711517436701200356070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/degradation{ "type": "Catalog", "id": "degradation", "stac_version": "1.0.0", "description": "The lowering of a fluvial surface, such as a stream bed or floodplain, through erosional processes", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2f2f5764-d4e6-4bbb-bd6d-dda373018237?gtm_keyword=DEGRADATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Degradation" }deiced-temperature/000077500000000000000000000000001517436701200345715ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017741517436701200371070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/deiced-temperature{ "type": "Catalog", "id": "deiced-temperature", "stac_version": "1.0.0", "description": "Temperature measured by the removal of ice through heating.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6e923275-f9e3-4faf-8a7f-2c96f3d5a280?gtm_keyword=DEICED%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Deiced Temperature" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/deltas/000077500000000000000000000000001517436701200323545ustar00rootroot00000000000000catalog.json000066400000000000000000000025601517436701200346050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/deltas{ "type": "Catalog", "id": "deltas", "stac_version": "1.0.0", "description": "Land built up by deposits of sand and silt at the mouth of some rivers. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f9f0f92b-7901-4dda-8d64-be4e845ce29b?gtm_keyword=DELTAS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/93647a7c-a881-4066-a696-c19053c7c30b?gtm_keyword=DELTAS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/daa297ec-4397-4caa-b563-634a71f62b8a?gtm_keyword=DELTAS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Deltas" }denitrification-rate/000077500000000000000000000000001517436701200351255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024511517436701200374340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/denitrification-rate{ "type": "Catalog", "id": "denitrification-rate", "stac_version": "1.0.0", "description": "The rate of biochemical reduction of nitrate or nitrite to gaseous nitrogen, either as molecular nitrogen or as an oxide of nitrogen.[The Nature and Properties of Soils, Prentice Hall, 1996.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cac79930-334e-49c5-836b-4f2ee8e0b098?gtm_keyword=DENITRIFICATION%20RATE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0d0de6a7-c340-4e6b-b01d-ccbb6e7fa913?gtm_keyword=DENITRIFICATION%20RATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Denitrification Rate" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/density/000077500000000000000000000000001517436701200325575ustar00rootroot00000000000000catalog.json000066400000000000000000000020141517436701200350020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/density{ "type": "Catalog", "id": "density", "stac_version": "1.0.0", "description": "The mass per unit volume of a substance. Oceanographic shorthand for density, sigma-t, may be included as a Detailed Variable.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/007ab607-2ee1-484d-85fb-0bfb89f18c9b?gtm_keyword=DENSITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Density" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/depth-hoar/000077500000000000000000000000001517436701200331335ustar00rootroot00000000000000catalog.json000066400000000000000000000025141517436701200353630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/depth-hoar{ "type": "Catalog", "id": "depth-hoar", "stac_version": "1.0.0", "description": "Depth hoar - Large-grained, faceted, cup-shaped crystals near the ground. Depth hoar is caused by large temperature gradients within the snowpack, usually in the early winter by large temperature differences between the warm ground and the cold snow surface. Pertaining to the characteristics of the layer of ice crystals that forms between the ground and snow cover by sublimation. It's also referred to as sugar snow.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c306d542-9be8-449d-ba33-28ad033c77aa?gtm_keyword=DEPTH%20HOAR>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Depth Hoar" }desalinization/000077500000000000000000000000001517436701200340365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017401517436701200363450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/desalinization{ "type": "Catalog", "id": "desalinization", "stac_version": "1.0.0", "description": "The process of removing salt from seawater or brackish water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/41926d67-161a-4add-bb12-66038c919efb?gtm_keyword=DESALINIZATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Desalinization" }desertification/000077500000000000000000000000001517436701200341755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024711517436701200365060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/desertification{ "type": "Catalog", "id": "desertification", "stac_version": "1.0.0", "description": "The formation of deserts in arid and semi-arid regions from overgrazing, deforestation, poor agricultural practices, and climate change. Evidence of desertification can be found today in Africa, the Middle East, and the southwestern United States.[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. 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The Encyclopedic Dictionary of Physical Geography. 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If it is too low, many organisms, including fish, will die.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/b632d0cc-d4b0-458e-a182-16bbd2a5ab05?gtm_keyword=DISSOLVED%20OXYGEN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Dissolved Oxygen" }dissolved-solids/000077500000000000000000000000001517436701200343105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021341517436701200366150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/dissolved-solids{ "type": "Catalog", "id": "dissolved-solids", "stac_version": "1.0.0", "description": "Materials less than 0.45 micrometer in length, as distinguished from suspended solids and other particulate matter, which are greater than 0.45 micrometer in length.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a3c25ed5-d3e4-4b86-bd9a-6f78d5d2bc07?gtm_keyword=DISSOLVED%20SOLIDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Dissolved Solids" }dominant-species/000077500000000000000000000000001517436701200342635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021641517436701200365730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/dominant-species{ "type": "Catalog", "id": "dominant-species", "stac_version": "1.0.0", "description": "Dominant Species are recognized by their numerical abundance or biomass and are usually defined separately for each trophic level.[Krebs, C. 1994. Ecology. HarperCollins. New York, New York.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/df597f06-8575-4726-acac-65b2bd432d59?gtm_keyword=DOMINANT%20SPECIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Dominant Species" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/drainage/000077500000000000000000000000001517436701200326525ustar00rootroot00000000000000catalog.json000066400000000000000000000023461517436701200351050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/drainage{ "type": "Catalog", "id": "drainage", "stac_version": "1.0.0", "description": "The pattern followed by the waters of an area as they pass or flow off in surface streams.[Dictionary of Earth Science, 5th ed.. 1997. Sybil Parker, ed. in chief. McGraw-Hill.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6a2107ab-38ab-42dc-beb0-8ba5f65e8022?gtm_keyword=DRAINAGE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/269c7277-fa8f-4c1c-bd8b-ab772c1df4e5?gtm_keyword=DRAINAGE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Drainage" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/droplet-size/000077500000000000000000000000001517436701200335215ustar00rootroot00000000000000catalog.json000066400000000000000000000017311517436701200357510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/droplet-size{ "type": "Catalog", "id": "droplet-size", "stac_version": "1.0.0", "description": "The measured dimensions of a rain droplet.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6eaed241-db16-4a1a-a06c-893da5d98b45?gtm_keyword=DROPLET%20SIZE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Droplet Size" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/droughts/000077500000000000000000000000001517436701200327375ustar00rootroot00000000000000catalog.json000066400000000000000000000023161517436701200351670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/droughts{ "type": "Catalog", "id": "droughts", "stac_version": "1.0.0", "description": "A period of abnormally dry weather sufficiently long enough to cause a serious hydrological imbalance.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/12a896f3-993d-49f6-aafc-17378ffa3998?gtm_keyword=DROUGHTS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/115d340f-cb5e-4436-bfa4-04a740988bf7?gtm_keyword=DROUGHTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Land" } ] } ], "title": "Droughts" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/dunes/000077500000000000000000000000001517436701200322165ustar00rootroot00000000000000catalog.json000066400000000000000000000023671517436701200344540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/dunes{ "type": "Catalog", "id": "dunes", "stac_version": "1.0.0", "description": "Mounds, ridges, or hills of wind-blown sand, either bare or covered with vegetation.[Dictionary of Geological Terms, American Geological Institute, 1984.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8d38de3b-2d05-4ad2-a960-f47a66191319?gtm_keyword=DUNES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6f7b2753-aed1-4783-a7cc-781d00d13a0f?gtm_keyword=DUNES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" }, { "id": "Solid Earth" } ] } ], "title": "Dunes" }dust-ash-smoke/000077500000000000000000000000001517436701200336655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023041517436701200361710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/dust-ash-smoke{ "type": "Catalog", "id": "dust-ash-smoke", "stac_version": "1.0.0", "description": "Solid materials suspended in the atmosphere in the form of small, irregular particules, many of which are microscopic in size. Dust and Ash are due to biogenic and anthropogenic sources such as volcanic eruptions, salt spray, plant pollen, smoke, industrial processes, etc.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1b6342c6-315b-4f4f-b4e3-d6902aaa3e85?gtm_keyword=DUST/ASH/SMOKE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Dust/Ash/Smoke" }dynamic-topography/000077500000000000000000000000001517436701200346375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022271517436701200371470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/dynamic-topography{ "type": "Catalog", "id": "dynamic-topography", "stac_version": "1.0.0", "description": "Ocean surface topography or sea surface topography, also called ocean dynamic topography, are highs and lows on the ocean surface, similar to the hills and valleys of Earth's land surface depicted on a topographic map.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/940550d2-1d9f-4c28-b9ba-857c2dc8ef95?gtm_keyword=DYNAMIC%20TOPOGRAPHY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Dynamic Topography" }earth-radiation-budget/000077500000000000000000000000001517436701200353445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022511517436701200376510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/earth-radiation-budget{ "type": "Catalog", "id": "earth-radiation-budget", "stac_version": "1.0.0", "description": "The Earth Radiation Budget is the balance between incoming energy from the sun and the outgoing longwave (thermal) and reflected shortwave energy from the Earth. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/7cacbfdf-71a3-4fac-b690-9aa54e4060dd?gtm_keyword=EARTH%20RADIATION%20BUDGET>m_scheme=Earth%20Science;https://gcos.wmo.int/en/essential-climate-variables/earth-radiation", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Earth Radiation Budget" }earthquake-magnitude-intensity/000077500000000000000000000000001517436701200371525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020341517436701200414560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/earthquake-magnitude-intensity{ "type": "Catalog", "id": "earthquake-magnitude-intensity", "stac_version": "1.0.0", "description": "The measure of the amount of energy released during an earthquake.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/4bc185d3-e2c5-4acc-bce8-37fea7d8fc0b?gtm_keyword=EARTHQUAKE%20MAGNITUDE/INTENSITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Earthquake Magnitude/Intensity" }earthquake-occurrences/000077500000000000000000000000001517436701200354645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020321517436701200377660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/earthquake-occurrences{ "type": "Catalog", "id": "earthquake-occurrences", "stac_version": "1.0.0", "description": "Pertaining to the the mapping of locations of earthquake epicenters and their intensity.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/752d4f80-a418-4a75-a9eb-772222af1746?gtm_keyword=EARTHQUAKE%20OCCURRENCES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Earthquake Occurrences" }earthquake-predictions/000077500000000000000000000000001517436701200354745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020341517436701200400000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/earthquake-predictions{ "type": "Catalog", "id": "earthquake-predictions", "stac_version": "1.0.0", "description": "Pertaining to the data used to forecast the likelihood of an earthquake in any given area.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/131c1e46-efca-4478-a5d1-d7193483bb96?gtm_keyword=EARTHQUAKE%20PREDICTIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Earthquake Predictions" }east-atlantic-jet-pattern/000077500000000000000000000000001517436701200360055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000033151517436701200403140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/east-atlantic-jet-pattern{ "type": "Catalog", "id": "east-atlantic-jet-pattern", "stac_version": "1.0.0", "description": "The East Atlantic Jet pattern is the third primary mode of low frequency variability found over the North Atlantic, appearing between April and August. This pattern also consists of a north-south dipole of anomaly centers, with one main center located over the high latitudes of the eastern North Atlantic and Scandinavia, and the other center located over Northern Africa and the Mediterranean Sea. A positive phase of the EA-Jet pattern reflects an intensification of westerlies over the central latitudes of the eastern North Atlantic and over much of Europe, while a negative phase reflects a strong split-flow configuration over these regions, sometimes in association with long-lived blocking anticyclones in the vicinity of Greenland and Great Britain.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/47fb8f57-2ddd-4289-b8a5-af7ffa0ee031?gtm_keyword=EAST%20ATLANTIC%20JET%20PATTERN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "East Atlantic Jet Pattern" }east-atlantic-pattern/000077500000000000000000000000001517436701200352255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000052141517436701200375340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/east-atlantic-pattern{ "type": "Catalog", "id": "east-atlantic-pattern", "stac_version": "1.0.0", "description": "The East Atlantic (EA) pattern is the second prominent mode of low-frequency variability over the North Atlantic, and appears as a leading mode in all months. The EA pattern is structurally similar to the NAO, and consists of a north-south dipole of anomaly centers spanning the North Atlantic from east to west. The anomaly centers of the EA pattern are displaced southeastward to the approximate nodal lines of the NAO pattern. For this reason, the EA pattern is often interpreted as a \"southward shifted\" NAO pattern. However, the lower-latitude center contains a strong subtropical link in association with modulations in the subtropical ridge intensity and location. This subtropical link makes the EA pattern distinct from its NAO counterpart. This EA pattern is similar to that shown in the Barnston and Livezey (1987) study, but is distinctly different from the EA pattern originally defined by Wallace and Gutzler (1981). The positive phase of the EA pattern is associated with above-average surface temperatures in Europe in all months, and with below-average temperatures over the southern U.S. during January-May and in the north-central U.S. during July-October. It is also associated with above-average precipitation over northern Europe and Scandinavia, and with below-average precipitation across southern Europe. The EA pattern exhibits very strong multi-decadal variability in the 1950-2004 record, with the negative phase prevailing during much of 1950-1976, and the positive phase occurring during much of 1977-2004. The positive phase of the EA pattern was particularly strong and persistent during 1997-2004, when 3-month running mean values routinely averaged 1.0-2.0 standard deviations above normal.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/47fb8f57-2ddd-4289-b8a5-af7ffa0ee031?gtm_keyword=EAST%20ATLANTIC%20JET%20PATTERN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "East Atlantic Pattern" }eastern-atlantic-western-russia-pattern/000077500000000000000000000000001517436701200407235ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000040421517436701200432300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/eastern-atlantic-western-russia-pattern{ "type": "Catalog", "id": "eastern-atlantic-western-russia-pattern", "stac_version": "1.0.0", "description": "Monthly tabulated East Atlantic/ Western Russia teleconnection index dating back to 1950. Indices are standardized by the 1981-2010 climatology. The East Atlantic/ West Russia (EATL/WRUS) pattern is one of three prominent teleconnection patterns that affects Eurasia throughout year. This pattern has been referred to as the Eurasia-2 pattern by Barnston and Livezey (1987). The East Atlantic/ West Russia pattern consists of four main anomaly centers. The positive phase is associated with positive height anomalies located over Europe and northern China, and negative height anomalies located over the central North Atlantic and north of the Caspian Sea. The main surface temperature anomalies associated with the positive phase of the EATL/ WRUS pattern reflect above-average temperatures over eastern Asia, and below-average temperatures over large portions of western Russia and northeastern Africa. The main precipitation departures reflect generally above-average precipitation in eastern China and below-average precipitation across central Europe.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c58e035f-87c6-4aa5-8729-5a9c6270e73b?gtm_keyword=EASTERN%20ATLANTIC%20WESTERN%20RUSSIA%20PATTERN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Eastern Atlantic Western Russia Pattern" }eastern-pacific-oscillation/000077500000000000000000000000001517436701200363745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000041321517436701200407010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/eastern-pacific-oscillation{ "type": "Catalog", "id": "eastern-pacific-oscillation", "stac_version": "1.0.0", "description": "The East Pacific - North Pacific (EP- NP) pattern is a Spring-Summer-Fall pattern with three main anomaly centers. The positive phase of this pattern features positive height anomalies located over Alaska/ Western Canada, and negative anomalies over the central North Pacific and eastern North America. Strong positive phases of the EP-NP pattern are associated with a southward shift and intensification of the Pacific jet stream from eastern Asia to the eastern North Pacific, followed downstream by an enhanced anticyclonic circulation over western North America, and by an enhanced cyclonic circulation over the eastern United States. Strong negative phases of the pattern are associated with circulation anomalies of opposite sign in these regions. The positive phase of the EP-NP pattern is associated with above-average surface temperatures over the eastern North Pacific, and below-average temperatures over the central North Pacific and eastern North America. The main precipitation anomalies associated with this pattern reflect above-average precipitation in the area north of Hawaii and below-average precipitation over southwestern Canada.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0384fecd-9303-47f3-84e3-f01f58013fc3?gtm_keyword=EASTERN%20PACIFIC%20OSCILLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Eastern Pacific Oscillation" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/eddies/000077500000000000000000000000001517436701200323355ustar00rootroot00000000000000catalog.json000066400000000000000000000017751517436701200345750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/eddies{ "type": "Catalog", "id": "eddies", "stac_version": "1.0.0", "description": "Unit(s) of motion in a fluid medium (ocean) running contrary, usually circularly, to the main current.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/13927300-c59c-491a-91f3-f1540bcb2d8d?gtm_keyword=EDDIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Eddies" }el-nino-southern-oscillation-enso/000077500000000000000000000000001517436701200375075ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000062421517436701200420200ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/el-nino-southern-oscillation-enso{ "type": "Catalog", "id": "el-nino-southern-oscillation-enso", "stac_version": "1.0.0", "description": "An irregular variation of ocean current that from January to March flows off the west coast of South America, carrying warm, low-salinity, nutrient-poor water to the south. It does not usually extend farther than a few degrees south of the equator, but occasionally it does penetrate beyond 12 degrees S, displacing the relatively cold Peru Current. The effects of this phenomenon are generally short-lived, and fishing is only slightly disrupted. Occasionally (in 1891, 1925, 1941, 1957 - 58, 1965, 1972 - 73, 1976, and 1982 - 83), the effects are major and prolonged. Under these conditions, sea surface temperatures rise along the coast of Peru and in the equatorial eastern Pacific Ocean and may remain high for more than a year, having disastrous effects on marine life and fishing. Excessive rainfall and flooding occur in the normally dry coastal area of western tropical South America during these events. Some oceanographers and meteorologists consider only the major, prolonged events as El Nino phenomena rather than the annually occurring weaker and short-lived ones. The name was originally applied to the latter events because of their occurrence at Christmas time. (http://cdiac.esd.ornl.gov/glossary.html) Interacting parts of a single global system of climate fluctuations. ENSO is the most prominent known source of interannual variability in weather and climate around the world, though not all areas are affected. The Southern Oscillation (SO) is a global-scale seesaw in atmospheric pressure between Indonesia/North Australia, and the southeast Pacific. In major warm events El Nino warming extends over much of the tropical Pacific and becomes clearly linked to the SO pattern. Many of the countries most affected by ENSO events are developing countries with economies that are largely dependent upon their agricultural and fishery sectors as a major source of food supply, employment, and foreign exchange. New capabilities to predict the onset of ENSO event can have a global impact. While ENSO is a natural part of the Earth's climate, whether its intensity or frequency may change as a result of global warming is an important concern. From: http://earthobservatory.nasa.gov/Library/glossary.php3", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/095a05c0-6220-4abd-9c1b-c4504a092d7d?gtm_keyword=EL%20NINO%20SOUTHERN%20OSCILLATION%20(ENSO)>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "El Nino Southern Oscillation (Enso)" }electric-fields-electric-currents/000077500000000000000000000000001517436701200375125ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026011517436701200420160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/electric-fields-electric-currents{ "type": "Catalog", "id": "electric-fields-electric-currents", "stac_version": "1.0.0", "description": "Sun-Earth Interactions refer to the effects of the sun's variability are evident in a variety of physical and chemical processes in the upper layers of the earth's atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9abe9fdb-59f3-4bd6-b24f-b9b7e46eae7c?gtm_keyword=ELECTRIC%20FIELDS/ELECTRIC%20CURRENTS>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/41f27172-14f6-4940-9b7b-f3d4db69e0c6?gtm_keyword=ELECTRIC%20FIELD>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" }, { "id": "Atmosphere" } ] } ], "title": "Electric Fields/Electric Currents" }electrical-conductivity/000077500000000000000000000000001517436701200356525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025031517436701200401570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/electrical-conductivity{ "type": "Catalog", "id": "electrical-conductivity", "stac_version": "1.0.0", "description": "A measure of ease with which a conduction current can be caused to flow through soil under the influence of an applied electric field. It is the reciprocal of resistivity and is measured in mhos per meter.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7241d799-4f5c-4ae3-a4ec-2e9cdbf656aa?gtm_keyword=ELECTRICAL%20CONDUCTIVITY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/781bf38b-2797-4415-8d5a-67e9f3a2f5fe?gtm_keyword=ELECTRICAL%20CONDUCTIVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Electrical Conductivity" }electrical-field/000077500000000000000000000000001517436701200342115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022601517436701200365160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/electrical-field{ "type": "Catalog", "id": "electrical-field", "stac_version": "1.0.0", "description": "The electric force per unit charge. The direction of the field is taken to be the direction of the force it would exert on a positive test charge. The electric field is radially outward from a positive charge and radially in toward a negative point charge.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/3202dab6-144a-4bfb-9bda-9d07e5ee7ec2?gtm_keyword=ELECTRICAL%20FIELD>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Electrical Field" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/electron-flux/000077500000000000000000000000001517436701200336675ustar00rootroot00000000000000catalog.json000066400000000000000000000020621517436701200361150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/electron-flux{ "type": "Catalog", "id": "electron-flux", "stac_version": "1.0.0", "description": "The rate of flow of electrons through a reference surface. In cgs units, measured in electrons s-1, or simply s-1.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5223ebeb-a22d-4bb9-b2b2-ed949a10ac29?gtm_keyword=ELECTRON%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Electron Flux" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/emissions/000077500000000000000000000000001517436701200331115ustar00rootroot00000000000000catalog.json000066400000000000000000000022451517436701200353420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/emissions{ "type": "Catalog", "id": "emissions", "stac_version": "1.0.0", "description": "With respect to pollution, the discharge of gases or particles from a source such as a smokestack or exhaust pipe into the atmosphere, perhaps resulting in environmental pollution. With respect to radiation, the generation and sending out of radiant energy.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2a60df4a-a0d7-4e4b-b02a-372a083f0170?gtm_keyword=EMISSIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Emissions" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/emissivity/000077500000000000000000000000001517436701200333055ustar00rootroot00000000000000catalog.json000066400000000000000000000023241517436701200355340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/emissivity{ "type": "Catalog", "id": "emissivity", "stac_version": "1.0.0", "description": "The ratio of the emittance of a given surface at a specified wavelength and emitting temperature to the emittance of an ideal black body at the same wavelength and temperature. Emissivity has a value between 0 (least) and one (greatest).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/49c8770a-2eb7-40f1-aab0-9c12d3aed031?gtm_keyword=EMISSIVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Emissivity" }energy-deposition/000077500000000000000000000000001517436701200344655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027021517436701200367730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/energy-deposition{ "type": "Catalog", "id": "energy-deposition", "stac_version": "1.0.0", "description": "The energy deposited into the atmosphere from ionization of atmospheric gases, as well as excitation of photometric and x-ray emissions. The ionospheric effects resulting from the energy deposition by incident particle fluxes include: - production of secondary electrons (ionization) - enhanced steady-state electron density - photometric emissions - bremsstrahlung x-rays - conductivity changes - E-region horizontal currents - plasma heating(collisional, Joule heating) - magnetic field perturbations", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/36bab763-b5d7-450a-8328-1c1f935184f4?gtm_keyword=ENERGY%20DEPOSITION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Energy Deposition" }enso-precipitation-index/000077500000000000000000000000001517436701200357425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020511517436701200402450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/enso-precipitation-index{ "type": "Catalog", "id": "enso-precipitation-index", "stac_version": "1.0.0", "description": "Time series that uses rainfall data in the Tropical Pacific to describe ENSO events.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/284738a2-4fcb-4eee-9ee7-5eac2378f46d?gtm_keyword=ENSO%20PRECIPITATION%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Enso Precipitation Index" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/entrainment/000077500000000000000000000000001517436701200334245ustar00rootroot00000000000000catalog.json000066400000000000000000000024031517436701200356510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/entrainment{ "type": "Catalog", "id": "entrainment", "stac_version": "1.0.0", "description": "The process by which surface sediment is incorporated into a fluid flow (such as air, water or even ice ) as part of the operation of erosion.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f6a5cc87-a333-4e99-88d4-bf7b5b1cf484?gtm_keyword=ENTRAINMENT>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3288c7e0-20fa-4e05-80fa-cdb14c436c7e?gtm_keyword=ENTRAINMENT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Entrainment" }environmental-vulnerability-index-evi/000077500000000000000000000000001517436701200404575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000046511517436701200427720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/environmental-vulnerability-index-evi{ "type": "Catalog", "id": "environmental-vulnerability-index-evi", "stac_version": "1.0.0", "description": "The Environmental Vulnerability Index. A vulnerability index for the natural environment, the basis of all human welfare, has been developed by the South Pacific Applied Geoscience Commission (SOPAC), the United Nations Environment Programme (UNEP) and their partners. The index was developed through consultation and collaboration with countries, institutions and experts across the globe. This index is designed to be used with economic and social vulnerability indices to provide insights into the processes that can negatively influence the sustainable development of countries. The reason for using indices for this purpose is to provide a rapid and standardised method for characterising vulnerability in an overall sense, and identifying issues that may need to be addressed within each of the three pillars of sustainability, namely environmental, economic and social aspects of a country's development. Development is often achieved through trade-offs between these pillars. Therefore, in order to promote sustainability, it has become increasingly important to be able to measure how vulnerable each aspect is to damage and to identify ways of building resilience. With this information to hand, the outcome for countries could be optimised for their unique situations and development goals. [Environmental Vulnerability Index (EVI) Project C/- South Pacific Applied Geoscience Commission (SOPAC) http://www.vulnerabilityindex.net/Contact.htm]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/897b3d65-709c-4739-9ba6-85911295d843?gtm_keyword=ENVIRONMENTAL%20VULNERABILITY%20INDEX%20(EVI)>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Environmental Vulnerability Index (EVI)" }equatorial-pacific-meridional-wind-anomaly-index/000077500000000000000000000000001517436701200424065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024321517436701200447140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/equatorial-pacific-meridional-wind-anomaly-index{ "type": "Catalog", "id": "equatorial-pacific-meridional-wind-anomaly-index", "stac_version": "1.0.0", "description": "An ENSO meridional wind anomaly index is calculated for the region 12-2N, 160E-80W from the International Comprehensive Ocean-Atmosphere Data Set (COADS). This region was chosen from a map of meridional wind regressed onto an index of eastern equatorial Pacific SST for the period 1950-79.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science?gtm_search=Equatorial%20Pacific%20Meridional%20Wind%20Anomaly%20Index>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Equatorial Pacific Meridional Wind Anomaly Index" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/erosion/000077500000000000000000000000001517436701200325565ustar00rootroot00000000000000catalog.json000066400000000000000000000034521517436701200350100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/erosion{ "type": "Catalog", "id": "erosion", "stac_version": "1.0.0", "description": "The wearing away of soil and rock by weathering, mass wasting, and the action of streams, glaciers, waves, wind, and underground water.[Dictionary of Geological Terms, American Geological Institute, 1984.]The process by which soil, rock or sand is gradually worn away by water or wind action.[Adapted from: Garrison, T. 1993. Oceanography, An Invitation to Marine Science. Wadsworth Publishing Co. p. 519.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1e2b1b67-a401-4fb6-9ee9-b022c1c023dc?gtm_keyword=EROSION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cd7a7748-7231-4a73-b85c-b5696066230a?gtm_keyword=EROSION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b51f738c-7061-4ced-b216-53734ce4cb43?gtm_keyword=EROSION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/eec5b471-bcc5-4d9b-8274-f3990e79ed84?gtm_keyword=EROSION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" }, { "id": "Oceans" } ] } ], "title": "Erosion" }estuarine-wetlands/000077500000000000000000000000001517436701200346375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025621517436701200371510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/estuarine-wetlands{ "type": "Catalog", "id": "estuarine-wetlands", "stac_version": "1.0.0", "description": "Areas of marsh grasses and reeds along coasts and estuaries where the ground is covered by high tides but drained at low tide.[Nebel, Bernard J.and Richard T. Wright. Environmental Science-the Way the World Works. 1998. Prentice-Hall, Inc. Upper Saddle River, New Jersey.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3e924e3a-eb5d-4f81-8981-1b9f622ddc82?gtm_keyword=ESTUARINE%20WETLANDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0e1f3f95-58b5-4f10-b239-850c66ed55ff?gtm_keyword=ESTUARINE%20WETLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Estuarine Wetlands" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/estuary/000077500000000000000000000000001517436701200325745ustar00rootroot00000000000000catalog.json000066400000000000000000000022361517436701200350250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/estuary{ "type": "Catalog", "id": "estuary", "stac_version": "1.0.0", "description": "The place where animals or plants live in a semi-enclosed coastal embayment where fresh and saltwater mix (such as a river mouth estuary).[Adapted from Matthew Lerman, Marine Biology, 1986, The Benjamin/Cummings Publishing Company, Inc., Menlo Park, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5a1ebca4-057d-43b9-af6a-04f57b93f8bb?gtm_keyword=ESTUARY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Estuary" }eutrophication/000077500000000000000000000000001517436701200340565ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026011517436701200363620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/eutrophication{ "type": "Catalog", "id": "eutrophication", "stac_version": "1.0.0", "description": "Eutrophication is the accumulation of nutrients in a lake or pond due to human intervention (cultural eutrophication) or natural causes (natural eutrophication).[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. Belmont, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/53d36c39-3cb1-44db-9746-feee86cbe9d7?gtm_keyword=EUTROPHICATION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/53d36c39-3cb1-44db-9746-feee86cbe9d7?gtm_keyword=EUTROPHICATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Eutrophication" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/evaporation/000077500000000000000000000000001517436701200334275ustar00rootroot00000000000000catalog.json000066400000000000000000000021121517436701200356510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/evaporation{ "type": "Catalog", "id": "evaporation", "stac_version": "1.0.0", "description": "The physical process by which a liquid or solid is transformed to the gaseous state; the opposite of condensation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b68ab978-6db6-49ee-84e2-5f37b461a998?gtm_keyword=EVAPORATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Evaporation" }evapotranspiration/000077500000000000000000000000001517436701200347515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021501517436701200372540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/evapotranspiration{ "type": "Catalog", "id": "evapotranspiration", "stac_version": "1.0.0", "description": "The combined processes through which water is transferred to the atmosphere from open water and ice surfaces, bare soil, and vegetation that make up the earth's surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/26fc4850-7ba9-44d8-a156-5c623e17b72f?gtm_keyword=EVAPOTRANSPIRATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Evapotranspiration" }evergreen-vegetation/000077500000000000000000000000001517436701200351465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021721517436701200374550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/evergreen-vegetation{ "type": "Catalog", "id": "evergreen-vegetation", "stac_version": "1.0.0", "description": "Vegetation that has persistent leaves and whose crown is never totally bare. [Allaby, Michael, ed. 1998. A Dictionary of Plant Sciences, 2nd Edition. New York: Oxford University Press.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/16a7b4d6-e47f-4753-8803-f72edc4e1c5e?gtm_keyword=EVERGREEN%20VEGETATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Evergreen Vegetation" }exotic-vegetation/000077500000000000000000000000001517436701200344575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022731517436701200367700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/exotic-vegetation{ "type": "Catalog", "id": "exotic-vegetation", "stac_version": "1.0.0", "description": "Exotic vegetation are species of vegetation that are introduced to a geographical area where they are not native.[Nebel, Bernard J.and Richard T. Wright. 1998. Environmental Science-the Way the World Works. Prentice-Hall, Inc. Upper Saddle River, New Jersey.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f717330e-3656-4910-beed-d54cc9a19c2b?gtm_keyword=EXOTIC%20VEGETATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Exotic Vegetation" }export-production/000077500000000000000000000000001517436701200345265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000033631517436701200370400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/export-production{ "type": "Catalog", "id": "export-production", "stac_version": "1.0.0", "description": "Oceanic Export Production. Export production can be defined as steady-state Net Community Production (NCP) with all temporal lags accounted for and with a well defined depth horizon over which the community production is integrated over. (Laws 1991). This is the net amount of carbon assimilated in the euphotic zone that will be exported to deeper waters. Export Production can by definition only vary on timescales significantly longer that any processes directly controlling production and respiration as to not violate the steady state assumption. Export production is the amount of organic matter produced in the ocean by primary production that is not recycled (remineralised) before it sinks into the aphotic zone. Because of the role of export production in the ocean's biological pump, it is typically measured in units of carbon (e.g. mg mg C m?2 d?1).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://en.wikipedia.org/wiki/Marine_snow#:~:text=Export%20production%20is%20the%20amount,sinks%20into%20the%20aphotic%20zone.", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Export Production" }extinction-coefficients/000077500000000000000000000000001517436701200356445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020421517436701200401470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/extinction-coefficients{ "type": "Catalog", "id": "extinction-coefficients", "stac_version": "1.0.0", "description": "Coefficient of underwater light attenuation. Different coefficients are included as detailed variables (e.g. diffuse attenuation coefficient, etc.).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_search=Extinction%20Coefficients>m_scheme=all", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Extinction Coefficients" }extreme-drought/000077500000000000000000000000001517436701200341445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024061517436701200364530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/extreme-drought{ "type": "Catalog", "id": "extreme-drought", "stac_version": "1.0.0", "description": "Extreme Drought - Major crop/pasture losses; widespread water shortages or restrictions Palmer Drought Index: -4.0 to -4.9 CPC Soil Moisture Model (Percentiles): 3-5 USGS Weekly Streamflow (Percentiles): 3-5 Standardized Precipitation Index (SPI): -1.6 to -1.9 Objective Short and Long-term Drought Indicator Blends (Percentiles): 3-5", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e4c806af-ab57-4fda-b7e9-29e3c65f6ec5?gtm_keyword=EXTREME%20DROUGHT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Extreme Drought" }extreme-precipitation/000077500000000000000000000000001517436701200353425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026651517436701200376600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/extreme-precipitation{ "type": "Catalog", "id": "extreme-precipitation", "stac_version": "1.0.0", "description": "Extreme precipitation events in the form of high amounts of rainfall can contribute to flooding, landslides and mud flows. Effects of extreme precipitation on the natural environment can often be disproportionally larger than the cumulative effect of normal precipitation patterns. The magnitude of societal impacts of extremes depends upon a variety of factors such geographic location, population density, infrastructure design standards and emergency response systems (Parry et al., 2007)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fc5a1b7a-5ee8-4d67-80f5-a57e3f1734ab?gtm_keyword=EXTREME%20PRECIPITATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Extreme Precipitation" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/famine/000077500000000000000000000000001517436701200323375ustar00rootroot00000000000000catalog.json000066400000000000000000000022061517436701200345650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/famine{ "type": "Catalog", "id": "famine", "stac_version": "1.0.0", "description": "Widespread scarcity of food caused by several factors including crop failure, overpopulation, or government policies. This phenomenon is usually accompanied or followed by regional malnutrition, starvation, epidemic, and increased mortality.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6bb02b3d-be70-47b0-93d7-eb0c926f5979?gtm_keyword=FAMINE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Famine" }fault-movement-direction/000077500000000000000000000000001517436701200357425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021131517436701200402440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fault-movement-direction{ "type": "Catalog", "id": "fault-movement-direction", "stac_version": "1.0.0", "description": "The direction of a fault can be determined by its vector, which is can be found by studying the bend or the folding of the fault.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/399e5858-8238-451f-8da3-84dc9edfe9a2?gtm_keyword=FAULT%20MOVEMENT%20DIRECTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Fault Movement Direction" }fault-movement-rate/000077500000000000000000000000001517436701200347155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017421517436701200372260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fault-movement-rate{ "type": "Catalog", "id": "fault-movement-rate", "stac_version": "1.0.0", "description": "The rate at which the fracture spreads.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": 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}fire-weather-index/000077500000000000000000000000001517436701200345105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023421517436701200370160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fire-weather-index{ "type": "Catalog", "id": "fire-weather-index", "stac_version": "1.0.0", "description": "A fire weather index relates wind, temperature, relative humidity, and precipitation, to indicate conditions that influence fire starts, fire behavior, or fire suppression.[American Meteorological Society. 2000. Glossary of Meteorology, Second Edition. Boston, MA: American Meteorological Society.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f50672b3-13d8-4206-b6c9-a1f9891ea470?gtm_keyword=DROUGHT%20INDICES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Fire Weather Index" }firn-air-content/000077500000000000000000000000001517436701200342005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022421517436701200365050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/firn-air-content{ "type": "Catalog", "id": "firn-air-content", "stac_version": "1.0.0", "description": "Firn Air Content is a parameter within that data set and is defined as the volume of air trapped within the firn layer. This parameter is subtracted from the ice surface elevation to obtain ice thickness in actual ice equivalent.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0229714c-7960-4179-b671-30ceb9bf68bb?gtm_keyword=FIRN%20AIR%20CONTENT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Firn Air Content" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/firn-limit/000077500000000000000000000000001517436701200331525ustar00rootroot00000000000000catalog.json000066400000000000000000000026031517436701200354010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/firn-limit{ "type": "Catalog", "id": "firn-limit", "stac_version": "1.0.0", "description": "A line that marks the limit on a mountain above which snow persists from one winter to the next is called the annual snowline, and this line on a glacier is called the firnline. Above the firnline, snow that falls each year packs down and changes into glacier ice as air is slowly forced out of it. This part of the glacier is its accumulation area where more snow falls each year than is lost by melting. Below the firnline is the ablation area, where melting predominates.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9fec9f47-c45d-4f15-8be5-d71424f33647?gtm_keyword=FIRN%20LIMIT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Firn Limit" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/firn/000077500000000000000000000000001517436701200320365ustar00rootroot00000000000000catalog.json000066400000000000000000000021201517436701200342570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/firn{ "type": "Catalog", "id": "firn", "stac_version": "1.0.0", "description": "Rounded, well-bonded snow that is older han one year (from NSIDC glossary). A permeable aggregate of small ice grains with densities greater than 0.55 up to 0.82 where begins glacial ice.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6159b9d9-4aa5-4dec-8146-0e47751449ff?gtm_keyword=FIRN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Firn" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fisheries/000077500000000000000000000000001517436701200330615ustar00rootroot00000000000000catalog.json000066400000000000000000000021331517436701200353060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fisheries{ "type": "Catalog", "id": "fisheries", "stac_version": "1.0.0", "description": "Related to the act, process, or season of catching a species of fish or a group of species in marine and non-marine environments, excludes fish farming, hatcheries, and other aquaculture.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fa57b0a0-9723-4195-bdd1-4f26aefa0e07?gtm_keyword=FISHERIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Fisheries" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fjords/000077500000000000000000000000001517436701200323675ustar00rootroot00000000000000catalog.json000066400000000000000000000032301517436701200346130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fjords{ "type": "Catalog", "id": "fjords", "stac_version": "1.0.0", "description": "A deep narrow estuary in a valley originally cut by a glacier.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a90899c8-fe50-48e0-b92c-bb64f6ae681c?gtm_keyword=FJORDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c9291bc7-784d-486a-95fa-f08fa1edcad9?gtm_keyword=FJORDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6aed82cb-be90-4e58-ae33-14943ea555be?gtm_keyword=FJORDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6aed82cb-be90-4e58-ae33-14943ea555be?gtm_keyword=FJORDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7299f45f-eafb-4ed9-ae12-5e01c97c1530?gtm_keyword=FJORDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" }, { "id": "Solid Earth" } ] } ], "title": "Fjords" }flight-level-winds/000077500000000000000000000000001517436701200345255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020101517436701200370230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/flight-level-winds{ "type": "Catalog", "id": "flight-level-winds", "stac_version": "1.0.0", "description": "Winds experienced by an aircraft during flight level at any altitude.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/385af5fe-ad73-4e04-9d51-675599fb0576?gtm_keyword=FLIGHT%20LEVEL%20WINDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Flight Level Winds" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/floods/000077500000000000000000000000001517436701200323665ustar00rootroot00000000000000catalog.json000066400000000000000000000022211517436701200346110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/floods{ "type": "Catalog", "id": "floods", "stac_version": "1.0.0", "description": "The condition that occurs when water overflows the natural or artificial confines of a stream or other body of water, or accumulates by drainage over low-lying areas.[Dictionary of Earth Science, 5th ed.. 1997. Sybil Parker, ed. in chief. McGraw-Hill.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7fdc339e-017f-4e4b-89a3-12e441a40bad?gtm_keyword=FLOODS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Floods" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fluorescence/000077500000000000000000000000001517436701200335555ustar00rootroot00000000000000catalog.json000066400000000000000000000022521517436701200360040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fluorescence{ "type": "Catalog", "id": "fluorescence", "stac_version": "1.0.0", "description": "The emission of radiation, especially of visible light, by a substance during exposure to external radiation, as light or x-rays. Since the chlorophyll molecule fluoresces, the measurement of fluorescence can be used to calculate chlorophyll concentration in the ocean.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/a60ae1b6-abfc-4905-8c09-772da7bb1a10?gtm_keyword=FLUORESCENCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Fluorescence" }fluvial-landforms/000077500000000000000000000000001517436701200344465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023751517436701200367620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fluvial-landforms{ "type": "Catalog", "id": "fluvial-landforms", "stac_version": "1.0.0", "description": "\"Fluvial landforms\" are features on the Earth's surface produced by the action, i.e. erosion and deposition, of a stream or river and include such landforms as bars, levees, braided and meandering channels, and alluvial fans. \"Fluvial processes\" are those processes included in the action of running water in a stream or river", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/cb5193ab-2d7a-4b35-b7ec-f16ce78ae270?gtm_keyword=FLUVIAL%20LANDFORMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Fluvial Landforms" }fluvial-processes/000077500000000000000000000000001517436701200344675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026031517436701200367750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fluvial-processes{ "type": "Catalog", "id": "fluvial-processes", "stac_version": "1.0.0", "description": "The physical interaction of flowing water and the natural channels of rivers and streams. Such processes play an essential and conspicuous role in the denudation of land surfaces and the transport of rock detritus from higher to lower levels.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6f47ae88-f28f-43e3-be6a-34f86b15fe19?gtm_keyword=FLUVIAL%20PROCESSES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6f47ae88-f28f-43e3-be6a-34f86b15fe19?gtm_keyword=FLUVIAL%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Fluvial Processes" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fog/000077500000000000000000000000001517436701200316535ustar00rootroot00000000000000catalog.json000066400000000000000000000022621517436701200341030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fog{ "type": "Catalog", "id": "fog", "stac_version": "1.0.0", "description": "A visible aggregate of minute water droplets suspended in the atmosphere close to the ground; a cloud in contact with the earth's surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a5ad4f63-7483-4f07-86c7-57037e5faf6c?gtm_keyword=FOG>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/94668478-3b79-4819-847e-b154bf241aa3?gtm_keyword=FOG>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Fog" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/folds/000077500000000000000000000000001517436701200322075ustar00rootroot00000000000000catalog.json000066400000000000000000000022001517436701200344270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/folds{ "type": "Catalog", "id": "folds", "stac_version": "1.0.0", "description": "Pertaining to the measurement, mapping, analysis, and the processes involved in the formation of folds.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/a71c3d9d-7144-4107-add5-0aed0c731dbc?gtm_keyword=FOLDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/a2a3893c-de51-4ca7-a952-e9a43dd961a1?gtm_keyword=FOLDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Folds" }forest-composition-vegetation-structure/000077500000000000000000000000001517436701200410655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027041517436701200433750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-composition-vegetation-structure{ "type": "Catalog", "id": "forest-composition-vegetation-structure", "stac_version": "1.0.0", "description": "Forest Composition refers to the tree species which make up the forest. Vegetation Structure refers to the vertical arrangement of canopy layers and plants of different life forms, or the horizontal variation in canopy closure and canopy layers, or both. Vegetation Structure also includes standing dead trees (snags) and decaying logs on the ground (coarse woody debris).[Kimmins, J.P. 1997. Forest Ecology. Prentice Hall. Upper Saddle River, New Jersey.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a8d3f9a0-be0b-4690-86b9-ac64d951886a?gtm_keyword=FOREST%20COMPOSITION/VEGETATION%20STRUCTURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forest Composition/Vegetation Structure" }forest-conservation/000077500000000000000000000000001517436701200350335ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026371517436701200373500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-conservation{ "type": "Catalog", "id": "forest-conservation", "stac_version": "1.0.0", "description": "Management of the human use of the biosphere so that it may yield the greatest sustainable benefit to present generations while maintaining its potential to meet the needs and aspirations of future generations. It includes the preservation, maintenance, sustainable utilisation, restoration and enhancement of the environment.[From the Glossary of Forestry Terms, Ministry of Forests, Government of British Columbia, Canada. http://www.for.gov.bc.ca/hfd/library/documents/glossary/", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7ee9d286-0742-4844-b7eb-b7550d3f782b?gtm_keyword=FOREST%20CONSERVATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forest Conservation" }forest-fire-danger-index/000077500000000000000000000000001517436701200356115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026541517436701200401250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-fire-danger-index{ "type": "Catalog", "id": "forest-fire-danger-index", "stac_version": "1.0.0", "description": "A forest fire danger index (FDI) or burning index (BI) is a relative number related to the contribution that fire behavior makes to the amount of effort needed to contain a fire of a specified fuel type. The index may be calculated differently by different agencies around the world.[See the American Meteorological Society Glossary of Meteorology Online: http://amsglossary.allenpress.com/glossary. For other fire weather terms, see: http://www.fs.fed.us/r2/fire/fbgloss.htm", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/16329a9b-72ea-4b46-b507-2ce389c63f50?gtm_keyword=FOREST%20FIRE%20DANGER%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forest Fire Danger Index" }forest-mensuration/000077500000000000000000000000001517436701200346655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022451517436701200371750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-mensuration{ "type": "Catalog", "id": "forest-mensuration", "stac_version": "1.0.0", "description": "In forestry, the measurement of both standing and harvested timber; Forest measurements.[Dean, W., D.S. Evans. 1978. Terms of the Trade. A Handbook for the Forest Products Industry. Eugene, OR. Random Lengths Publications, Inc. 130p.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/31d01087-d5b8-4474-820c-d84d523dfb39?gtm_keyword=FOREST%20MENSURATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forest Mensuration" }forest-products-commodities/000077500000000000000000000000001517436701200364765ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024471517436701200410120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-products-commodities{ "type": "Catalog", "id": "forest-products-commodities", "stac_version": "1.0.0", "description": "Any measure related to or about the production of lumber, composite and reconstituted wood, pulp and paper, chemicals from trees, and other miscellaneous forest products.[Franzese, M.L., T.J. Thompson, and J. McNutt. 1978. Glossary of forestry related terms. Potlatch Corporation Internal Report. Lewiston, ID:Potlatch Corporation. 59p.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3676ebab-9aa0-43c2-94e5-5d59a34317d2?gtm_keyword=FOREST%20PRODUCTS/COMMODITIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forest Products/Commodities" }forest-protection/000077500000000000000000000000001517436701200345075ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024141517436701200370150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-protection{ "type": "Catalog", "id": "forest-protection", "stac_version": "1.0.0", "description": "Any measure related to or about the protection and/or conservation of forests from insects, diseases, pathogens, windstorms, excess logging, and decreased biotic diversity. [Franzese, M.L., T.J. Thompson, and J. McNutt. 1978. Glossary of forestry related terms. Potlatch Corporation Internal Report. Lewiston, ID:Potlatch Corporation. 59p.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/adeb4c27-a115-4ced-9827-5f022883f606?gtm_keyword=FOREST%20PROTECTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forest Protection" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-yields/000077500000000000000000000000001517436701200336715ustar00rootroot00000000000000catalog.json000066400000000000000000000025601517436701200361220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forest-yields{ "type": "Catalog", "id": "forest-yields", "stac_version": "1.0.0", "description": "Amount of product output recovered from a quantity of raw material input in forest product industries. - Estimate in forest mensuration of the amount of wood that may be harvested from a particular type of forest stand by species, site, stocking, and management regime at various ages.[Franzese, M.L., T.J. Thompson, and J. McNutt. 1978. Glossary of forestry related terms. Potlatch Corporation Internal Report. Lewiston, ID:Potlatch Corporation. 59p.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/49804617-d59b-4e97-8030-2c4ab79a3057?gtm_keyword=FOREST%20YIELDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forest Yields" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forests/000077500000000000000000000000001517436701200325655ustar00rootroot00000000000000catalog.json000066400000000000000000000021641517436701200350160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/forests{ "type": "Catalog", "id": "forests", "stac_version": "1.0.0", "description": "Areas in which vegetation is dominated by trees with their crowns overlapping, generally forming 60 - 100% cover.[The Nature Conservancy;Glossary of Terms Used in the US National Vegetation Classificaion Hierarchy, 1998]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/46e4aaa4-349c-4049-a910-035391360010?gtm_keyword=FORESTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Forests" }fossil-fuel-burning/000077500000000000000000000000001517436701200347135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023721517436701200372240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fossil-fuel-burning{ "type": "Catalog", "id": "fossil-fuel-burning", "stac_version": "1.0.0", "description": "Fossil fuel burning refers to the burning of any one of the organic fuels (coal, natural gas, oil, tar sands, and oil shale) derived from once living plants or animals.[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. Belmont, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/edfbff1e-b24b-40b9-be54-e1823b4d7f49?gtm_keyword=FOSSIL%20FUEL%20BURNING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Fossil Fuel Burning" }fraction-of-absorbed-photosynthetically-active-radiation-fapar/000077500000000000000000000000001517436701200452635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022221517436701200475660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fraction-of-absorbed-photosynthetically-active-radiation-fapar{ "type": "Catalog", "id": "fraction-of-absorbed-photosynthetically-active-radiation-fapar", "stac_version": "1.0.0", "description": "The fraction of the incoming solar radiation in the Photosynthetically Active Radiation spectral region that is absorbed by a photosynthetic organism, typically describing the light absorption across an integrated plant canopy.[FAO]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/fapar/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Fraction Of Absorbed Photosynthetically Active Radiation (FAPAR)" }fracture-zones/000077500000000000000000000000001517436701200337705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023161517436701200362770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/fracture-zones{ "type": "Catalog", "id": "fracture-zones", "stac_version": "1.0.0", "description": "Fracture zones are large, linear zone of irregular bathymetry of the sea floor, characterized by asymmetric ridges and troughs. Fracture zones are the topographic expression of transform faults, faults with horizontal displacement connecting the ends of an offset in a mid-ocean ridge.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/58c12630-a889-44c1-a951-56bbbe9758c9?gtm_keyword=FRACTURE%20ZONES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Fracture Zones" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freeboard/000077500000000000000000000000001517436701200330315ustar00rootroot00000000000000catalog.json000066400000000000000000000017221517436701200352610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freeboard{ "type": "Catalog", "id": "freeboard", "stac_version": "1.0.0", "description": "On sea ice, the height of the ice surface above the water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/a4466cbe-b991-427b-97b8-fdc284b9ef21?gtm_keyword=FREEBOARD>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Freeboard" }freeze-frost-probability/000077500000000000000000000000001517436701200357525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022571517436701200402650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freeze-frost-probability{ "type": "Catalog", "id": "freeze-frost-probability", "stac_version": "1.0.0", "description": "The freeze/frost probability levels represent the risk with regard to meeting or falling below a certain temperature threshold by a specific date, or within a specified number of days.[http://www.wrcc.dri.edu/ams/frzfrst.html]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/efc141a6-7d8e-45d5-b335-2fc122c62d78?gtm_keyword=FREEZE/FROST%20PROBABILITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Freeze/Frost Probability" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freeze-frost/000077500000000000000000000000001517436701200335135ustar00rootroot00000000000000catalog.json000066400000000000000000000026131517436701200357430ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freeze-frost{ "type": "Catalog", "id": "freeze-frost", "stac_version": "1.0.0", "description": "The condition that exists when, over a widespread area, the surface temperature of the air remains below freezing 0�C (32 F) for a sufficient amount of time to constitute the characteristic feature of the weather. A freeze is a term used for the condition when vegetation is injured by these low air temperatures, regardless if frost were deposited.[Glossary of Weather and Climate, American Meteorological Society, 1996.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/226d4804-1a09-4d9b-a5c1-346f52a2e709?gtm_keyword=FREEZE/FROST%20DATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Land" } ] } ], "title": "Freeze/Frost" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freeze-thaw/000077500000000000000000000000001517436701200333215ustar00rootroot00000000000000catalog.json000066400000000000000000000031141517436701200355460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freeze-thaw{ "type": "Catalog", "id": "freeze-thaw", "stac_version": "1.0.0", "description": "Pertaining to the measurement, rates, geographical extent of freezing, and melting of snow and ice cover.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dafb67df-dc6d-40a0-8d94-e4621d2538ce?gtm_keyword=FREEZE/THAW>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/24b052b6-5996-496d-9e91-1fdbda5897da?gtm_keyword=FREEZE/THAW>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f7849055-fa5c-437c-a8c6-08c7db3a3b0a?gtm_keyword=FREEZE/THAW>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4453ac7c-1869-4aef-8b06-dbdc9e63e245?gtm_keyword=FREEZE/THAW>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Freeze/Thaw" }freezing-index/000077500000000000000000000000001517436701200337375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022531517436701200362460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freezing-index{ "type": "Catalog", "id": "freezing-index", "stac_version": "1.0.0", "description": "(Also called \"coldness sun.\") As used by the U. S. 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Wikipedia: http://en.wikipedia.org/wiki/Discharge_%28hydrology%29#cite_note-0]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/12dc1f4f-2116-4b74-a1bd-bc61e8e57a5b?gtm_keyword=FRESH%20WATER%20RIVER%20DISCHARGE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Fresh Water River Discharge" }freshwater-runoff/000077500000000000000000000000001517436701200344705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023201517436701200367720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/freshwater-runoff{ "type": "Catalog", "id": "freshwater-runoff", "stac_version": "1.0.0", "description": "The measurment of the flow of water in a stream, usually expressed in cubic feet per second; the net effect of storms, accumulation, transpiration, meltage, seepage, evaporation, and percolation.[Dictionary of Earth Science, 5th ed. 1997. Sybil Parker, ed. in chief. 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"https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/22b339b5-1af5-46e3-8191-d93729001eeb?gtm_keyword=FRONTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Fronts" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/frost/000077500000000000000000000000001517436701200322355ustar00rootroot00000000000000catalog.json000066400000000000000000000021731517436701200344660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/frost{ "type": "Catalog", "id": "frost", "stac_version": "1.0.0", "description": "Pertaining to the measurement, geographic extent, 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"https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6221fa7d-9407-4ffc-ab58-886038209254?gtm_keyword=GAS%20FLARING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Gas Flaring" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gas-hydrates/000077500000000000000000000000001517436701200334735ustar00rootroot00000000000000catalog.json000066400000000000000000000017571517436701200357330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gas-hydrates{ "type": "Catalog", "id": "gas-hydrates", "stac_version": "1.0.0", "description": "Pertaining to the location, mining, production, or use of Methane Hydrates.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/a654a922-8b69-46f2-be40-d4d830ce999c?gtm_keyword=GAS%20HYDRATES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Gas Hydrates" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gelbstoff/000077500000000000000000000000001517436701200330535ustar00rootroot00000000000000catalog.json000066400000000000000000000022161517436701200353020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gelbstoff{ "type": "Catalog", "id": "gelbstoff", "stac_version": "1.0.0", "description": "Dissolved organic matter (DOM) produced by the decomposition of plant material and the metabolism of plankton, originating in the ocean or brought to the ocean by rivers, and producing a distinctive yellow-brown to yellow-red coloration of the water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/87b074b4-9b73-4e69-b8c0-0f112b1cfa6d?gtm_keyword=GELBSTOFF>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Gelbstoff" }geomagnetic-forecasts/000077500000000000000000000000001517436701200352725ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000052231517436701200376010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geomagnetic-forecasts{ "type": "Catalog", "id": "geomagnetic-forecasts", "stac_version": "1.0.0", "description": "Forecasts of the likelihood (from 1% to 99%) that the daily geomagnetic activity level will reach a particular activity category. The four categories are Quiet to Unsettled, Active, Minor Storm, and Major to Severe Storm. The geomagnetic category assigned to a day is determined by the highest observed k-index for the day. Quiet to Unsettled = k 0 to k 3, Active = k 4, Minor Storm = k 5, and Major to Severe Storm = k 6 to k 9. Middle-latitude forecasts are verified against Fredericksburg, VA observations and High-latitude forecasts are verified against College, AK observations. Forecast lead times range from one to three days.The levels of geomagnetic field activity, or disturbance, currently used in the long-term (up to 27 days) forecasts are labelled qualitatively for general usage. For each of the three major zones (subauroral, auroral, polar cap), the range of activity is divided into four classifications: quiet, unsettled, active, storm. The actual parameter used for reporting and forecasting magnetic activity is a daily index. It is known as DRX and is the average of the hourly ranges (maximum minus minimum during each hour) in the X (northward) component of the magnetic field intensity for a day (the UT [or GMT] day), i.e., DRX for the zone is the mean of 24 values. Because this averaging process has the effect of smoothing (filtering) the more rapid fluctuations in the field, the qualitative descriptors are defined rather differently than for the short-term forecasts. Units are nanoteslas (nT).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/02290e22-24ae-40f6-96f1-0c6c76a145af?gtm_keyword=GEOMAGNETIC%20FORECASTS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/882d9a10-713c-4b58-8c7b-d9af086115a3?gtm_keyword=GEOMAGNETIC%20FORECASTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Geomagnetic Forecasts" }geomagnetic-indices/000077500000000000000000000000001517436701200347175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025251517436701200372300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geomagnetic-indices{ "type": "Catalog", "id": "geomagnetic-indices", "stac_version": "1.0.0", "description": "Geomagnetic indices are an indicator of geomagntic activity caused by solar events. Typical geomagntic indices are: a, A, Ap, Dst, K, and Kp. The A-index, for example, is a daily average composed of 3-hour data points. Geomagnetic indices can be used in conjunction with solar \"wind\" data to predict the onset and intensity of geomagnetic storms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/990016e0-f247-4c36-8a17-f50e792a964a?gtm_keyword=GEOMAGNETIC%20INDICES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" }, { "id": "Solid Earth" } ] } ], "title": "Geomagnetic Indices" }geomagnetic-induction/000077500000000000000000000000001517436701200352755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020411517436701200375770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geomagnetic-induction{ "type": "Catalog", "id": "geomagnetic-induction", "stac_version": "1.0.0", "description": "Geomagnetic electromotive force generated in a closed circuit by a change in the flow of currents.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/ee421700-0fe2-420c-9a07-91e8ae9fb524?gtm_keyword=GEOMAGNETIC%20INDUCTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Geomagnetic Induction" }geopotential-height/000077500000000000000000000000001517436701200347615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021421517436701200372650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geopotential-height{ "type": "Catalog", "id": "geopotential-height", "stac_version": "1.0.0", "description": "The height of a given point in the atmosphere in units proportional to the potential energy of unit mass (geopotential) at this height, relative to sea level.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d6aec072-daf9-4f96-b667-6c7831cf6bdd?gtm_keyword=GEOPOTENTIAL%20HEIGHT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Geopotential Height" }geotechnical-properties/000077500000000000000000000000001517436701200356405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025111517436701200401440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geotechnical-properties{ "type": "Catalog", "id": "geotechnical-properties", "stac_version": "1.0.0", "description": "A distinguishing trait, quality, or property of any deposit of insoluble material, primarily rock and soil particles, transported from land areas to the ocean by wind, ice, and rivers, as well as the remains of marine organisms, products of submarine volcanism, chemical precipitates from seawater, and materials from outer space (e.g., meteorites) that accumulate on the seafloor.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d4f4b5d3-27b2-4b7d-bb69-733b67ac687a?gtm_keyword=GEOTECHNICAL%20PROPERTIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Geotechnical Properties" }geothermal-energy/000077500000000000000000000000001517436701200344375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022301517436701200367410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geothermal-energy{ "type": "Catalog", "id": "geothermal-energy", "stac_version": "1.0.0", "description": "Heat transferred from the earth's molten core to under-ground deposits of dry steam (steam with no water droplets), wet steam (a mixture of steam and water droplets), hot water, or rocks lying fairly close to the earth's surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/33d1810f-40c6-4b37-ac90-7435ef5fa507?gtm_keyword=GEOTHERMAL%20ENERGY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Geothermal Energy" }geothermal-heat-flux/000077500000000000000000000000001517436701200350435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020461517436701200373520ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geothermal-heat-flux{ "type": "Catalog", "id": "geothermal-heat-flux", "stac_version": "1.0.0", "description": "The amount of heat moving steadily outward from the interior of the earth through a unit area in unit time.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://nsidc.org/learn/cryosphere-glossary/geothermal-heat-flux#:~:text=geothermal%20heat%20flux-,geothermal%20heat%20flux,unit%20area%20in%20unit%20time.", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Geothermal Heat Flux" }geothermal-temperature/000077500000000000000000000000001517436701200355035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020241517436701200400060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/geothermal-temperature{ "type": "Catalog", "id": "geothermal-temperature", "stac_version": "1.0.0", "description": "Describes the temperature of the geothermal energy (heat) released from the Earth.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/cacfd8f0-b83a-46b7-b324-52ce1b55baa9?gtm_keyword=GEOTHERMAL%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Geothermal Temperature" }glacial-lake-extent/000077500000000000000000000000001517436701200346345ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021721517436701200371430ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacial-lake-extent{ "type": "Catalog", "id": "glacial-lake-extent", "stac_version": "1.0.0", "description": "A glacial lake is a body of water with origins from glacier activity. They are formed when a glacier erodes the land, and then melts, filling the depression created by the glacier.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c0fba127-5208-4e8c-b18f-349dc14fb3d3?gtm_keyword=GLACIAL%20LAKE%20EXTENT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glacial Lake Extent" }glacial-landforms/000077500000000000000000000000001517436701200344005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024451517436701200367120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacial-landforms{ "type": "Catalog", "id": "glacial-landforms", "stac_version": "1.0.0", "description": "Landforms created by the action of glaciers. Most of glacial landforms today were created by the movement of large ice sheets during the Quaternary glaciations.Landforms created by the action of glaciers. Most of glacial landforms today were created by the movement of large ice sheets during the Quaternary glaciations.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/3c78951a-0293-4fb0-baff-ec7372fe784d?gtm_keyword=GLACIAL%20LANDFORMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Cryosphere" } ] } ], "title": "Glacial Landforms" }glacial-processes/000077500000000000000000000000001517436701200344215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031651517436701200367330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacial-processes{ "type": "Catalog", "id": "glacial-processes", "stac_version": "1.0.0", "description": "A glacier is an accumulation of ice, air, water, and rock debris or sediment. It is a large enough quantity of ice to flow with gravity due to its own mass. The ice can be as large as a continent, such as the ice sheet covering Antarctica; or, it can fill a small valley between two mountains, such as a valley glacier. \"Glacial landforms/processes\" refers to the erosional or depositional processes of glaciers and the landforms (e.g., drumlins, cirques, fjords) that result.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b409a30b-0e3f-4592-bec9-7d371797b4a9?gtm_keyword=GLACIAL%20PROCESSES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d7b62912-5970-46b1-be45-6a603c9a6979?gtm_keyword=GLACIAL%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Cryosphere" } ] } ], "title": "Glacial Processes" }glacier-elevation-ice-sheet-elevation/000077500000000000000000000000001517436701200402435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025431517436701200425540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacier-elevation-ice-sheet-elevation{ "type": "Catalog", "id": "glacier-elevation-ice-sheet-elevation", "stac_version": "1.0.0", "description": "Pertaining to the measured height of large thick, glaciers, with an area of at least 50,000 sq. km, covering a continuous stretch of land and growing in all directions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/13bf19c5-087f-4fe0-87ea-ef6f7ecd5444?gtm_keyword=GLACIER%20ELEVATION/ICE%20SHEET%20ELEVATION>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/83bd640d-cd05-49a8-9ec7-aab60820b126?gtm_keyword=GLACIER%20ELEVATION/ICE%20SHEET%20ELEVATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glacier Elevation/Ice Sheet Elevation" }glacier-facies/000077500000000000000000000000001517436701200336575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027171517436701200361730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacier-facies{ "type": "Catalog", "id": "glacier-facies", "stac_version": "1.0.0", "description": "In general, facies are the set of all characteristics of a sedimetary rock that indicates its particular environment of deposition and which distinguish it from other facies in the same rock. Glacial facies refer to the characteristic nature of glacial ice and/or the processes by which the ice formed and processes by which rock debris from the bed is entrained into the ice.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/399a84d1-ccf5-4167-a699-15eb7d1ad1e6?gtm_keyword=GLACIER%20FACIES>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/613c1fba-8710-47fb-a8e1-e4cd50bb97e1?gtm_keyword=GLACIER%20FACIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glacier Facies" }glacier-mass-balance-ice-sheet-mass-balance/000077500000000000000000000000001517436701200411435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025441517436701200434550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacier-mass-balance-ice-sheet-mass-balance{ "type": "Catalog", "id": "glacier-mass-balance-ice-sheet-mass-balance", "stac_version": "1.0.0", "description": "Mass balance describes the net gain or loss of snow and ice through a given year. It is usually expressed in terms of water gain or loss.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9f408faa-a427-44e9-a194-b1b9caff1e6d?gtm_keyword=GLACIER%20MASS%20BALANCE/ICE%20SHEET%20MASS%20BALANCE>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6095d796-68e0-4c7d-aa4f-f2e5bd8c4916?gtm_keyword=GLACIER%20MASS%20BALANCE/ICE%20SHEET%20MASS%20BALANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glacier Mass Balance/Ice Sheet Mass Balance" }glacier-motion-ice-sheet-motion/000077500000000000000000000000001517436701200371015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023431517436701200414100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacier-motion-ice-sheet-motion{ "type": "Catalog", "id": "glacier-motion-ice-sheet-motion", "stac_version": "1.0.0", "description": "The rate of flow of the glacier/ice sheet over a period of time.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/73f3c797-2eed-4f0d-accf-7e8a36a3fa93?gtm_keyword=GLACIER%20MOTION/ICE%20SHEET%20MOTION>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4c9afaf7-4aec-440d-8084-6a482de09e7a?gtm_keyword=GLACIER%20MOTION/ICE%20SHEET%20MOTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glacier Motion/Ice Sheet Motion" }glacier-thickness-ice-sheet-thickness/000077500000000000000000000000001517436701200402555ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023671517436701200425720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacier-thickness-ice-sheet-thickness{ "type": "Catalog", "id": "glacier-thickness-ice-sheet-thickness", "stac_version": "1.0.0", "description": "The difference in height between two levels in the glacier or ice sheet.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5034ba1f-7208-40a1-beeb-43aefe1c0c33?gtm_keyword=GLACIER%20THICKNESS/ICE%20SHEET%20THICKNESS>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6a8a6fdb-c431-4d32-8cea-5849e2ee1f33?gtm_keyword=GLACIER/ICE%20SHEET%20THICKNESS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glacier Thickness/Ice Sheet Thickness" }glacier-topography-ice-sheet-topography/000077500000000000000000000000001517436701200406575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026001517436701200431620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glacier-topography-ice-sheet-topography{ "type": "Catalog", "id": "glacier-topography-ice-sheet-topography", "stac_version": "1.0.0", "description": "Surface relief of the land. Topography usually is measured in meters above sea level. The topography can be very different from one location to another. Topography can be flat, or mountainous, or hilly.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bf19f1d1-ae18-4ff2-95f6-dc0ed812c568?gtm_keyword=GLACIER%20TOPOGRAPHY/ICE%20SHEET%20TOPOGRAPHY>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c3e4d439-bbb0-48c9-89eb-57d3a330627a?gtm_keyword=GLACIER/ICE%20SHEET%20TOPOGRAPHY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glacier Topography/Ice Sheet Topography" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glaciers/000077500000000000000000000000001517436701200326715ustar00rootroot00000000000000catalog.json000066400000000000000000000016761517436701200351310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/glaciers{ "type": "Catalog", "id": "glaciers", "stac_version": "1.0.0", "description": "A mass of land ice, formed by the further recrystallization of firn, flowing continuously from higher to lower elevations.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/glaciers", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Glaciers" }globally-integrated-angular-momentum/000077500000000000000000000000001517436701200402405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027651517436701200425570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/globally-integrated-angular-momentum{ "type": "Catalog", "id": "globally-integrated-angular-momentum", "stac_version": "1.0.0", "description": "The atmospheric angular momentum is the product of mass times the rotational velocity times the perpendicular distance from the axis of rotation. A rotating object will conserve its angular momentum unless a torque acts to change its rotation. The axial component is of interest in climate and is determined by the distribution of atmospheric mass and zonal wind relative to the earth's rotation axis. Higher than normal surface pressure in the tropics or strong westerly flow there contributes to greater AAM.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/523c148f-bb4f-47d0-b176-0949ed59288a?gtm_keyword=GLOBALLY%20INTEGRATED%20ANGULAR%20MOMENTUM>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Globally Integrated Angular Momentum" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/grasslands/000077500000000000000000000000001517436701200332415ustar00rootroot00000000000000catalog.json000066400000000000000000000020161517436701200354660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/grasslands{ "type": "Catalog", "id": "grasslands", "stac_version": "1.0.0", "description": "Areas in which vegetation is dominated by perennial grasses and grass-like plants, such as sedges and rushes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/142ea0c1-b77f-44da-8c64-ac7ee13fd5f6?gtm_keyword=GRASSLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Grasslands" }gravitational-field/000077500000000000000000000000001517436701200347465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020201517436701200372450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gravitational-field{ "type": "Catalog", "id": "gravitational-field", "stac_version": "1.0.0", "description": "Pertaining to the measurement, strength, size, etc. of the Earth's gravitational field.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/56b4cbe5-e5f7-4e61-8c48-bbb858b505e6?gtm_keyword=GRAVITATIONAL%20FIELD>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Gravitational Field" }gravity-anomalies/000077500000000000000000000000001517436701200344545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027371517436701200367720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gravity-anomalies{ "type": "Catalog", "id": "gravity-anomalies", "stac_version": "1.0.0", "description": "The Earth's gravity field is determined by how the material that makes up the Earth is distributed throughout the Earth. Because gravity changes over the surface of the Earth, the weight of an object changes along with it. One can define standard gravity as the value of gravity for a perfectly smooth 'idealized' Earth, and the gravity 'anomaly' is a measure of how actual gravity deviates from this standard. A map of gravity anomalies (usually expressed in units of milliGals) tends to highlight short wavelength features better than a map of the geoid.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/fb7eeee0-9ad1-40f8-baa2-df7dc3acb6d3?gtm_keyword=GRAVITY%20ANOMALIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Gravity Anomalies" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gravity-waves/000077500000000000000000000000001517436701200337105ustar00rootroot00000000000000catalog.json000066400000000000000000000021651517436701200361420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gravity-waves{ "type": "Catalog", "id": "gravity-waves", "stac_version": "1.0.0", "description": "A progressive wave occurring at the boundary between liquids of different densities. A wave disturbance in which buoyancy acts as the restoring force on parcels displaced from hydrostatic equilibrium.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7e6f7c15-32e7-4b6e-bd35-7bff4bc03caf?gtm_keyword=GRAVITY%20WAVE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Gravity Waves" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gravity/000077500000000000000000000000001517436701200325655ustar00rootroot00000000000000catalog.json000066400000000000000000000026151517436701200350170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gravity{ "type": "Catalog", "id": "gravity", "stac_version": "1.0.0", "description": "The natural phenomenon by which physical bodies appear to attract each other with a force proportional to their masses. It is most commonly experienced as the agent that gives weight to objects with mass and causes them to fall to the ground when dropped. The phenomenon of gravitation itself, however, is a byproduct of a more fundamental phenomenon described by general relativity, which suggests that spacetime is curved according to the energy and momentum of whatever matter and radiation are present.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/69af3046-08e0-4c24-981d-803c0412ce58?gtm_keyword=GRAVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Gravity" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ground-ice/000077500000000000000000000000001517436701200331345ustar00rootroot00000000000000catalog.json000066400000000000000000000030001517436701200353530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ground-ice{ "type": "Catalog", "id": "ground-ice", "stac_version": "1.0.0", "description": "A general term referring to all types of ice contained in freezing and frozen ground. Ground ice occurs in pores, cavities, voids or other openings in soil or rock and includes massive ice. It may occur as lenses, wedges, veins, sheets, seams, irregular masses, or as individual crystals or coatings on mineral or organic particles. Perennial ground ice can only occur within permafrost bodies.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4931dcac-8b89-4bc9-ba59-469cfdcf6f12?gtm_keyword=GROUND%20ICE>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dc9fcd27-58ac-4705-a522-6475d59cfb81?gtm_keyword=GRAVITY%20WAVES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Land" } ] } ], "title": "Ground Ice" }groundwater-chemistry/000077500000000000000000000000001517436701200353675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020031517436701200376670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/groundwater-chemistry{ "type": "Catalog", "id": "groundwater-chemistry", "stac_version": "1.0.0", "description": "Pertaining to the various chemical substances contained within groundwater.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/8435030e-8d16-409f-a812-ace5d8ffc122?gtm_keyword=GROUNDWATER%20CHEMISTRY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Groundwater Chemistry" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/groundwater/000077500000000000000000000000001517436701200334415ustar00rootroot00000000000000catalog.json000066400000000000000000000031601517436701200356670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/groundwater{ "type": "Catalog", "id": "groundwater", "stac_version": "1.0.0", "description": "It is estimated that groundwater accounts for about 30% of the world's total freshwater resources, and it is by far the largest available reservoir of liquid freshwater. Groundwater counts in average for one third of the freshwater consumed by humans, but at some parts of the world, this percentage can reach up to 100%. Climate change affects groundwater recharge rates through changes in precipitation and evapotranspiration. However, attributing observed groundwater change to climate change is difficult because of the influence of land-use change and groundwater abstraction. The extent to which groundwater recharge and storage has already been affected by climate change is widely unknown. Climate change can also affect groundwater through saltwater intrusion in coastal aquifers as sea level rises.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/groundwater/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Groundwater" }growing-degree-days/000077500000000000000000000000001517436701200346645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026771517436701200372050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/growing-degree-days{ "type": "Catalog", "id": "growing-degree-days", "stac_version": "1.0.0", "description": "(Abbreviated GDD.) A heat index that relates the development of plants, insects, and disease organisms to environmental air temperature. GDD are a measure of heat accumulation used by horticulturists, gardeners, and farmers to predict plant and pest development rates such as the date that a flower will bloom or a crop reach maturity.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a43f9a02-769d-4343-8790-fa29a0507f44?gtm_keyword=GROWING%20DEGREE%20DAYS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6d808909-ce04-4401-a883-aff4d723d025?gtm_keyword=GROWING%20DEGREE%20DAYS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Growing Degree Days" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gyres/000077500000000000000000000000001517436701200322315ustar00rootroot00000000000000catalog.json000066400000000000000000000017311517436701200344610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/gyres{ "type": "Catalog", "id": "gyres", "stac_version": "1.0.0", "description": "The large-scale pattern of circulation around the entire ocean basin.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fc0a6bb2-27f0-48e8-89f1-ebfc7ccd4823?gtm_keyword=GYRES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Gyres" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hail/000077500000000000000000000000001517436701200320155ustar00rootroot00000000000000catalog.json000066400000000000000000000021351517436701200342440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hail{ "type": "Catalog", "id": "hail", "stac_version": "1.0.0", "description": "A type of frozen precipitation in the form of balls or irregular lumps of ice, usually consisting of concentric layers of ice. Hail is always produced by convective clouds, nearly always cumulonimbus.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7118d286-6629-48e5-931f-052cd347395e?gtm_keyword=HAIL>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hail" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/halocarbons/000077500000000000000000000000001517436701200333735ustar00rootroot00000000000000catalog.json000066400000000000000000000026001517436701200356170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/halocarbons{ "type": "Catalog", "id": "halocarbons", "stac_version": "1.0.0", "description": "Halocarbons containing chlorine and bromine are among the most potent greenhouse gases in the atmosphere. They do not occur naturally but are produced industrially in large quantities. The best known members of this group of chemicals are the chlorofluorocarbons (CFCs) [see definition], which are widely used as solvents, refrigerants, spray-can propellants and foaming agents. Also significant are the halons, bromine-based compounds used as fire-extinguishing agents.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/13588158-07b6-4294-a00c-fa095b6ad4fd?gtm_keyword=HALOCARBONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Halocarbons" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/halocline/000077500000000000000000000000001517436701200330365ustar00rootroot00000000000000catalog.json000066400000000000000000000017311517436701200352660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/halocline{ "type": "Catalog", "id": "halocline", "stac_version": "1.0.0", "description": "The zone of the ocean in which salinity increases rapidly with depth.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/04305c55-14f0-42a3-a099-79eb326946d7?gtm_keyword=HALOCLINE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Halocline" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/halons/000077500000000000000000000000001517436701200323645ustar00rootroot00000000000000catalog.json000066400000000000000000000037151517436701200346200ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/halons{ "type": "Catalog", "id": "halons", "stac_version": "1.0.0", "description": "Halon: a compound consisting of bromine, fluorine, and carbon Halons are used as fire extinguishing agents, both in built-in systems and in handheld portable fire extinguishers. Halon production in the U.S. ended on December 31, 1993, because they contribute to ozone depletion. They cause ozone depletion because they contain bromine. Bromine is many times more effective at destroying ozone than chlorine. At the time the current U.S. tax code was adopted, the ozone depletion potentials of halon 1301 and halon 1211 were observed to be 10 and 3, respectively. These values are used for tax calculations. Recent scientific studies, however, indicate that the ODPs are at least 12 and 6, respectively. Note: technically, all compounds containing carbon and fluorine and/or chlorine are halons, but in the context of the Clean Air Act, \"halon\" means a fire extinguishing agent as described above. A table of class I substances (http://www.epa.gov/ozone/science/ods/classone.html) shows their ODPs, GWPs, and CAS numbers. Halons are numbered according to a standard scheme.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/33e3c858-25ee-4a5e-a938-93779679ed06?gtm_keyword=HALONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Halons" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heat-flux/000077500000000000000000000000001517436701200327755ustar00rootroot00000000000000catalog.json000066400000000000000000000031661517436701200352310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heat-flux{ "type": "Catalog", "id": "heat-flux", "stac_version": "1.0.0", "description": "Heat flux is the amount of heat that is transferred across a surface of unit area in a unit of time. Also refers to latent and sensible heat fluxes in the atmosphere and between the Earth's surface and atmosphere. In ocean domain it is defined as: The measurement of the heat flux or heat loss from open ocean areas within the sea ice pack is important for the study of energy balance in the polar regions and local and regional climatology. Heat loss through the open water is 100 times more than through thick ice.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/46a3c823-727d-4c3c-b09d-e3e3fcaa43a5?gtm_keyword=HEAT%20FLUX>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ae1c9b54-caf2-4726-b180-5c6544f09111?gtm_keyword=HEAT%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Heat Flux" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heat/000077500000000000000000000000001517436701200320215ustar00rootroot00000000000000catalog.json000066400000000000000000000017061517436701200342530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heat{ "type": "Catalog", "id": "heat", "stac_version": "1.0.0", "description": "Hot weather, which may be accompanied by high humidity.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bb9c9be6-78c7-4fbd-9a35-a218276393ec?gtm_keyword=HEAT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Heat" }heating-degree-days/000077500000000000000000000000001517436701200346275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000051111517436701200371320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heating-degree-days{ "type": "Catalog", "id": "heating-degree-days", "stac_version": "1.0.0", "description": "Generally, a measure of the departure of the mean daily temperature from a given standard: one degree-day for each degree (�C or �F) of departure above (or below) the standard during one day. Degree days are based on the assumption that when the outside temperature is 65�F, we don't need heating or cooling to be comfortable. Degree days are the difference between the daily temperature mean, (high temperature plus low temperature divided by two) and 65�F. If the temperature mean is above 65�F, we subtract 65 from the mean and the result is Cooling Degree Days. If the temperature mean is below 65�F, we subtract the mean from 65 and the result is Heating Degree Days. -------------------------------------------------------------------------- Example 1: The high temperature for a particular day was 90�F and the low temperature was 66�F. The temperature mean for that day was: ( 90�F + 66�F ) / 2 = 78�F Because the result is above 65�F: 78�F - 65�F = 13 Cooling Degree Days Example 2: The high temperature for a particular day was 33�F and the low temperature was 25�F. The temperature mean for that day was: ( 33�F + 25�F ) / 2 = 29�F Because the result is below 65�F: 65�F - 29�F = 36 Heating Degree Days. The calculations shown in the two examples above are performed for each day of the year and the daily degree days are accumulated so that we can compare months and seasons.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/349b4322-26ff-4b3c-90fb-b3b1afd20755?gtm_keyword=HEATING%20DEGREE%20DAYS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fe2bc223-e503-4ca1-924c-d3fd5876721c?gtm_keyword=HEATING%20DEGREE%20DAYS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Heating Degree Days" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heating-rate/000077500000000000000000000000001517436701200334505ustar00rootroot00000000000000catalog.json000066400000000000000000000017571517436701200357100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heating-rate{ "type": "Catalog", "id": "heating-rate", "stac_version": "1.0.0", "description": "The heat flux that is dissipated or absorbed by the ocean over a period of time.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/ed2e9f34-2358-4a2a-a83e-febba8989c5c?gtm_keyword=HEATING%20RATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Heating Rate" }heavy-metals-concentration/000077500000000000000000000000001517436701200362645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020641517436701200405730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heavy-metals-concentration{ "type": "Catalog", "id": "heavy-metals-concentration", "stac_version": "1.0.0", "description": "Heavy Metals are any of the high atomic weight metals such as lead, mercury, cadmium, and zinc.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0c4ffc6a-694d-4f33-bc18-06fefb68acdd?gtm_keyword=HEAVY%20METALS%20CONCENTRATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Heavy Metals Concentration" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heavy-metals/000077500000000000000000000000001517436701200334775ustar00rootroot00000000000000catalog.json000066400000000000000000000023141517436701200357250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heavy-metals{ "type": "Catalog", "id": "heavy-metals", "stac_version": "1.0.0", "description": "Those metals which have densities >5.0 Mg m-3. In soils these include the elements Cd, Co, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, and Zn.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8b3939b6-1c11-4a79-878e-0be1b231c528?gtm_keyword=HEAVY%20METALS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/49ee4fcc-a0ad-4638-aec9-90b4946d8922?gtm_keyword=HEAVY%20METALS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Heavy Metals" }heavy-nuclei-flux/000077500000000000000000000000001517436701200343665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020411517436701200366700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/heavy-nuclei-flux{ "type": "Catalog", "id": "heavy-nuclei-flux", "stac_version": "1.0.0", "description": "Solar energetic particles consisting of nuclei of elements heavier than protons and electrons.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d9ce8e7e-44ff-4555-a910-86b87daca0c2?gtm_keyword=ION%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Heavy Nuclei Flux" }humidity-index/000077500000000000000000000000001517436701200337625ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022241517436701200362670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/humidity-index{ "type": "Catalog", "id": "humidity-index", "stac_version": "1.0.0", "description": "The Humidity Index is based on a ratio of annual precipitation and potential evapotranspiration There are various humidity indices including: The Global Humidity Index Evaporative Cooling Humidity Index Heat-Humidity Index.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cdd7a31f-3244-494d-bc44-7b5f1ebb4bd7?gtm_keyword=HUMIDITY%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Humidity Index" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/humidity/000077500000000000000000000000001517436701200327345ustar00rootroot00000000000000catalog.json000066400000000000000000000023531517436701200351650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/humidity{ "type": "Catalog", "id": "humidity", "stac_version": "1.0.0", "description": "Measure of the water vapor content of air. The multiplicity of humidity measures is partly due to different methods of measurement and partly because the conservative measures (mixing ratio, specific humidity) cover an extremely wide dynamic range, as a result of the rapid variation of saturation vapor pressure with temperature.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/427e5121-a142-41cb-a8e9-a70b7f98eb6a?gtm_keyword=HUMIDITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Humidity" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hurricanes/000077500000000000000000000000001517436701200332435ustar00rootroot00000000000000catalog.json000066400000000000000000000022211517436701200354660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hurricanes{ "type": "Catalog", "id": "hurricanes", "stac_version": "1.0.0", "description": "A tropical cyclone with 1-min average surface (10 m) winds in excess of 32 m s-1 (64 knots) in the Western Hemisphere (North Atlantic Ocean, Caribbean Sea, Gulf of Mexico, and in the eastern and central North Pacific east of the date line).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6314f68a-1f00-4e6d-9f06-b3e2ce4348e8?gtm_keyword=HURRICANES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Hurricanes" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydration/000077500000000000000000000000001517436701200331015ustar00rootroot00000000000000catalog.json000066400000000000000000000017761517436701200353420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydration{ "type": "Catalog", "id": "hydration", "stac_version": "1.0.0", "description": "Pertaining to the process by which water molecules are incorporated into existing crystal structures.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/2b1f870b-c679-4b6d-b02e-3eb005f0648d?gtm_keyword=HYDRATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Hydration" }hydraulic-conductivity/000077500000000000000000000000001517436701200355275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024001517436701200400300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydraulic-conductivity{ "type": "Catalog", "id": "hydraulic-conductivity", "stac_version": "1.0.0", "description": "A measure of the readiness with which a liquid, such as water, flows through a solid, such as soil, in response to a given potential gradient.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7112e739-cb5d-427e-95bd-5419360e91d8?gtm_keyword=HYDRAULIC%20CONDUCTIVITY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e2a88ac8-7bf3-408c-b2b4-b3217f9e4917?gtm_keyword=HYDRAULIC%20CONDUCTIVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Hydraulic Conductivity" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrocarbons/000077500000000000000000000000001517436701200335755ustar00rootroot00000000000000catalog.json000066400000000000000000000022111517436701200360170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrocarbons{ "type": "Catalog", "id": "hydrocarbons", "stac_version": "1.0.0", "description": "Organic compounds composed entirely of carbon and hydrogen atoms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6d8eb011-ffb5-4e18-ac59-2d8f84353734?gtm_keyword=HYDROCARBONS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/344cbd30-a2e4-437e-9fc9-5e6b1c484bac?gtm_keyword=HYDROCARBONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Hydrocarbons" }hydrochlorofluorocarbons/000077500000000000000000000000001517436701200361545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024641517436701200404670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrochlorofluorocarbons{ "type": "Catalog", "id": "hydrochlorofluorocarbons", "stac_version": "1.0.0", "description": "HCFCs, with one or more hydrogen-carbon bonds are slated to replace CFCs in most of the current applications. HCFCs are more unstable and subject to hydroxyl radical and ozone attack early in their gas phase career in the atmosphere. Therefore, their atmospheric lifetime is projected to be shorter and their chance of reaching the stratosphere decreased.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f6b97280-74d0-4233-bd17-f9f3d9dd21c2?gtm_keyword=HYDROCHLOROFLUOROCARBONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydrochlorofluorocarbons" }hydrofluorocarbons/000077500000000000000000000000001517436701200347455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026041517436701200372540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrofluorocarbons{ "type": "Catalog", "id": "hydrofluorocarbons", "stac_version": "1.0.0", "description": "The HFCs are a class of replacements for CFCs. Because they do not contain chlorine or bromine, they do not deplete the ozone layer. All HFCs have an ozone depletion potential of 0. Some HFCs have high GWPs (Global Warming Potentials). HFCs are numbered according to a standard scheme. The National Oceanic and Atmospheric Administration (NOAA) provides more detailed information about HFCs on their website: http://www.cmdl.noaa.gov/noah/flask/hfc.html", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ed5106fd-a73f-4203-87a3-9c9e7e85dcfc?gtm_keyword=HYDROFLUOROCARBONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydrofluorocarbons" }hydrogen-chloride/000077500000000000000000000000001517436701200344275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030021517436701200367270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrogen-chloride{ "type": "Catalog", "id": "hydrogen-chloride", "stac_version": "1.0.0", "description": "A toxic, colorless, strongly acidic gas (HCl) that dissolves readily in water to form hydrochloric acid. In the troposphere, hydrochloric acid can be produced from the reaction of nitric acid or sulfuric acid with sea-salt particles (NaCl). It is also involved in the formation of ammonium chloride aerosol. HCl is also the most abundant form of chlorine in an inorganic compound found in the stratosphere. Produced there predominantly from the reaction of Cl atoms with methane and molecular hydrogen, it acts as a temporary, relatively unreactive reservoir species for chlorine.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/146a0a0b-1b42-41a6-b1f7-a27615b006a0?gtm_keyword=HYDROGEN%20CHLORIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydrogen Chloride" }hydrogen-cyanide/000077500000000000000000000000001517436701200342525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000057341517436701200365700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrogen-cyanide{ "type": "Catalog", "id": "hydrogen-cyanide", "stac_version": "1.0.0", "description": "Hydrogen cyanide (HCN) was discovered by the Swedish chemist Carl Wilhelm Scheele in 1782, who prepared it from the pigment Prussian blue (hence its other name of prussic acid). There are many naturally occurring substances yielding cyanide in certain seeds, such as the pit of the wild cherry. It usually occurs in combination with plant sugars. The tuberous edible plant of the spurge family called cassava (also known as manioc, mandioc, or yuca) was used by primitive peoples to produce HCN for poison darts and arrows. HCN is produced by other plants, bacteria and fungi. Emissions from CN radicals are occasionally observed from lightning disturbed air. Hydrogen cyanide is produced by biomass burning since nitrogen in plant material is mostly present as amino acids and upon combustion this nitrogen is emitted as a variety of compounds including NH3, NO, NO2, N2O, organic nitriles and nitrates. It is interesting to note that the atmospheric measurements of HCN reported by Zander et al. (1988) gave a mixing ratio for HCN in the Southern Hemisphere which was approximately 5% higher than that for the Northern Hemisphere. This may be due to biomass burning. There are many anthropogenic sources of compounds containing CN which can be released into the atmosphere. Cyanides are used in a variety of chemical processes including fumigation, case hardening of iron and steel, electroplating and in the concentration of ores. Hydrogen cyanide is used to prepare polyacrylonitrile fibres (known by the generic name of acrylic) synthetic rubber, plastics, and in gas masers to produce a wavelength of 3.34 mm. Hydrogen cyanide is a combustion product which is a human hazard during domestic and industrial fires and from tobacco smoking. Some catalytic converters in bad repair can produce large amounts of Hydrogen cyanide. Hydrogen cyanide is produced in large quantities for laboratory and commercial use by three principle methods: Treatment of sodium cyanide with sulphuric acid, catalytic oxidation of a methane-ammonia mixture, and decomposition of formamide (HCONH2).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/af157837-bdbd-4a9a-b24e-6a79adfef57f?gtm_keyword=HYDROGEN%20CYANIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydrogen Cyanide" }hydrogen-fluoride/000077500000000000000000000000001517436701200344475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021301517436701200367500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrogen-fluoride{ "type": "Catalog", "id": "hydrogen-fluoride", "stac_version": "1.0.0", "description": "Hydrogen Fluoride (HF) is an important fluorine-containing compound formed from the breakdown of chlorofluorocarbons. Also a product of volcanic eruption.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ff9f8056-84d6-4fbc-abe0-9b6e82ed3f5e?gtm_keyword=HYDROGEN%20FLUORIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydrogen Fluoride" }hydrogenous-sediments/000077500000000000000000000000001517436701200353605ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020131517436701200376610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrogenous-sediments{ "type": "Catalog", "id": "hydrogenous-sediments", "stac_version": "1.0.0", "description": "Sediments composed of material precipitated chemically from seawater.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3d352f0f-f69f-44c4-b345-aa9230fbd6ca?gtm_keyword=HYDROGENOUS%20SEDIMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Hydrogenous Sediments" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydropattern/000077500000000000000000000000001517436701200336235ustar00rootroot00000000000000catalog.json000066400000000000000000000017751517436701200360630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydropattern{ "type": "Catalog", "id": "hydropattern", "stac_version": "1.0.0", "description": "The hieracrchical (branch-like) pattern that is found within river and stream systems.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/960037c5-57b1-4cdf-84be-4542beee7d5a?gtm_keyword=HYDROPATTERN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Hydropattern" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydroperiod/000077500000000000000000000000001517436701200334305ustar00rootroot00000000000000catalog.json000066400000000000000000000020221517436701200356520ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydroperiod{ "type": "Catalog", "id": "hydroperiod", "stac_version": "1.0.0", "description": "A given amount of time in which a river/stream system is active; i.e., water is passing through the system(s).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d4e8b5c5-9203-4982-82bc-2611b517ffdb?gtm_keyword=HYDROPERIOD>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Hydroperiod" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydroperoxy/000077500000000000000000000000001517436701200334745ustar00rootroot00000000000000catalog.json000066400000000000000000000021751517436701200357270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydroperoxy{ "type": "Catalog", "id": "hydroperoxy", "stac_version": "1.0.0", "description": "Consists of oxygenated compounds that are organic derivitives of hydrogen peroxide. These compounds are formed in the oxidation of hydrocarbons in relatively clean air, where oxides of nitrogen are not abundant.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d8494f01-bcec-4232-ad78-fbd92c242e62?gtm_keyword=HYDROPEROXY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydroperoxy" }hydrostatic-pressure/000077500000000000000000000000001517436701200352245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021621517436701200375320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrostatic-pressure{ "type": "Catalog", "id": "hydrostatic-pressure", "stac_version": "1.0.0", "description": "The pressure in a fluid in hydrostatic equilibrium - that is , the downward pressure at a point due solely to the weight of fluid in a column of unit cross-sectional area.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a5aa7055-642d-4442-9b4b-76a759e15257?gtm_keyword=HYDROSTATIC%20PRESSURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydrostatic Pressure" }hydrothermal-vents/000077500000000000000000000000001517436701200346605ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021301517436701200371610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydrothermal-vents{ "type": "Catalog", "id": "hydrothermal-vents", "stac_version": "1.0.0", "description": "Pertaining to the fractures in the oceanic crust where superheated water is ejected into the ocean, providing a source of minerals, and unusual life forms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b677862b-7921-458f-a6db-0eb46469df33?gtm_keyword=HYDROTHERMAL%20VENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Hydrothermal Vents" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydroxyl/000077500000000000000000000000001517436701200327625ustar00rootroot00000000000000catalog.json000066400000000000000000000024771517436701200352220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hydroxyl{ "type": "Catalog", "id": "hydroxyl", "stac_version": "1.0.0", "description": "Hydroxyl (OH) - an atom consisting of one hydrogen atom and one oxygen atom which does not normally exist in a stable form; this radical readily reacts with methane and carbon monoxide. The source of the hydroxyl radical in the atmosphere occurs primarily through the 1) photolysis of hydrogen peroxide, heat, and light and 2) the attack on water of an excited oxygen radical (created by the photolysis of ozone). ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5b49fd6d-3759-4b61-8b04-8309f38b2f90?gtm_keyword=HYDROXYL>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hydroxyl" }hypochlorous-acid/000077500000000000000000000000001517436701200344555ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025241517436701200367650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hypochlorous-acid{ "type": "Catalog", "id": "hypochlorous-acid", "stac_version": "1.0.0", "description": "Hypochlorous acid (HOCL) is a weak, unstable acid. Hypochlorous acid is also a minor component of the gas-phase inorganic chlorine budget in the stratosphere. It is formed there largely from reaction of hydroperoxyl radicals (HO2) with chlorine monoxide (ClO) radicals, and from the hydrolysis of chlorine nitrate on stratospheric aerosols. It is subject to quite rapid photolysis in the sunlit atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/27d63fe6-9970-46fd-9b22-a58e52efc57b?gtm_keyword=HYPOCHLOROUS%20ACID>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hypochlorous Acid" }hypochlorous-monoxide/000077500000000000000000000000001517436701200353775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024551517436701200377120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/hypochlorous-monoxide{ "type": "Catalog", "id": "hypochlorous-monoxide", "stac_version": "1.0.0", "description": "Hypochlorous acid is also a minor component of the gas-phase inorganic chlorine budget in the stratosphere. It is formed there largely from reaction of hydroperoxyl radicals (HO2) with chlorine monoxide (ClO) radicals, and from the hydrolysis of chlorine nitrate on stratospheric aerosols. It is subject to quite rapid photolysis in the sunlit atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c6b2279c-804f-42bf-aa8a-0c81f9ecf6cd?gtm_keyword=HYPOCHLOROUS%20MONOXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Hypochlorous Monoxide" }ice-deformation/000077500000000000000000000000001517436701200340665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021161517436701200363730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-deformation{ "type": "Catalog", "id": "ice-deformation", "stac_version": "1.0.0", "description": "Ice that has been squeezed together, and in places, forced upwards and downwards. Some subdivisions of deformed ice are rafted ice, ridged ice, and hummocked ice.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/1009557b-0d4b-4c13-81a0-fd95c15bf158?gtm_keyword=ICE%20DEFORMATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Deformation" }ice-depth-thickness/000077500000000000000000000000001517436701200346545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023661517436701200371700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-depth-thickness{ "type": "Catalog", "id": "ice-depth-thickness", "stac_version": "1.0.0", "description": "Ice depth or thickness refers to the extent of the ice below the surface of the water. The term is also used in river and lake ice studies. Remote sensing techniques (particularly radar and microwave) have been used to estimate ice thickness as have recently declassified submarine measurements of polar ice thickness.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/c7708bb6-a0fa-4905-b99d-c468da7d951a?gtm_keyword=ICE%20DEPTH/THICKNESS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Depth/Thickness" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-edges/000077500000000000000000000000001517436701200327255ustar00rootroot00000000000000catalog.json000066400000000000000000000020671517436701200351600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-edges{ "type": "Catalog", "id": "ice-edges", "stac_version": "1.0.0", "description": "The ice edge is the demarcation at any given time between open water and the sea (can also refer to river and lake ice) whether fast or drifting.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f4c1a555-4758-47ce-baa6-536730333833?gtm_keyword=ICE%20EDGES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Edges" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-extent/000077500000000000000000000000001517436701200331455ustar00rootroot00000000000000catalog.json000066400000000000000000000022241517436701200353730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-extent{ "type": "Catalog", "id": "ice-extent", "stac_version": "1.0.0", "description": "The minimum or maximum length of the ice or ice edge into the open water. Also refers to the extent of the ice pack into the open ocean (which varies seasonally). Pertaining to the geographical extent of ice on continental land masses.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/63b37017-9d57-4247-af4e-2df36ee3ed03?gtm_keyword=ICE%20EXTENT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Extent" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-floes/000077500000000000000000000000001517436701200327465ustar00rootroot00000000000000catalog.json000066400000000000000000000021001517436701200351650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-floes{ "type": "Catalog", "id": "ice-floes", "stac_version": "1.0.0", "description": "Floe refers to any relatively flat piece of ice 20 m or more across. Floes are subdivided according to horizontal extent: small, medium, big, vast, giant.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4733ef2c-e512-451b-8079-78ff7278e35c?gtm_keyword=ICE%20FLOES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Floes" }ice-growth-melt/000077500000000000000000000000001517436701200340305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032541517436701200363410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-growth-melt{ "type": "Catalog", "id": "ice-growth-melt", "stac_version": "1.0.0", "description": "Pertaining to the measurement of ice growth/melting rates, and annual changes in those rates. Melt of the ice can occur at various stages: puddle, thaw holes, dried ice, rotten ice, flodded ice, and frozen puddle. Developing sea ice (or growth) takes on the following stages: New Ice, Youg Ice, First-Year Ice, Old Ice. Lake Ice development goes through the following stages: New Lake Ice, Thin Lake Ice, Medium Lake Ice, Thick Lake Ice, and Very Thick Lake Ice. In Oceanography: Refers to the melting sea ice or the growth of sea ice and its impact on the salinity concentration in the ocean.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d9667e73-30db-45f9-861c-e0a5caaf2bf0?gtm_keyword=ICE%20GROWTH/MELT>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ac5ba325-b613-4f2e-ae7d-f81e478f5091?gtm_keyword=ICE%20GROWTH/MELT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Growth/Melt" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-motion/000077500000000000000000000000001517436701200331435ustar00rootroot00000000000000catalog.json000066400000000000000000000022041517436701200353670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-motion{ "type": "Catalog", "id": "ice-motion", "stac_version": "1.0.0", "description": "Defined as the horizontal displacement of ice over an area. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4b85cc37-1577-43f6-8cfa-8da2c49eaece?gtm_keyword=ICE%20MOTION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/10068260-94c0-4e58-83ac-f9c5d6bd5748?gtm_keyword=ICE%20MOTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Motion" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-roughness/000077500000000000000000000000001517436701200336535ustar00rootroot00000000000000catalog.json000066400000000000000000000022321517436701200361000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-roughness{ "type": "Catalog", "id": "ice-roughness", "stac_version": "1.0.0", "description": "The small-scale variation in the relief of the terrain surface (in this case the surface of the ice). Remote sensing instruments, such as radar and microwave sensors, have been able to detect the degree of roughness of sea, lake, and river ice.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/ce3a1edd-a2fe-4efd-8971-9dd7b97b6d79?gtm_keyword=ICE%20ROUGHNESS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Roughness" }ice-sheets-and-ice-shelves/000077500000000000000000000000001517436701200360175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021371517436701200403270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-sheets-and-ice-shelves{ "type": "Catalog", "id": "ice-sheets-and-ice-shelves", "stac_version": "1.0.0", "description": "The understanding of the timescale of ice sheet response to climate change has changed dramatically over the last decade. Rapid changes in ice-sheet mass have surely contributed to abrupt changes in climate and sea level in the past.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/ice-sheets-ice-shelves", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Sheets and Ice Shelves" }ice-temperature/000077500000000000000000000000001517436701200341145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021131517436701200364160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-temperature{ "type": "Catalog", "id": "ice-temperature", "stac_version": "1.0.0", "description": "Measurements of the temperature of the sea ice and surrounding sea surface temperature. These measurements are usually obtained from remote sensing satellites.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/f6e7aa9a-ae65-480e-84fa-b3a5d523e822?gtm_keyword=ICE%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Temperature" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-types/000077500000000000000000000000001517436701200330025ustar00rootroot00000000000000catalog.json000066400000000000000000000020611517436701200352270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-types{ "type": "Catalog", "id": "ice-types", "stac_version": "1.0.0", "description": "Ice Types is a general term applied to sea, river, and lake ice to describe attributes such as age, stage of development or growth, or surface feature.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/6bfd4d52-fad4-470f-9da0-fa7df2a5b4aa?gtm_keyword=ICE%20TYPES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Types" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-velocity/000077500000000000000000000000001517436701200334745ustar00rootroot00000000000000catalog.json000066400000000000000000000023201517436701200357170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ice-velocity{ "type": "Catalog", "id": "ice-velocity", "stac_version": "1.0.0", "description": "Pertaining to the rate at which ice formations (glaciers, ice sheets, etc.) are moving. [NOAA Satellite and Information Service]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cee7ed2f-3ed1-44ad-b48b-513a68bb3244?gtm_keyword=ICE%20VELOCITY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3896f032-388f-408e-b988-bf7e100704ba?gtm_keyword=ICE%20VELOCITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Ice Velocity" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/icebergs/000077500000000000000000000000001517436701200326635ustar00rootroot00000000000000catalog.json000066400000000000000000000026661517436701200351230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/icebergs{ "type": "Catalog", "id": "icebergs", "stac_version": "1.0.0", "description": "A massive piece of ice of greatly varying shape, protruding 5 m or more above sea- level, which has broken away from a glacier and which may be afloat or aground. They may be described as tabular, domed, pinnacled, wedged, drydocked or blocky. Sizes of icebergs are classed as small, medium, large and very large. [Canadian Ice Service - Environment Canada: http://www.cis.ec.gc.ca/manice/chp1_eng.htm]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/4d95ccc8-3ef9-40df-85e7-db36cb815499?gtm_keyword=ICEBERGS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/1151dc7e-7441-4a21-95b6-1d03a1053f60?gtm_keyword=ICEBERGS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Icebergs" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/igneous-rocks/000077500000000000000000000000001517436701200336705ustar00rootroot00000000000000catalog.json000066400000000000000000000020331517436701200361140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/igneous-rocks{ "type": "Catalog", "id": "igneous-rocks", "stac_version": "1.0.0", "description": "Pertaining to the composition, texture, formation, location, extent, etc. of rocks formed through igneous processes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/e8d97ffd-2fd2-4989-88a7-9772fc9b7cd8?gtm_keyword=IGNEOUS%20ROCKS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Igneous Rocks" }importance-value/000077500000000000000000000000001517436701200342745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023161517436701200366030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/importance-value{ "type": "Catalog", "id": "importance-value", "stac_version": "1.0.0", "description": "The importance value is the sum of relative density, relative dominance, and relative frequency for a species in the community. The larger the importance value, the more dominant a species is in the particular community.[Krebs, C. 1994. Ecology. HarperCollins. New York, New York.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/536a5a5a-28bb-473a-aa95-6d2dd1e5098d?gtm_keyword=IMPORTANCE%20VALUE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Importance Value" }incoming-solar-radiation/000077500000000000000000000000001517436701200357125ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023541517436701200402230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/incoming-solar-radiation{ "type": "Catalog", "id": "incoming-solar-radiation", "stac_version": "1.0.0", "description": "In general, solar radiation received at the earth's surface. The amount of direct solar radiation incident upon a unit horizontal surface at a specific level on or above the surface of the earth. Incoming solar radiation is solar radition that has not been scattered or absorbed.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6b3be650-6625-40b5-9b40-9e7c8a9fd336?gtm_keyword=INCOMING%20SOLAR%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Incoming Solar Radiation" }index-of-biotic-integrity/000077500000000000000000000000001517436701200360155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025551517436701200403310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/index-of-biotic-integrity{ "type": "Catalog", "id": "index-of-biotic-integrity", "stac_version": "1.0.0", "description": "A scientific tool used to identify and classify water pollution problems. An Index of Biotic Integrity (IBI) associates anthropogenic influences on a water body with biological activity in the water body, and is formulated using data developed from biosurveys.[Karr, J. R. (1981), Assessment of Biotic Integrity Using Fish Communities. Fisheries, 6: 21-27. doi:10.1577/1548-8446(1981)006<0021:AOBIUF>2.0.CO;2]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4497eb1b-b64d-46ff-a18d-37d217430777?gtm_keyword=INDEX%20OF%20BIOTIC%20INTEGRITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Index Of Biotic Integrity" }indigenous-vegetation/000077500000000000000000000000001517436701200353305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023271517436701200376410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/indigenous-vegetation{ "type": "Catalog", "id": "indigenous-vegetation", "stac_version": "1.0.0", "description": "Indigenous Vegetation or native vegetation is applied to a species that occurs naturally in an area, and therefore, one that has not been introduced by humans accidentally or intentionally.[Allaby, M. 1998. A Dictionary of Ecology. Oxford University Press. Oxford, New York.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0bfb8ae4-c08a-4d69-82d2-1b1b0d4acef6?gtm_keyword=INDIGENOUS%20VEGETATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Indigenous Vegetation" }industrial-emissions/000077500000000000000000000000001517436701200352065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022421517436701200375130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/industrial-emissions{ "type": "Catalog", "id": "industrial-emissions", "stac_version": "1.0.0", "description": "Industrial emissions are air pollution from manufacturing plants and factories.[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. Belmont, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/07f7ea8e-cf94-4421-923a-539e12dbeb95?gtm_keyword=INDUSTRIAL%20EMISSIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Industrial Emissions" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/infiltration/000077500000000000000000000000001517436701200336025ustar00rootroot00000000000000catalog.json000066400000000000000000000021351517436701200360310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/infiltration{ "type": "Catalog", "id": "infiltration", "stac_version": "1.0.0", "description": "Pertaining to the process by which substances enter an aquifer.]Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/638a22af-4e97-450e-a278-b81338443230?gtm_keyword=INFILTRATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Infiltration" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/inlets/000077500000000000000000000000001517436701200323765ustar00rootroot00000000000000catalog.json000066400000000000000000000030451517436701200346260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/inlets{ "type": "Catalog", "id": "inlets", "stac_version": "1.0.0", "description": "A narrow body of water between islands or leading inland from a larger body of water, often leading to an enclosed body of water, such as a sound, bay, lagoon or marsh. In sea coasts an inlet usually refers to the actual connection between a bay and the ocean and is often called an \"entrance\" or a recession in the shore of a sea, lake or river.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f43cd776-c568-4d09-997c-0a8ad1022e06?gtm_keyword=INLETS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/356a245d-418a-4560-9eb1-d12f8f155f66?gtm_keyword=INLETS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/49db8758-1282-45a0-ad3f-0f1e9d8abc44?gtm_keyword=INLETS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Inlets" }inorganic-carbon/000077500000000000000000000000001517436701200342345ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022031517436701200365360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/inorganic-carbon{ "type": "Catalog", "id": "inorganic-carbon", "stac_version": "1.0.0", "description": "Carbon species that are not hydrocarbons or hydrocarbon derivatives. 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Variables such as dissolved inorganic matter (DIM) or particulate inorganic matter (PIM) are included as detailed variables under inorganic matter.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b9cfc6af-a424-42b9-8e89-6b332262e841?gtm_keyword=INORGANIC%20MATTER>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e848dbd1-b70a-4820-a630-98bd642ae357?gtm_keyword=INORGANIC%20MATTER>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9bdac7db-be34-4eed-91bc-28f6628ed044?gtm_keyword=INORGANIC%20MATTER>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6cf87a79-e8b0-4ff1-9039-f3ad1f1f17a7?gtm_keyword=INORGANIC%20MATTER>m_scheme=Earth%20Science; ", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Inorganic Matter" }intertidal-zone/000077500000000000000000000000001517436701200341315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017571517436701200364500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/intertidal-zone{ "type": "Catalog", "id": "intertidal-zone", "stac_version": "1.0.0", "description": "The marine zone between the highest high tide point on a shoreline and the lowest low tide point.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science?gtm_search=Intertidal%20Zone>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Intertidal Zone" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/inundation/000077500000000000000000000000001517436701200332505ustar00rootroot00000000000000catalog.json000066400000000000000000000023071517436701200355000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/inundation{ "type": "Catalog", "id": "inundation", "stac_version": "1.0.0", "description": "looding, by the rise and spread of water, of a land surface that is not normally submerged.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c6c0c5dd-c0ca-4670-bbaa-c22d39e73570?gtm_keyword=INUNDATION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9db10fb2-0ceb-412e-9936-a286c579fa9f?gtm_keyword=INUNDATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" } ] } ], "title": "Inundation" }ion-chemistry-ionization/000077500000000000000000000000001517436701200357745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026411517436701200403040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ion-chemistry-ionization{ "type": "Catalog", "id": "ion-chemistry-ionization", "stac_version": "1.0.0", "description": "The process in which a neutral atom or molecule is given a net electrical charge. The atomic process in which ions are produced by removing one or more electrons from an atom, ion, or molecule, typically be collisions with atoms or electrons (collisional ionization), or by interaction with electromagnetic radiation (photo-ionization). Reference: the Cambridge Encyclopedia od the Sun, The Cambridge University Press Cambridge, CB2, 2RU, UK, 2001.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ba75172a-6965-40cf-bf3f-6c0af2f97dad?gtm_keyword=ION%20CHEMISTRY/IONIZATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Ion Chemistry/Ionization" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ion-exchange/000077500000000000000000000000001517436701200334455ustar00rootroot00000000000000catalog.json000066400000000000000000000020611517436701200356720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ion-exchange{ "type": "Catalog", "id": "ion-exchange", "stac_version": "1.0.0", "description": "Pertaining to the chemical process by which ions move from one crystal structure or molecular substance to another across contact boundaries.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/ccbf4ef8-955b-4337-a45b-95affc360173?gtm_keyword=ION%20EXCHANGE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Ion Exchange" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ion-flux/000077500000000000000000000000001517436701200326415ustar00rootroot00000000000000catalog.json000066400000000000000000000023761517436701200350770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ion-flux{ "type": "Catalog", "id": "ion-flux", "stac_version": "1.0.0", "description": "An atom (or molecule) which has become charged as a result of gaining or losing one or more orbiting electrons. A completely ionized atom is one stripped of all its electrons. Heavy ions are those ionized particles at high energy (MeV range). Flux is the rate of flow through a reference surface, measured in particles per unit area.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d9ce8e7e-44ff-4555-a910-86b87daca0c2?gtm_keyword=ION%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Ion Flux" }ionosphere-magnetosphere-dynamics/000077500000000000000000000000001517436701200376405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032721517436701200421510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ionosphere-magnetosphere-dynamics{ "type": "Catalog", "id": "ionosphere-magnetosphere-dynamics", "stac_version": "1.0.0", "description": "Refers to dynamic processess of the Earth's ionosphere and solar magnetosphere triggered by solar events. The magnetosphere is the magnetic cavity surrounding the earth, carved out of the passing solar wind by virtue of the geomagnetic field, which prevents, or at least impedes, the direct entry of the solar wind plasma into the cavity. The ionosphere is the region of the earth's upper atmosphere containing a small percentage of free electrons and ions produced by photoionization of the constituents of the atmosphere by solar ultraviolet radiation at very short wavelengths (l.t.1000 angstroms). The ionosphere significantly influences radiowave propagation of frequencies less than about 30 MHz.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3a942e8a-d2f2-42bf-9e83-b7b3793b100e?gtm_keyword=IONOSPHERE/MAGNETOSPHERE%20DYNAMICS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Ionosphere/Magnetosphere Dynamics" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/irradiance/000077500000000000000000000000001517436701200332015ustar00rootroot00000000000000catalog.json000066400000000000000000000021641517436701200354320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/irradiance{ "type": "Catalog", "id": "irradiance", "stac_version": "1.0.0", "description": "Incoming radiant energy incident upon a particular area. In the water, this can be measured as downwelling irradiance at various wavelengths. Such measurements of downwelling irradiance are included as detailed variables.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/40aacf7a-aba0-4ba2-bf85-ea7c39c3322c?gtm_keyword=IRRADIANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Irradiance" }irrigation-water-use/000077500000000000000000000000001517436701200351025ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026701517436701200374140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/irrigation-water-use{ "type": "Catalog", "id": "irrigation-water-use", "stac_version": "1.0.0", "description": "Data on water extractions by sector and available renewable freshwater provide key information on the availability of freshwater and the amount of water stress in a country. Climate Change is projected to reduce renewable surface-water and groundwater resources significantly in most dry subtropical regions. In contrast, water resources are projected to increase at high latitudes. Climate change is also projected to reduce raw water quality, posing risks to drinking water quality, even with conventional treatment. The availability of freshwater plays a crucial role in food production and food security.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/water-use/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Irrigation Water Use" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/island-arcs/000077500000000000000000000000001517436701200333005ustar00rootroot00000000000000catalog.json000066400000000000000000000020161517436701200355250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/island-arcs{ "type": "Catalog", "id": "island-arcs", "stac_version": "1.0.0", "description": "Pertaining to the chains of volcanic islands that form above subduction zones on the overriding plate.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9bb0de49-1812-400c-a73b-d2686dd9066a?gtm_keyword=ISLAND%20ARCS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Island Arcs" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/islands/000077500000000000000000000000001517436701200325355ustar00rootroot00000000000000catalog.json000066400000000000000000000021001517436701200347540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/islands{ "type": "Catalog", "id": "islands", "stac_version": "1.0.0", "description": "Tracts of land smaller than a continent, surrounded by the water of an ocean sea, lake, or stream.[Dictionary of Geological Terms, American Geological Institute, 1984.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fa3c6df8-a1e1-41d5-9de1-49b92e1ea455?gtm_keyword=ISLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Islands" }isostatic-rebound/000077500000000000000000000000001517436701200344575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024701517436701200367670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/isostatic-rebound{ "type": "Catalog", "id": "isostatic-rebound", "stac_version": "1.0.0", "description": "Occurs when a load is imposed on or removed from the lithosphere. The surface tends to rise or sink as the lithosphere rises or sinks in the asthenosphere. Loads may consist of large lakes, oceans, (on continental shelves during eustatic sea level), ice, sediment, thrust sheets, and volcanoes. The rising or sinking of the lithosphere will continue until isostatic equilibrium is reached.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/5e7a091a-894f-423f-a431-ab52cf205311?gtm_keyword=ISOSTATIC%20REBOUND>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Isostatic Rebound" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/isotopes/000077500000000000000000000000001517436701200327455ustar00rootroot00000000000000catalog.json000066400000000000000000000026551517436701200352030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/isotopes{ "type": "Catalog", "id": "isotopes", "stac_version": "1.0.0", "description": "Pertaining to the measurement of the various isotopes (one of two or more species of the same chemical element) found in geochemically significant compounds. Isotopes are a form of an element with a certain number of neutrons, for example carbon exists in three isotopes: C12, C13, and C14. Some isotopes are naturally unstable and spontaneously decay at a fixed rate; other isotopes are stable.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/441ce068-91f2-4412-8893-c0096d8f9079?gtm_keyword=ISOTOPES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Oceans" }, { "id": "Cryosphere" }, { "id": "Land" } ] } ], "title": "Isotopes" }karst-landforms/000077500000000000000000000000001517436701200341305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021361517436701200364370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/karst-landforms{ "type": "Catalog", "id": "karst-landforms", "stac_version": "1.0.0", "description": "A Karst landform is a feature created on the Earth's surface by the drainage of water into the ground or by its discharge at springs.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/ac2d1035-1896-42c1-861b-042a917b6889?gtm_keyword=KARST%20LANDFORMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Karst Landforms" }karst-landscape/000077500000000000000000000000001517436701200340755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024351517436701200364060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/karst-landscape{ "type": "Catalog", "id": "karst-landscape", "stac_version": "1.0.0", "description": "An ecosystem within a landscape defined as Karst topography characterized by caves, sinkholes, disappraring streams and underground drainage. Karst forms when groundwater dissolves pockets of limestone, dolomite, or gypsum in rock.[From the Houghton Mifflin Student Resource Center GeologyLink.:http://college.hmco.com/geology/resources/geologylink/glossary.html]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/de702fdd-3702-4164-a396-08082b0558c0?gtm_keyword=KARST%20LANDSCAPE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Karst Landscape" }karst-processes/000077500000000000000000000000001517436701200341515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024601517436701200364600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/karst-processes{ "type": "Catalog", "id": "karst-processes", "stac_version": "1.0.0", "description": "Landscapes characterized by (or the processes characterizing) the formation and collapse of caves and sinkholes because of carbonation weathering of limestone bedrock.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9cd875b0-210b-458f-b208-1690f50820d0?gtm_keyword=KARST%20PROCESSES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/63846997-4a3f-41e1-9241-6d5053360d7a?gtm_keyword=KARST%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Karst Processes" }lacustrine-wetlands/000077500000000000000000000000001517436701200350115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023741517436701200373240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lacustrine-wetlands{ "type": "Catalog", "id": "lacustrine-wetlands", "stac_version": "1.0.0", "description": "Lacustrine Wetlands are lakes, or former lakes, that are naturally filled with shallow water at certain times and more or less drained at other times.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dd22cc67-afd5-4b9e-8072-90651a191486?gtm_keyword=LACUSTRINE%20WETLANDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/686e66f7-27bf-4b67-b034-e0fdf0e47c0c?gtm_keyword=LACUSTRINE%20WETLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Lacustrine Wetlands" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lagoons/000077500000000000000000000000001517436701200325425ustar00rootroot00000000000000catalog.json000066400000000000000000000026511517436701200347740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lagoons{ "type": "Catalog", "id": "lagoons", "stac_version": "1.0.0", "description": "A shallow body of seawater generally isolated from the ocean by a barrier island or coral reef, or enclosed within an atoll.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c733c179-c12a-47e9-8e9a-817a5212446f?gtm_keyword=LAGOONS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d9483208-ff59-4293-9867-3f4895e58c9f?gtm_keyword=LAGOONS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/081d131a-6bef-47dc-adb3-f96da9123f93?gtm_keyword=LAGOONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Lagoons" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lake-ice/000077500000000000000000000000001517436701200325525ustar00rootroot00000000000000catalog.json000066400000000000000000000024341517436701200350030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lake-ice{ "type": "Catalog", "id": "lake-ice", "stac_version": "1.0.0", "description": "Pertaining to the measurement, and analysis to ice formation on inland bodies of salt or fresh water.[Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8cb47594-3af6-4f4f-8ba1-4299a6d6887e?gtm_keyword=LAKE%20ICE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a99c2917-8f91-4ec8-ad4f-7ee6200ab35d?gtm_keyword=LAKE%20ICE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Lake Ice" }lakes-reservoirs/000077500000000000000000000000001517436701200343215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023351517436701200366310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lakes-reservoirs{ "type": "Catalog", "id": "lakes-reservoirs", "stac_version": "1.0.0", "description": "An area of land where surface water from rain, melting snow, or ice converges to a single point at a lower elevation, usually the exit of the basin, where the waters join another waterbody, such as a river, lake, reservoir, estuary, wetland, sea, or ocean.[http://water.usgs.gov/edu/watershed.html]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3d64f625-fb84-4178-ad08-4be2dd15979b?gtm_keyword=LAKES/RESERVOIRS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Lakes/Reservoirs" }land-heat-capacity/000077500000000000000000000000001517436701200344515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022061517436701200367560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/land-heat-capacity{ "type": "Catalog", "id": "land-heat-capacity", "stac_version": "1.0.0", "description": "The ratio of the heat absorbed (or released) by a system to the corresponding temperature rise (or fall).[Huschle, R.E., ed. 1959. Glossary of Meteorology, American Meteorological Society, Boston, MA.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8931329c-3f6d-4ba6-913c-27afa8d104c1?gtm_keyword=LAND%20HEAT%20CAPACITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Land Heat Capacity" }land-productivity/000077500000000000000000000000001517436701200345025ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021071517436701200370070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/land-productivity{ "type": "Catalog", "id": "land-productivity", "stac_version": "1.0.0", "description": "The rate of production, especially of food, by the utilization of solar energy by producer organisms.[Webster's Revised Unabridged Dictionary.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2e69c08b-ee0f-426c-a8d2-dc50876f76c2?gtm_keyword=LAND%20PRODUCTIVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Land Productivity" }land-resources/000077500000000000000000000000001517436701200337475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021751517436701200362610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/land-resources{ "type": "Catalog", "id": "land-resources", "stac_version": "1.0.0", "description": "Areas containing available sources of wealth, including cultural heritage resources, recreation features, range developments, or any other feature similarly designated.[British Columbia Ministry of Forests]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c77819e9-f62f-48dc-b924-e7a73b4dcda9?gtm_keyword=LAND%20RESOURCES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Land Resources" }land-subsidence/000077500000000000000000000000001517436701200340615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032571517436701200363750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/land-subsidence{ "type": "Catalog", "id": "land-subsidence", "stac_version": "1.0.0", "description": "Occurs when large amounts of ground water have been withdrawn from certain types of rocks, such as fine-grained sediments. The rock compacts because the water is partly responsible for holding the ground up. When the water is withdrawn, the rocks falls in on itself. You may not notice land subsidence too much because it can occur over large areas rather than in a small spot, like a sinkhole. That doesn't mean that subsidence is not a big event -- states like California, Texas, and Florida have suffered damage to the tune of hundreds of millions of dollars over the years.[U.S. Geological Survey]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ba064d3f-0327-49d2-9984-332de1a97146?gtm_keyword=LAND%20SUBSIDENCE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a1bf1e84-c4e7-4154-ad0a-4b9eedf45066?gtm_keyword=LAND%20SUBSIDENCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Land Subsidence" }land-surface-temperature/000077500000000000000000000000001517436701200357205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027531517436701200402340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/land-surface-temperature{ "type": "Catalog", "id": "land-surface-temperature", "stac_version": "1.0.0", "description": "Refers to how hot the \"surface\" of the Earth would feel to the touch in a particular location. From a satellite's point of view, the \"surface\" is whatever it sees when it looks through the atmosphere to the ground. It could be snow and ice, the grass on a lawn, the roof of a building, or the leaves in the canopy of a forest. Thus, land surface temperature is not the same as the air temperature that is included in the daily weather report.[NASA Earth Observatory]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d559b900-eca6-42a4-9311-0297b2ef98ab?gtm_keyword=LAND%20SURFACE%20TEMPERATURE>m_scheme=Earth%20Science; https://gcos.wmo.int/en/essential-climate-variables/land-temperature", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Land Surface Temperature" }land-use-classes/000077500000000000000000000000001517436701200341645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021131517436701200364660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/land-use-classes{ "type": "Catalog", "id": "land-use-classes", "stac_version": "1.0.0", "description": "Categories defining the land in some way, such as by slope, land cover, and type.[Remote Sensing and Image Interpretation, John Wiley & Sons, 1994.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fe2f8240-4d8e-4b1f-b869-29fee59692f7?gtm_keyword=LAND%20USE%20CLASSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Land Use Classes" }land-use-land-cover-classification/000077500000000000000000000000001517436701200375525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023071517436701200420610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/land-use-land-cover-classification{ "type": "Catalog", "id": "land-use-land-cover-classification", "stac_version": "1.0.0", "description": "Corresponds to the description of areas and the Earth's surface as it relates to areas used for residential, industrial or commercial purposes, for farming or forestry, for recreational or conservation purposes, etc.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/75c312bc-79f9-4d74-a7c0-3c67c019196c?gtm_keyword=LAND%20USE/LAND%20COVER%20CLASSIFICATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Land Use/Land Cover Classification" }landscape-patterns/000077500000000000000000000000001517436701200346115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021661517436701200371230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/landscape-patterns{ "type": "Catalog", "id": "landscape-patterns", "stac_version": "1.0.0", "description": "A natural space classification of living communities and their environmental conditions.[British Columbia Ministry of Forests: http://www.for.gov.bc.ca/PAB/PUBLCTNS/GLOSSARY/glossary.htm]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3b6fe940-7383-4bae-b436-fc487723bbcf?gtm_keyword=LANDSCAPE%20PATTERNS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Landscape Patterns" }landscape-processes/000077500000000000000000000000001517436701200347575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022261517436701200372660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/landscape-processes{ "type": "Catalog", "id": "landscape-processes", "stac_version": "1.0.0", "description": "The physical processes that shape an area of land, including landforms, living elements of flora and fauna, and human activity and the built environment.[Calder, W. Annals of the Association of American Geographers.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6c44a08d-0a08-47f5-b819-7e561445e613?gtm_keyword=LANDSCAPE%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Landscape Processes" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/landslides/000077500000000000000000000000001517436701200332225ustar00rootroot00000000000000catalog.json000066400000000000000000000026631517436701200354570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/landslides{ "type": "Catalog", "id": "landslides", "stac_version": "1.0.0", "description": "A general term for a wide variety of processes and landforms involving the downslope movement, under gravity, of masses of soil and rock material.[Dictionary of Geological Terms, American Geological Institute, 1984.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/36bdce45-37df-4475-9eed-73469a594edb?gtm_keyword=LANDSLIDES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ea4aefeb-64cd-4408-83d8-8e0a672739b9?gtm_keyword=LANDSLIDES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c09cb9dc-2916-40f0-9f2f-4bbb39d2e7c9?gtm_keyword=LANDSLIDES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Landslides" }lava-composition-texture/000077500000000000000000000000001517436701200360035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020201517436701200403020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lava-composition-texture{ "type": "Catalog", "id": "lava-composition-texture", "stac_version": "1.0.0", "description": "The composition and texture of molten rock outside of the Earth's crust.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/0eb6fc71-dfb0-4451-85f7-08ceaf37c552?gtm_keyword=LAVA%20COMPOSITION/TEXTURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Lava Composition/Texture" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/leads/000077500000000000000000000000001517436701200321705ustar00rootroot00000000000000catalog.json000066400000000000000000000030351517436701200344170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/leads{ "type": "Catalog", "id": "leads", "stac_version": "1.0.0", "description": "Any fracture or passage-way through ice which is navigable by surface vessels. Leads and other open water areas within the sea ice pack are also important in studies of the energy budget in the polar regions and in local and regional climatology.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4f0f606c-6bf8-4b8c-9431-d5696fe8a5f2?gtm_keyword=LEADS>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4f0f606c-6bf8-4b8c-9431-d5696fe8a5f2?gtm_keyword=LEADS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f523f73f-efcc-4193-b9e3-1161ed7f4881?gtm_keyword=LEADS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Oceans" }, { "id": "Atmosphere" } ] } ], "title": "Leads" }leaf-area-index-lai/000077500000000000000000000000001517436701200345065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020521517436701200370120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/leaf-area-index-lai{ "type": "Catalog", "id": "leaf-area-index-lai", "stac_version": "1.0.0", "description": "A general term for a wide variety of processes and landforms involving the downslope movement, under gravity, of masses of soil and rock material.[Dictionary of Geological Terms, American Geological Institute, 1984.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/lai/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Leaf Area Index (LAI)" }leaf-characteristics/000077500000000000000000000000001517436701200351015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021201517436701200374010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/leaf-characteristics{ "type": "Catalog", "id": "leaf-characteristics", "stac_version": "1.0.0", "description": "Pertain to the general characteristics of leaves including leaf structure, arrangement, leaf shape, and leaf margin.[Colorado State University]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bca1b724-3370-4a26-bcbc-3530ce4ddc97?gtm_keyword=LEAF%20CHARACTERISTICS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Leaf Characteristics" }length-of-freeze-free-period/000077500000000000000000000000001517436701200363615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022101517436701200406610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/length-of-freeze-free-period{ "type": "Catalog", "id": "length-of-freeze-free-period", "stac_version": "1.0.0", "description": "Calculated as the difference between mean/median dates of last Spring and first Autumn freezes.[http://www.climatesource.com/us/fact_sheets/fact_freezefree_days_us.html]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/738185b7-54d6-41a2-b31f-b8a4ee1dabe7?gtm_keyword=LENGTH%20OF%20FREEZE%20FREE%20PERIOD>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Length Of Freeze Free Period" }light-transmission/000077500000000000000000000000001517436701200346575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022151517436701200371640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/light-transmission{ "type": "Catalog", "id": "light-transmission", "stac_version": "1.0.0", "description": "Measurement of the percentage of light received at a photo cell placed at fixed distances from a light source.[Adapted from: Dictionary of Earth Science, 5th ed.. 1997. Sybil Parker, ed. in chief. McGraw-Hill.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/45351e81-fcd4-46a1-9222-315946caefc7?gtm_keyword=LIGHT%20TRANSMISSION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Light Transmission" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lightning/000077500000000000000000000000001517436701200330635ustar00rootroot00000000000000catalog.json000066400000000000000000000032461517436701200353160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lightning{ "type": "Catalog", "id": "lightning", "stac_version": "1.0.0", "description": "Lightning is one of the most dramatic weather phenomena, causing many fatalities as well as substantial loss and damage for example by forest fires, damage to electrical infrastructure and other sectors every year all over the world. On top, even more damage is caused by the storms which generate lightning. This direct link to convection makes lightning also a potentially valuable indicator to track and understand trends in storminess, particularly under climate variability and change. In addition, lightning itself impacts the global climate by producing nitrogen oxides (NOX), a strong greenhouse gas. Lightning is a transient, high-current electric discharge with pathlengths measured in kilometers.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/lightning; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f24c4f33-5b89-4e8d-8de7-296078a7f18a?gtm_keyword=LIGHTNING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Lightning" }liquid-water-equivalent/000077500000000000000000000000001517436701200356035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023071517436701200401120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/liquid-water-equivalent{ "type": "Catalog", "id": "liquid-water-equivalent", "stac_version": "1.0.0", "description": "The liquid content of solid precipitation that has accumulated on the ground (snow depth). The accumulation may consist of snow, ice formed by freezing precipitation, freezing liquid precipitation, or ice formed by the refreezing of melted snow.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/eca0080c-b001-4b6a-b978-f76415e28421?gtm_keyword=LIQUID%20WATER%20EQUIVALENT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Liquid Water Equivalent" }lithospheric-plate-motion/000077500000000000000000000000001517436701200361245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021151517436701200404300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/lithospheric-plate-motion{ "type": "Catalog", "id": "lithospheric-plate-motion", "stac_version": "1.0.0", "description": "The rate and direction of movement between two torsionally rigid thin segments of the Earth's lithosphere (lithospheric plates).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/64ccd7be-577b-4784-8072-8c456aab2185?gtm_keyword=LITHOSPHERIC%20PLATE%20MOTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Lithospheric Plate Motion" }litter-characteristics/000077500000000000000000000000001517436701200354755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022371517436701200400060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/litter-characteristics{ "type": "Catalog", "id": "litter-characteristics", "stac_version": "1.0.0", "description": "Litter characteristics refer to Global Change Master Directory detailed variable under the variable, Litter Characteristics: litter chemistry, litter decomposition, litter dry weight, litterfall, and litterfall flux.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/afc54d28-de94-4674-9528-39f00bf74d6d?gtm_keyword=LITTER%20CHARACTERISTICS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Litter Characteristics" }local-subsidence-trends/000077500000000000000000000000001517436701200355325ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020111517436701200400310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/local-subsidence-trends{ "type": "Catalog", "id": "local-subsidence-trends", "stac_version": "1.0.0", "description": "Sinking of the land due to tectonic or isostatic processes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5a090f0c-7466-47fd-b679-5dee947ab05c?gtm_keyword=LOCAL%20SUBSIDENCE%20TRENDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Local Subsidence Trends" }longshore-currents/000077500000000000000000000000001517436701200346645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020341517436701200371700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/longshore-currents{ "type": "Catalog", "id": "longshore-currents", "stac_version": "1.0.0", "description": "A current running parallel to shore in the surf zone, caused by the incomplete refraction of waves approaching the beach at an angle.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science?gtm_search=Longshore%20Currents>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Longshore Currents" }longwave-radiation/000077500000000000000000000000001517436701200346135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024121517436701200371170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/longwave-radiation{ "type": "Catalog", "id": "longwave-radiation", "stac_version": "1.0.0", "description": "Longwave Radiation (or Infrared Radiation) is electromagnetic radiation in the interval from 0.8 microns to about 1000 microns. Longwave radiation is the electromagnetic energy radiated outward by the earth (land and sea) at a rate depending on the absolute temperature of the earth.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bc891281-b24c-4310-b39b-81715d7dad08?gtm_keyword=LONGWAVE%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Atmosphere" } ] } ], "title": "Longwave Radiation" }madden-julian-oscillation/000077500000000000000000000000001517436701200360475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000033321517436701200403550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/madden-julian-oscillation{ "type": "Catalog", "id": "madden-julian-oscillation", "stac_version": "1.0.0", "description": "In 1971 Roland Madden and Paul Julian stumbled upon a 40-50 day oscillation when analyzing zonal wind anomalies in the tropical Pacific. 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Acetonitrile is relatively unreactive in the troposphere and thus reaches the stratosphere, where it participates in ionmolecule reactions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/35721fc2-a968-487f-ad85-6307a18e4af6?gtm_keyword=METHYL%20CYANIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Methyl Cyanide" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/microflora/000077500000000000000000000000001517436701200332355ustar00rootroot00000000000000catalog.json000066400000000000000000000024111517436701200354610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/microflora{ "type": "Catalog", "id": "microflora", "stac_version": "1.0.0", "description": "Microflora (or simply microbiota) refers to the smallest soil organisms, including fungi and algae.[Adapted from Allaby, Michael. 1998. A Dictionary of Plant Sciences, New York: Oxford University Press.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ed1b3fa6-173d-476c-9b35-c57335c0a473?gtm_keyword=MICROFLORA>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b3063d3a-af53-44f9-a532-4cea2880c198?gtm_keyword=MICROFLORA>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Microflora" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/microfossil/000077500000000000000000000000001517436701200334315ustar00rootroot00000000000000catalog.json000066400000000000000000000044511517436701200356630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/microfossil{ "type": "Catalog", "id": "microfossil", "stac_version": "1.0.0", "description": "Microfossils are the tiny remains of bacteria, protists, fungi, animals, and plants. Microfossils are a heterogeneous bunch of fossil remains studied as a single discipline because rock samples must be processed in certain ways to remove them and microscopes must be used to study them. Thus, microfossils, unlike other kinds of fossils, are not grouped according to their relationships to one another, but only because of their generally small size and methods of study. For example, fossils of bacteria, foraminifera, diatoms, very small invertebrate shells or skeletons, pollen, and tiny bones and teeth of large vertebrates, among others, can be called microfossils. But it is an unnatural grouping. Nevertheless, this utilitarian subdivision of paleontology, first recognized in 1883, is very significant in geology, paleontology, and biology. Microfossils have many applications to petroleum geology (Fleisher and Lane, in press, Ventress, 1991, LeRoy, 1977). The two most common uses are: biostratigraphy and paleoenvironmental analyses. Biostratigraphy is the differentiation of rock units based upon the fossils which they contain. Paleoenvironmental analysis is the interpretation of the depositional environment in which the rock unit formed, based upon the fossils found within the unit. There are many other uses of fossils besides these, including: paleoclimatology, biogeography, and thermal maturation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/37f3fdb8-a82f-4bff-bda4-cca12a683d6f?gtm_keyword=MICROFOSSIL>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Microfossil" }micronutrients-trace-elements/000077500000000000000000000000001517436701200370145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026221517436701200413230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/micronutrients-trace-elements{ "type": "Catalog", "id": "micronutrients-trace-elements", "stac_version": "1.0.0", "description": "A plant nutrient usually found in relatively small amounts(<100 mg kg-1) in plants. These are usually B, Cl, Cu, Fe, Mn, Mo, Ni, Co, and Zn. In environmental applications it is those elements exclusive of the eight abundant rock-forming elements: oxygen, aluminum, silicon, iron, calcium, sodium, potassium, and magnesium.[Glossary of Soil Science Terms, 1996, Soil Science Society of America, Madison, WI http://www.soils.org/sssagloss/]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ac061db6-21c7-46fc-b5a8-9f61c795fdd6?gtm_keyword=MICRONUTRIENTS/TRACE%20ELEMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Micronutrients/Trace Elements" }microphytoplankton-carbon/000077500000000000000000000000001517436701200362275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000016751517436701200405450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/microphytoplankton-carbon{ "type": "Catalog", "id": "microphytoplankton-carbon", "stac_version": "1.0.0", "description": "Mass concentration of microphytoplankton expressed as carbon in sea water [mg C m-3]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.sciencedirect.com/science/article/pii/S0078323412500138", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Microphytoplankton Carbon" }mid-ocean-ridges/000077500000000000000000000000001517436701200341305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020721517436701200364360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/mid-ocean-ridges{ "type": "Catalog", "id": "mid-ocean-ridges", "stac_version": "1.0.0", "description": "The long, continuous mountain chain found in all oceans; ocean crust is created by the process of sea-floor spreading at its crest.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f345294c-36e6-4c76-b484-2204cc0bc3a2?gtm_keyword=MID-OCEAN%20RIDGES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Mid-Ocean Ridges" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/mineraloids/000077500000000000000000000000001517436701200334065ustar00rootroot00000000000000catalog.json000066400000000000000000000021241517436701200356330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/mineraloids{ "type": "Catalog", "id": "mineraloids", "stac_version": "1.0.0", "description": "A naturally occurring, usually inorganic substance that is not considered to be a mineral because it is amorphous and lacks a periodically repeating arrangement of atoms, e.g. opal.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/56373f39-7c27-4a77-bb52-c4defee751f8?gtm_keyword=MINERALOIDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Mineraloids" }minor-elements/000077500000000000000000000000001517436701200337575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020011517436701200362550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/minor-elements{ "type": "Catalog", "id": "minor-elements", "stac_version": "1.0.0", "description": "Elements that constitute 1 to 0.1 wt. % of a rock as determined in a chemical analysis.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/63cf1bca-72c7-4f5e-8018-3d22befa7147?gtm_keyword=MINOR%20ELEMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Minor Elements" }molecular-hydrogen/000077500000000000000000000000001517436701200346215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000041111517436701200371230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/molecular-hydrogen{ "type": "Catalog", "id": "molecular-hydrogen", "stac_version": "1.0.0", "description": "Molecular hydrogen H2 is an attractive candidate as future energy carrier because combustion of H2 produces H2 O only. In addition to saving the CO2 emissions (if the H2 is formed from carbon-free energy sources), also the massive energy-related emissions of other compounds like carbon monoxide, nitrogen oxides and soot could be drastically reduced, leading to improvements in air quality (Schultz et al., 2003). Nevertheless, unavoidable leakage in the production, distribution, storage and consumption of H2 could drastically alter the mixing ratio of H2 in the atmosphere. Although it is not a greenhouse gas itself, H2 affects the atmospheric lifetime of the greenhouse gas methane and many other species via its reaction with the hydroxyl (OH) radical (Schultz et al.,2003). In addition, H2 is an important source for stratospheric water vapor, which provides the substrate for polar stratospheric clouds that play a key role in the formation of the stratospheric polar ozone hole. Therefore, increasing levels of H2 in the atmosphere will counteract the predicted recovery of the ozone hole (Tromp et al., 2003; Warwick et al.,2004; Feck et al., 2008).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e073c9d4-5a61-436c-8890-2695c4e825eb?gtm_keyword=MOLECULAR%20HYDROGEN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Molecular Hydrogen" }molecular-nitrogen/000077500000000000000000000000001517436701200346275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027651517436701200371460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/molecular-nitrogen{ "type": "Catalog", "id": "molecular-nitrogen", "stac_version": "1.0.0", "description": "Nitrogen (N2) is a colorless, tasteless, odorless gas which makes up 78.1% of the atmosphere. Atmospheric nitrogen is converted by nitrogen fixation and nitrification into compounds used by plants and animals. In the far upper atmosphere, N2 is broken down when large numbers of energetic secondary electrons are produced and available to react with the N2. This leads to the eventual production of NO. (Crutzen, Paul J. and T.E. Graedel, Atmospheric Change. W.H. Freeman and Company, New York, 147.) (Webster's New World Dictionary. Prentice Hall, New York, 918.)", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3c3b37d4-b934-4057-b8e4-438523ae88e3?gtm_keyword=MOLECULAR%20NITROGEN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Molecular Nitrogen" }molecular-oxygen/000077500000000000000000000000001517436701200343135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026421517436701200366240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/molecular-oxygen{ "type": "Catalog", "id": "molecular-oxygen", "stac_version": "1.0.0", "description": "Oxygen (O2) is found on Earth as a gas and constitutes about 20.8% of the air we breathe. Elemental molecular oxygen consists of two oxygen atoms bonded together. A photochemical reaction of oxygen is (ultimately) responsible for the production of ozone in the stratosphere. Oxygen concentrations found in ice core samples have been used to determine past atmospheric levels of oxygen and helped in determining past climates. [Nature; v351; 217-219; 1991.] [Nature; v365; 143-147; 1993.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/61f4f3d0-7895-4cce-94e3-d249001d5ee8?gtm_keyword=MOLECULAR%20OXYGEN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Molecular Oxygen" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/monsoons/000077500000000000000000000000001517436701200327535ustar00rootroot00000000000000catalog.json000066400000000000000000000037651517436701200352140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/monsoons{ "type": "Catalog", "id": "monsoons", "stac_version": "1.0.0", "description": "It was first applied to the winds over the Arabian Sea, which blow for six months from northeast and for six months from southwest, but it has been extended to similar winds in other parts of the world. Even in Europe the prevailing west to northwest winds of summer have been called the \"European monsoon\". The primary cause is the much greater annual variation of temperature over large land areas compared with neighboring ocean surfaces, causing an excess of pressure over the continents in winter and a deficit in summer, but other factors such as the relief features of the land have a considerable effect. The monsoons are strongest on the southern and eastern sides of Asia, the largest landmass, but monsoons also occur on the coasts of tropical regions wherever the planetary circulation is not strong enough to inhibit them. They have been described in Spain, northern Australia, Africa except the Mediterranean, Texas, and the western coasts of the United States and Chile. In India the term is popularly applied chiefly to the southwest monsoon and, by extension, to the rains which it brings.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a6212424-1146-4a79-a14c-8ce88543b08b?gtm_keyword=MONSOONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Monsoons" }montane-habitats/000077500000000000000000000000001517436701200342575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024311517436701200365640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/montane-habitats{ "type": "Catalog", "id": "montane-habitats", "stac_version": "1.0.0", "description": "The zone in mountainous regions where the influence of altitude (vertical relief) results in local climatic regimes that are sufficiently different from those in the adjacent lowlands as to cause a complex vertical climate-vegetation-soil zonation.[The Nature Conservancy Glossary of Terms Used in the US National Vegetation Classification Hierarchy, 1998]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/99e09719-f1f8-439e-be4c-759242612a84?gtm_keyword=MONTANE%20HABITATS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Montane Habitats" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/montane-lake/000077500000000000000000000000001517436701200334535ustar00rootroot00000000000000catalog.json000066400000000000000000000017571517436701200357130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/montane-lake{ "type": "Catalog", "id": "montane-lake", "stac_version": "1.0.0", "description": "Pertaining to lakes formed at high elevation.[Encyclopedia Britannica]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b23b9a47-d2aa-4e67-84d6-5fe2527d6fb6?gtm_keyword=MONTANE%20LAKE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Montane Lake" }mountain-snow-line-shift/000077500000000000000000000000001517436701200356775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021701517436701200402040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/mountain-snow-line-shift{ "type": "Catalog", "id": "mountain-snow-line-shift", "stac_version": "1.0.0", "description": "The boundary marking the lowest altitude at which a given area, such as the top of a mountain, is always covered with snow.[The American Heritage - Science Dictionary]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/56e7e412-b354-4ef4-8742-f1f5681c378a?gtm_keyword=MOUNTAIN%20SNOW%20LINE%20SHIFT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Mountain Snow Line Shift" }multivariate-enso-index/000077500000000000000000000000001517436701200355765ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031211517436701200401000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/multivariate-enso-index{ "type": "Catalog", "id": "multivariate-enso-index", "stac_version": "1.0.0", "description": "The MEI is a leading indicator for the El Ni�o/Southern Oscillation (ENSO) phenomenon and is calculated as the first unrotated Principal Component of six observed variables over the tropical Pacific Ocean. These six variables are: sea level pressure, zonal and meridional components of the surface wind, sea surface temperature, surface air temperature, and total cloudiness fraction of the sky. The MEI is computed for each of twelve sliding bimonthly seasons (Dec/Jan, Jan/Feb,..., Nov/Dec). Negative values of the MEI represent the cold ENSO phase (La Ni�a), while positive MEI values represent the warm ENSO phase (El Ni�o).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/caddaef6-1a60-490a-938e-9107885f286f?gtm_keyword=MULTIVARIATE%20ENSO%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Multivariate Enso Index" }nanophytoplankton-carbon/000077500000000000000000000000001517436701200360515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000016721517436701200403640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nanophytoplankton-carbon{ "type": "Catalog", "id": "nanophytoplankton-carbon", "stac_version": "1.0.0", "description": "Mass concentration of nanophytoplankton expressed as carbon in sea water [mg C m-3]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.sciencedirect.com/science/article/pii/S0078323412500138", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Nanophytoplankton Carbon" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/natural-gas/000077500000000000000000000000001517436701200333165ustar00rootroot00000000000000catalog.json000066400000000000000000000025711517436701200355510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/natural-gas{ "type": "Catalog", "id": "natural-gas", "stac_version": "1.0.0", "description": "Natural gas is a fossil fuel formed when layers of buried plants and animals are exposed to intense heat and pressure over thousands of years. The energy that the plants and animals originally obtained from the sun is stored in the form of carbon in natural gas. Natural gas is combusted to generate electricity, enabling this stored energy to be transformed into usable power. Natural gas is a nonrenewable resource because it cannot be replenished on a human time frame.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/72eb280a-d5d0-4c5e-b789-8f1a8cf8bdac?gtm_keyword=NATURAL%20GAS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Natural Gas" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/neotectonics/000077500000000000000000000000001517436701200335755ustar00rootroot00000000000000catalog.json000066400000000000000000000020131517436701200360170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/neotectonics{ "type": "Catalog", "id": "neotectonics", "stac_version": "1.0.0", "description": "Pertaining to the study of late Cenozoic deformation and the crustal motion that caused that deformation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/3ef98fe3-3471-414b-8b8c-e88d43c6aeaf?gtm_keyword=NEOTECTONICS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Neotectonics" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/net-radiation/000077500000000000000000000000001517436701200336365ustar00rootroot00000000000000catalog.json000066400000000000000000000022711517436701200360660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/net-radiation{ "type": "Catalog", "id": "net-radiation", "stac_version": "1.0.0", "description": "Net radiation refers to the difference between the downward and upward (total and terrestrial) radiation. The net flux of all radiations. Canalso refer to the net solar radiation which is the difference between the solar radiations directed downwards and upwards.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/50ee8910-449b-46c8-a59b-1cd76d632b44?gtm_keyword=NET%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Net Radiation" }neutral-particle-flux/000077500000000000000000000000001517436701200352505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021111517436701200375500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/neutral-particle-flux{ "type": "Catalog", "id": "neutral-particle-flux", "stac_version": "1.0.0", "description": "Neutral atoms or neurons in the solar wind observed in space and on earth at energies of around 10*7 - 10*9 ev.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8f801f54-9ca9-4ba6-be35-fd87968f24e7?gtm_keyword=NEUTRAL%20PARTICLE%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Neutral Particle Flux" }nino-1-2-index/000077500000000000000000000000001517436701200333665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022221517436701200356710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nino-1-2-index{ "type": "Catalog", "id": "nino-1-2-index", "stac_version": "1.0.0", "description": "The Ni�o1+2 SST anomaly index is an indicator of far eastern tropical Pacific El Ni�o conditions, off the coasts of Peru and Chile. It is calculated with SSTs in the box 90�W - 80�W, 10�S - 0�.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1c2e9a42-39d1-4b38-b752-3982f2a36ef4?gtm_keyword=NINO%201+2%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Nino 1+2 Index" }nino-3-4-index/000077500000000000000000000000001517436701200333725ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031611517436701200357000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nino-3-4-index{ "type": "Catalog", "id": "nino-3-4-index", "stac_version": "1.0.0", "description": "The NINO3.4 index is one of several El Ni�o/Southern Oscillation (ENSO) indicators based on sea surface temperatures. NINO3.4 is the average sea surface temperature anomaly in the region bounded by 5�N to 5�S, from 170�W to 120�W. This region has large variability on El Ni�o time scales, and is close to the region where changes in local sea-surface temperature are important for shifting the large region of rainfall typically located in the far western Pacific. An El Ni�o or La Ni�a event is identified if the 5-month running-average of the NINO3.4 index exceeds +0.4�C for El Ni�o or -0.4�C for La Ni�a for at least 6 consecutive months.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a084d58c-c4f6-40fa-a645-96d9bef021aa?gtm_keyword=NINO%203.4%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Nino 3.4 Index" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nino-3-index/000077500000000000000000000000001517436701200333105ustar00rootroot00000000000000catalog.json000066400000000000000000000026171517436701200355440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nino-3-index{ "type": "Catalog", "id": "nino-3-index", "stac_version": "1.0.0", "description": "The Ni�o 3 index is an average of the sea surface temperatures in the region 150 degrees West - 90 degrees West (longitude) and 5 degrees North to 5 degrees South (latitude). When the index is positive (red) then waters are warmer than normal and when the index is negative (blue) then waters are cooler than normal. El Ni�os occur when the water is much warmer than normal for a sustained period of time. For example, El Ni�os occured in 1982-83, 1986-87 and 1997-98", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c58dc7fb-65d5-4309-8abe-160e8e845382?gtm_keyword=NINO%203%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Nino 3 Index" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nino-4-index/000077500000000000000000000000001517436701200333115ustar00rootroot00000000000000catalog.json000066400000000000000000000021461517436701200355420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nino-4-index{ "type": "Catalog", "id": "nino-4-index", "stac_version": "1.0.0", "description": "The Ni�o4 SST anomaly index is an indicator of western tropical Pacific El Ni�o conditions. It is calculated with SSTs in the box 160�E - 150�W, 5�S - 5�N.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f59ce66b-a76d-467c-bab1-6264f9f3bb70?gtm_keyword=NINO%204%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Nino 4 Index" }nitrate-particles/000077500000000000000000000000001517436701200344535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021121517436701200367540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrate-particles{ "type": "Catalog", "id": "nitrate-particles", "stac_version": "1.0.0", "description": "Atmospheric aerosol particles derived from biogenic or anthropogenic nitrate emissions; comprised of nitrate compounds (e.g., ammonia, NOx).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/768cfa32-003d-47bd-ab3a-3e27e4ec2699?gtm_keyword=NITRATE%20PARTICLES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Nitrate Particles" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrate/000077500000000000000000000000001517436701200325465ustar00rootroot00000000000000catalog.json000066400000000000000000000020431517436701200347730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrate{ "type": "Catalog", "id": "nitrate", "stac_version": "1.0.0", "description": "A charged molecule composed of one atom of nitrogen and three atoms of oxygen, NO3-, available to plants and phytoplankton as a nutrient.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4fde380a-38c5-4d46-bc80-4f2515a43983?gtm_keyword=NITRATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Nitrate" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitric-acid/000077500000000000000000000000001517436701200332665ustar00rootroot00000000000000catalog.json000066400000000000000000000020471517436701200355170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitric-acid{ "type": "Catalog", "id": "nitric-acid", "stac_version": "1.0.0", "description": "A strong acid, nitric acid (HNO3) is a colorless or yellowish, fuming, suffocating, caustic liquid. It is highly water-soluble.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/61740c18-f010-4384-8516-1eb33d75352e?gtm_keyword=NITRIC%20ACID>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Nitric Acid" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitric-oxide/000077500000000000000000000000001517436701200334765ustar00rootroot00000000000000catalog.json000066400000000000000000000024201517436701200357220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitric-oxide{ "type": "Catalog", "id": "nitric-oxide", "stac_version": "1.0.0", "description": "Nitric oxide (NO) is a colorless gas, the most common form of nitrogen emitted into the atmosphere, either by fuel combustion or due to natural emissions. Nitric oxide is interconverted with nitrogen dioxide fairly readily in the atmosphere, resulting in catalytic cycles leading to ozone formation in the troposphere and ozone loss in the stratosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/82a60ed8-5414-4ce0-858c-c50b27b12bc8?gtm_keyword=NITRIC%20OXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Nitric Oxide" }nitrogen-compounds/000077500000000000000000000000001517436701200346535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030571517436701200371650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrogen-compounds{ "type": "Catalog", "id": "nitrogen-compounds", "stac_version": "1.0.0", "description": "Nitrogen (N) is the most abundant constituent of the atmosphere (78.09%). Nitrogen enters the atmosphere from volcanoes, and from the decay of organic matter. It is removed from the atmosphere by nitrogen-fixing bacteria. Nitrogen compounds are very reactive and play integral roles in the production and destruction of ozone in the atmosphere.[American Meteorological Society. 2000. Glossary of Meteorology, Second Edition. Boston, MA: American Meteorological Society.]Nitrogen compounds refer to the nitrogen particles that come from industrial manufacturing which cause contamination to water resources.[Princeton University]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/644e0f53-98a2-4512-a228-00f5e61fd93d?gtm_keyword=NITROGEN%20COMPOUNDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Nitrogen Compounds" }nitrogen-dioxide/000077500000000000000000000000001517436701200342715ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020561517436701200366010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrogen-dioxide{ "type": "Catalog", "id": "nitrogen-dioxide", "stac_version": "1.0.0", "description": "A reddish-brown, highly poisonous gas, with the chemical formula NO2.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f8e65155-27c1-483e-a9b8-85399897c3ae?gtm_keyword=NITROGEN%20DIOXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Nitrogen Dioxide" }nitrogen-oxides/000077500000000000000000000000001517436701200341375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025251517436701200364500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrogen-oxides{ "type": "Catalog", "id": "nitrogen-oxides", "stac_version": "1.0.0", "description": "The concentration of Nitrogen Oxides (NOx) in the atmosphere. Nitrogen Oxides - NOx (pronounced \"nox\") are produced from high temperature combustion in air. They are nitrogen oxide and nitrogen dioxide.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e82ebd1c-8241-4ca0-95a9-a6e1432519cd?gtm_keyword=NITROGEN%20OXIDES>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e5563c99-0fb6-43a9-8e20-6b47b1144394?gtm_keyword=NITROGEN%20OXIDES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Nitrogen Oxides" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrogen/000077500000000000000000000000001517436701200327255ustar00rootroot00000000000000catalog.json000066400000000000000000000030171517436701200351540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrogen{ "type": "Catalog", "id": "nitrogen", "stac_version": "1.0.0", "description": "Measure of any form of Nitrogen, a macronutrient, in the soil, such as biomass nitrogen, ammonium, nitrate, etc�", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/db5357c9-cc9d-4693-86fe-6bb88555d434?gtm_keyword=NITROGEN>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e1179e7f-59e5-465a-9879-6bda6985744e?gtm_keyword=NITROGEN>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bf03dba8-2881-44ac-abfc-ba3353f67a24?gtm_keyword=NITROGEN>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ed7c506e-b18e-4a93-ac03-4bdfe119b72f?gtm_keyword=NITROGEN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" } ] } ], "title": "Nitrogen" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrous-oxide/000077500000000000000000000000001517436701200337115ustar00rootroot00000000000000catalog.json000066400000000000000000000030441517436701200361400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nitrous-oxide{ "type": "Catalog", "id": "nitrous-oxide", "stac_version": "1.0.0", "description": "Nitrous oxide (N2O) is a by-product of biological activity of a symbiotic bacteria living in leguminous plant roots. This is a principal greenhouse gas that absorbs in the infrared wavelength region and unfortunately falls in an IR \"window\" between IR absorbing features of water and carbon dioxide (a characteristic of all the \"trace\" greenhouse gases with significant radiative forcing). It is also laughing gas used by medicine as a gentle general anesthetic. [Nature;v335;528-529;1988] [Atmospheric sulfur and nitrogen oxides;George Hidy;p13;1986;Academic press; New York]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cf08917f-4cef-456f-99b0-57dc468da877?gtm_keyword=NITROUS%20OXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Nitrous Oxide" }noctilucent-clouds/000077500000000000000000000000001517436701200346375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000063631517436701200371540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/noctilucent-clouds{ "type": "Catalog", "id": "noctilucent-clouds", "stac_version": "1.0.0", "description": "The summer polar mesopause is the coldest region of the Earth's atmosphere, reaching temperatures as low as -140�C. It is sufficiently cold for noctilucent ('night shining') clouds to form in summer, at altitudes around 83 km. Noctilucent clouds can only be seen when the sun is shining on them (at ~83 km) and not on the lower atmosphere, i.e. when the sun is between 6 and 16 degrees below the horizon. They are a summer, polar phenomena but because of the restrictive viewing conditions they are most commonly observed at latitudes between 55 and 65 degrees. Noctilucent clouds were first reported in 1885 when they were independently observed in Germany and Russia. This was two years after the volcanic explosion of Krakatoa in the Straits of Java. One hypothesis is that the initial observation of noctilucent clouds was related to an increase in the number of observers of the twilight skies attracted by the spectacular displays resulting from the globally distributed volcanic debris of Krakatoa. Alternatively, water vapour injected into the upper atmosphere by the volcano ultimately reached the cold, dry upper mesophere. Subsequent observations have proved that noctilucent clouds are not solely related to volcanic activity, and their volcanic association is now scientifically contentious. It has been alternatively claimed that the appearance of noctilucent clouds is the earliest evidence of anthropogenic climate change. Noctilucent cloud observations from north-west Europe over the last 30 years show an increasing trend in the number of nights on which the clouds are observed each summer season, superimposed on a decadal variability that appears to be solar-cycle related. Competing anthropogenic explanations for this increasing occurrence of noctilucent clouds focus on either excessive greenhouse cooling of the middle atmosphere or increased water vapour linked to increased methane release associated principally with intensive farming activities. They have been observed thousands of times in the northern hemisphere, but less than 100 observations have been reported from the southern hemisphere. It has not been resolved if this is due to inter-hemispheric differences (temperature &/or water vapour) in the atmosphere at these altitudes, or the lack of observers and poorer observing conditions in southern latitudes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/939c0a66-0340-425b-999a-44a09046ec93?gtm_keyword=NOCTILUCENT%20CLOUDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Noctilucent Clouds" }non-metallic-minerals/000077500000000000000000000000001517436701200352135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020311517436701200375140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/non-metallic-minerals{ "type": "Catalog", "id": "non-metallic-minerals", "stac_version": "1.0.0", "description": "Pertaining to the location, mining, production, or uses of non-metal bearing ore minerals.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/d64a9627-3cf8-41d3-aaf7-8c2c46fb4a13?gtm_keyword=NON-METALLIC%20MINERALS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Non-Metallic Minerals" }non-methane-hydrocarbons-volatile-organic-compounds/000077500000000000000000000000001517436701200431675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026161517436701200455010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/non-methane-hydrocarbons-volatile-organic-compounds{ "type": "Catalog", "id": "non-methane-hydrocarbons-volatile-organic-compounds", "stac_version": "1.0.0", "description": "Non-Methane Hydrocarbons (NMHCs) are hydrocarbons such as ethylene, butane, hexane, propane and, by definition, exclude the first member of that analogous series, CH4. Large quantities of NMHCs are emitted from vegetation, the vast majority as isoprene, C5H8. This emission is significant compared to that of anthropogenic NMHC. [Nature; v329; 705-707; 1987]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/06d230f1-08f8-48cc-9bbd-5f2358a84d13?gtm_keyword=NON-METHANE%20HYDROCARBONS/VOLATILE%20ORGANIC%20COMPOUNDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Non-Methane Hydrocarbons/Volatile Organic Compounds" }north-atlantic-oscillation/000077500000000000000000000000001517436701200362665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000040401517436701200405710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/north-atlantic-oscillation{ "type": "Catalog", "id": "north-atlantic-oscillation", "stac_version": "1.0.0", "description": "The North Atlantic Oscillation (NAO) index is often defined as the difference of sea-level pressure between 2 stations situated close to the \"centres of action\" over Iceland and the Azores. Stykkisholmur (Iceland) is invariably used as the northern station, whereas either; Ponta Delgada (Azores) Lisbon (Portugal) Gibraltar are used as the southern station. Strong positive phases of the NAO tend to be associated with above-normal temperatures in the eastern United States and across northern Europe and below-normal temperatures in Greenland and oftentimes across southern Europe and the Middle East. They are also associated with above-normal precipitation over northern Europe and Scandinavia and below-normal precipitation over southern and central Europe. Opposite patterns of temperature and precipitation anomalies are typically observed during strong negative phases of the NAO. During particularly prolonged periods dominated by one particular phase of the NAO, abnormal height and temperature patterns are also often seen extending well into central Russia and north-central Siberia.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c5e1c055-768e-4aa3-a0a1-3adfda8ecdca?gtm_keyword=NORTH%20ATLANTIC%20OSCILLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "North Atlantic Oscillation" }north-pacific-oscillation/000077500000000000000000000000001517436701200360655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020671517436701200403770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/north-pacific-oscillation{ "type": "Catalog", "id": "north-pacific-oscillation", "stac_version": "1.0.0", "description": "The North Pacific Index is the area-weighted sea level pressure over the region 30N-65N, 160E-140W.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2295728d-0ee0-4c6f-9bb4-261b4b22322e?gtm_keyword=NORTH%20PACIFIC%20OSCILLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "North Pacific Oscillation" }north-pacific-pattern/000077500000000000000000000000001517436701200352225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020511517436701200375250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/north-pacific-pattern{ "type": "Catalog", "id": "north-pacific-pattern", "stac_version": "1.0.0", "description": "North Pacific pattern is the area-weighted sea level pressure over the region 30N-65N, 160E-140W.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c6abcc08-7d59-4852-8c1a-82f464900333?gtm_keyword=NORTH%20PACIFIC%20PATTERN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "North Pacific Pattern" }north-tropical-atlantic-index/000077500000000000000000000000001517436701200366705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026451517436701200412040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/north-tropical-atlantic-index{ "type": "Catalog", "id": "north-tropical-atlantic-index", "stac_version": "1.0.0", "description": "The timeseries of SST anomalies averaged over 60W to 20W, 6N to 18N and 20W to 10W, 6N to 10N map. Data is obtained from the COADS dataset for 1951-1991 and NCEP afterwards. Anomalies were calculated relative to the 1951-2000 climatology, smoothed by three months running mean procedure and projected onto 20 leading EOFs. Month of data is the center of the 3 months that are smoothed. More information and the indexes forecasted values are available.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d52674c3-0c78-4f35-9675-c2a8b3869b16?gtm_keyword=NORTH%20TROPICAL%20ATLANTIC%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "North Tropical Atlantic Index" }northeast-brazil-rainfall-anomaly/000077500000000000000000000000001517436701200375355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023251517436701200420440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/northeast-brazil-rainfall-anomaly{ "type": "Catalog", "id": "northeast-brazil-rainfall-anomaly", "stac_version": "1.0.0", "description": "The northeast Brazil rainfall index is calculated from data for Fortaleza (3.7S, 38.5W) and Quixeramobim (5.3S, 39.3W) Brazil obtained from the NCAR World Monthly Surface Station Climatology. Climatological mean is for 1950-79.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b8f0571c-4c19-4025-936c-936e9ac72e21?gtm_keyword=NORTHEAST%20BRAZIL%20RAINFALL%20ANOMALY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Northeast Brazil Rainfall Anomaly" }northern-oscillation-index/000077500000000000000000000000001517436701200363035ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031061517436701200406100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/northern-oscillation-index{ "type": "Catalog", "id": "northern-oscillation-index", "stac_version": "1.0.0", "description": "The NOI (extratropical-based Northern Oscillation Index) and its analog, the SOI* (extratropical-bassed Southern Oscillation Index) are new indices of midlatitude climate fluctuations that show interesting relationships with fluctuations in marine ecosystems and populations. They reflect the variability in equatorial and extratropical teleconnections and represent a wide range of local and remote climate signals. The indices are counterparts to the traditional SOI (Southern Oscillation Index) that relate variability in the atmospheric forcing of climate change in northern and southern midlatitude hemisphere regions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/77b2422e-ce52-465f-8841-5d04ebe536dc?gtm_keyword=NORTHERN%20OSCILLATION%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Northern Oscillation Index" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nutrients/000077500000000000000000000000001517436701200331335ustar00rootroot00000000000000catalog.json000066400000000000000000000027571517436701200353740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/nutrients{ "type": "Catalog", "id": "nutrients", "stac_version": "1.0.0", "description": "Inorganic or organic solutes necessary for the nutrition of primary producers. Elements essential for growth and survival of a given organism. Directly or indirectly, nutrients have roles in metabolism that no other nutrients fulfills.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8dd7c9f0-51d0-4037-b1d0-a2517c1770ad?gtm_keyword=NUTRIENTS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9bcb805c-718e-42c3-913d-174bdf06d4c1?gtm_keyword=NUTRIENTS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1459a39c-4781-4481-8bd9-510762865efd?gtm_keyword=NUTRIENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" } ] } ], "title": "Nutrients" }ocean-coastal-upwelling-index/000077500000000000000000000000001517436701200366435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031501517436701200411470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-coastal-upwelling-index{ "type": "Catalog", "id": "ocean-coastal-upwelling-index", "stac_version": "1.0.0", "description": "Upwelling is an important process affecting plankton production off the Pacific Northwest. The CUI is a measure of the volume of water that upwells along the coast; it identifies the amount of offshore transport of surface waters due to geostrophic wind fields. Indices are in units of cubic meters per second along each 100 meters of coastline. Positive numbers indicate offshore transport for the upwelling index product and southward transport for the along-shore product. The CUI was developed by Dr. Andrew Bakun (Bakun 1973) and is provided by the Pacific Fisheries Environmental Lab (PFEL) of NOAA National Marine Fisheries Service (NMFS).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/74ad118c-2f18-40fb-a26e-092390f52c20?gtm_keyword=OCEAN%20COASTAL%20UPWELLING%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Coastal Upwelling Index" }ocean-color-ocean-colour/000077500000000000000000000000001517436701200356065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021721517436701200401150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-color-ocean-colour{ "type": "Catalog", "id": "ocean-color-ocean-colour", "stac_version": "1.0.0", "description": "Study of visible light interactions with oceanic water, both within the water column and remotely sensed from the ocean surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/ocean-colour; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/78f5a84f-1b5b-44a9-97e7-4a1996cd2e36?gtm_keyword=OCEAN%20COLOR>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Color / Ocean Colour" }ocean-contaminants/000077500000000000000000000000001517436701200346025ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020451517436701200371100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-contaminants{ "type": "Catalog", "id": "ocean-contaminants", "stac_version": "1.0.0", "description": "Intrusion of or contact with undesirable elements from an outside source that affect the water quality of the ocean.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/f1ee3e81-09b9-48d4-81d9-5faeb90430cc?gtm_keyword=OCEAN%20CONTAMINANTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Contaminants" }ocean-crust-deformation/000077500000000000000000000000001517436701200355515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020661517436701200400620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-crust-deformation{ "type": "Catalog", "id": "ocean-crust-deformation", "stac_version": "1.0.0", "description": "Pertaining to use of gravitational anomalies to track deformation which occurs in the rocks of the ocean floor.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/aa6c2fe7-3261-4fd8-bed4-81403bc49086?gtm_keyword=OCEAN%20CRUST%20DEFORMATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Ocean Crust Deformation" }ocean-currents/000077500000000000000000000000001517436701200337515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017551517436701200362660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-currents{ "type": "Catalog", "id": "ocean-currents", "stac_version": "1.0.0", "description": "Horizontal flow of water in an established, defined pattern.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/510c5f78-e19e-4ce4-b59a-8937aeb84631?gtm_keyword=OCEAN%20CURRENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Currents" }ocean-heat-budget/000077500000000000000000000000001517436701200342755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021131517436701200365770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-heat-budget{ "type": "Catalog", "id": "ocean-heat-budget", "stac_version": "1.0.0", "description": "Study of the heat energy gains and losses of the oceans, on global or regional scales. Variables include the terms in the heat budget equation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/63bc0693-52eb-4ebd-a39e-e77e96409072?gtm_keyword=OCEAN%20HEAT%20BUDGET>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Heat Budget" }ocean-mixed-layer/000077500000000000000000000000001517436701200343245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025201517436701200366300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-mixed-layer{ "type": "Catalog", "id": "ocean-mixed-layer", "stac_version": "1.0.0", "description": "Also called the surface zone. 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Depending on local conditions, the surface layer may reach to 1,000 meters (3,300 feet) or be absent entirely.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/48ec6449-373c-41f6-8a61-8f1e9ed95737?gtm_keyword=OCEAN%20MIXED%20LAYER>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/64074461-95d0-4538-869a-0114e39216aa?gtm_keyword=OCEAN%20MIXED%20LAYER>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Mixed Layer" }ocean-overturning/000077500000000000000000000000001517436701200344665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021131517436701200367700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-overturning{ "type": "Catalog", "id": "ocean-overturning", "stac_version": "1.0.0", "description": "The oceans overturn, with surface waters sinking to deep in the ocean at high latitudes, drawing warm waters and heat poleward from low latitude.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dbf8a0cf-1e9b-4bc4-95a2-819bb16af00c?gtm_keyword=OCEAN%20OVERTURNING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Overturning" }ocean-plateaus-ridges/000077500000000000000000000000001517436701200351755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024201517436701200375000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-plateaus-ridges{ "type": "Catalog", "id": "ocean-plateaus-ridges", "stac_version": "1.0.0", "description": "Geological features pertaining to the large, flat rises or ridges. A ridge is a long, narrow elevation of the sea floor, with steep sides and irregular topography. Ocean plateaus refer to an area of highland, usually consisting of relatively flat rises, and are formed when land has been uplifted and then eroded by wind or water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/73e02157-9df9-415f-93fc-cb457989ddb1?gtm_keyword=OCEAN%20PLATEAUS/RIDGES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Plateaus/Ridges" }ocean-surface-heat-flux/000077500000000000000000000000001517436701200354275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024611517436701200377370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-surface-heat-flux{ "type": "Catalog", "id": "ocean-surface-heat-flux", "stac_version": "1.0.0", "description": "Surface heat flux is exchange of heat, per unit area, crossing the surface between the ocean and the atmosphere. It consists of the turbulent and the radiative components. These fluxes are major contributors to the energy and moisture budgets, and are largely responsible for thermodynamic coupling the ocean and atmosphere at global and regional scales, and variability of these fluxes is in part related to large-scale variability in weather and climate patterns.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/ocean-heat", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Surface Heat Flux" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-tracers/000077500000000000000000000000001517436701200336265ustar00rootroot00000000000000catalog.json000066400000000000000000000017751517436701200360660ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ocean-tracers{ "type": "Catalog", "id": "ocean-tracers", "stac_version": "1.0.0", "description": "Chemical component of the ocean used to determine the movement of water masses.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/080db90f-79ff-4900-941d-9c02fe2df862?gtm_keyword=OCEAN%20TRACERS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ocean Tracers" }oceanic-nino-index/000077500000000000000000000000001517436701200344705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025431517436701200370010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oceanic-nino-index{ "type": "Catalog", "id": "oceanic-nino-index", "stac_version": "1.0.0", "description": "Beginning in December 2008, the Oceanic Nino Index (ONI) is calculated using Version 3b of the extended reconstructed sea surface temperature (ERSST) dataset. More information on this new dataset is provided here (see refefrence link). This new monthly analysis replaces ERSST Version 3, which will no longer be updated. In the meantime, we are temporarily providing web links to the ONI based on ERSST.v3b and ERSST.v3.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/70ed535b-a591-411d-80ca-9eafe10b3be8?gtm_keyword=OCEANIC%20NINO%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Oceanic Nino Index" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oil-spills/000077500000000000000000000000001517436701200331675ustar00rootroot00000000000000catalog.json000066400000000000000000000025071517436701200354210ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oil-spills{ "type": "Catalog", "id": "oil-spills", "stac_version": "1.0.0", "description": "An oil spill is defined not only as oil which comes from wrecked tankers that spill out oil, but also to oil which comes from well blowouts, breaks in pipelines or oil that enters the oceans from the transfer of oil from offshore platforms to shore during normal operations.[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. Belmont, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/82c3689a-6bbf-496f-b118-b6ab46a9d2c7?gtm_keyword=OIL%20SPILLS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Oil Spills" }omega-ar-aragonite-saturation-state/000077500000000000000000000000001517436701200377655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030551517436701200422750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/omega-ar-aragonite-saturation-state{ "type": "Catalog", "id": "omega-ar-aragonite-saturation-state", "stac_version": "1.0.0", "description": "A measure of the thermodynamic tendency for the mineral calcium carbonate to form or to dissolve. The symbol omega is often used as shorthand for calcium carbonate saturation state. By convention, omega is usually expressed with respect to aragonite, one of the two most abundant forms of calcium carbonate in the ocean. An aragonite saturation state (omega-ar) greater than 1.0 indicates supersaturation, while values less than 1.0 indicate undersaturation with instability favoring dissolution. Recent research shows that calcifying organisms require omega-ar well in excess of 1.0 to optimally produce shells or skeletons. Levels below 1.0 are considered corrosive, and skeletons and shells may be subject to dissolution.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.necan.org/lexicon/5", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Omega_ar: Aragonite saturation state" }omega-ca-calcite-saturation-state/000077500000000000000000000000001517436701200374015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000016661517436701200417170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/omega-ca-calcite-saturation-state{ "type": "Catalog", "id": "omega-ca-calcite-saturation-state", "stac_version": "1.0.0", "description": "A measure of the thermodynamic tendency for the mineral calcium carbonate to form or to dissolve.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "http://www.necan.org/lexicon/5", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Omega_ca: Calcite saturation state" }optical-depth-thickness/000077500000000000000000000000001517436701200355475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022351517436701200400560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/optical-depth-thickness{ "type": "Catalog", "id": "optical-depth-thickness", "stac_version": "1.0.0", "description": "In radiative transfer, optical thickness or optical depth is the mass of a given absorbing or emitting material in a vertical column of unit cross-sectional area and extending between two specified levels.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/13723b5d-1945-4e62-8672-4535ffdddb87?gtm_keyword=OPTICAL%20DEPTH/THICKNESS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Optical Depth/Thickness" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/optical-depth/000077500000000000000000000000001517436701200336355ustar00rootroot00000000000000catalog.json000066400000000000000000000020241517436701200360610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/optical-depth{ "type": "Catalog", "id": "optical-depth", "stac_version": "1.0.0", "description": "The degree to which the ocean absorbs light, assuming vertical separation between light source and light receiver.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/001f18d3-7e61-430b-9883-1960c6256fe5?gtm_keyword=OPTICAL%20DEPTH>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Optical Depth" }organic-carbon/000077500000000000000000000000001517436701200337055ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021351517436701200362130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/organic-carbon{ "type": "Catalog", "id": "organic-carbon", "stac_version": "1.0.0", "description": "Carbon species that are hydrocarbons or hydrocarbon derivatives. Variables such as particulate organic carbon (POC) are included as detailed variables under organic carbon.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d3055f47-258e-4556-a885-54cd1fff4680?gtm_keyword=ORGANIC%20CARBON>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Organic Carbon" }organic-matter/000077500000000000000000000000001517436701200337355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023251517436701200362440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/organic-matter{ "type": "Catalog", "id": "organic-matter", "stac_version": "1.0.0", "description": "Dissolved or particulate substances that are hydrocarbons or hydrocarbon derivatives. Variables such as dissolved organic matter (DOM) or particulate organic matter (POM) are included as detailed variables under organic matter.[Adapted from: Webster's College Dictionary. 1991. Random House.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b2bdeb71-81b5-43e6-a8b1-b09c215c8d1a?gtm_keyword=ORGANIC%20MATTER>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Organic Matter" }organic-particles/000077500000000000000000000000001517436701200344275ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022711517436701200367360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/organic-particles{ "type": "Catalog", "id": "organic-particles", "stac_version": "1.0.0", "description": "Aerosol particles consisting predominantly of organic compounds, mainly C, H, O, and lesser amounts of other elements: may be biogenic or anthropogenic; primary or secondary; some organic compounds in aerosols may exhibit substantial light absorption.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8929113a-ded5-4c39-b20f-7968ed114317?gtm_keyword=ORGANIC%20PARTICLES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Organic Particles" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oscillations/000077500000000000000000000000001517436701200336035ustar00rootroot00000000000000catalog.json000066400000000000000000000020101517436701200360220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oscillations{ "type": "Catalog", "id": "oscillations", "stac_version": "1.0.0", "description": "The process of regularly varying pressure above and below a mean value, a periodic process.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c0656cbc-5d94-4945-bbfd-1c8eabb059b2?gtm_keyword=OSCILLATIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Oscillations" }outgoing-longwave-radiation/000077500000000000000000000000001517436701200364445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026111517436701200407510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/outgoing-longwave-radiation{ "type": "Catalog", "id": "outgoing-longwave-radiation", "stac_version": "1.0.0", "description": "The outgoing longwave radiation (OLR) refers specifically to the radiation emitted by the Earth and its atmosphere (the terrestrial radiation). Satellite measurements of the OLR from terrestrial surfaces and clouds show that OLR is low over cold land and high clouds and high over hot land surfaces. Climate variations, such as El Nino Southern Oscillation (ENSO) can be measured from OLR anomalies from longer-term variations.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/006b1ea6-222d-4740-b220-03886d49cd81?gtm_keyword=OUTGOING%20LONGWAVE%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Outgoing Longwave Radiation" }oxidation-reduction/000077500000000000000000000000001517436701200350115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025161517436701200373220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oxidation-reduction{ "type": "Catalog", "id": "oxidation-reduction", "stac_version": "1.0.0", "description": "Describes all chemical reactions in which atoms have their oxidation number (oxidation state) changed. This can be either a simple redox process, such as the oxidation of carbon to yield carbon dioxide (CO2) or the reduction of carbon by hydrogen to yield methane (CH4), or a complex process such as the oxidation of sugar (C6H12O6) in the human body through a series of complex electron transfer processes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/9c2f3bee-4629-4607-9962-12fe919594a0?gtm_keyword=OXIDATION/REDUCTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Oxidation/Reduction" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oxygen/000077500000000000000000000000001517436701200324115ustar00rootroot00000000000000catalog.json000066400000000000000000000023131517436701200346360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/oxygen{ "type": "Catalog", "id": "oxygen", "stac_version": "1.0.0", "description": "A colorless, odorless, gaseous element, constituting 21 percent of the volume of the atmsophere, and essential for aerobic forms of life. Gaseous oxygen has a chemical forumla of O2. Dissolved oxygen is included as a detailed variable under Oxygen.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/oxygen; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/90aa8838-79bd-4b28-b518-8217e863c385?gtm_keyword=OXYGEN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Oxygen" }pacific-decadal-oscillation/000077500000000000000000000000001517436701200363105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000042451517436701200406220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pacific-decadal-oscillation{ "type": "Catalog", "id": "pacific-decadal-oscillation", "stac_version": "1.0.0", "description": "Fisheries scientist Steven Hare coined the term \"Pacific Decadal Oscillation\" (PDO) in 1996 while researching connections between Alaska salmon production cycles and Pacific climate. PDO has since been described as a long-lived El Nino-like pattern of Pacific climate variability because the two climate oscillations have similar spatial climate fingerprints, but very different temporal behavior. Two main characteristics distinguish PDO from El Nino/ Southern Oscillation (ENSO): first, 20th century PDO \"events\" persisted for 20-to-30 years, while typical ENSO events persisted for 6 to 18 months; second, the climatic fingerprints of the PDO are most visible in the North Pacific/North American sector, while secondary signatures exist in the tropics - the opposite is true for ENSO. Several independent studies find evidence for just two full PDO cycles in the past century: \"cool\" PDO regimes prevailed from 1890-1924 and again from 1947-1976 while \"warm\" PDO regimes dominated from 1925-1946 and from 1977 through (at least) the mid-1990's. Shoshiro Minobe; has shown that 20th century PDO fluctuations were most energetic in two general periodicities, one from 15-to-25 years, and the other from 50-to-70 years.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2de06b90-4abe-4c71-a537-978679bf8aea?gtm_keyword=PACIFIC%20DECADAL%20OSCILLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Pacific Decadal Oscillation" }pacific-north-american-pna-pattern/000077500000000000000000000000001517436701200375535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030201517436701200420530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pacific-north-american-pna-pattern{ "type": "Catalog", "id": "pacific-north-american-pna-pattern", "stac_version": "1.0.0", "description": "The PNA pattern is one of the most prominent modes of low-frequency variability in the Northern Hemisphere extratropics, appearing in all months except June and July. The PNA pattern reflects a quadripole pattern of height anomalies, with anomalies of similar sign located south of the Aleutian Islands and over the southeastern United States. Anomalies with sign opposite to the Aleutian center are located in the vicinity of Hawaii, and over the intermountain region of North America (central Canada) during the Winter and Fall (Spring).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0e53e397-7836-45ec-bc62-0d54f9f176e5?gtm_keyword=PACIFIC/NORTH%20AMERICAN%20(PNA)%20PATTERN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Pacific/North American (PNA) Pattern" }pacific-warm-pool/000077500000000000000000000000001517436701200343325ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027761517436701200366530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pacific-warm-pool{ "type": "Catalog", "id": "pacific-warm-pool", "stac_version": "1.0.0", "description": "The Indian Ocean/West Pacific Warm Pool extends almost half way around the globe, stretching along the equator south of India, through the waters off Sumatra, Java, Borneo, and New Guinea, and into the central Pacific Ocean. The waters of the Warm Pool are warmer than any other open ocean on Earth. Because these waters are hot enough to drive heat and moisture high into the atmosphere, the warm pool has a large effect on the climate of surrounding lands. In fact, the slow fluctuations of size and intensity of the warm pool may be linked with the intensity of El Ni�o.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/db1000b8-3b19-46fa-9d79-379379d654ac?gtm_keyword=PACIFIC%20WARM%20POOL>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Pacific Warm Pool" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pack-ice/000077500000000000000000000000001517436701200325545ustar00rootroot00000000000000catalog.json000066400000000000000000000024771517436701200350140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pack-ice{ "type": "Catalog", "id": "pack-ice", "stac_version": "1.0.0", "description": "Pack ice refers to high concentrations of sea ice. When concentrations are 60% or less, then the term drift ice is used. [Canadian Ice Service - Environment Canada: http://www.cis.ec.gc.ca/manice/chp1_eng.htm]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ea85ea0b-1b7d-464a-9f8c-1f80383ffc51?gtm_keyword=PACK%20ICE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5d7ea074-225b-4221-b122-e6a085cdce24?gtm_keyword=PACK%20ICE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Oceans" } ] } ], "title": "Pack Ice" }paleomagnetism/000077500000000000000000000000001517436701200340265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022211517436701200363300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/paleomagnetism{ "type": "Catalog", "id": "paleomagnetism", "stac_version": "1.0.0", "description": "Pertaining to the use of remnant magnetic signatures within the rocks of the Earth's crust to determine the state of the Earth's magnetic field at a given time into the past, or to locate a paleocontinent on the surface of the Earth.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/720969dd-e966-41aa-af94-ee41cdf60390?gtm_keyword=PALEOMAGNETISM>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Paleomagnetism" }palmer-drought-crop-moisture-index/000077500000000000000000000000001517436701200376665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000044651517436701200422040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/palmer-drought-crop-moisture-index{ "type": "Catalog", "id": "palmer-drought-crop-moisture-index", "stac_version": "1.0.0", "description": "The Palmer Index was developed by Wayne Palmer in the 1960s and uses temperature and rainfall information in a formula to determine dryness. It has become the semi-official drought index. The Palmer Index is most effective in determining long term drought�a matter of several months�and is not as good with short-term forecasts (a matter of weeks). It uses a 0 as normal, and drought is shown in terms of minus numbers; for example, minus 2 is moderate drought, minus 3 is severe drought, and minus 4 is extreme drought. The Crop Moisture Index (CMI) is also a formula that was developed by Wayne Palmer subsequent to his development of the Palmer Drought Index. The CMI responds more rapidly than the Palmer Index and can change considerably from week to week, so it is more effective in calculating short-term abnormal dryness or wetness affecting agriculture. CMI is designed to indicate normal conditions at the beginning and end of the growing season; it uses the same levels as the Palmer Drought Index. It differs from the Palmer Index in that the formula places less weight on the data from previous weeks and more weight on the recent week.[From: NOAA: http://www.drought.noaa.gov/palmer.html; See also: Palmer, W.C., 1968: Keeping track of moisture conditions, nationwide: The new crop moisture index, Weatherwise, 21, 156-161.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7e26f9e3-4c20-453d-bbc6-1970eca1ffb8?gtm_keyword=PALMER%20DROUGHT%20CROP%20MOISTURE%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Palmer Drought Crop Moisture Index" }palmer-drought-severity-index/000077500000000000000000000000001517436701200367305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032141517436701200412350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/palmer-drought-severity-index{ "type": "Catalog", "id": "palmer-drought-severity-index", "stac_version": "1.0.0", "description": "The Palmer Index or the Palmer Drought Severity Index (PDSI) is an index formulated by Palmer (1965) and compares the actual amount of precipitation received in an area during a specified period with the normal or average amount expected during that same period. The PDSI is based on a procedure of hydrologic or water balance accounting by which excesses or deficiences in moisture are determined in relation to average climatic values.[Palmer, W.C., 1965: Meteorological Drought Research Paper 45, U.S. Weather Bureau, Washington, D.C. From: American Meterological Society, 2000: The Glossary of Meteorology, 2nd edition, Boston, MA See also http://www.drought.noaa.gov/palmer.html]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a43850a1-7b00-4993-80ff-753c2b5c4015?gtm_keyword=PALMER%20DROUGHT%20SEVERITY%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Palmer Drought Severity Index" }palmer-hydrological-drought-index/000077500000000000000000000000001517436701200375365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024011517436701200420400ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/palmer-hydrological-drought-index{ "type": "Catalog", "id": "palmer-hydrological-drought-index", "stac_version": "1.0.0", "description": "An extended interval of abnormally dry weather sufficiently prolonged for the lack of water to cause a serious hydrological imbalance (i.e., crop damage, water supply shortage, etc.) in the affected area.[Glossary of Weather and Climate, American Meteorological Society, 1996.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0365f0af-7843-4ba3-af8c-82d032c14f7e?gtm_keyword=PALMER%20HYDROLOGICAL%20DROUGHT%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Palmer Hydrological Drought Index" }palmer-z-index/000077500000000000000000000000001517436701200336555ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022141517436701200361610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/palmer-z-index{ "type": "Catalog", "id": "palmer-z-index", "stac_version": "1.0.0", "description": "The Palmer Z Index shows how monthly moisture conditions depart from normal (short-term drought and wetness).[NOAA/National Climatic Data Center: [http://www.ncdc.noaa.gov/oa/climate/research/prelim/drought/palmer.html]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0565650b-dce1-4ae8-8a7a-7ce25ac198c3?gtm_keyword=PALMER%20Z%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Palmer Z Index" }palustrine-wetlands/000077500000000000000000000000001517436701200350265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023041517436701200373320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/palustrine-wetlands{ "type": "Catalog", "id": "palustrine-wetlands", "stac_version": "1.0.0", "description": "Palustrine Wetlands are areas along rivers that are at times, wet and at others, dry.[epa.gov]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6862d4d4-51fe-4fde-80eb-60d3ef08e88e?gtm_keyword=PALUSTRINE%20WETLANDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d400ab07-bde9-40cc-b70a-63eda730eab2?gtm_keyword=PALUSTRINE%20WETLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Palustrine Wetlands" }particle-composition/000077500000000000000000000000001517436701200351655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021111517436701200374650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particle-composition{ "type": "Catalog", "id": "particle-composition", "stac_version": "1.0.0", "description": "Particle composition refers to the elemental composition of solar particles, such as protons, electrons, atoms, etc.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bc02662f-d4a1-43c6-833f-836107ae6737?gtm_keyword=PARTICLE%20COMPOSITION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Particle Composition" }particle-density/000077500000000000000000000000001517436701200343015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020301517436701200366010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particle-density{ "type": "Catalog", "id": "particle-density", "stac_version": "1.0.0", "description": "The number of particles present per unit volume (typically a cubic centimeter).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fd42b8e3-b76c-4888-aeb7-e6486beb4b69?gtm_keyword=PARTICLE%20DENSITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Particle Density" }particle-distribution-functions/000077500000000000000000000000001517436701200373475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026761517436701200416670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particle-distribution-functions{ "type": "Catalog", "id": "particle-distribution-functions", "stac_version": "1.0.0", "description": "A characterization of the density of particles located at a given point in phase space (a combination of either velocity or position coordinates) at a given time. The velocity-space distribution function gives the number of particles with a particular velocity; the position-space distribution function is synonymous with the particle density in position-space. Different combinations of position and spatial coordinates are useful in different problems.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c39210ba-7659-424b-a2f0-5777a1519115?gtm_keyword=PARTICLE%20DISTRIBUTION%20FUNCTIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Particle Distribution Functions" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particle-flux/000077500000000000000000000000001517436701200336575ustar00rootroot00000000000000catalog.json000066400000000000000000000017701517436701200361120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particle-flux{ "type": "Catalog", "id": "particle-flux", "stac_version": "1.0.0", "description": "The transport of a mass of sediment particles per unit area per unit time.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/676327f4-8354-4033-8081-9cab6651ac98?gtm_keyword=PARTICLE%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Particle Flux" }particle-speed/000077500000000000000000000000001517436701200337225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023701517436701200362310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particle-speed{ "type": "Catalog", "id": "particle-speed", "stac_version": "1.0.0", "description": "The distance per unit time of particles propagating through the Earth's atmosphere or through the interplanetary magnetic fields as a result of solar events. For example, the solar wind has a 'fast' component or high speed stream with a speed of about 10*5 M/sec. and a 'slow' component of about 5x10*4 m/sec.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/68f1ff0e-2e23-4025-ba71-7f6177352311?gtm_keyword=PARTICLE%20SPEED>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Particle Speed" }particle-temperature/000077500000000000000000000000001517436701200351575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022771517436701200374740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particle-temperature{ "type": "Catalog", "id": "particle-temperature", "stac_version": "1.0.0", "description": "The measure of the heat of an object, namely of the average kinetic energy of the randomly moving particles in an object. Reference: the Cambridge Encyclopedia of the Sun, The Cambridge University Press, Cambridge, CB2, 2RU, UK, 2110.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/630c1f3f-73b9-4f80-bc47-4cbf1fa43788?gtm_keyword=PARTICLE%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Particle Temperature" }particulate-backscattering-coefficient/000077500000000000000000000000001517436701200405745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026301517436701200431020ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particulate-backscattering-coefficient{ "type": "Catalog", "id": "particulate-backscattering-coefficient", "stac_version": "1.0.0", "description": "Particulate matter (particulate backscatter coefficient at 443nm, bbp in m^-1 at 4km resolution): The backscatter coefficient bbp represents the fraction of incident light that is scattered backward from its original path by particulate material in the water. The backscattering coefficient gives a good indication of the concentration of suspended organic and inorganic particles (e.g. sediments) in the water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://data.jrc.ec.europa.eu/dataset/034ff0b2-9ebe-479c-a838-2def29380287#:~:text=Particulate%20matter%20(particulate%20backscatter%20coefficient,particulate%20material%20in%20the%20water.", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Particulate Backscattering Coefficient" }particulate-inorganic-carbon/000077500000000000000000000000001517436701200365475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023741517436701200410620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particulate-inorganic-carbon{ "type": "Catalog", "id": "particulate-inorganic-carbon", "stac_version": "1.0.0", "description": "The concentration of particulate inorganic carbon (PIC) in ocean surface waters. PIC primarily consists of particles composed of calcium carbonate (CaCO3), either created by phytoplankton, inorganically precipitated, or as carbonate sediments. Mass concentration of particulate inorganic carbon expressed as carbon in sea water [mg C m-3].", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://disc.gsfc.nasa.gov/information/glossary?title=Giovanni%20Parameter%20Definitions:%20Particulate%20Inorganic%20Carbon", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Particulate Inorganic Carbon" }particulate-matter/000077500000000000000000000000001517436701200346305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000041641517436701200371420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particulate-matter{ "type": "Catalog", "id": "particulate-matter", "stac_version": "1.0.0", "description": "\"Particulate matter\" also known as particle pollution or PM, is a complex mixture of extremely small particles and liquid droplets. Particle pollution is made up of a number of components, including acids (such as nitrates and sulfates), organic chemicals, metals, and soil or dust particles. The size of particles is directly linked to their potential for causing health problems. EPA is concerned about particles that are 10 micrometers in diameter or smaller because those are the particles that generally pass through the throat and nose and enter the lungs. Once inhaled, these particles can affect the heart and lungs and cause serious health effects. EPA groups particle pollution into two categories: \"Inhalable coarse particles\" such as those found near roadways and dusty industries, are larger than 2.5 micrometers and smaller than 10 micrometers in diameter. \"Fine particles\" such as those found in smoke and haze, are 2.5 micrometers in diameter and smaller. These particles can be directly emitted from sources such as forest fires, or they can form when gases emitted from power plants, industries and automobiles react in the air.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/548a3f85-bf22-473b-b641-45c32d9c6a0c?gtm_keyword=PARTICULATE%20MATTER>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Cryosphere" } ] } ], "title": "Particulate Matter" }particulate-organic-carbon/000077500000000000000000000000001517436701200362205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030621517436701200405260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particulate-organic-carbon{ "type": "Catalog", "id": "particulate-organic-carbon", "stac_version": "1.0.0", "description": "Mass concentration of particulate organic carbon expressed as carbon in sea water [mg C m-3]. Particulate organic carbon (POC) is a closely related term often used interchangeably with POM. POC refers specifically to the mass of carbon in the particulate organic material, while POM refers to the total mass of the particulate organic matter. In addition to carbon, POM includes the mass of the other elements in the organic matter, such as nitrogen, oxygen and hydrogen. In this sense POC is a component of POM and there is typically about twice as much POM as POC.[4] Many statements that can be made about POM apply equally to POC, and much of what is said in this article about POM could equally have been said of POC.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://en.wikipedia.org/wiki/Particulate_organic_matter", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Particulate Organic Carbon" }particulate-organic-matter/000077500000000000000000000000001517436701200362505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021141517436701200405530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particulate-organic-matter{ "type": "Catalog", "id": "particulate-organic-matter", "stac_version": "1.0.0", "description": "Particulate organic matter (POM) is a fraction of total organic matter operationally defined as that which does not pass through a filter pore size that typically ranges in size from 0.053 millimeters (53 nano meters) to 2 millimeters.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://en.wikipedia.org/wiki/Particulate_organic_matter", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Particulate Organic Matter" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particulates/000077500000000000000000000000001517436701200336005ustar00rootroot00000000000000catalog.json000066400000000000000000000017411517436701200360310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/particulates{ "type": "Catalog", "id": "particulates", "stac_version": "1.0.0", "description": "Fine solids or liquid droplets suspended in the air.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f9fe1bc0-88c5-4c26-9b4c-a9867d027685?gtm_keyword=PARTICULATES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Particulates" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/peatlands/000077500000000000000000000000001517436701200330535ustar00rootroot00000000000000catalog.json000066400000000000000000000026541517436701200353100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/peatlands{ "type": "Catalog", "id": "peatlands", "stac_version": "1.0.0", "description": "Peatlands are areas formed by a brown mass of organic matter in which twigs, roots, and other plant parts can still be recognized. These areas formed due to lack of enough oxygen to decay vegetation completely on land. Peatlands form in fresh-water swamps, indicated by the plant fossils.[Press, F. and R. Siever. 1978. Geology. W.H. Freeman and Company. San Francisco.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f3b5489d-6723-40bf-bd55-68a0f2fc1874?gtm_keyword=PEATLANDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b70ef20c-7215-4a39-9479-dbff7c2fdca9?gtm_keyword=PEATLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Peatlands" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pelagic/000077500000000000000000000000001517436701200325045ustar00rootroot00000000000000catalog.json000066400000000000000000000021321517436701200347300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pelagic{ "type": "Catalog", "id": "pelagic", "stac_version": "1.0.0", "description": "The waters of the ocean, over the continental shelf and oceanic zones.[Adapted from Matthew Lerman, Marine Biology, 1986, The Benjamin/Cummings Publishing Company, Inc., Menlo Park, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3d7ecc4f-e79e-40d1-8796-63059888bf5f?gtm_keyword=PELAGIC>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Pelagic" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/percolation/000077500000000000000000000000001517436701200334175ustar00rootroot00000000000000catalog.json000066400000000000000000000021441517436701200356460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/percolation{ "type": "Catalog", "id": "percolation", "stac_version": "1.0.0", "description": "Pertaining to the movement of water through the pore space of an aquifer.[Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d64094ae-774b-4435-8f2e-a54d114e5555?gtm_keyword=PERCOLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Percolation" }periglacial-processes/000077500000000000000000000000001517436701200353015ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030201517436701200376010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/periglacial-processes{ "type": "Catalog", "id": "periglacial-processes", "stac_version": "1.0.0", "description": "Describes a geomorphic process related to freezing of water occur. In its original meaning a periglacial area was at the time in question, the area was not buried by glacial ice but was subject to intense freezing cycles and exhibits permafrost weathering and erosion characteristics. Of, or pertaining to, the outer perimeter of a glacier, particularly to the fringe areas surrounding the great continental glaciers of the geologic ice ages. Thus, periglacial weathering is said to have produced certain characteristic land forms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fa0f38f3-2faa-4cd7-a848-22f3d96ab210?gtm_keyword=PERIGLACIAL%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Cryosphere" } ] } ], "title": "Periglacial Processes" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/permafrost/000077500000000000000000000000001517436701200332625ustar00rootroot00000000000000catalog.json000066400000000000000000000036011517436701200355100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/permafrost{ "type": "Catalog", "id": "permafrost", "stac_version": "1.0.0", "description": "1. (Also called perennially frozen ground, pergelisol, permanently frozen ground.) A layer of soil or bedrock at a variable depth beneath the surface of the earth in which the temperature has been below freezing continuously from a few to several thousands of years. Permafrost exists where the summer heating fails to descend to the base of the layer of frozen ground. A continuous stratum of permafrost is found where the annual mean temperature is below about 5C (23F). 2. As limited in application by P. F. Svetsov, soil that is known to have been frozen for at least a century. Muller, S. W., 1947: Permafrost, or Permanently Frozen Ground, and Related Engineering Problems, Hare, F. K., 1951: Compendium of Meteorology, p. 958, and map, p. 956. 3. A layer of soil or bedrock at a variable depth beneath the surface of the earth in which the temperature has been below freezing continuously from a few to several thousands of years. 4. ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c82f3480-545f-4491-83f1-0477369ddcd8?gtm_keyword=PERMAFROST>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Land" } ] } ], "title": "Permafrost" }petroleum-hydrocarbons/000077500000000000000000000000001517436701200355305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021361517436701200400370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/petroleum-hydrocarbons{ "type": "Catalog", "id": "petroleum-hydrocarbons", "stac_version": "1.0.0", "description": "Organic compounds composed entirely of carbon and hydrogen atoms.[Libes, S. 1992. Introduction to Marine Biogeochemistry. John Wiley and Sons. p. 698.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/aef23021-81c1-4540-a0a5-35c590142a6d?gtm_keyword=PETROLEUM%20HYDROCARBONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Petroleum Hydrocarbons" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ph/000077500000000000000000000000001517436701200315075ustar00rootroot00000000000000catalog.json000066400000000000000000000022741517436701200337420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/ph{ "type": "Catalog", "id": "ph", "stac_version": "1.0.0", "description": "A measure of the alkaline or acid strength of a substance. pH is defined as the logarithm of the reciprocal of the hydrogen ion concentration of a solution.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4433600b-f323-458a-b295-352f939aab6b?gtm_keyword=PH>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/14625f2a-4186-4377-a0d9-88998bb6b775?gtm_keyword=pH>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Ph" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phosphate/000077500000000000000000000000001517436701200330735ustar00rootroot00000000000000catalog.json000066400000000000000000000020551517436701200353230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phosphate{ "type": "Catalog", "id": "phosphate", "stac_version": "1.0.0", "description": "A charged molecule composed of one atom of phosphorus and four atoms of oxygen, PO4(-3), available to plants and phytoplankton as a nutrient.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0b513d8c-bfd3-44ee-976e-42757b8375a2?gtm_keyword=PHOSPHATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Phosphate" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phosphorous/000077500000000000000000000000001517436701200334715ustar00rootroot00000000000000catalog.json000066400000000000000000000035321517436701200357220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phosphorous{ "type": "Catalog", "id": "phosphorous", "stac_version": "1.0.0", "description": "A chemical element with symbol P and atomic number 15. As an element, phosphorus exists in two major forms, white phosphorus and red phosphorus, but because it is highly reactive, phosphorus is never found as a free element on Earth. With a concentration of 0.099%, phosphorus is the most abundant pnictogen in the Earth's crust. Other than a few exceptions, minerals containing phosphorus are in the maximally oxidized state as inorganic phosphate rocks.[Encyclopedia Britannica]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/846d2db9-41cd-4ae8-b4ff-a34a9efb7428?gtm_keyword=PHOSPHOROUS>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9169ace5-0f04-4fc9-b38d-b89a786b9fe1?gtm_keyword=PHOSPHORUS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/47f4e7ac-b4ca-4ef9-824b-a36ea5510526?gtm_keyword=PHOSPHORUS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4962dabc-b426-4c84-8147-12e15645baff?gtm_keyword=PHOSPHORUS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Phosphorous" }photolysis-rates/000077500000000000000000000000001517436701200343525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023671517436701200366670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/photolysis-rates{ "type": "Catalog", "id": "photolysis-rates", "stac_version": "1.0.0", "description": "The destruction of a molecule by electromagnetic radiation, which provides the energy required for a constituent atom to break the chemical bonds between it and the other atoms comprising the molecule. [Environmental Science and Technology; v.28; p.1300; 1994.][Review of Scientific Instruments; v.59; p.1307; 1988.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0fd2b083-e65c-443b-9794-2c355ebac06b?gtm_keyword=PHOTOLYSIS%20RATES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Photolysis Rates" }photosynthetically-active-radiation/000077500000000000000000000000001517436701200402105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025361517436701200425230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/photosynthetically-active-radiation{ "type": "Catalog", "id": "photosynthetically-active-radiation", "stac_version": "1.0.0", "description": "Photosynthetically Active Radiation is the light in the whole wavelength band from 400 nm (deep violet) to 700 nm (dark red) used by plants in photosynthesis.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/b7410899-350a-4443-9430-c7fe1fa3a499?gtm_keyword=PHOTOSYNTHETICALLY%20ACTIVE%20RADIATION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/db69ecb1-0738-4d82-943f-ae92093f500d?gtm_keyword=PHOTOSYNTHETICALLY%20ACTIVE%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" } ] } ], "title": "Photosynthetically Active Radiation" }phytoplankton-carbon/000077500000000000000000000000001517436701200351755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000016551517436701200375110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phytoplankton-carbon{ "type": "Catalog", "id": "phytoplankton-carbon", "stac_version": "1.0.0", "description": "Mass concentration of phytoplankton expressed as carbon in sea water [mg C m-3]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://earthobservatory.nasa.gov/features/Phytoplankton/page2.php", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Phytoplankton Carbon" }phytoplankton-primary-production/000077500000000000000000000000001517436701200376005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022101517436701200421000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phytoplankton-primary-production{ "type": "Catalog", "id": "phytoplankton-primary-production", "stac_version": "1.0.0", "description": "Primary productivity may be defined as the amount of organic material produced per unit area per unit time; or simply as the product of phytoplankton biomass times phytoplankton growth rate (Cloern and others, 2014).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://wedocs.unep.org/bitstream/handle/20.500.11822/11349/rsocr_printedition.compressed_Part16.pdf?sequence=17&isAllowed=y", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Phytoplankton Primary Production" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phytoplankton/000077500000000000000000000000001517436701200340125ustar00rootroot00000000000000catalog.json000066400000000000000000000022211517436701200362350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/phytoplankton{ "type": "Catalog", "id": "phytoplankton", "stac_version": "1.0.0", "description": "Phytoplankton is the plant portion of the plankton, the plant community in marine and freshwater situations, that floats free in the water and contains many species of algae and diatoms", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/235996b1-b1a8-4c20-bb1f-711fb1a0c952?gtm_keyword=PHYTOPLANKTON>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" } ] } ], "title": "Phytoplankton" }picophytoplankton-carbon/000077500000000000000000000000001517436701200360505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030261517436701200403560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/picophytoplankton-carbon{ "type": "Catalog", "id": "picophytoplankton-carbon", "stac_version": "1.0.0", "description": "Mass concentration of picophytoplankton expressed as carbon in sea water [mg C m-3]. Marine picophytoplankton, which mainly include the autotrophic Prochlorococcus, Synechococcus, and picoeukaryotes, are autotrophic prokaryotes and eukaryotes with an equivalent spherical diameter of less than 2-3 nm. Their abundance and distributions in the ocean have been well-studied during the past two decades. Now it is well known that picophytoplankton are ubiquitous and abundant (i.e., 102 to 106 cells mL-1) in the photic zone and contribute significantly to autotrophic carbon biomass and primary production (PP) (Worden et al., 2004, 2015; Jardillier et al., 2010; Buitenhuis et al., 2012). ", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.frontiersin.org/articles/10.3389/fmicb.2017.01926/full", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Picophytoplankton Carbon" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pigments/000077500000000000000000000000001517436701200327265ustar00rootroot00000000000000catalog.json000066400000000000000000000023451517436701200351600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pigments{ "type": "Catalog", "id": "pigments", "stac_version": "1.0.0", "description": "Colored organic compounds synthesized by organisms. Names of specific pigments are included as detailed variables under Pigments.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ed925b43-db83-4cbb-8347-3dc0081bb8f4?gtm_keyword=PIGMENTS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ed925b43-db83-4cbb-8347-3dc0081bb8f4?gtm_keyword=PIGMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" } ] } ], "title": "Pigments" }planetary-boundary-layer-height/000077500000000000000000000000001517436701200372215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022751517436701200415340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/planetary-boundary-layer-height{ "type": "Catalog", "id": "planetary-boundary-layer-height", "stac_version": "1.0.0", "description": "The height of the atmospheric layer from the Earth's surface up to an altitude of about 1 kilometer in which wind speed and direction are affected by frictional interaction with objects on the Earth's surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/765e92a7-8c14-47dc-bdd8-d85d132a11ee?gtm_keyword=PLANETARY%20BOUNDARY%20LAYER%20HEIGHT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Planetary Boundary Layer Height" }planetary-rossby-waves/000077500000000000000000000000001517436701200354625ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021411517436701200377650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/planetary-rossby-waves{ "type": "Catalog", "id": "planetary-rossby-waves", "stac_version": "1.0.0", "description": "A wave on a uniform current in a two-dimensional nondivergent fluid system, rotating with varying angle speed about the local vertical (beta plane).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6f262b9b-2cb8-4745-ae41-5fff23c72a1e?gtm_keyword=PLANETARY/ROSSBY%20WAVES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Planetary/Rossby Waves" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/plankton/000077500000000000000000000000001517436701200327265ustar00rootroot00000000000000catalog.json000066400000000000000000000026441517436701200351620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/plankton{ "type": "Catalog", "id": "plankton", "stac_version": "1.0.0", "description": "Plankton are at the base of the marine food web and generally not fished by humans. Changes in the plankton will have impacts on the rest of the marine ecosystem including on the carbon cycle, living marine resources used by humans and threatened marine species including apex predators. Climate variability significantly impacts plankton in the ocean, both the microflora (phytoplankton) and the microfauna (zooplankton), over both short and long timescales.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/plankton; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ca8d77f2-9257-4298-9244-e81cd890f000?gtm_keyword=PLANKTON>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Plankton" }plate-boundaries/000077500000000000000000000000001517436701200342575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020621517436701200365640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/plate-boundaries{ "type": "Catalog", "id": "plate-boundaries", "stac_version": "1.0.0", "description": "Zones of seismic and tectonic activity along the edges of lithosphere plates, presumed to indicate relative motion between plates.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/4adc15b8-0c18-4ccd-a6ec-75be82df5359?gtm_keyword=PLATE%20BOUNDARIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Plate Boundaries" }plate-tectonics-stress/000077500000000000000000000000001517436701200354405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021661517436701200377520ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/plate-tectonics-stress{ "type": "Catalog", "id": "plate-tectonics-stress", "stac_version": "1.0.0", "description": "Pertaining to the pressure which builds-up in the Earth's crust due to external loading, such as from collision of tectonic plates, addition/removal of water, advancing or receding of glaciers, etc.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/29dbe37e-22e6-4d02-844f-60359fbbc130?gtm_keyword=STRESS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Plate Tectonics Stress" }plate-tectonics/000077500000000000000000000000001517436701200341175ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023561517436701200364320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/plate-tectonics{ "type": "Catalog", "id": "plate-tectonics", "stac_version": "1.0.0", "description": "A theory of global tectonics in which the lithosphere is divided into a number of plates whose pattern of horizontal movement is that of torsionally rigid bodies that interact with one another at their boundaries, causing seismic and tectonic activity along these boundaries.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/71e9bc66-6f8c-41ec-8b22-2fe390223639?gtm_keyword=PLATE%20TECTONICS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Oceans" } ] } ], "title": "Plate Tectonics" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polar-lows/000077500000000000000000000000001517436701200331775ustar00rootroot00000000000000catalog.json000066400000000000000000000023431517436701200354270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polar-lows{ "type": "Catalog", "id": "polar-lows", "stac_version": "1.0.0", "description": "Polar Lows are small, but fairly intense maritime cyclones that form poleward of the polar front (Rasmussen and Turner, 2003). The horizontal scale of the polar low is approximately 150 to 600 kilometers, and sustained wind at 10 meter height is near or above gale force (>13,8 m/s). On average, maximum observed wind is at 22 m/s. Polar lows are a wintertime phenomenon that occurs mainly from October until April.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://resources.eumetrain.org/satmanu/CMs/PL/print.htm", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Polar Lows" }polar-mesospheric-clouds/000077500000000000000000000000001517436701200357445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020521517436701200402500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polar-mesospheric-clouds{ "type": "Catalog", "id": "polar-mesospheric-clouds", "stac_version": "1.0.0", "description": "Are a diffuse scattering layer of water ice crystals near the summer polar mesopause.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0a7f50ce-4968-46c8-86a6-23ea13c1830c?gtm_keyword=POLAR%20MESOSPHERIC%20CLOUDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Polar Mesospheric Clouds" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polar-motion/000077500000000000000000000000001517436701200335205ustar00rootroot00000000000000catalog.json000066400000000000000000000020261517436701200357460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polar-motion{ "type": "Catalog", "id": "polar-motion", "stac_version": "1.0.0", "description": "Pertaining to the measurement, tracking, and gravitational effects of the various phases of polar motion/variation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/c44b078d-ec95-47d5-9a43-ba8475e568d2?gtm_keyword=POLAR%20MOTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Polar Motion" }polar-stratospheric-clouds-nacreous/000077500000000000000000000000001517436701200401325ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000052351517436701200424440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polar-stratospheric-clouds-nacreous{ "type": "Catalog", "id": "polar-stratospheric-clouds-nacreous", "stac_version": "1.0.0", "description": "Polar stratospheric clouds (PSCs) play a central role in the formation of the ozone hole in the Antarctic and Arctic. PSCs provide surfaces upon which heterogeneous chemical reactions take place. These reactions lead to the production of free radicals of chlorine in the stratosphere which directly destroy ozone molecules. PSCs form poleward of about 60�S latitude in the altitude range 10 km to 25 km during the winter and early spring. The clouds are classified into Types I and II according to their particle size and formation temperature. Type II clouds, also known as nacreous or mother-of-pearl clouds, are composed of ice crystals and form when temperatures are below the ice frost point (typically below -83�C). The Type I PSCs are optically much thinner than the Type II clouds, and have a formation threshold temperature 5 to 8�C above the frost point. These clouds consist mainly of hydrated droplets of nitric acid and sulphuric acid. Despite two decades of research, the climatology of PSCs is not well described, and this impacts on the accuracy of ozone depletion models. The timing and duration of PSC events, their geographic extent and vertical distributions, and their annual variability are not well understood.The Davis lidar has been used to study stratospheric clouds since 2001. The observations consist of profiles of Rayeligh laser backscatter at a wavelength of 532 nm as a function of altitude. The measurements are being used to investigate the climatology of the clouds and their relation to the temperature structure of the stratosphere, and the influence of atmospheric gravity waves and planetary waves in modulating their structure and ozone depletion.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9d3d400c-ded2-4b3c-8d0c-5a76e25be033?gtm_keyword=POLAR%20STRATOSPHERIC%20CLOUDS/NACREOUS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Polar Stratospheric Clouds/Nacreous" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pollen/000077500000000000000000000000001517436701200323715ustar00rootroot00000000000000catalog.json000066400000000000000000000022001517436701200346110ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pollen{ "type": "Catalog", "id": "pollen", "stac_version": "1.0.0", "description": "Pollen is, collectively, the mass of microspores or pollen grains produced within the anthers of a flowering plant or the male cones of a gymnosperm.[Allaby, M. 1998. A Dictionary of Ecology. Oxford University Press. Oxford, New York.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b0ad34ee-4b38-4a8d-a483-b3bfea66fa82?gtm_keyword=POLLEN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Pollen" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polynyas/000077500000000000000000000000001517436701200327565ustar00rootroot00000000000000catalog.json000066400000000000000000000030741517436701200352100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/polynyas{ "type": "Catalog", "id": "polynyas", "stac_version": "1.0.0", "description": "Any non-linear shaped opening enclosed by ice. May contain brash ice and/or be covered with new ice, nilas or young ice; sub-mariners refer to these as skylights. Polynyas are important in the study of the energy budget of the polar ocean and local and regional climatology. [Canadian Ice Service - Environment Canada: http://www.cis.ec.gc.ca/manice/chp1_eng.htm . See also Hall, D.K. and J. Martinec. 1985. Remote Sensing of Ice and Snow, Chapman and Hall. London.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/70acf223-7895-4cbe-aca6-815babb2b7ed?gtm_keyword=POLYNYAS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/10a128a6-12d4-4bce-b25d-2ffc464182f4?gtm_keyword=POLYNYAS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Oceans" } ] } ], "title": "Polynyas" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/potability/000077500000000000000000000000001517436701200332605ustar00rootroot00000000000000catalog.json000066400000000000000000000020021517436701200355000ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/potability{ "type": "Catalog", "id": "potability", "stac_version": "1.0.0", "description": "Water that is safe and palatable for human consumption.[Water Resources Glossaries from the USGS]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dac96944-5a5e-4b2a-802d-74627bb93db9?gtm_keyword=POTABILITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Potability" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/potassium/000077500000000000000000000000001517436701200331245ustar00rootroot00000000000000catalog.json000066400000000000000000000032601517436701200353530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/potassium{ "type": "Catalog", "id": "potassium", "stac_version": "1.0.0", "description": "Measure of any form of Potassium (such as K2O), a macronutrient, in the soil. A chemical element which, in nature, occurs only in ionic salts. Elemental potassium is a soft silvery-white alkali metal that oxidizes rapidly in air and reacts vigorously with water, generating sufficient heat to ignite hydrogen emitted in the reaction and burning with a lilac-colored flame. It is found dissolved in sea water and is part of many minerals.[The Journal of Experimental Biology]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c07fe67b-234e-4293-9f09-abaf9612c0e9?gtm_keyword=POTASSIUM>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8af17fd3-7c42-4698-9d60-e154ece5aebe?gtm_keyword=POTASSIUM>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/072721be-eb8b-4ac4-9354-251dbf74ade0?gtm_keyword=POTASSIUM>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Potassium" }potential-density/000077500000000000000000000000001517436701200344755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025271517436701200370100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/potential-density{ "type": "Catalog", "id": "potential-density", "stac_version": "1.0.0", "description": "Measurement of water density taking water's compressibility into account, provided no heat exchange of the water sample with its surroundings. 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That is, under high pressure, water is warmer (less potentially dense) than that same sample of water at low pressure (lower potential temperature and thus more potentially dense).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/fe4a246b-4614-422b-8ca5-0481ee417318?gtm_keyword=POTENTIAL%20DENSITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Potential Density" }potential-temperature/000077500000000000000000000000001517436701200353535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022461517436701200376640ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/potential-temperature{ "type": "Catalog", "id": "potential-temperature", "stac_version": "1.0.0", "description": "The temperature that an unsaturated parcel of dry air would have if brought adiabatically and reversibly from its initial state to a standard pressure, p0, typically 100 kPa.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7a0bd777-be0d-43c8-80eb-5ac58f4832de?gtm_keyword=POTENTIAL%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Potential Temperature" }precipitation-amount/000077500000000000000000000000001517436701200351745ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021231517436701200374770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/precipitation-amount{ "type": "Catalog", "id": "precipitation-amount", "stac_version": "1.0.0", "description": "The amount of precipitation collected and measured at a weather observing site.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cad5c02a-e771-434e-bef6-8dced38a68e8?gtm_keyword=PRECIPITATION%20AMOUNT>m_scheme=Earth%20Science; https://gcos.wmo.int/en/essential-climate-variables/precipitation", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Precipitation Amount" }precipitation-anomalies/000077500000000000000000000000001517436701200356415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021441517436701200401470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/precipitation-anomalies{ "type": "Catalog", "id": "precipitation-anomalies", "stac_version": "1.0.0", "description": "The deviation of the amount of precipitation falling in a given region over a specified period from the long-term average value for the same region.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/22a4ddef-90f0-4935-a13d-26b14723a956?gtm_keyword=PRECIPITATION%20ANOMALIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Precipitation Anomalies" }precipitation-rate/000077500000000000000000000000001517436701200346245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021001517436701200371220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/precipitation-rate{ "type": "Catalog", "id": "precipitation-rate", "stac_version": "1.0.0", "description": "The amount of precipitation that is collected over a specific time period; usually measured in inches/hour or millimeters/hour.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ac50c468-df2f-429c-8394-9d63efcc6f9d?gtm_keyword=PRECIPITATION%20RATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Precipitation Rate" }precursors-for-aerosols-and-ozone/000077500000000000000000000000001517436701200375315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025211517436701200420360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/precursors-for-aerosols-and-ozone{ "type": "Catalog", "id": "precursors-for-aerosols-and-ozone", "stac_version": "1.0.0", "description": "Precursor species lead to the production of aerosols and ozone. Precursors include nitrogen dioxide (NO2), sulphur dioxide (SO2), carbon monoxide (CO) and formaldehyde (HCHO). Aerosols and ozone in the near-surface atmosphere can directly harm human health and produce detrimental environmental impacts (e.g., crop damage, acid rain). Reductions in near-surface aerosols and ozone have been observed in specific regions where the emissions of some precursors are regulated.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/precursors", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Precursors for Aerosols and Ozone" }prescribed-burns-fires/000077500000000000000000000000001517436701200354005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022361517436701200377100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/prescribed-burns-fires{ "type": "Catalog", "id": "prescribed-burns-fires", "stac_version": "1.0.0", "description": "Fire applied in a knowledgeable manner to forest fuels on a specific land area under selected weather conditions to accomplish predetermined, well-defined management objectives.[The Dictionary of Physical Geography]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c0fb4215-4f72-445f-af81-b3f44c44cd0e?gtm_keyword=PRESCRIBED%20BURNS/FIRES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Prescribed Burns/Fires" }pressure-anomalies/000077500000000000000000000000001517436701200346375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021061517436701200371430ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pressure-anomalies{ "type": "Catalog", "id": "pressure-anomalies", "stac_version": "1.0.0", "description": "The deviation of atmospheric pressure in a given region over a specified period from the long-term average value for the same region.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/011bed30-f5b6-4b46-a7ce-797851f24f24?gtm_keyword=PRESSURE%20ANOMALIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Pressure Anomalies" 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"../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Pressure Tendency" }pressure-thickness/000077500000000000000000000000001517436701200346625ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021541517436701200371710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pressure-thickness{ "type": "Catalog", "id": "pressure-thickness", "stac_version": "1.0.0", "description": "In synoptic meteorology, the vertical depth, measured in geometric or geopotential units, of a layer in the atmosphere bounded by two different constant-pressure surfaces.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/be027470-35ab-4ebb-a213-5f557cca71c8?gtm_keyword=PRESSURE%20THICKNESS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Pressure Thickness" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/proton-flux/000077500000000000000000000000001517436701200333755ustar00rootroot00000000000000catalog.json000066400000000000000000000020271517436701200356240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/proton-flux{ "type": "Catalog", "id": "proton-flux", "stac_version": "1.0.0", "description": "The rate of flow of protons through a reference surface, measured in particles per unit area.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a2443978-118d-4f7c-843d-dcd0059fe949?gtm_keyword=PROTON%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Proton Flux" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pycnocline/000077500000000000000000000000001517436701200332435ustar00rootroot00000000000000catalog.json000066400000000000000000000020161517436701200354700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pycnocline{ "type": "Catalog", "id": "pycnocline", "stac_version": "1.0.0", "description": "The zone of the ocean in which density increases rapidly with depth. Temperature falls and salinity rises in this zone.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/2ad73f85-8bad-4e5a-a902-e83eee910b5e?gtm_keyword=PYCNOCLINE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Pycnocline" }pyroclastics-composition-texture/000077500000000000000000000000001517436701200375775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020251517436701200421030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/pyroclastics-composition-texture{ "type": "Catalog", "id": "pyroclastics-composition-texture", "stac_version": "1.0.0", "description": "The composition and texture of pyroclastic particles.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/ab215b31-c540-40c0-9362-3f25ebc148bb?gtm_keyword=PYROCLASTICS%20COMPOSITION/TEXTURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Pyroclastics Composition/Texture" }quasi-biennial-oscillation/000077500000000000000000000000001517436701200362405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026671517436701200405600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/quasi-biennial-oscillation{ "type": "Catalog", "id": "quasi-biennial-oscillation", "stac_version": "1.0.0", "description": "The quasi-biennial oscillation (QBO) is a quasi-periodic oscillation of the equatorial zonal wind between easterlies and westerlies in the tropical stratosphere with a mean period of 28 to 29 months. A stratospheric (16 to 35 km altitude) oscillation of equatorial east-west winds which vary with a period of about 26 to 30 months or roughly 2 years; typically blowing for 12-16 months from the east, then reverse and blowing 12-16 months from the west, then back to easterly again.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ea64fa04-2822-4cc5-9014-f18ce1a1ef23?gtm_keyword=QUASI-BIENNIAL%20OSCILLATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Quasi-Biennial Oscillation" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radiance/000077500000000000000000000000001517436701200326465ustar00rootroot00000000000000catalog.json000066400000000000000000000017311517436701200350760ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radiance{ "type": "Catalog", "id": "radiance", "stac_version": "1.0.0", "description": "The flux density or radiant energy per unit area of a radiating surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/68dacfbb-4f23-4325-b80f-4b09d41bd505?gtm_keyword=RADIANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Radiance" }radiative-flux/000077500000000000000000000000001517436701200337455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017671517436701200362650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radiative-flux{ "type": "Catalog", "id": "radiative-flux", "stac_version": "1.0.0", "description": "The amount of radiation incident on a given surface per unit time.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/107582ef-a356-4afa-a9a4-4e1d2200c134?gtm_keyword=RADIATIVE%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Radiative Flux" }radiative-forcing/000077500000000000000000000000001517436701200344165ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025621517436701200367300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radiative-forcing{ "type": "Catalog", "id": "radiative-forcing", "stac_version": "1.0.0", "description": "A change imposed upon the climate system which modifies the radiative balance of that system. The causes of such a change may include changes in the sun, clouds, ice, greenhouse gases, volcanic activity, and other agents. Radiative forcing is often specified as the net change in energy flux at the troposphere (watts per square meter). Radiative forcing may sometimes be referred to as external forcing or perturbations of the climate.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4fad64ce-32fe-413d-8b55-c78000d1980c?gtm_keyword=RADIATIVE%20FORCING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Radiative Forcing" }radioactive-elements/000077500000000000000000000000001517436701200351255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020661517436701200374360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radioactive-elements{ "type": "Catalog", "id": "radioactive-elements", "stac_version": "1.0.0", "description": "An element with an unstable nucleus, which radiates alpha, beta or gamma radiation and gets converted to a stable element.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/334f47c1-fd13-483f-b493-e69a9e93d553?gtm_keyword=RADIOACTIVE%20ELEMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Radioactive Elements" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radiocarbon/000077500000000000000000000000001517436701200333635ustar00rootroot00000000000000catalog.json000066400000000000000000000025561517436701200356210ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radiocarbon{ "type": "Catalog", "id": "radiocarbon", "stac_version": "1.0.0", "description": "A radioactive isotope of carbon (carbon-14) with a half-life of about 5730 years, widely used in the dating of organic materials. Radiocarbon refers to radioactive carbon especially carbon-14, but also carbon-10 and carbon-12. Carbon-14 is a heavy radioactive isotope of Carbon having a mass of 14 and a half-life of 5730 +/-40 years. Carbon-14 is useful in dating organic materials during the last 50,000 years.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6641ff15-36c8-4dbc-bf9c-176a08688173?gtm_keyword=RADIOCARBON>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" } ] } ], "title": "Radiocarbon" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radionuclides/000077500000000000000000000000001517436701200337255ustar00rootroot00000000000000catalog.json000066400000000000000000000020541517436701200361540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/radionuclides{ "type": "Catalog", "id": "radionuclides", "stac_version": "1.0.0", "description": "Nuclides which are unstable and that decay or disintegrate spontaneously, emitting radiation. A synonym for radioactive nuclide.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e9ed684e-5252-4091-a794-aaf6e5f249ed?gtm_keyword=RADIONUCLIDES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Radionuclides" }rebound-direction/000077500000000000000000000000001517436701200344355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017311517436701200367440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/rebound-direction{ "type": "Catalog", "id": "rebound-direction", "stac_version": "1.0.0", "description": "The direction at which land mass rises", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/c185f7f5-0c62-489f-b365-9424e054de58?gtm_keyword=REBOUND%20DIRECTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Rebound Direction" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/rebound-rate/000077500000000000000000000000001517436701200334675ustar00rootroot00000000000000catalog.json000066400000000000000000000017211517436701200357160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/rebound-rate{ "type": "Catalog", "id": "rebound-rate", "stac_version": "1.0.0", "description": "The speed over time at which land mass rises.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/f0b2ab0f-46eb-426b-924b-471e4d1b7598?gtm_keyword=REBOUND%20RATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Rebound Rate" }reclamation-revegetation-restoration/000077500000000000000000000000001517436701200403605ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000047471517436701200427010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/reclamation-revegetation-restoration{ "type": "Catalog", "id": "reclamation-revegetation-restoration", "stac_version": "1.0.0", "description": "Reclamation, as used here refers, to putting a natural resource to a new or altered use. Restoration is the return of an ecosystem to a close approximation of its condition prior to disturbance. Revegetation is the planting of vegetation in an area where vegetation has been removed.[National Research Council. 1992. Restoration of Aquatic Ecosystems: science, technology, and public policy. National Academy Press. Washington, D.C., 1992.]Restoration: The processes by which an area is treated in an attempt to restore original conditions. Reclamation: The process of reconverting land to other forms of productive uses. Revegetation: Reestablishment of vegetation which may take place naturally or be induced by humans through seeding or transplanting.[The Nature and Properties of Soils, Prentice Hall, 1996. Herren, R.V., and R.L. Donahue. 1991. The Agricultural Dictionary, Delmar Publishers, INC. Albany, New York. 553pp.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/86dfb9ca-6587-4a91-b397-f220bb48a1eb?gtm_keyword=RECLAMATION/REVEGETATION/RESTORATION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c22818ce-07aa-4f77-8fe2-be1925743bac?gtm_keyword=RECLAMATION/REVEGETATION/RESTORATION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4add3005-9151-4b8d-a0bc-14c3908ef3a9?gtm_keyword=RECLAMATION/REVEGETATION/RESTORATION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d57dff3d-5f2f-425c-80bb-2a6fcb42d3fa?gtm_keyword=RECLAMATION/REVEGETATION/RESTORATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" }, { "id": "Solid Earth" } ] } ], "title": "Reclamation/Revegetation/Restoration" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/reef/000077500000000000000000000000001517436701200320215ustar00rootroot00000000000000catalog.json000066400000000000000000000022311517436701200342450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/reef{ "type": "Catalog", "id": "reef", "stac_version": "1.0.0", "description": "The coral reef habitat is a unique shallow water community of organisms living on limestone rock that was built by some of the reef organisms.[Adapted from Matthew Lerman, Marine Biology, 1986, The Benjamin/Cummings Publishing Company, Inc., Menlo Park, California.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/367718c8-cc3b-4c94-a270-0a278afabb43?gtm_keyword=REEF>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Reef" }reference-fields/000077500000000000000000000000001517436701200342235ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020301517436701200365230ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/reference-fields{ "type": "Catalog", "id": "reference-fields", "stac_version": "1.0.0", "description": "Pertaining to the baseline state of the Earth's magnetic field used to base all other measurements from.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/fd631e31-fe6f-462e-a3f6-c07b4b736ac7?gtm_keyword=REFERENCE%20FIELDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Reference Fields" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/reflectance/000077500000000000000000000000001517436701200333535ustar00rootroot00000000000000catalog.json000066400000000000000000000033241517436701200356030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/reflectance{ "type": "Catalog", "id": "reflectance", "stac_version": "1.0.0", "description": "Ratio of the intensity of reflected radiation to that of the incident radiation on a surface. A general term referring to the radiation reflected from, or scattered back through, a given surface in response to radiation incident on the surface with the same wavelength or wavelength range. In Cryosphere domain: The reflectance properties of ice bodies. A smooth ice surface will act as a near-specular reflector. As surface roughness increases, the reflection becomes diffuse. It is the ratio of the intensity of reflected radiation to that of the incident radiation on a surface. The suffix (-ance) implies a property of that particular specimen surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f043c0a8-9cee-4c51-bf64-a4aaa34ab75d?gtm_keyword=REFLECTANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" }, { "id": "Cryosphere" }, { "id": "Magnetosphere_Ionosphere" }, { "id": "Oceans" } ] } ], "title": "Reflectance" }reforestation-revegetation/000077500000000000000000000000001517436701200363775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025071517436701200407100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/reforestation-revegetation{ "type": "Catalog", "id": "reforestation-revegetation", "stac_version": "1.0.0", "description": "Reforestation is the replanting of trees in forests where the trees have been cut down. Reforestation sometimes is undertaken in an effort to reduce atmospheric carbon dioxide levels by restoring forests, which are carbon sinks.[Chiras, Daniel D. 1998. Environmental Science. A Systems Approach to Sustainable Development. Wadsworth Publishing Company. 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Change in the global mean sea level provides a measure of the net change in ocean mass due to melting of glaciers and ice sheets, and net change in ocean volume due to thermal expansion. Sea level observations characterize inter-seasonal variability such as ENSO. On the regional scales, changes in sea level can be far larger than the globally averaged value due to changes in temperature, salinity and circulation. Along many continental margins vertical land displacement associated with crustal adjustments to past and current land ice melt also cause regional variations in apparent sea level independent of the ocean. Coastal sea level change is a major driver of societal impacts.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/sea-level", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Sea Level" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sea-state/000077500000000000000000000000001517436701200327665ustar00rootroot00000000000000catalog.json000066400000000000000000000017231517436701200352170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sea-state{ "type": "Catalog", "id": "sea-state", "stac_version": "1.0.0", "description": "A measure of the roughness of the sea surface; a scale of surface wave conditions related to the speed of wind.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_search=Sea%20State>m_scheme=all", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Sea State" }sea-surface-height-anomaly-ssha/000077500000000000000000000000001517436701200370575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021741517436701200413700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sea-surface-height-anomaly-ssha{ "type": "Catalog", "id": "sea-surface-height-anomaly-ssha", "stac_version": "1.0.0", "description": "Difference of sea surface height and mean sea surface. Sea surface height may be corrected using models for effects such as tides and atmospheric forcing", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/3798a6c9-9b39-4e22-bee4-be80d39049fe/?gtm_keyword=SEA%20SURFACE%20HEIGHT%20ANOMALY%20(SSHA)>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Sea Surface Height Anomaly (SSHA)" }sea-surface-salinity/000077500000000000000000000000001517436701200350515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024141517436701200373570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sea-surface-salinity{ "type": "Catalog", "id": "sea-surface-salinity", "stac_version": "1.0.0", "description": "Sea surface salinity observations contribute to monitoring the global water cycle (evaporation, precipitation and glacier and river runoff). On large scales, surface salinity can be used to infer long-term changes of the global hydrological cycle. Surface salinity, together with surface temperature, is indicative of the surface expression of ocean frontal features and eddies.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/surface-salinity", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Cryosphere" } ] } ], "title": "Sea Surface Salinity" }sea-surface-slope/000077500000000000000000000000001517436701200343375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021171517436701200366450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sea-surface-slope{ "type": "Catalog", "id": "sea-surface-slope", "stac_version": "1.0.0", "description": "The slope of the ocean water surface, resultant from a geophysical phenomenon such as dynamic circulation or tides. 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SST largely controls the atmospheric response to the ocean at both weather and climate time scales. Daily variations in SST can exceed 3 degrees Celsius and could alter the surface energy budget by more than 10 Wm-2 over the tropics and subtropics. Therefore, the SST and horizontal gradients in SST are also important for coupling with the atmosphere for sub-seasonal to seasonal prediction timescales. 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Also refer to as bathymetry, the study and mapping of sea floor elevations and the variations of water depth; the topography of the sea floor.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b6b51058-1111-4498-a9ac-e1515270fb27?gtm_keyword=SEAFLOOR%20TOPOGRAPHY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Seafloor Topography" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/seamounts/000077500000000000000000000000001517436701200331165ustar00rootroot00000000000000catalog.json000066400000000000000000000020541517436701200353450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/seamounts{ "type": "Catalog", "id": "seamounts", "stac_version": "1.0.0", "description": "Isolated steep-sided volcanic peak that rises abruptly at least 1000 m from the sea floor, sometimes piercing the surface to become islands.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/83520258-413c-4842-93c0-58a23dc58638?gtm_keyword=SEAMOUNTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Seamounts" }seasonally-frozen-ground/000077500000000000000000000000001517436701200357705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020501517436701200402720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/seasonally-frozen-ground{ "type": "Catalog", "id": "seasonally-frozen-ground", "stac_version": "1.0.0", "description": "Ground that freezes and thaws annually.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2a109b2f-947a-4c2c-9db9-ae315a53ef93?gtm_keyword=SEASONALLY%20FROZEN%20GROUND>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Land" } ] } ], "title": "Seasonally Frozen Ground" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/secchi-depth/000077500000000000000000000000001517436701200334405ustar00rootroot00000000000000catalog.json000066400000000000000000000021131517436701200356630ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/secchi-depth{ "type": "Catalog", "id": "secchi-depth", "stac_version": "1.0.0", "description": "Depth at which a Secchi disk, when lowered into the water from the surface, disappears from view due to turbidity of the water. Used as a quick assessment of water clarity.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/954c2f25-3ec8-4774-ba34-fa4289f33f0e?gtm_keyword=SECCHI%20DEPTH>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Secchi Depth" }sediment-chemistry/000077500000000000000000000000001517436701200346365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031411517436701200371420ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sediment-chemistry{ "type": "Catalog", "id": "sediment-chemistry", "stac_version": "1.0.0", "description": "Refers to the chemical makeup and characteristics of sediments. In chemistry, sedimentation has been used to measure the size of large molecules (macromolecule), where the force of gravity is augmented with centrifugal force in an ultracentrifuge.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/134fd984-9b26-4ceb-9084-3bffc0c5a321?gtm_keyword=SEDIMENT%20CHEMISTRY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f8411549-a72d-44cd-9b7b-6953ec22f8da?gtm_keyword=SEDIMENT%20CHEMISTRY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7d10ff6d-efde-4f97-866b-7d771dd32b25?gtm_keyword=SEDIMENT%20CHEMISTRY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" }, { "id": "Oceans" } ] } ], "title": "Sediment Chemistry" }sediment-composition/000077500000000000000000000000001517436701200351725ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024011517436701200374740ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sediment-composition{ "type": "Catalog", "id": "sediment-composition", "stac_version": "1.0.0", "description": "The constituent materials of a sediment sample; including trace metals, organic material or contaminants.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/17008d04-394d-4de8-8834-dd0a3cd88093?gtm_keyword=SEDIMENT%20COMPOSITION>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/17008d04-394d-4de8-8834-dd0a3cd88093?gtm_keyword=SEDIMENT%20COMPOSITION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" }, { "id": "Oceans" } ] } ], "title": "Sediment Composition" }sediment-transport/000077500000000000000000000000001517436701200346635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000037741517436701200372030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sediment-transport{ "type": "Catalog", "id": "sediment-transport", "stac_version": "1.0.0", "description": "The movement of solid particles (sediment), typically due to a combination of the force of gravity acting on the sediment, and/or the movement of the fluid in which the sediment is entrained. An understanding of sediment transport is typically used in natural systems, where the particles are clastic rocks (sand, gravel, boulders, etc.), mud, or clay; the fluid is air, water, or ice; and the force of gravity acts to move the particles due to the sloping surface on which they are resting.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/791b7271-3a30-46ee-98e0-bc8239389950?gtm_keyword=SEDIMENT%20TRANSPORT>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bd55adac-4182-4441-91e2-163aa77e1320?gtm_keyword=SEDIMENT%20TRANSPORT>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c5c34f0a-552e-45a6-91c1-9edb3a8deef9?gtm_keyword=SEDIMENT%20TRANSPORT>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e4ad5a76-7540-4433-ad82-9fe89259538b?gtm_keyword=SEDIMENT%20TRANSPORT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" }, { "id": "Oceans" } ] } ], "title": "Sediment Transport" }sedimentary-structures/000077500000000000000000000000001517436701200355665ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022711517436701200400750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sedimentary-structures{ "type": "Catalog", "id": "sedimentary-structures", "stac_version": "1.0.0", "description": "Sediments arranged in a definite pattern of organizations.Such as cross-bedding produced by migration of water ripples and dunes, graded bedding, a decrease in grain sizes going up in the bed that indicates diminishing force with time, etc.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/282ea985-efd0-4113-860d-b8221f6cc6f2?gtm_keyword=SEDIMENTARY%20STRUCTURES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Sedimentary Structures" }sedimentary-textures/000077500000000000000000000000001517436701200352265ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021011517436701200375250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sedimentary-textures{ "type": "Catalog", "id": "sedimentary-textures", "stac_version": "1.0.0", "description": "The characterization of sediment by the size of individual particles; the classification of sediment by particle-size classes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cddc37fd-8540-4c78-b567-add74e6b789b?gtm_keyword=SEDIMENTARY%20TEXTURES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Sedimentary Textures" }sedimentation-rate/000077500000000000000000000000001517436701200346155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032631517436701200371260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sedimentation-rate{ "type": "Catalog", "id": "sedimentation-rate", "stac_version": "1.0.0", "description": "For conditions in the lowest 10-15 km of Earth's atmosphere, the sedimentation (or fall) rate of a spherical cloud particle is given as the characteristic time for it to fall a distance of one atmospheric scale height (about 8 km on Earth) by tau-1fall = (2 rhop mg2 / 9 eta kT ) r2M where eta is the atmospheric dynamic viscosity (the resistance of the atmosphere to movement through it), (kT/mg) is the atmospheric scale height (k is Boltzmann's constant, T is atmospheric temperature, m is weight of a gas molecule, g is acceleration by gravity), rhop is the mass density of the cloud particle, and rM is the mass-weighted-average cloud particle radius. 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Sewage is treated to control water pollution before discharge to surface waters.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/835c5ec2-50e3-4bef-b380-9f74b143dac6?gtm_keyword=SEWAGE%20DISPOSAL>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Sewage Disposal" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/shoals/000077500000000000000000000000001517436701200323715ustar00rootroot00000000000000catalog.json000066400000000000000000000025741517436701200346270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/shoals{ "type": "Catalog", "id": "shoals", "stac_version": "1.0.0", "description": "A sandbank or sandbar that makes the water shallow and presents a navigation hazard.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4c2d2255-680d-47d6-adb2-179093593f8a?gtm_keyword=SHOALS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/94b575b8-eac4-433d-aa74-d781b650f452?gtm_keyword=SHOALS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cae5bafd-10a7-4bcf-af1a-3e187ee5e955?gtm_keyword=SHOALS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Shoals" }shoreline-displacement/000077500000000000000000000000001517436701200354575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020401517436701200377600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/shoreline-displacement{ "type": "Catalog", "id": "shoreline-displacement", "stac_version": "1.0.0", "description": "The distance over which the coast has moved due to a combination of factors; i.e., sea level rise, erosion, or sedimentation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science?gtm_search=Shoreline%20Displacement>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Shoreline Displacement" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/shorelines/000077500000000000000000000000001517436701200332535ustar00rootroot00000000000000catalog.json000066400000000000000000000037041517436701200355050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/shorelines{ "type": "Catalog", "id": "shorelines", "stac_version": "1.0.0", "description": "The fringe of land at the edge of a large body of water, such as an ocean, sea, or lake. 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In Physical Oceanography a shore is the wider fringe that is geologically modified by the action of the body of water past and present, while the beach is at the edge of the shore, representing the intertidal zone where there is one.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1d3b4eb7-9931-44bf-8457-26847051b7a8?gtm_keyword=SHORELINES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4e5cf935-cf17-4947-bd1f-6816a855953a?gtm_keyword=SHORELINES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/57e6b119-567b-44d0-9d93-278ed5c21c47?gtm_keyword=SHORELINES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Land" }, { "id": "Solid Earth" } ] } ], "title": "Shorelines" }shortwave-radiation/000077500000000000000000000000001517436701200350135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025261517436701200373250ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/shortwave-radiation{ "type": "Catalog", "id": "shortwave-radiation", "stac_version": "1.0.0", "description": "Shortwave radiation is electromagnetic radiation in the visible and near-visible portions of the spectrum (0.4 to 1.0 microns). Shortwave radiation is the small fraction of the sun's total radiated energy reaching the atmosphere. Shortwave radiation reaching the surface of the ocean is direct radiation or indirect radiation scattered from the atmosphere.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8d69bce7-efce-4efb-9870-6a6d3a2684fd?gtm_keyword=SHORTWAVE%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" }, { "id": "Atmosphere" } ] } ], "title": "Shortwave Radiation" 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"1.0.0", "description": "The average height of the highest one-third of all waves occurring in a particular time period.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/1ac6850e-9266-4e90-ba83-b6a6cc4ae365?gtm_keyword=SIGNIFICANT%20WAVE%20HEIGHT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Significant Wave Height" 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], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Silicate" }skin-temperature/000077500000000000000000000000001517436701200343205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031231517436701200366240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/skin-temperature{ "type": "Catalog", "id": "skin-temperature", "stac_version": "1.0.0", "description": "Temperature of the top layer of the ice/ocean surface from which thermal radiation emanates. It refers Refers to the effective radiating temperature of the soil plus canopy surface. It is inferred from satellites in the 8-12 um window region. In climate models, it is the temperature used to determine upward thermal emission. The skin temperature usually shows a larger diurnal variation than the surface air temperature, a factor that needs to be considered when evaluating data/model comparisons.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/25fcdcb7-efd2-4d2f-ba57-92bbcc7ba69a?gtm_keyword=SKIN%20TEMPERATURE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/40d6a3e7-89dd-4399-8fa5-bbc7a0917b4e?gtm_keyword=SKIN%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Skin Temperature" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sleet/000077500000000000000000000000001517436701200322145ustar00rootroot00000000000000catalog.json000066400000000000000000000021201517436701200344350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sleet{ "type": "Catalog", "id": "sleet", "stac_version": "1.0.0", "description": "In the United States, frozen rain drops that bounce on impact with the ground or other objects. Elsewhere, may refer to a mix of rain and snow, a mix of rain and hail, or melting snow.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5beaf99c-0675-4af3-9236-f55d8d206d85?gtm_keyword=SLEET>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Sleet" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/smog/000077500000000000000000000000001517436701200320455ustar00rootroot00000000000000catalog.json000066400000000000000000000017601517436701200342770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/smog{ "type": "Catalog", "id": "smog", "stac_version": "1.0.0", "description": "A natural fog contaminated by industrial pollutants, literally, a mixture of smoke and fog.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bad08657-da2b-4e2b-9804-25c5732bc795?gtm_keyword=SMOG>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Smog" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-cover/000077500000000000000000000000001517436701200332025ustar00rootroot00000000000000catalog.json000066400000000000000000000017311517436701200354320ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-cover{ "type": "Catalog", "id": "snow-cover", "stac_version": "1.0.0", "description": "Pertaining to the extent, depth, and longevity of snow pack.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/c8ff0035-4776-4eb9-8cc9-a63d380102c8?gtm_keyword=SNOW%20COVER>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Cover" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-density/000077500000000000000000000000001517436701200335435ustar00rootroot00000000000000catalog.json000066400000000000000000000020241517436701200357670ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-density{ "type": "Catalog", "id": "snow-density", "stac_version": "1.0.0", "description": "Pertaining to the ratio between the volume of snow, and the amount of meltwater derived from that volume of snow.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/ba2e2eff-77e0-4071-8884-b2af06e5fc7b?gtm_keyword=SNOW%20DENSITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Density" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-depth/000077500000000000000000000000001517436701200331705ustar00rootroot00000000000000catalog.json000066400000000000000000000017461517436701200354260ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-depth{ "type": "Catalog", "id": "snow-depth", "stac_version": "1.0.0", "description": "Pertaining to the thickness of snow pack throughout the year.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/47bc8942-6fdd-4173-bf38-209e933d843f?gtm_keyword=SNOW%20DEPTH>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Depth" }snow-energy-balance/000077500000000000000000000000001517436701200346615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020561517436701200371710ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-energy-balance{ "type": "Catalog", "id": "snow-energy-balance", "stac_version": "1.0.0", "description": "Pertaining to the net increase, or decrease in energy due to snow formation, melting, evaporation, etc..", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a3520db9-7bed-4f55-a9f6-028d52af6091?gtm_keyword=SNOW%20ENERGY%20BALANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Energy Balance" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-facies/000077500000000000000000000000001517436701200333165ustar00rootroot00000000000000catalog.json000066400000000000000000000024451517436701200355510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-facies{ "type": "Catalog", "id": "snow-facies", "stac_version": "1.0.0", "description": "Pertaining to the observable differences that separate/distinguish one snow/ice unit from another.[Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1f10a307-df15-43e2-b3fa-5fe6df619f98?gtm_keyword=SNOW%20FACIES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/99506fd1-5f84-485d-8e26-03e4f7b55136?gtm_keyword=SNOW%20FACIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Facies" }snow-grain-size/000077500000000000000000000000001517436701200340555ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032711517436701200363650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-grain-size{ "type": "Catalog", "id": "snow-grain-size", "stac_version": "1.0.0", "description": "The size of individual snow grains in micrometers. Snow grains (also called granular snow.) Precipitation in the form of very small, white opaque particles of ice; the solid equivalent of drizzle. They resemble snow pellets in external appearance, but are more flattened and elongated, and generally have diameters of less than 1 mm; they neither shatter nor bounce when they hit a hard surface. Descriptions of the physical structure of snow grains vary widely and include very fine, simple ice crystals; tiny, complex snow crystals; small, compact bundles of rime; and particles with a rime core and a fine glaze coating. It is agreed that snow grains usually fall in very small quantities, mostly from stratus clouds or from fog, and never in the form of a shower.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a30b2871-4cdc-418a-b00c-969b50008726?gtm_keyword=SNOW%20GRAIN%20SIZE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Grain Size" }snow-ice-chemistry/000077500000000000000000000000001517436701200345525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025121517436701200370570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-ice-chemistry{ "type": "Catalog", "id": "snow-ice-chemistry", "stac_version": "1.0.0", "description": "Refers to the chemical composition of snow and ice as determined from snow cores, ice cores, and snow pits.[Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dfe4b154-84e0-4005-81ce-90daf38c06e3?gtm_keyword=SNOW/ICE%20CHEMISTRY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9a3b0d9b-4409-439f-b23d-c07590ff919e?gtm_keyword=SNOW/ICE%20CHEMISTRY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow/Ice Chemistry" }snow-ice-temperature/000077500000000000000000000000001517436701200351005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024511517436701200374070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-ice-temperature{ "type": "Catalog", "id": "snow-ice-temperature", "stac_version": "1.0.0", "description": "Pertaining to the measured internal temperature of snow/ice pack(s).[Goudie, Andrew. 1997. The Encyclopedic Dictionary of Physical Geography. Blackwell Publishing, Malden, Massachusetts.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dfe4b154-84e0-4005-81ce-90daf38c06e3?gtm_keyword=SNOW/ICE%20CHEMISTRY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1341f3e1-9279-4ae6-9a93-6a612957efd1?gtm_keyword=SNOW/ICE%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow/Ice Temperature" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-melt/000077500000000000000000000000001517436701200330255ustar00rootroot00000000000000catalog.json000066400000000000000000000017401517436701200352550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-melt{ "type": "Catalog", "id": "snow-melt", "stac_version": "1.0.0", "description": "Pertaining to the rate and extent of melting snow pack(s).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/58f98d2a-d7d6-47d4-b826-68fdc57e79bb?gtm_keyword=SNOW%20MELT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Melt" }snow-water-equivalent/000077500000000000000000000000001517436701200353025ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022611517436701200376100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow-water-equivalent{ "type": "Catalog", "id": "snow-water-equivalent", "stac_version": "1.0.0", "description": "The water content obtained from melting accumulated snow.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/587e4d68-36f0-45b5-9978-4b3edd58a1c0?gtm_keyword=SNOW%20WATER%20EQUIVALENT>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/47d8d3db-9aea-49f3-8edd-5216736a85ef?gtm_keyword=SNOW%20WATER%20EQUIVALENT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow Water Equivalent" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow/000077500000000000000000000000001517436701200320665ustar00rootroot00000000000000catalog.json000066400000000000000000000021501517436701200343120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/snow{ "type": "Catalog", "id": "snow", "stac_version": "1.0.0", "description": "A type of frozen precipitation composed of white or translucent ice crystals, chiefly in complex branch hexagonal form and often agglomerated into snow-flakes, especially at temperatures warmer than -5 C (23 F).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b51b3708-a662-4cf1-bf13-e67f36b001c4?gtm_keyword=SNOW>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Snow" }soil-absorption/000077500000000000000000000000001517436701200341455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023261517436701200364550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/soil-absorption{ "type": "Catalog", "id": "soil-absorption", "stac_version": "1.0.0", "description": "The movement of ions and water into the plant root as a result of metabolic processes by the root or diffusion along a gradient.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d0da93ff-af45-4e26-8b94-8b90d0e06438?gtm_keyword=SOIL%20ABSORPTION>m_scheme=Earth%20Science; 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Knowing the average root depth for the plants in each watering zone is important to determine an efficient watering schedule. Shallow roots require more frequent watering than deep roots, which can draw water from a larger soil profile. Average root depths vary with plant type. Trees will have root depths of 24 inches or more. Xeriscape plants will have root depths around 10 inches. Shrubs and perennials will have roots of 8 inches or more. Grass can have deep roots (greater than 6 inches, depending on region). Annuals and bedding plants have the shallowest roots at 4-5 inches.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2b91245e-a779-42fa-89c2-303217463b95?gtm_keyword=SOIL%20ROOTING%20DEPTH>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1b475201-a032-4a66-a3aa-a35605affaee?gtm_keyword=SOIL%20ROOTING%20DEPTH>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Soil Rooting Depth" }soil-salinity-soil-sodicity/000077500000000000000000000000001517436701200364125ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030501517436701200407150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/soil-salinity-soil-sodicity{ "type": "Catalog", "id": "soil-salinity-soil-sodicity", "stac_version": "1.0.0", "description": "The term salinity refers to the presence of the major dissolved inorganic solutes, essentially Na, Mg, Ca, K, Cl, SO4, HCO3, and CO3, in aqueous samples. As applied to soils, it refers to the soluble plus readily dissolvable salts in the soil or, more usually, in an aqueous extract of a soil sample. Salinity is quantified in terms of the total concentration (or, occasionally, the content) of such soluble salts.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3b54403e-25a1-43cc-97ac-7c14e73bda96?gtm_keyword=SOIL%20SALINITY/SOIL%20SODICITY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3b54403e-25a1-43cc-97ac-7c14e73bda96?gtm_keyword=SOIL%20SALINITY/SOIL%20SODICITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Soil Salinity/Soil Sodicity" }soil-structure/000077500000000000000000000000001517436701200340255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027211517436701200363340ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/soil-structure{ "type": "Catalog", "id": "soil-structure", "stac_version": "1.0.0", "description": "The combination or arrangement of primary soil particles into secondary units or peds. These secondary units may be, but usually are not, arranged in the profile in such a manner as to give a distinctive characteristic pattern. The secondary units are characterized and classified on the basis of size, shape, and degree of distinctness into classes, types, and grades, respectively.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/aa25235a-596f-4504-89e1-4c625275700d?gtm_keyword=SOIL%20STRUCTURE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e4daef1d-e672-41d0-bc6d-80c6b5c0799b?gtm_keyword=SOIL%20STRUCTURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Soil Structure" }soil-temperature/000077500000000000000000000000001517436701200343225ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000030631517436701200366310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/soil-temperature{ "type": "Catalog", "id": "soil-temperature", "stac_version": "1.0.0", "description": "The degree of hotness or coldness of the soil as measured on some definite temperature scale.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/26f5bb2a-b872-41e8-922f-3a9a0e9f9bcd?gtm_keyword=SOIL%20TEMPERATURE>m_scheme=Earth%20Science; 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The sun's activity is described as being very low, low, moderate, high or very high. Solar activity changes over a period of, on average, 11 years. At solar maximum, the solar activity is high and so too the Extreme Ultraviolet (EUV) radiation output which affects the ionosphere. At solar minimum, the opposite is true.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2e83362e-d8f8-4bca-83fd-bae360ebe94b?gtm_keyword=SOLAR%20ACTIVITY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Activity" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-flares/000077500000000000000000000000001517436701200334725ustar00rootroot00000000000000catalog.json000066400000000000000000000022761517436701200357270ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-flares{ "type": "Catalog", "id": "solar-flares", "stac_version": "1.0.0", "description": "A sudden and violent release of matter and energy within a solar activity region in the form of electromagnetic radiation, energetic particles, shock waves, lasting a few minutes to hours. Solar flares accelerate charged particles into interplanetary space.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fa9f54b2-a101-4faf-b1dc-b6dff141c08c?gtm_keyword=SOLAR%20FLARES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Flares" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-imagery/000077500000000000000000000000001517436701200336535ustar00rootroot00000000000000catalog.json000066400000000000000000000020731517436701200361030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-imagery{ "type": "Catalog", "id": "solar-imagery", "stac_version": "1.0.0", "description": "Solar imagery refers to solar images obtained for research in any spectral wavelength from ground or space-borne platforms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e2fc7768-955b-4e76-935e-d33805fcc914?gtm_keyword=SOLAR%20IMAGERY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Imagery" }solar-induced-chlorophyll-fluorescence-sif/000077500000000000000000000000001517436701200413415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000033051517436701200436470ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-induced-chlorophyll-fluorescence-sif{ "type": "Catalog", "id": "solar-induced-chlorophyll-fluorescence-sif", "stac_version": "1.0.0", "description": "Solar induced chlorophyll fluorescence (SIF) is an electromagnetic signal emitted by the chlorophyll a of assimilating plants: part of the energy absorbed by chlorophyll a is not used for photosynthesis, but emitted at longer wavelengths as a two-peak spectrum roughly covering the 650-850 nm spectral range. The SIF signal responds instantaneously to perturbations in environmental conditions such as light and water stress, which makes it a direct proxy for photosynthetic activity. However, SIF emission constitutes only a small fraction (typically 0.5%-2%) of the radiance at the top of the canopy, which is mostly composed of reflected sunlight, and its estimation from space-borne spectrometers requires both high spectral resolution and advanced retrieval schemes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://eo4society.esa.int/projects/sentinel-5p-innovation-solar-induced-chlorophyll-fluorescence-sif/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar-induced chlorophyll fluorescence (SIF)" }solar-irradiance/000077500000000000000000000000001517436701200342405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027321517436701200365510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-irradiance{ "type": "Catalog", "id": "solar-irradiance", "stac_version": "1.0.0", "description": "Solar irradiance at the top of the atmosphere on a plane normal to the incident radiation, and at the mean distance of the Earth from the Sun. Solar irradiance is also referred to as the solar constant. In satellite remote sensing, the solar irradiance is used as an onboard calibrartion of visible band sensors. Some climate studies suggest that small variations in the solar irradiance associated with solar activity over days to decades may have an effect the Earth's climate.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/de7647c9-b129-4cba-afe4-63fa9998206e?gtm_keyword=SOLAR%20IRRADIANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Irradiance" }solar-oscillations/000077500000000000000000000000001517436701200346425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000033021517436701200371450ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-oscillations{ "type": "Catalog", "id": "solar-oscillations", "stac_version": "1.0.0", "description": "The surface of the sun oscillates in certain modes defined by the number of latitudinal and longitudinal modal planes. The sun vibrates in multiple modes simultaneously, each mode typically having a different amplitude. Observing the amplitudes of the various solar oscillation modes is a way to look inside the sun. A commonly observed phenomena is the \"5-minute\" oscillation, but other periods have been observed from 10 to 160 minutes on the long period scale to about 10 seconds on the short period scale. Also observed are so-called \"g-mode\" oscillations (internal gravity waves) generated by turbulent convection below the photosphere. These oscillations are the result of internal motions of the sun and their study is known as helioseismology.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/88bd8ce6-334d-4a42-8d51-5ed074ef5a89?gtm_keyword=SOLAR%20OSCILLATIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Oscillations" }solar-prominences-solar-filaments/000077500000000000000000000000001517436701200375575ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024731517436701200420720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-prominences-solar-filaments{ "type": "Catalog", "id": "solar-prominences-solar-filaments", "stac_version": "1.0.0", "description": "A term identifying cloud-like features in the solar atmosphere. The features appear as bright structures in the corona above the solar limb and as dark filaments when seen projected against the solar disk. Solar filaments are also known as prominences, can appear as arcs and properties can vary with the solar cycle.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7b52f7f5-4102-4829-8ea3-c0dcdd36bdca?gtm_keyword=SOLAR%20PROMINENCES/SOLAR%20FILAMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Prominences/Solar Filaments" }solar-radiation/000077500000000000000000000000001517436701200341115ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021671517436701200364240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-radiation{ "type": "Catalog", "id": "solar-radiation", "stac_version": "1.0.0", "description": "Solar radiation is the total electromagnetic radiation emitted by the Sun. Also could include insolation, direct solar radiation, diffuse radiation, solar irradiance, and shortwave radiation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a0f3474e-9a54-4a82-97c4-43864b48df4c?gtm_keyword=SOLAR%20RADIATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Solar Radiation" }solar-radio-wave-emissions/000077500000000000000000000000001517436701200362045ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022041517436701200405070ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-radio-wave-emissions{ "type": "Catalog", "id": "solar-radio-wave-emissions", "stac_version": "1.0.0", "description": "Also known as solar radio emissions. Emissions of the sun in radio wavelengths from centimeters to decameters, under both quiet and disturbed conditions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/25aa0f7b-89a5-46d7-b3d3-622b60032661?gtm_keyword=SOLAR%20RADIO%20WAVE%20EMISSIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Radio Wave Emissions" }solar-synoptic-maps/000077500000000000000000000000001517436701200347455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020611517436701200372510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-synoptic-maps{ "type": "Catalog", "id": "solar-synoptic-maps", "stac_version": "1.0.0", "description": "Synoptic maps refer to the state of the entire viewable solar disk at a given moment in time.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ace2d2e5-0b9a-472e-b27b-c687b9108076?gtm_keyword=SOLAR%20SYNOPTIC%20MAPS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Synoptic Maps" }solar-ultraviolet-emissions/000077500000000000000000000000001517436701200365205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027371517436701200410360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-ultraviolet-emissions{ "type": "Catalog", "id": "solar-ultraviolet-emissions", "stac_version": "1.0.0", "description": "Radiation with wavelengths roughly between 200 and 400 nanometers. These wavelengths are shorter than those which characterize visible light. Observations from satellites in the UV and extreme UV (EUV) wavelengths have demonstrated the sun's UV variability over short time scales of days and weeks. UV variability is linked to solar magnetic activity phenomena such as flares and plages. Studies of the UV and EUV irradiance variability may have indicated influences on the Earth's climate dynamics.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a4390c3d-cffa-43ee-8e91-49c6d49ac371?gtm_keyword=SOLAR%20ULTRAVIOLET%20EMISSIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Ultraviolet Emissions" }solar-velocity-fields/000077500000000000000000000000001517436701200352415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025121517436701200375460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-velocity-fields{ "type": "Catalog", "id": "solar-velocity-fields", "stac_version": "1.0.0", "description": "Solar velocity fields are also known as differential rotation. The sun rotates slightly more rapidly at the equator than at the poles. Gases at the equator make about 10 rotations, whiles gases at midlatitudes rotates 9 times and gases at the poles rotates about 7 times. This produces a shear in the gas motions and a pronounced E-W orientation of the magnetic field.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e4fcb001-f517-4295-89dd-73292e0bf3ee?gtm_keyword=SOLAR%20VELOCITY%20FIELDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Velocity Fields" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-wind/000077500000000000000000000000001517436701200331575ustar00rootroot00000000000000catalog.json000066400000000000000000000031051517436701200354040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-wind{ "type": "Catalog", "id": "solar-wind", "stac_version": "1.0.0", "description": "The solar wind is hot solar plasma spreading from the solar corona in all directions, at a typical speed of 300-1,000 km/sec. The solar wind is essentially the hot solar corona on expanding in all directions into the interplanetary space. The solar wind is diverted around the Earth by the Earth's magnetic field, although some solar particles enter the Earth's field at the poles. The solar wind carries coronal magnetic fields by a process known as frozen in the flux. If these frozen in fields have the same North-South orientation as the Earth's magnetic field, energy can be transferred into the Earth's magnetosphere, leading to geomagnetic storms.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5d290bd8-049b-4002-86c8-8acba563d0e1?gtm_keyword=SOLAR%20WIND>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar Wind" }solar-x-ray-emissions/000077500000000000000000000000001517436701200352065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026241517436701200375170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/solar-x-ray-emissions{ "type": "Catalog", "id": "solar-x-ray-emissions", "stac_version": "1.0.0", "description": "Solar X-Ray emissions can consist of X-Ray background flux or X-Ray bursts. A daily average background X-ray flux is in the 1 to 8 angstrom range. It is a midday minimum designed to reduce the effects of flares. X-Ray burstsare a temporary enhancement of the X-ray emission of the sun. The time-intensity profile of soft X-ray bursts is similar to that of the H-Alpha profile of an associated flare. Bursts last from minutes to several hours.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a15e514b-4b44-4587-a857-34ab7e2d357e?gtm_keyword=SOLAR%20X-RAY%20EMISSIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Solar X-Ray Emissions" }southern-oscillation-index/000077500000000000000000000000001517436701200363135ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027001517436701200406170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/southern-oscillation-index{ "type": "Catalog", "id": "southern-oscillation-index", "stac_version": "1.0.0", "description": "The Southern Oscillation Index (SOI) is computed using monthly mean sea level pressure anomalies at Tahiti (T) and Darwin (D). The SOI [T-D] is an optimal index that combines the Southern Oscillation into one series. The SOI noise [T+D] series is a measure of small scale and/or transient phenomena that are not part of the large scale Southern Oscillation. These SOI values are similar to those calculated by the Climate Prediction Center in that they have been derived using normalization factors derived from monthly values.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science?gtm_search=Southern%20Oscillation%20Index>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Southern Oscillation Index" }stable-isotopes/000077500000000000000000000000001517436701200341365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025761517436701200364550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/stable-isotopes{ "type": "Catalog", "id": "stable-isotopes", "stac_version": "1.0.0", "description": "An isotope of an element that shows no tendency to undergo radioactive breakdown.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/df1a03f5-1cb3-4c63-870a-5a09debdf065?gtm_keyword=STABLE%20ISOTOPES>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/38dadd6d-6adb-44e2-b28a-fd18d797d052?gtm_keyword=STABLE%20ISOTOPES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fb52b51d-8bb4-4b04-907b-c130ec706f85?gtm_keyword=STABLE%20ISOTOPES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Stable Isotopes" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/stage-height/000077500000000000000000000000001517436701200334515ustar00rootroot00000000000000catalog.json000066400000000000000000000020171517436701200356770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/stage-height{ "type": "Catalog", "id": "stage-height", "stac_version": "1.0.0", "description": "The elevation of the water level of a lake, river, stream or other body of water above a common datum.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5cb5d5b9-0c0b-497f-a4ea-a8cece52d13d?gtm_keyword=STAGE%20HEIGHT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Stage Height" }standardized-precipitation-index/000077500000000000000000000000001517436701200374525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027131517436701200417620ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/standardized-precipitation-index{ "type": "Catalog", "id": "standardized-precipitation-index", "stac_version": "1.0.0", "description": "An index developed by McKee et al. (1993) to quantify precipitation deficit at a given location for multiple timescales. Standardized precipitation is the difference of precipitation from the mean for a specified time divided by the standard deviation, where the mean and standard deviation are determined from the climatological record. The fact that precipitation is not normally distributed is overcome by applying a transformation (i.e., gamma function) to the distribution.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/3b024dec-76c2-4995-a9ad-7e2bf4feda72?gtm_keyword=STANDARDIZED%20PRECIPITATION%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Standardized Precipitation Index" }static-pressure/000077500000000000000000000000001517436701200341565ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020671517436701200364700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/static-pressure{ "type": "Catalog", "id": "static-pressure", "stac_version": "1.0.0", "description": "The component of the force measured perpendicular to the flow per unit area orientated parallel to the direction of fluid flow.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/622c44b4-e307-4c11-af4d-8104de7086e5?gtm_keyword=STATIC%20PRESSURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Static Pressure" }static-temperature/000077500000000000000000000000001517436701200346435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000017551517436701200371600ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/static-temperature{ "type": "Catalog", "id": "static-temperature", "stac_version": "1.0.0", "description": "The temperature of undisturbed (static) air.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/a1588b7d-7307-4543-9908-76d7877c4010?gtm_keyword=STATIC%20TEMPERATURE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Static Temperature" }station-height/000077500000000000000000000000001517436701200337505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022021517436701200362510ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/station-height{ "type": "Catalog", "id": "station-height", "stac_version": "1.0.0", "description": "Also called Station Elevation. Station Height is the vertical distance above mean sea level that is adopted as the reference datum level for all current measurements of atmospheric pressure at the station.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2343baae-1c4a-4096-8cac-fea8ed7a984f?gtm_keyword=STATION%20HEIGHT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Station Height" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/storm-surge/000077500000000000000000000000001517436701200333675ustar00rootroot00000000000000catalog.json000066400000000000000000000032551517436701200356220ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/storm-surge{ "type": "Catalog", "id": "storm-surge", "stac_version": "1.0.0", "description": "A phenomena wherein sea level rises above the normal tide level when hurricanes or tropical storms move from the ocean along or across a coastal region. This sea level rise can consists of three components, the first of which results from low barometric pressure, i.e. the so-called inverse barometer effect, where lower atmospheric pressure on the surface of the water allows it to rise. The second component is wind set-up where the winds drag surface", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0bf50cd4-8a97-468c-8e73-047e3e09a03d?gtm_keyword=STORM%20SURGE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/9edd23d0-68a9-4bae-8887-705058f48ba7?gtm_keyword=STORM%20SURGE>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/062be713-9c35-458e-86e2-26cea9415f5d?gtm_keyword=STORM%20SURGE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Storm Surge" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/strain/000077500000000000000000000000001517436701200324005ustar00rootroot00000000000000catalog.json000066400000000000000000000020761517436701200346330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/strain{ "type": "Catalog", "id": "strain", "stac_version": "1.0.0", "description": "Pertaining to the measurement, analysis, or modeling of strain that has occurred in the Earth's crust, either through in-situ measurements, or through laboratory experiments.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/5d7f7568-bfc3-4c11-b446-c4f6488c8ae9?gtm_keyword=STRAIN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Strain" }stratigraphic-sequence/000077500000000000000000000000001517436701200354735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021621517436701200400010ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/stratigraphic-sequence{ "type": "Catalog", "id": "stratigraphic-sequence", "stac_version": "1.0.0", "description": "A set of deposited sedimentary beds that reflects the depositional environment of those beds and the geologic history of a region.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/efe175a0-100b-404b-a702-2e179bee034a?gtm_keyword=STRATIGRAPHIC%20SEQUENCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Oceans" } ] } ], "title": "Stratigraphic Sequence" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/stratopause/000077500000000000000000000000001517436701200334525ustar00rootroot00000000000000catalog.json000066400000000000000000000020241517436701200356760ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/stratopause{ "type": "Catalog", "id": "stratopause", "stac_version": "1.0.0", "description": "The top of the inversion layer in the upper stratosphere at an altitude of about 50 kilometers (31 miles).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/82191e97-53ba-413d-9a08-acd8b848e0b0?gtm_keyword=STRATOPAUSE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Stratopause" }stratospheric-temperature-anomalies/000077500000000000000000000000001517436701200402145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000025111517436701200425200ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/stratospheric-temperature-anomalies{ "type": "Catalog", "id": "stratospheric-temperature-anomalies", "stac_version": "1.0.0", "description": "The stratosphere is the upper middle part of the atmosphere, and is the level of the Jet Stream winds. Colder temperatures in the stratosphere over the Arctic are associated with the positive phase of the�Arctic Oscillation, and are indicative of stronger polar winds.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0eb1af15-7bd4-40c6-b8a4-666cbb61ff8c?gtm_keyword=STRATOSPHERIC%20TEMPERATURE%20ANOMALIES>m_scheme=Earth%20Science; https://www.pmel.noaa.gov/arctic-zone/detect/climate-strat.shtml", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Stratospheric Temperature Anomalies" }streamfunctions/000077500000000000000000000000001517436701200342455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020351517436701200365520ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/streamfunctions{ "type": "Catalog", "id": "streamfunctions", "stac_version": "1.0.0", "description": "A parameter of two-dimensional, nondivergent flow, with a value that is constant along each streamline.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/eaeb5cdd-365f-4368-8e20-6defe111b3b4?gtm_keyword=STREAMFUNCTIONS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Streamfunctions" }sub-atomic-particle-flux/000077500000000000000000000000001517436701200356415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000026701517436701200401530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sub-atomic-particle-flux{ "type": "Catalog", "id": "sub-atomic-particle-flux", "stac_version": "1.0.0", "description": "These particles include atomic constituents such as electrons, protons, and neutrons (protons and neutrons are actually composite particles, made up of quarks), as well as other particles such as photons and neutrinos which are produced copiously in the sun. However, most of the particles that have been discovered and studied are not encountered under normal earth conditions; they are produced in cosmic rays and during scattering processes in particle accelerators.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0168947c-5f28-46d8-b643-cb31af02a6de?gtm_keyword=SUB-ATOMIC%20PARTICLE%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Sub-Atomic Particle Flux" }subglacial-lake/000077500000000000000000000000001517436701200340415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000061211517436701200363460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/subglacial-lake{ "type": "Catalog", "id": "subglacial-lake", "stac_version": "1.0.0", "description": "Subglacial lakes under ice sheets and glaciers affect multiple components of the Earth system. A subglacial lake is defined as any discrete water body at the base of an ice mass, without presuming a minimum area or depth. With this definition, lakes exist across a wide range of length scales: from small (around 1?m) water bodies in basal cavities to large (>100?km) lakes that strongly influence ice dynamics by producing flat ice surfaces, and from shallow (about 1?cm or less) water patches connected by saturated sediments to deep (approximately hundreds of metres) lakes with their own internal circulation. Although no minimum size is presumed, the smallest subglacial lakes in the inventory are of the order of 0.0001?km3. Subglacial lake locations and volumes are determined by subglacial hydrology, which results from subglacial water production and the surface and bedrock topography. Subglacial lakes occur when subglacial meltwater collects in local minima of basal hydrological potential, owing to depressions in bed topography and the glacier surface, ice flow over �sticky spots�, or trapping of basal water behind cold-based ice. Subglacial lakes under ice sheets and glaciers affect multiple components of the Earth system. A subglacial lake is defined as any discrete water body at the base of an ice mass, without presuming a minimum area or depth. With this definition, lakes exist across a wide range of length scales: from small (around 1?m) water bodies in basal cavities to large (>100?km) lakes that strongly influence ice dynamics by producing flat ice surfaces, and from shallow (about 1?cm or less) water patches connected by saturated sediments to deep (approximately hundreds of metres) lakes with their own internal circulation. Although no minimum size is presumed, the smallest subglacial lakes in the inventory are of the order of 0.0001?km3. Subglacial lake locations and volumes are determined by subglacial hydrology, which results from subglacial water production and the surface and bedrock topography. Subglacial lakes occur when subglacial meltwater collects in local minima of basal hydrological potential, owing to depressions in bed topography and the glacier surface, ice flow over �sticky spots�, or trapping of basal water behind cold-based ice.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://www.nature.com/articles/s43017-021-00246-9", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Subglacial Lake" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sublimation/000077500000000000000000000000001517436701200334265ustar00rootroot00000000000000catalog.json000066400000000000000000000020631517436701200356550ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sublimation{ "type": "Catalog", "id": "sublimation", "stac_version": "1.0.0", "description": "The process of phase transition from solid directly to vapor in the absence of melting.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d438f0a2-5a88-4d56-8bec-7c5e35249544?gtm_keyword=SUBLIMATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], 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Subsurface salinity are required to calculate in situ density and ocean freshwater transports, respectively, and coincident subsurface observations of salinity, temperature and pressure provide an estimate of the ocean geostrophic velocity. In addition, subsurface salinity is used to derive large-scale gridded climate products including ocean velocity, mixed-layer depth, density stratification, sea level and indirect subsurface ocean mixing used in many weather and climate applications.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/subsurface-salinity", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Subsurface Salinity" }subsurface-temperature/000077500000000000000000000000001517436701200355165ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000031611517436701200400240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/subsurface-temperature{ "type": "Catalog", "id": "subsurface-temperature", "stac_version": "1.0.0", "description": "Subsurface temperature is a fundamental variable that is required to monitor variability and change in the physical environment of the ocean, energy flows, climate patterns and sea level. 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In extreme cases, SSW temperature anomalies can reach more than 70 K relative to the long-term mean.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://acp.copernicus.org/articles/23/1259/2023/acp-23-1259-2023.pdf", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "Sudden Stratospheric Warming (SSW)" }sulfate-particles/000077500000000000000000000000001517436701200344505ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021411517436701200367530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfate-particles{ "type": "Catalog", "id": "sulfate-particles", "stac_version": "1.0.0", "description": "Atmospheric aerosol particles derived from biogenic or anthropogenic sulfur emissions; comprised of sulfate compounds (e.g., DMS, sulfuric acid, ammonium sulfate).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ca71b02b-4446-414c-8697-0950d7382cc4?gtm_keyword=SULFATE%20PARTICLES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Sulfate Particles" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfate/000077500000000000000000000000001517436701200325435ustar00rootroot00000000000000catalog.json000066400000000000000000000030571517436701200347760ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfate{ "type": "Catalog", "id": "sulfate", "stac_version": "1.0.0", "description": "The sulfate ion is a polyatomic anion with the empirical formula SO42- and a molecular mass of 96.06 daltons; it consists of a central sulfur atom surrounded by four equivalent oxygen atoms in a tetrahedral arrangement. The sulfate ion carries a negative two charge and is the conjugate base of the bisulfate (or hydrogen sulfate) ion, HSO4-, which is the conjugate base of H2SO4, sulfuric acid. Organic sulfates, such as dimethyl sulfate, are covalent compounds and esters of sulfuric acid. Sulfates occur as microscopic particles (aerosols) resulting from fossil fuel and biomass combustion. They increase the acidity of the atmosphere and form acid rain.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2ab4134d-1ac7-4421-a7a6-659a542aff4c?gtm_keyword=SULFATE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Sulfate" }sulfur-dioxide/000077500000000000000000000000001517436701200337645ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027771517436701200363060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfur-dioxide{ "type": "Catalog", "id": "sulfur-dioxide", "stac_version": "1.0.0", "description": "Sulfur dioxide (SO2) is a non-inflammable colorless gas. SO2 is usually oxidized by ozone and hydrogen peroxide to form sulfur trioxide, a secondary pollutant that is extremely soluble in water. Droplets of sulfuric acid (acid rain) are formed when sulfur oxides are present in the atmosphere. The production of SO2 originating from coal-fired power plants and other fossil fuel combustion is largely responsible for the damage caused by acid rain. Volcanic eruptions also provide a sourceof sulfur dioxide in the atmosphere but are insignificant when compared to anthropogenic sources.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f5717312-c3ca-4492-a166-9f17c6d9b273?gtm_keyword=SULFUR%20DIOXIDE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Sulfur Dioxide" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfur-oxides/000077500000000000000000000000001517436701200337115ustar00rootroot00000000000000catalog.json000066400000000000000000000027371517436701200361500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfur-oxides{ "type": "Catalog", "id": "sulfur-oxides", "stac_version": "1.0.0", "description": "The concentrations of Sulfur Dioxide (SO2) and Sulfur Trioxide (SO3) in the atmosphere. Sulfur oxides (SOx) can occur naturally from such sources as volcanoes, sulfur springs and decaying organic matter, or from anthropogenic sources such as fossil fuel combustion, brickworks, and spontaneous combustion in coal mine spoil heaps. Sulfur oxides in the atmosphere are usually removed by acid rain.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/cc676fb2-cf17-413d-bb00-0b95d231f157?gtm_keyword=SULFUR%20OXIDES>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/c3090318-c845-4242-bf2f-ff1631b88831?gtm_keyword=SULFUR%20OXIDES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Sulfur Oxides" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfur/000077500000000000000000000000001517436701200324205ustar00rootroot00000000000000catalog.json000066400000000000000000000021521517436701200346460ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sulfur{ "type": "Catalog", "id": "sulfur", "stac_version": "1.0.0", "description": "Measure of any form of Sulfur, a macronutrient, in the soil.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/e3d3f76d-0ffe-4616-9988-0520e78cf842?gtm_keyword=SULFUR>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/742e6889-1ebf-4441-b803-4892c7176822?gtm_keyword=SULFUR>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Sulfur" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sunshine/000077500000000000000000000000001517436701200327345ustar00rootroot00000000000000catalog.json000066400000000000000000000020101517436701200351530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sunshine{ "type": "Catalog", "id": "sunshine", "stac_version": "1.0.0", "description": "Direct radiation from the Sun, as opposed to the shading of a location by clouds or other obstructions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/86c95fdb-17b9-4224-a020-b1aacbea00fd?gtm_keyword=SUNSHINE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Sunshine" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sunspots/000077500000000000000000000000001517436701200327765ustar00rootroot00000000000000catalog.json000066400000000000000000000030561517436701200352300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/sunspots{ "type": "Catalog", "id": "sunspots", "stac_version": "1.0.0", "description": "An area seen as a dark spot on the PHOTOSPHERE of the sun. 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The parameter Swamp may be colloquially interchanged with the parameter Marshes.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8c05bcf2-d13b-44fd-b1a2-5ec797b2f851?gtm_keyword=SWAMPS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/6cec3b57-1a7f-404d-afde-4de045ef0dd2?gtm_keyword=SWAMPS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Swamps" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/swells/000077500000000000000000000000001517436701200324115ustar00rootroot00000000000000catalog.json000066400000000000000000000020371517436701200346410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/swells{ "type": "Catalog", "id": "swells", "stac_version": "1.0.0", "description": "The long-period, undulating waves that propagate energy to great distances from the point of generation; the source of \"breakers\" along the beach.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/4e4d3c18-cdd4-474a-a936-6e127ec526f7?gtm_keyword=SWELLS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Swells" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/talik/000077500000000000000000000000001517436701200322045ustar00rootroot00000000000000catalog.json000066400000000000000000000025611517436701200344360ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/talik{ "type": "Catalog", "id": "talik", "stac_version": "1.0.0", "description": "Talik, also called tabetisol, is a Russian term applied to permanently unfrozen ground in regions of permafrost. This usually applies to a layer that lies above the permafrost but below the active layer, that is, when the permafrost table is deeper than the depth reached by winter freezing from the surface. Talik is also found within and beneath permafrost; when it occurs beneath the permafrost it is equivalent to subgelisol.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/78e5e44c-7832-456d-a599-893ea87ae695?gtm_keyword=TALIK>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" }, { "id": "Land" } ] } ], "title": "Talik" }tectonic-landforms/000077500000000000000000000000001517436701200346145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027671517436701200371350ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tectonic-landforms{ "type": "Catalog", "id": "tectonic-landforms", "stac_version": "1.0.0", "description": "\"Tectonic landforms\" are structural landforms of regional extent. These landforms make up extensive landscapes whose topography is strongly influenced by the structure of underlying rocks that have undergone (or are undergoing) some degree of deformation (and possible associated metamorphism and igneous intrusion). Landscapes developed on orogenic belts, uplifts, domes, basins, and shields can all be thought of as tectonic landforms. \"Tectonic processes\" are large-scale geologic processes that develop these landforms and include mountain building and crustal rifting.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/46172bbe-8bf0-49a0-848f-129c089aeb8e?gtm_keyword=TECTONIC%20LANDFORMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" } ] } ], "title": "Tectonic Landforms" }tectonic-processes/000077500000000000000000000000001517436701200346355ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000024501517436701200371430ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tectonic-processes{ "type": "Catalog", "id": "tectonic-processes", "stac_version": "1.0.0", "description": "The process of upwelling of magma, plate movement, subduction of crust, folding, faulting, warping, fracturing, earthquakes, and volcanic activity.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/99b4792a-9ea3-4756-a4dc-b1b30c946b54?gtm_keyword=TECTONIC%20PROCESSES>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f0bd7eeb-9004-4e40-a649-f6010d8a4303?gtm_keyword=TECTONIC%20PROCESSES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Tectonic Processes" }temperature-anomalies/000077500000000000000000000000001517436701200353245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021061517436701200376300ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/temperature-anomalies{ "type": "Catalog", "id": "temperature-anomalies", "stac_version": "1.0.0", "description": "The deviation of temperature in a given region over a specified period from the long-term average value for the same region.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7ca345d4-8e15-49ae-98a7-1c387f61ea85?gtm_keyword=TEMPERATURE%20ANOMALIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Temperature Anomalies" }temperature-concentration-index-tci/000077500000000000000000000000001517436701200401045ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021331517436701200424100ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/temperature-concentration-index-tci{ "type": "Catalog", "id": "temperature-concentration-index-tci", "stac_version": "1.0.0", "description": "Temperature Concentration Index (TCI) quantifies the distribution of mean monthly temperatures.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d73be111-7aae-4a96-89c2-7b64c064893c?gtm_keyword=TEMPERATURE%20CONCENTRATION%20INDEX%20(TCI)>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Temperature Concentration Index (TCI)" }temperature-humidity-index/000077500000000000000000000000001517436701200363155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000034571517436701200406330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/temperature-humidity-index{ "type": "Catalog", "id": "temperature-humidity-index", "stac_version": "1.0.0", "description": "Temperature-Humidity Index (THI), combination of temperature and humidity that is a measure of the degree of discomfort experienced by an individual in warm weather; it was originally called the discomfort index. The index is essentially an effective temperature based on air temperature and humidity; it equals 15 plus 0.4 times the sum of simultaneous readings of the dry- and wet-bulb temperatures. Thus, if the dry-bulb temperature is 90� F (32� C) and the wet-bulb temperature is 50� F (10� C), the discomfort index is 15 + 0.4 (140), or 71. Most people are quite comfortable when the index is below 70 and very uncomfortable when the index is above 80 to 85. In the U.S. the highest average daily values of the THI, exceeding 80, consistently occur in the southern California deserts and southwestern Arizona in July and August.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/5bdc74e2-ea3a-4d1d-b64e-9eaf3a879545?gtm_keyword=TEMPERATURE-HUMIDITY%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Temperature-Humidity Index" }temperature-tendency/000077500000000000000000000000001517436701200351655ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032501517436701200374720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/temperature-tendency{ "type": "Catalog", "id": "temperature-tendency", "stac_version": "1.0.0", "description": "Temperature is defined, in general, as the degree of hotness or coldness measured on some definite temperature scale by means of any of various types of thermometers. Tendency is defined as the local rate of change of a vector or scalar quantity with time at a given point in space. Because of the difficulty of measuring instantaneous variations in the atmosphere, variations are usually obtained from the differences in magnitudes over a finite period of time; and the definition of tendency is frequently broadened to include the local time variations so obtained.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/449ad1fb-8010-43c7-b994-178a049d4cff?gtm_keyword=TEMPERATURE%20TENDENCY>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/1e76ccc7-2729-4de1-8c01-f295476ebb35?gtm_keyword=TEMPERATURE%20ANOMALIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Temperature Tendency" }temperature-variability/000077500000000000000000000000001517436701200356735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027511517436701200402050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/temperature-variability{ "type": "Catalog", "id": "temperature-variability", "stac_version": "1.0.0", "description": "Climate variability refers to variations in the mean state and other statistics (such as standard deviations, the occurrence of extremes, etc.) of the�climate�on all spatial and temporal scales beyond that of individual weather events. Variability may be due to natural internal processes within the�climate system�(internal variability), or to variations in natural or�anthropogenic�external�forcing�(external variability). See also�Climate change.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7013bdc9-519d-42b6-827c-4b8013fbb726?gtm_keyword=TEMPERATURE%20VARIABILITY>m_scheme=Earth%20Science;https://www.ipcc.ch/sr15/chapter/glossary/", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Temperature Variability" }terrigenous-sediments/000077500000000000000000000000001517436701200353605ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020651517436701200376700ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/terrigenous-sediments{ "type": "Catalog", "id": "terrigenous-sediments", "stac_version": "1.0.0", "description": "Sediments composed of material derived from land sources and transported to the ocean by wind or flowing water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/31cf96eb-7fcd-490d-9e10-7f17dc12e1e3?gtm_keyword=TERRIGENOUS%20SEDIMENTS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Terrigenous Sediments" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/thawing-index/000077500000000000000000000000001517436701200336465ustar00rootroot00000000000000catalog.json000066400000000000000000000025551517436701200361030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/thawing-index{ "type": "Catalog", "id": "thawing-index", "stac_version": "1.0.0", "description": "As used by the U.S. Army Corps of Engineers, the number of Fahrenheit degree- days (above and below 32�F) between the lowest and highest points on the cumulative degree- days time curve for one thawing season. The thawing index determined from air temperatures at 4.5 ft above the ground is commonly designated the air thawing index, while that determined from temperatures immediately below a surface is called the surface thawing index.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/746c49af-3e36-4f0a-b488-e024314d6cfa?gtm_keyword=THAWING%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Thawing Index" 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"description": "Chemicals that can cause serious harm to the environment including lakes, oceans, and biota.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bf3aaf41-3502-49cf-89df-4613ce87c9c3?gtm_keyword=TOXIC%20CHEMICALS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Toxic Chemicals" }trace-elements-trace-metals/000077500000000000000000000000001517436701200363105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032351517436701200406200ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/trace-elements-trace-metals{ "type": "Catalog", "id": "trace-elements-trace-metals", "stac_version": "1.0.0", "description": "Trace elements are elements that occur in minute quantities. Trace elements can include copper, silicon, cobalt, iron, zinc, iodine, and manganese. Trace metals -Metals in extremely small quantities, almost at the molecular level, that reside in or are present in animal and plant cells and tissue.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2d36c283-2fe3-4a08-aeb3-6a8146e79bb3?gtm_keyword=TRACE%20ELEMENTS/TRACE%20METALS>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/c3c898d7-14db-4536-bd86-f8f222167195?gtm_keyword=TRACE%20ELEMENTS>m_scheme=Earth%20Science;https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/f2d6aa01-5070-4147-bae1-4b2cad2c3987?gtm_keyword=TRACE%20METALS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Trace Elements/Trace Metals" }trace-gases-trace-species/000077500000000000000000000000001517436701200357445ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023711517436701200402540ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/trace-gases-trace-species{ "type": "Catalog", "id": "trace-gases-trace-species", "stac_version": "1.0.0", "description": "Trace gases in the atmosphere that do not occur in large quantities but are significant to life on Earth or are important constituents of the chemical cycles in the atmosphere. [Journal of American Hygienist Association; v54; 639-46; 1993.] [Atmospheric Environment B; v27B; 275-82; 1993.]", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/4dd22dc9-1db4-4187-a2b7-f5b76d666055?gtm_keyword=TRACE%20GASES/TRACE%20SPECIES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Trace Gases/Trace Species" }trans-nino-index/000077500000000000000000000000001517436701200342165ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022111517436701200365170ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/trans-nino-index{ "type": "Catalog", "id": "trans-nino-index", "stac_version": "1.0.0", "description": "The timeseries is calculated from the HadISST and the NCEP OI Datasets. It is the standardized Nina 12 minus the Nina 4 with a 5 month running mean applied which is then standardized using the 1950-1979 period.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/58d71334-7fb5-4e05-85fd-9d2485854abe?gtm_keyword=TRANS-NINO%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Trans-Nino Index" }transient-tracers/000077500000000000000000000000001517436701200344715ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000027021517436701200367770ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/transient-tracers{ "type": "Catalog", "id": "transient-tracers", "stac_version": "1.0.0", "description": "Transient tracers are man-made chemical compounds released to the atmosphere at known quantities that can be used in the ocean to quantify ventilation, transit time distribution and transport time-scales. Measurement of transient tracers in the subsurface ocean thus provides information on the time-scales since the ocean was ventilated, i.e. in contact with the atmosphere. A combination of these tracers provide the means to constrain the transit time distribution (TTD) of a water-mass that allows inference of concentrations or fates of other transient compounds, such as anthropogenic carbon or nitrous oxide.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcos.wmo.int/en/essential-climate-variables/transient-tracers", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Transient Tracers" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/transmittance/000077500000000000000000000000001517436701200337545ustar00rootroot00000000000000catalog.json000066400000000000000000000021641517436701200362050ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/transmittance{ "type": "Catalog", "id": "transmittance", "stac_version": "1.0.0", "description": "A measure of the amount of radiation propagated through a given medium. Defined as the ratio of transmitted radiation to the total radiation incident upon the medium. Also known as transmissivity.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/714be1d7-2012-4a98-bdd5-02bbcadf69d8?gtm_keyword=TRANSMITTANCE>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Transmittance" }tree-line-shift/000077500000000000000000000000001517436701200340205ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000034071517436701200363310ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tree-line-shift{ "type": "Catalog", "id": "tree-line-shift", "stac_version": "1.0.0", "description": "The tree line is the edge of the habitat at which trees are capable of growing. Beyond the tree line, they are unable to grow because of inappropriate environmental conditions (usually cold temperatures or lack of moisture).[1]:51 Some distinguish additionally a deeper timberline or forest line, where trees form a forest with a closed canopy.[2]:151 At the tree line, tree growth is often very stunted, with the last trees forming low, densely matted bushes. If it is caused by wind, it is known as krummholz formation, from the German for 'twisted wood'.[3]:58 The tree line, like many other natural lines (lake boundaries, for example), appears well-defined from a distance, but upon sufficiently close inspection, it is a gradual transition in most places. Trees grow shorter towards the inhospitable climate until they simply stop growing.[3]:55", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/d11df264-e70d-456c-9223-07f34e80b352?gtm_keyword=TREE%20LINE%20SHIFT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Tree Line Shift" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tree-rings/000077500000000000000000000000001517436701200331575ustar00rootroot00000000000000catalog.json000066400000000000000000000022661517436701200354130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tree-rings{ "type": "Catalog", "id": "tree-rings", "stac_version": "1.0.0", "description": "Tree Rings, also known as annual rings or growth rings, are a sheath of cells appearing as one of a series of concentric rings in the cross-section of a woody stem. Each ring is usually the result of a single yearly growth flush starting in spring and ceasing in late summer.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/0e06e528-e796-4b7c-9878-dbcb061d878d?gtm_keyword=TREE%20RINGS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Tree Rings" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/trenches/000077500000000000000000000000001517436701200327135ustar00rootroot00000000000000catalog.json000066400000000000000000000022131517436701200351370ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/trenches{ "type": "Catalog", "id": "trenches", "stac_version": "1.0.0", "description": "Trenches are long, deep (6,000-11,000m/20,000-36,000ft), and narrow depression of the sea floor with relatively steep sides, associated with a subduction zone. The deepest of all ocean trenches, is the Mariana Trench (11,020 m/36,000 ft).", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/36040c6a-5e3a-49fe-b519-162fb77a0fd4?gtm_keyword=TRENCHES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Trenches" }tropical-north-atlantic-index/000077500000000000000000000000001517436701200366705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022031517436701200411720ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tropical-north-atlantic-index{ "type": "Catalog", "id": "tropical-north-atlantic-index", "stac_version": "1.0.0", "description": "Anomaly of the average of the monthly SST from 5.5N to 23.5N and 15W to 57.5W. GISST and NOAA OI 1x1 datasets are used to create index. Climatology is 1951-2000.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/2cde80e8-3eb1-40e7-9305-e765dc8df5e2?gtm_keyword=TROPICAL%20NORTH%20ATLANTIC%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Tropical North Atlantic Index" }tropical-northern-hemisphere-pattern/000077500000000000000000000000001517436701200402755ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000034251517436701200426060ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tropical-northern-hemisphere-pattern{ "type": "Catalog", "id": "tropical-northern-hemisphere-pattern", "stac_version": "1.0.0", "description": "The Tropical/ Northern Hemisphere pattern was first classified by Mo and Livezey (1986), and appears as a prominent mode from November-February. The pattern consists of one primary anomaly center over the Gulf of Alaska and a separate anomaly center of opposite sign over the Hudson Bay. A weaker area of anomalies having similar sign to the Gulf of Alaska anomaly extends across Mexico and the extreme southeastern United States. This pattern reflects large-scale changes in both the location and eastward extent of the Pacific jet stream, and also in the strength and position of the climatological mean Hudson Bay Low. Thus, the pattern significantly modulates the flow of marine air into North America, as well as the southward transport of cold Canadian air into the north-central United States.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/83b711e1-3fb5-4ef3-bafb-783e8239a4b5?gtm_keyword=TROPICAL/NORTHERN%20HEMISPHERE%20PATTERN>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Tropical/Northern Hemisphere Pattern" }tropical-oceanic-cloud-systems/000077500000000000000000000000001517436701200370465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000035411517436701200413560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tropical-oceanic-cloud-systems{ "type": "Catalog", "id": "tropical-oceanic-cloud-systems", "stac_version": "1.0.0", "description": "Tropical oceanic cloud systems, which are recognized as an essential component of the global climate system, are complex phenomena in geophysical flows due to the vast range of scales of motion involved and the nonlinearity of interactions among the attendant physical processes (e.g., phase changes of water, cloud-interactive radiation, turbulence and surface fluxes) . Cloud systems directly couple dynamical and hydrological processes in the atmosphere through the release of latent heat of condensation and evaporation, through precipitation, and through the vertical redistribution of sensible heat, moisture and momentum. They have an equally important effects on the large-scale radiation budget, through the reflection, absorption and emission of radiation, and the surface energy budget, through the modification of net radiative fluxes and net heat fluxes at the ocean surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/fe2e0b6f-3d7d-489a-b093-86ed0d233385?gtm_keyword=TROPICAL%20OCEANIC%20CLOUD%20SYSTEMS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Tropical Oceanic Cloud Systems" }tropical-or-extratropical-cyclone-frequency-intensity/000077500000000000000000000000001517436701200436105ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000032041517436701200461140ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/tropical-or-extratropical-cyclone-frequency-intensity{ "type": "Catalog", "id": "tropical-or-extratropical-cyclone-frequency-intensity", "stac_version": "1.0.0", "description": "Tropical cyclone frequency is the number of tropical cyclones occurring over a given time period and spatial domain. Here, we are most interested in the annual frequency over either the entire globe or individual basins, that is, particular distinct portions of the tropical oceans over which tropical cyclones occur (such as the North Atlantic, South Indian, etc.). Tropical cyclone frequency strongly controls the total hazard and risk from tropical cyclones, because no other aspect of a tropical cyclone matters if it does not occur. 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}stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-height/000077500000000000000000000000001517436701200333105ustar00rootroot00000000000000catalog.json000066400000000000000000000017411517436701200355410ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-height{ "type": "Catalog", "id": "wave-height", "stac_version": "1.0.0", "description": "Vertical distance between a wave crest and the adjacent wave troughs.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/0fc68280-1361-43e1-bc5a-40c49e9679b7?gtm_keyword=WAVE%20HEIGHT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ 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"https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/5daa972e-b47c-4050-97f1-1e628401fb97?gtm_keyword=WAVE%20LENGTH>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wave Length" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-period/000077500000000000000000000000001517436701200333225ustar00rootroot00000000000000catalog.json000066400000000000000000000017261517436701200355560ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-period{ "type": "Catalog", "id": "wave-period", "stac_version": "1.0.0", "description": "The time for successive wave crests to pass a fixed point.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/99ea6719-b751-4a4f-95d4-aaa02e961bc1?gtm_keyword=WAVE%20PERIOD>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wave Period" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-spectra/000077500000000000000000000000001517436701200335015ustar00rootroot00000000000000catalog.json000066400000000000000000000017421517436701200357330ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-spectra{ "type": "Catalog", "id": "wave-spectra", "stac_version": "1.0.0", "description": "The energy distribution of a sampling of waves per their frequency.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/e79ff727-c598-4a1c-8b4f-b6019fcf386b?gtm_keyword=WAVE%20SPECTRA>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wave Spectra" }wave-speed-direction/000077500000000000000000000000001517436701200350375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000022421517436701200373440ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-speed-direction{ "type": "Catalog", "id": "wave-speed-direction", "stac_version": "1.0.0", "description": "Wave speed: Distance a wave travels per time. Wave direction: The line along which a wave travels with respect to its compass heading. Both Wave Speed and Wave Direction may be included as Detailed Variables under Wave Speed/Direction.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/e52114b2-adbc-4e3e-9c87-1a7f245fe5ef?gtm_keyword=WAVE%20SPEED/DIRECTION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wave Speed/Direction" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-types/000077500000000000000000000000001517436701200332045ustar00rootroot00000000000000catalog.json000066400000000000000000000020201517436701200354240ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wave-types{ "type": "Catalog", "id": "wave-types", "stac_version": "1.0.0", "description": "Names of kinds of waves. Specific types may be included as Detailed Variables, e.g. capillary waves, Rossby waves, etc.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/a4f0e0d2-4bcb-4675-b874-e6e0f3a8c462?gtm_keyword=WAVE%20TYPES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wave Types" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/weathering/000077500000000000000000000000001517436701200332355ustar00rootroot00000000000000catalog.json000066400000000000000000000024001517436701200354570ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/weathering{ "type": "Catalog", "id": "weathering", "stac_version": "1.0.0", "description": "Breaking down of Earth's rocks, soils and minerals through direct contact with the planet's atmosphere. Weathering occurs in situ, or \"with no movement\", and thus should not be confused with erosion, which involves the movement of rocks and minerals by agents such as water, ice, wind, and gravity.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b07017e8-d714-45a6-b1fe-8c00230ec209?gtm_keyword=WEATHERING>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Solid Earth" }, { "id": "Land" } ] } ], "title": "Weathering" }weighted-anomaly-standardized-precipitation-index/000077500000000000000000000000001517436701200427065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000023161517436701200452150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/weighted-anomaly-standardized-precipitation-index{ "type": "Catalog", "id": "weighted-anomaly-standardized-precipitation-index", "stac_version": "1.0.0", "description": "The Weighted Anomaly Standardized Precipitation Index (WASP) index gives a standardized measure of precipitation excess or deficits over the selected accumulation period.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dc9c73a3-689c-44b5-b8fe-a5229168193e?gtm_keyword=WEIGHTED%20ANOMALY%20STANDARDIZED%20PRECIPITATION%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Weighted Anomaly Standardized Precipitation Index" }west-pacific-index/000077500000000000000000000000001517436701200345045ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000041731517436701200370160ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/west-pacific-index{ "type": "Catalog", "id": "west-pacific-index", "stac_version": "1.0.0", "description": "The WP pattern is a primary mode of low-frequency variability over the North Pacific in all months, and has been previously described by both Barnston and Livezey (1987) and Wallace and Gutzler (1981). During winter and spring, the pattern consists of a north-south dipole of anomalies, with one center located over the Kamchatka Peninsula and another broad center of opposite sign covering portions of southeastern Asia and the low latitudes of the extreme western North Pacific. Therefore, strong positive or negative phases of this pattern reflect pronounced zonal and meridional variations in the location and intensity of the entrance region of the Pacific (or East Asian) jet steam. In the summer and fall, the WP pattern becomes increasingly wave-like, and a third prominent center appears over Alaska and the Beaufort Sea, with a sign opposite to the center over the western North Pacific. This wave structure is most evident in the Fall, when it extends downstream along a quasi great-circle route into the western United States. The time series of the WP pattern indicates considerable intermonthly and interannual variability, and persistence of a particular phase of the pattern is relatively common.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/bdb6eafa-f4e1-4536-b513-4c787f829722?gtm_keyword=WEST%20PACIFIC%20INDEX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "West Pacific Index" }western-hemisphere-warm-pool/000077500000000000000000000000001517436701200365525ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021451517436701200410610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/western-hemisphere-warm-pool{ "type": "Catalog", "id": "western-hemisphere-warm-pool", "stac_version": "1.0.0", "description": "Monthly anomaly of the ocean surface area warmer than 28.5�C in the Atlantic and eastern North Pacific. Climatology is 1951-2000.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/309d2897-c74b-4de6-96fc-751a6935d549?gtm_keyword=WESTERN%20HEMISPHERE%20WARM%20POOL>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Western Hemisphere Warm Pool" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wetlands/000077500000000000000000000000001517436701200327215ustar00rootroot00000000000000catalog.json000066400000000000000000000021531517436701200351500ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wetlands{ "type": "Catalog", "id": "wetlands", "stac_version": "1.0.0", "description": "Land consisting of marshes or swamps; saturated land.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/7da95c01-4b39-437e-a8d4-fd572e43f693?gtm_keyword=WETLANDS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/b72c49a1-8276-4753-8c88-894bc7bbf60d?gtm_keyword=WETLANDS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Wetlands" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/whiteout/000077500000000000000000000000001517436701200327505ustar00rootroot00000000000000catalog.json000066400000000000000000000022051517436701200351750ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/whiteout{ "type": "Catalog", "id": "whiteout", "stac_version": "1.0.0", "description": "Pertaining to the occurence, extent, and severity of whiteout conditions.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/067004b9-1628-4c00-8bfb-28f910b68d59?gtm_keyword=WHITEOUT>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/06741402-492e-4cda-926b-8897b15450e7?gtm_keyword=WHITEOUT>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Cryosphere" } ] } ], "title": "Whiteout" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-chill/000077500000000000000000000000001517436701200331325ustar00rootroot00000000000000catalog.json000066400000000000000000000020271517436701200353610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-chill{ "type": "Catalog", "id": "wind-chill", "stac_version": "1.0.0", "description": "A figure used to express the cooling effect of the combination of particular temperatures and air speed on exposed human skin.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/d571e1f5-7449-4052-943b-94d76f762677?gtm_keyword=WIND%20CHILL>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wind Chill" }wind-driven-circulation/000077500000000000000000000000001517436701200355615ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000020301517436701200400610ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-driven-circulation{ "type": "Catalog", "id": "wind-driven-circulation", "stac_version": "1.0.0", "description": "The surface currents that form from the transfer of energy from winds to surface waters.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all/03fbea0a-74b9-4c78-8752-a588cff27f17?gtm_keyword=WIND-DRIVEN%20CIRCULATION>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wind-Driven Circulation" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-profiles/000077500000000000000000000000001517436701200336625ustar00rootroot00000000000000catalog.json000066400000000000000000000021201517436701200361030ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-profiles{ "type": "Catalog", "id": "wind-profiles", "stac_version": "1.0.0", "description": "The vertical (or horizontal) representation of the distribution of winds, usually measured by remote sensing satellites and aircraft or wind profiling radars.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/dcc6cbbf-23a0-4ae7-bfbd-6207d35c741f?gtm_keyword=WIND%20PROFILES>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Wind Profiles" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-shear/000077500000000000000000000000001517436701200331415ustar00rootroot00000000000000catalog.json000066400000000000000000000020601517436701200353650ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-shear{ "type": "Catalog", "id": "wind-shear", "stac_version": "1.0.0", "description": "The local variation of the wind vector or any of its components in a given direction.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/05cf5b56-0f86-4819-b713-1272b97b06c5?gtm_keyword=WIND%20SHEAR>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Cryosphere" } ] } ], "title": "Wind Shear" }wind-speed-tendency/000077500000000000000000000000001517436701200346675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variablescatalog.json000066400000000000000000000021151517436701200371730ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-speed-tendency{ "type": "Catalog", "id": "wind-speed-tendency", "stac_version": "1.0.0", "description": "The character and amount of atmospheric wind speed change for a three-hour or other specified period ending at the time of observation.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/69526601-5607-46e0-954a-251249de80fe?gtm_keyword=WIND%20SPEED%20TENDENCY>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" } ] } ], "title": "Wind Speed Tendency" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-stress/000077500000000000000000000000001517436701200333625ustar00rootroot00000000000000catalog.json000066400000000000000000000023611517436701200356120ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-stress{ "type": "Catalog", "id": "wind-stress", "stac_version": "1.0.0", "description": "The drag or tangential foce per unit area exerted upon the earth's surface by moving air in the surface boundary layer.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/91d73256-925d-4d04-9b55-aaf088080cac?gtm_keyword=WIND%20STRESS>m_scheme=Earth%20Science; https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ef034881-8bf4-403f-a4ee-c68771769c93?gtm_keyword=WIND%20STRESS>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Atmosphere" }, { "id": "Oceans" } ] } ], "title": "Wind Stress" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-waves/000077500000000000000000000000001517436701200331645ustar00rootroot00000000000000catalog.json000066400000000000000000000016331517436701200354150ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/wind-waves{ "type": "Catalog", "id": "wind-waves", "stac_version": "1.0.0", "description": "A wave formed by transfer of wind energy into water.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/all?gtm_search=Wind%20Waves>m_scheme=all", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Oceans" } ] } ], "title": "Wind Waves" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/x-ray-flux/000077500000000000000000000000001517436701200331145ustar00rootroot00000000000000catalog.json000066400000000000000000000017561517436701200353530ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/x-ray-flux{ "type": "Catalog", "id": "x-ray-flux", "stac_version": "1.0.0", "description": "The rate of flow of x-rays through a reference surface.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/8686285f-9949-4a22-ad80-a1bf4d43e122?gtm_keyword=X-RAY%20FLUX>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Magnetosphere_Ionosphere" } ] } ], "title": "X-Ray Flux" }stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/zooplankton/000077500000000000000000000000001517436701200334565ustar00rootroot00000000000000catalog.json000066400000000000000000000021701517436701200357040ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/local_cat/open-science-catalog-testing/variables/zooplankton{ "type": "Catalog", "id": "zooplankton", "stac_version": "1.0.0", "description": "Zooplankton is the animal portion of the plankton; the animal community in marine and freshwater situations that floats free in the water, independent of the shore and the bottom, moving passively with the currents.", "links": [ { "rel": "root", "href": "../../catalog.json", "type": "application/json", "title": "Open Science Catalog" }, { "rel": "via", "href": "https://gcmd.earthdata.nasa.gov/KeywordViewer/scheme/Earth%20Science/ca8d77f2-9257-4298-9244-e81cd890f000?gtm_keyword=PLANKTON>m_scheme=Earth%20Science", "type": "text/html", "title": "Description" }, { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Variables" } ], "stac_extensions": [ "https://stac-extensions.github.io/themes/v1.0.0/schema.json" ], "themes": [ { "scheme": "https://github.com/stac-extensions/osc#theme", "concepts": [ { "id": "Land" } ] } ], "title": "Zooplankton" }stac-validator-4.2.2/tests/test_data/schema/000077500000000000000000000000001517436701200210145ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/schema/v0.9.0/000077500000000000000000000000001517436701200216465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/schema/v0.9.0/catalog.json000066400000000000000000000045011517436701200241530ustar00rootroot00000000000000{ "$id": "catalog.json#", "$schema": "http://json-schema.org/draft-07/schema#", "allOf": [ { "$ref": "#/definitions/catalog" } ], "definitions": { "catalog": { "properties": { "description": { "title": "Description", "type": "string" }, "id": { "title": "Identifier", "type": "string" }, "links": { "items": { "$ref": "#/definitions/link" }, "title": "Links", "type": "array" }, "stac_extensions": { "items": { "type": "string" }, "title": "STAC extensions", "type": "array", "uniqueItems": true }, "stac_version": { "const": "0.9.0", "title": "STAC version", "type": "string" }, "title": { "title": "Title", "type": "string" } }, "required": [ "stac_version", "id", "description", "links" ], "title": "Catalog", "type": "object" }, "link": { "properties": { "href": { "title": "Link reference", "type": "string" }, "rel": { "title": "Link relation type", "type": "string" }, "title": { "title": "Link title", "type": "string" }, "type": { "title": "Link type", "type": "string" } }, "required": [ "rel", "href" ], "type": "object" } }, "description": "This object represents Catalogs in a SpatioTemporal Asset Catalog.", "title": "STAC Catalog Specification" }stac-validator-4.2.2/tests/test_data/schema/v0.9.0/eo.json000066400000000000000000000043161517436701200231500ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "eo.json#", "title": "EO Extension", "description": "STAC EO Extension to a STAC Item.", "allOf": [ { "$ref": "#/definitions/eo" } ], "definitions": { "eo": { "type": "object", "required": [ "properties", "assets" ], "properties": { "properties": { "type": "object", "required": [ "eo:gsd", "eo:bands" ], "properties": { "eo:gsd": { "title": "Ground Sample Distance", "type": "number" }, "eo:bands": { "title": "Bands", "type": "array", "items": { "properties": { "name": { "title": "Name of the band", "type": "string" }, "common_name": { "title": "Common Name of the band", "type": "string" }, "center_wavelength": { "title": "Center Wavelength", "type": "number" }, "full_width_half_max": { "title": "Full Width Half Max (FWHM)", "type": "number" } } } }, "eo:cloud_cover": { "title": "Cloud Cover", "type": "number", "minimum": 0, "maximum": 100 } } }, "assets": { "type": "object", "additionalProperties": { "type": "object", "properties": { "eo:bands": { "title": "Band References", "type": "array", "minItems": 1, "items": { "type": "integer", "minimum": 0 } } } } } } } } }stac-validator-4.2.2/tests/test_data/schema/v1.0.0/000077500000000000000000000000001517436701200216365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/schema/v1.0.0/item_with_unreachable_url.json000066400000000000000000000161651517436701200277460ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json#", "title": "STAC Item", "type": "object", "description": "This object represents the metadata for an item in a SpatioTemporal Asset Catalog.", "allOf": [ { "$ref": "#/definitions/core" } ], "definitions": { "common_metadata": { "allOf": [ { "$ref": "basics.json" }, { "$ref": "datetime.json" }, { "$ref": "instrument.json" }, { "$ref": "licensing.json" }, { "$ref": "provider.json" } ] }, "core": { "allOf": [ { "$ref": "https://geojson-wrong-url.org/schema/Feature.json" }, { "oneOf": [ { "type": "object", "required": [ "geometry", "bbox" ], "properties": { "geometry": { "$ref": "https://geojson-wrong-url.org/schema/Geometry.json" }, "bbox": { "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } } } }, { "type": "object", "required": [ "geometry" ], "properties": { "geometry": { "type": "null" }, "bbox": { "not": {} } } } ] }, { "type": "object", "required": [ "stac_version", "id", "links", "assets", "properties" ], "properties": { "stac_version": { "title": "STAC version", "type": "string", "const": "1.0.0" }, "stac_extensions": { "title": "STAC extensions", "type": "array", "uniqueItems": true, "items": { "title": "Reference to a JSON Schema", "type": "string", "format": "iri" } }, "id": { "title": "Provider ID", "description": "Provider item ID", "type": "string", "minLength": 1 }, "links": { "title": "Item links", "description": "Links to item relations", "type": "array", "items": { "$ref": "#/definitions/link" } }, "assets": { "$ref": "#/definitions/assets" }, "properties": { "allOf": [ { "$ref": "#/definitions/common_metadata" }, { "anyOf": [ { "required": [ "datetime" ], "properties": { "datetime": { "not": { "type": "null" } } } }, { "required": [ "datetime", "start_datetime", "end_datetime" ] } ] } ] } }, "if": { "properties": { "links": { "contains": { "required": [ "rel" ], "properties": { "rel": { "const": "collection" } } } } } }, "then": { "required": [ "collection" ], "properties": { "collection": { "title": "Collection ID", "description": "The ID of the STAC Collection this Item references to.", "type": "string", "minLength": 1 } } }, "else": { "properties": { "collection": { "not": {} } } } } ] }, "link": { "type": "object", "required": [ "rel", "href" ], "properties": { "href": { "title": "Link reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "rel": { "title": "Link relation type", "type": "string", "minLength": 1 }, "type": { "title": "Link type", "type": "string" }, "title": { "title": "Link title", "type": "string" } } }, "assets": { "title": "Asset links", "description": "Links to assets", "type": "object", "additionalProperties": { "$ref": "#/definitions/asset" } }, "asset": { "allOf": [ { "type": "object", "required": [ "href" ], "properties": { "href": { "title": "Asset reference", "type": "string", "format": "iri-reference", "minLength": 1 }, "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } }, { "$ref": "#/definitions/common_metadata" } ] } } } stac-validator-4.2.2/tests/test_data/schema/v1.0.0/projection.json000066400000000000000000000114361517436701200247120ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "projection.json", "title": "Projection Extension", "description": "STAC Projection Extension for STAC Items.", "oneOf": [ { "$comment": "This is the schema for STAC Items.", "allOf": [ { "type": "object", "required": [ "type", "properties", "assets" ], "properties": { "type": { "const": "Feature" }, "properties": { "allOf": [ { "$comment": "Require fields here for item properties.", "required": [ "proj:epsg" ] }, { "$ref": "#/definitions/fields" } ] }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] }, { "$comment": "This is the schema for STAC Collections.", "allOf": [ { "type": "object", "required": [ "type" ], "properties": { "type": { "const": "Collection" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array" } } }, "fields": { "$comment": "Add your new fields here. Don't require them here, do that above in the item schema.", "type": "object", "properties": { "proj:epsg": { "title": "EPSG code", "type": [ "integer", "null" ] }, "proj:wkt2": { "title": "Coordinate Reference System in WKT2 format", "type": [ "string", "null" ] }, "proj:projjson": { "title": "Coordinate Reference System in PROJJSON format", "oneOf": [ { "$ref": "https://proj.org/schemas/v0.2/projjson.schema.json" }, { "type": "null" } ] }, "proj:geometry": { "$ref": "https://geojson.org/schema/Geometry.json" }, "proj:bbox": { "title": "Extent", "type": "array", "oneOf": [ { "minItems": 4, "maxItems": 4 }, { "minItems": 6, "maxItems": 6 } ], "items": { "type": "number" } }, "proj:centroid": { "title": "Centroid", "type": "object", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "minimum": -90, "maximum": 90 }, "lon": { "type": "number", "minimum": -180, "maximum": 180 } } }, "proj:shape": { "title": "Shape", "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": "integer" } }, "proj:transform": { "title": "Transform", "type": "array", "oneOf": [ { "minItems": 6, "maxItems": 6 }, { "minItems": 9, "maxItems": 9 } ], "items": { "type": "number" } } }, "patternProperties": { "^(?!proj:)": {} }, "additionalProperties": false } } }stac-validator-4.2.2/tests/test_data/v080/000077500000000000000000000000001517436701200202515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v080/catalogs/000077500000000000000000000000001517436701200220465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v080/catalogs/catalog.json000077500000000000000000000002661517436701200243620ustar00rootroot00000000000000{ "stac_version": "0.8.0", "id": "sample", "description": "This is a very basic sample catalog.", "links": [ { "href": "item.json", "rel": "item" } ] } stac-validator-4.2.2/tests/test_data/v080/catalogs/summaries-s2.json000077500000000000000000000104341517436701200252750ustar00rootroot00000000000000{ "stac_version": "0.8.0", "id": "summaries-s2", "title": "S2 Summary", "description": "This is a *sample* Sentinel-2 catalog with summaries.", "summaries": { "datetime": { "min": "2015-06-23T00:00:00Z", "max": "2019-07-10T13:44:56Z" }, "license": ["CC-BY-4.0","proprietary"], "sci:citation": ["Copernicus Sentinel data [Year]"], "eo:gsd": [10,30,60], "eo:platform": ["sentinel-2a","sentinel-2b"], "eo:constellation": ["sentinel-2"], "eo:instrument": ["msi"], "eo:off_nadir": { "min": 0.0, "max": 100 }, "eo:sun_elevation": { "min": 6.78, "max": 89.9 }, "eo:epsg": [32601,32602,32603,32604,32605,32606,32607,32608,32609,32610,32611,32612,32613,32614,32615,32616,32617,32618,32619,32620,32621,32622,32623,32624,32625,32626,32627,32628,32629,32630,32631,32632,32633,32634,32635,32636,32637,32638,32639,32640,32641,32642,32643,32644,32645,32646,32647,32648,32649,32650,32651,32652,32653,32654,32655,32656,32657,32658,32659,32660], "eo:bands": [ [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439, "gsd": 60 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966, "gsd": 10 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6, "gsd": 10 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645, "gsd": 10 }, { "name": "B5", "center_wavelength": 7.039, "gsd": 20 }, { "name": "B6", "center_wavelength": 7.402, "gsd": 20 }, { "name": "B7", "center_wavelength": 7.825, "gsd": 20 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351, "gsd": 10 }, { "name": "B8A", "center_wavelength": 8.648, "gsd": 20 }, { "name": "B9", "center_wavelength": 9.45, "gsd": 60 }, { "name": "B10", "center_wavelength": 1.3735, "gsd": 60 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137, "gsd": 20 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024, "gsd": 20 } ] ], "cube:dimensions": [ { "x": { "type": "spatial", "axis": "x", "extent": [-180,180] }, "y": { "type": "spatial", "axis": "y", "extent": [-56,83] }, "temporal": { "type": "temporal", "extent": ["2015-06-23T00:00:00Z","2019-07-10T13:44:56Z"] }, "spectral": { "type": "bands", "values": ["B1","B9","B10"] } }, { "x": { "type": "spatial", "axis": "x", "extent": [-180,180] }, "y": { "type": "spatial", "axis": "y", "extent": [-56,83] }, "temporal": { "type": "temporal", "extent": ["2015-06-23T00:00:00Z","2019-07-10T13:44:56Z"] }, "spectral": { "type": "bands", "values": ["B2","B3","B4","B8"] } }, { "x": { "type": "spatial", "axis": "x", "extent": [-180,180] }, "y": { "type": "spatial", "axis": "y", "extent": [-56,83] }, "temporal": { "type": "temporal", "extent": ["2015-06-23T00:00:00Z","2019-07-10T13:44:56Z"] }, "spectral": { "type": "bands", "values": ["B5","B6","B7","B8A","B11","B12"] } } ] }, "links": [ { "href": "item.json", "rel": "item" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Sentinel Data Terms and Conditions" } ] } stac-validator-4.2.2/tests/test_data/v080/collections/000077500000000000000000000000001517436701200225675ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v080/collections/landsat-collection.json000077500000000000000000000073251517436701200272530ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [], "id": "landsat-8-l1", "title": "Landsat 8 L1", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "keywords": [ "landsat" ], "version": "0.1.0", "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2013-06-01T00:00:00Z", null ] ] } }, "providers": [ { "name": "USGS", "url": "https://landsat.usgs.gov/", "roles": [ "producer", "licensor" ] }, { "name": "Planet Labs", "url": "https://github.com/landsat-pds/landsat_ingestor", "roles": [ "processor" ] }, { "name": "AWS", "url": "https://landsatonaws.com/", "roles": [ "host" ] }, { "name": "Development Seed", "url": "https://developmentseed.org/", "roles": ["processor"] } ], "license": "PDDL-1.0", "properties": { "eo:gsd": 30, "eo:platform": "landsat-8", "eo:instrument": "oli_tirs", "eo:off_nadir": 0, "eo:bands": [ { "name": "B1", "common_name": "coastal", "gsd": 30, "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "gsd": 30, "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "gsd": 30, "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "name": "B4", "common_name": "red", "gsd": 30, "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "name": "B5", "common_name": "nir", "gsd": 30, "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "name": "B6", "common_name": "swir16", "gsd": 30, "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "name": "B7", "common_name": "swir22", "gsd": 30, "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "name": "B8", "common_name": "pan", "gsd": 15, "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "name": "B9", "common_name": "cirrus", "gsd": 30, "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "name": "B10", "common_name": "lwir11", "gsd": 100, "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "name": "B11", "common_name": "lwir12", "gsd": 100, "center_wavelength": 12, "full_width_half_max": 1 } ] }, "links": [ { "rel": "self", "href": "https://example.com/stac/collections/landsat-8-l1" }, { "rel": "parent", "href": "https://example.com/stac" }, { "rel": "root", "href": "https://example.com/stac" }, { "rel": "child", "href": "https://example.com/stac/collections/landsat-8-l1/items" } ] }stac-validator-4.2.2/tests/test_data/v080/collections/landsat-item.json000077500000000000000000000146531517436701200260600ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [ "eo", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "collection": "landsat-8-l1", "properties": { "datetime": "2018-10-01T01:08:32.033Z", "eo:cloud_cover": 78, "eo:sun_azimuth": 168.8989761, "eo:sun_elevation": 26.32596431, "landsat:path": 107, "landsat:row": 18 }, "assets": { "ANG": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_ANG.txt", "title": "Angle coefficients file", "type": "text/plain" }, "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)" }, "B2": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 1 ], "title": "Band 2 (blue)" }, "B3": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 2 ], "title": "Band 3 (green)" }, "B4": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 3 ], "title": "Band 4 (red)" }, "B5": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B5.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 4 ], "title": "Band 5 (nir)" }, "B6": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B6.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 5 ], "title": "Band 6 (swir16)" }, "B7": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B7.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 6 ], "title": "Band 7 (swir22)" }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B8.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 7 ], "title": "Band 8 (pan)" }, "B9": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B9.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 8 ], "title": "Band 9 (cirrus)" }, "B10": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B10.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 9 ], "title": "Band 10 (lwir)" }, "B11": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B11.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 10 ], "title": "Band 11 (lwir)" }, "BQA": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_BQA.TIF", "title": "Band quality data", "type": "image/tiff; application=geotiff" }, "MTL": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_MTL.txt", "title": "original metadata file", "type": "text/plain" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "self", "href": "https:///stac/search?id=LC08_L1TP_107018_20181001_20181001_01_RT" }, { "rel": "parent", "href": "https:///stac/collections/landsat-8-l1" }, { "rel": "root", "href": "https:///stac" } ] }stac-validator-4.2.2/tests/test_data/v080/collections/sentinel2.json000077500000000000000000000124241517436701200253730ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [], "id": "COPERNICUS/S2", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "summaries": { "datetime": { "min": "2015-06-23T00:00:00Z", "max": "2019-07-10T13:44:56Z" }, "license": ["proprietary"], "sci:citation": ["Copernicus Sentinel data [Year]"], "eo:gsd": [10,30,60], "eo:platform": ["sentinel-2a","sentinel-2b"], "eo:constellation": ["sentinel-2"], "eo:instrument": ["msi"], "eo:off_nadir": { "min": 0.0, "max": 100 }, "eo:sun_elevation": { "min": 6.78, "max": 89.9 }, "eo:epsg": [32601,32602,32603,32604,32605,32606,32607,32608,32609,32610,32611,32612,32613,32614,32615,32616,32617,32618,32619,32620,32621,32622,32623,32624,32625,32626,32627,32628,32629,32630,32631,32632,32633,32634,32635,32636,32637,32638,32639,32640,32641,32642,32643,32644,32645,32646,32647,32648,32649,32650,32651,32652,32653,32654,32655,32656,32657,32658,32659,32660], "eo:bands": [ [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439, "gsd": 60 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966, "gsd": 10 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6, "gsd": 10 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645, "gsd": 10 }, { "name": "B5", "center_wavelength": 7.039, "gsd": 20 }, { "name": "B6", "center_wavelength": 7.402, "gsd": 20 }, { "name": "B7", "center_wavelength": 7.825, "gsd": 20 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351, "gsd": 10 }, { "name": "B8A", "center_wavelength": 8.648, "gsd": 20 }, { "name": "B9", "center_wavelength": 9.45, "gsd": 60 }, { "name": "B10", "center_wavelength": 1.3735, "gsd": 60 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137, "gsd": 20 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024, "gsd": 20 } ] ] }, "links": [ { "rel": "self", "href": "https://storage.cloud.google.com/earthengine-test/catalog/COPERNICUS_S2.json" }, { "rel": "parent", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "root", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] }stac-validator-4.2.2/tests/test_data/v080/items/000077500000000000000000000000001517436701200213725ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v080/items/CBERS_4_MUX_20181029_177_106_L4.json000077500000000000000000000055171517436701200264230ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [ "eo", "https://example.com/stac/cbers-extension/1.0/schema.json" ], "id": "CBERS_4_MUX_20181029_177_106_L4", "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -64.800142, -5.815918 ], [ -63.719133, -5.979677 ], [ -63.488049, -4.915594 ], [ -64.566931, -4.752172 ], [ -64.800142, -5.815918 ] ] ] ] }, "bbox": [ -64.803413, -5.985958, -63.485124, -4.731829 ], "properties": { "datetime": "2018-10-29T14:24:54Z", "eo:sun_azimuth": 111.113, "eo:sun_elevation": 65.8018, "eo:off_nadir": -0.00751271, "eo:epsg": 32763, "cbers:data_type": "L4", "cbers:path": 177, "cbers:row": 106 }, "collection": "CBERS_4_MUX", "links": [ { "rel": "self", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4.json" }, { "rel": "parent", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/catalog.json" }, { "rel": "collection", "href": "https://cbers-stac-0-6.s3.amazonaws.com/collections/CBERS_4_MUX_collection.json" } ], "assets": { "thumbnail": { "href": "https://s3.amazonaws.com/cbers-meta-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106.jpg", "type": "image/jpeg" }, "metadata": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.xml", "title": "INPE original metadata", "type": "text/xml" }, "B5": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND5.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 0 ] }, "B6": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 1 ] }, "B7": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND7.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 2 ] }, "B8": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND8.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 3 ] } } }stac-validator-4.2.2/tests/test_data/v080/items/README.md000077500000000000000000000105521517436701200226570ustar00rootroot00000000000000# STAC Item Examples ## Overview This directory contains a number of samples and more 'real world' examples of how a STAC Item could be implemented. As of right now none of these are actual production implementations - they are more adaptations of current catalogs to the STAC specifications. In time these will evolve to be examples of truly real world implementations. This document also contains discussion of the various examples in this folder. ## In this directory ### Item Examples **[sample.json](examples/sample.json)** is the most minimal possible compliant Item record. Most all data will include additional fields, as STAC is designed to be a minimal common subset. But it is useful for showing exactly what is required. **[sample-full.json](examples/sample-full.json)** is a more realistic example, for a hypothetical analytic image acquisition from a satellite company called 'cool sat'. It includes additional fields, including some from the Earth Observation extension, as well as some vendor specific additions. It also links to a variety of assets that is typical for satellite imagery, as most providers include a number of complementary files. **DigitalGlobe** The [DigitalGlobe sample](digitalglobe-sample.json) is taken from the proposed DigitalGlobe static catalog [pull request](https://github.com/radiantearth/stac-spec/pull/33), with minor field updates to validate against the the item specification. **Landsat8** The [Landsat8 sample](landsat8-sample.json) is meant to be an example of how an S3-based catalog like the [Landsat on AWS](https://landsatonaws.com/) public data set could be a STAC static catalog. It includes the 'collection' concept, which is explained more in the [/extensions/examples/ folder](../extensions/examples/). **Planet** The [Planet sample](planet-sample.json) is an adaption of Planet's [Data API](https://www.planet.com/docs/reference/data-api/) returned JSON, with minor tweaks to have it fit in to a STAC Item. **CBERS** The [CBERS sample](CBERS_4_MUX_20181029_177_106_L4.json) is copied from [CBERS static STAC catalog](https://cbers-stac-0-6.s3.amazonaws.com/catalog.json). ### ItemCollection Examples **[itemcollection-sample-minimal.json](itemcollection-sample-minimal.json)** is the most minimal possible compliant ItemCollection entity. Most all data will include additional fields, as STAC is designed to be a minimal common subset. But it is useful for showing exactly what is required. **[itemcollection-sample-full.json](itemcollection-sample-full.json)** is a more realistic example. ## Example Discussion These examples demonstrate that there is a range of potential implementations of STAC Items. Most were made by adapting the current implementations as minimally as possible. The hope is that there will emerge more consensus and best practices on the things outside of the core fields, to increase interoperability. ### Static Catalogs vs Catalog APIs The Planet example is likely the least 'static' of the examples, as it was taken from Planet's Data API and just added on a few fields. DigitalGlobe's made a bit more changes to make it static, but still has that lineage. Landsat8 is primarily made thinking about how they are laid out on Amazon Web Services. Catalog API's will tend to have more absolute links, while the static examples tend more towards relative links, representing actual files that are next to them. Planet's API shows a set of 'activation' assets that present a workflow to enable the data to be downloaded. This is not a desired end-state - ideally the data is more readily available in a Catalog API, or at least has a better workflow - but it shows how the asset field can be adapted. ### Asset definition Currently the additional metadata on assets is quite minimal - only a link is required. 'title' and 'type' are the only other specified fields. ### Permissions The Planet example has some small bits about 'permissions'. The DigitalGlobe catalog would have similar concerns. The core idea would be that assets should provide links to the data, even if a user doesn't have permissions to actually access the data. ### Prefixes The Landsat example shows an idea of using 'prefixes' like *eo:* or *l8:* to help differentiate metadata fields that would be validated by different schemas. EO could be a shared earth observation schema. Using prefixes could also help point the way towards JSON-LD type validation. stac-validator-4.2.2/tests/test_data/v080/items/digitalglobe-sample.json000077500000000000000000000044731517436701200262050ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [ "eo" ], "id": "103001004B316600_P002_MUL", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ -105.160846396, 39.1656009422 ], [ -104.947574355, 39.1750024943 ], [ -104.949890373, 39.0512153242 ], [ -105.161151214, 39.0436821016 ], [ -105.160846396, 39.1656009422 ] ] ] }, "assets": { "multispectral_image": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIF" }, "imd": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.IMD" }, "imd_xml": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.XML" }, "til": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIL" }, "att": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.ATT" }, "eph": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.EPH" }, "geo": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.GEO" }, "rpb": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.RPB" }, "thumbnail": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.JPG" } }, "properties": { "dg:feature_type": [ "GBDXCatalogRecord", "WV02", "DigitalGlobeProduct", "1BProduct" ], "eo:sun_azimuth": 168.7, "eo:cloud_cover": 50, "eo:off_nadir": 18.4, "eo:azimuth": 34.5, "eo:platform": "worldview02", "eo:sun_elevation": 33.4, "eo:gsd": 2.047, "eo:epsg": null, "dg:catalog_id": "103001004B316600", "dg:soli": "056823192", "dg:part": 2, "dg:platform": "worldview02", "dg:product_level": "LV1B", "dg:product": "worldview02_lv1b", "datetime": "2015-11-09T18:04:46.000Z" }, "collection": "dg_worldview02", "links": [ { "rel": "self", "href": "https://s3.amazonaws.com/digitalglobe-catalog-spec/collections/dg_worldview02_lv1b/103001004B316600_P002_MUL" }, { "rel": "collection", "href": "https://s3.amazonaws.com/digitalglobe-catalog-spec/collections/dg_worldview02_lv1b.json" } ] } stac-validator-4.2.2/tests/test_data/v080/items/itemcollection-sample-full.json000077500000000000000000000040171517436701200275230ustar00rootroot00000000000000{ "type": "FeatureCollection", "features": [ { "stac_version": "0.8.0", "stac_extensions": [], "type": "Feature", "id": "CS3-20160503_132131_05", "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.288048600, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "properties": { "datetime": "2016-05-03T13:22:30.040Z", "title": "A CS3 item", "license": "PDDL-1.0", "providers": [ { "name": "CoolSat", "roles": [ "producer", "licensor" ], "url": "https://cool-sat.com/" } ] }, "collection": "CS3", "links": [ { "rel": "self", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.json" }, { "rel": "collection", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/catalog.json" } ], "assets": { "analytic": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/analytic.tif", "title": "4-Band Analytic", "product": "http://cool-sat.com/catalog/products/analytic.json" }, "thumbnail": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/thumbnail.png", "title": "Thumbnail" } } } ], "links": [ { "rel": "self", "href": "http://stac.example.com/stac/search?collection=CS3" } ] }stac-validator-4.2.2/tests/test_data/v080/items/itemcollection-sample-minimal.json000077500000000000000000000000631517436701200302040ustar00rootroot00000000000000{ "type": "FeatureCollection", "features": [] }stac-validator-4.2.2/tests/test_data/v080/items/landsat8-sample.json000077500000000000000000000104661517436701200252740ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [ "eo", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "id": "LC81530252014153LGN00", "type": "Feature", "bbox": [ 49.16354,72.27502,51.36812,75.67662 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 51.33855, 72.27502 ], [ 51.36812, 75.70821 ], [ 49.19092, 75.67662 ], [ 49.16354, 72.39640 ], [ 51.33855, 72.27502 ] ] ] }, "properties": { "datetime": "2014-06-02T09:22:02Z", "collection": "L1T", "eo:gsd": 30.0, "eo:cloud_cover" : 10, "eo:off_nadir" : 0.000, "eo:azimuth": 0.00, "eo:sun_azimuth" : 149.01607154, "eo:sun_elevation" : 59.21424700, "landsat:wrs_path": 153, "landsat:wrs_row": 25, "landsat:earth_sun_distance": 1.0141560, "landsat:ground_control_points_verify": 114, "landsat:geometric_rmse_model": 7.562, "landsat:image_quality_tirs": 9, "landsat:ground_control_points_model": 313, "landsat:geometric_rmse_model_x": 5.96, "landsat:geometric_rmse_model_y": 4.654, "landsat:geometric_rmse_verify": 5.364, "landsat:image_quality_oli": 9 }, "links": [ { "rel":"self", "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00.json"}, { "rel":"alternate", "href": "https://landsatonaws.com/L8/153/025/LC81530252014153LGN00", "type": "text/html"}, { "rel":"root", "href": "http://landsat-pds.s3.amazonaws.com/L8/L1T-collection.json"}, { "rel":"collection", "href": "http://landsat-pds.s3.amazonaws.com/L8/L1T-collection.json"} ], "assets" :{ "thumbnail": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_thumb_large.jpg", "type": "image/jpeg" }, "metadata": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_MTL.txt", "type": "mtl" }, "B1": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [0] }, "B2": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B2.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [1] }, "B3": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B3.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [2] }, "B4": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B4.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [3] }, "B5": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B5.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [4] }, "B6": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B6.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [5] }, "B7": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B7.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [6] }, "B8": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B8.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [7] }, "B9": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B9.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [8] }, "B10": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B10.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [9] }, "B11": { "href": "http://landsat-pds.s3.amazonaws.com/L8/153/025/LC81530252014153LGN00/LC81530252014153LGN00_B11.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [10] } } } stac-validator-4.2.2/tests/test_data/v080/items/planet-sample.json000077500000000000000000000111771517436701200250410ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [ "eo", "https://example.planet.com/stac/1.0/schema.json" ], "links": [ { "rel":"self", "href": "https://api.planet.com/data/v1/item-types/PSScene4Band/items/20171110_121030_1013"}, { "rel":"full-assets", "href": "https://api.planet.com/data/v1/item-types/PSScene4Band/items/20171110_121030_1013/assets/"} ], "bbox": [ -38.9237469532665, -13.169235186077524, -38.671635567195025, -13.048292073058748 ], "geometry": { "coordinates": [ [ [ -38.92116702540037, -13.110092317731418 ], [ -38.9112864728743, -13.062487360866074 ], [ -38.9110789705375, -13.062527998574287 ], [ -38.908213551271224, -13.048292073058748 ], [ -38.671635567195025, -13.094581158659716 ], [ -38.67642080836562, -13.118491623177688 ], [ -38.68693656624613, -13.169235186077524 ], [ -38.9237469532665, -13.122881179500025 ], [ -38.92116702540037, -13.110092317731418 ] ] ], "type": "Polygon" }, "id": "20171110_121030_1013", "properties": { "datetime": "2017-11-10T12:10:30.535417Z", "eo:cloud_cover": 23, "eo:gsd": 3.7, "eo:sun_azimuth": 101.8, "eo:sun_elevation": 58.8, "eo:off_nadir": 1, "pl:acquired": "2017-11-10T12:10:30.535417Z", "pl:anomalous_pixels": 0.14, "pl:columns": 9111, "pl:epsg_code": 32724, "pl:ground_control": true, "pl:instrument": "PS2", "pl:item_type": "PSScene4Band", "pl:origin_x": 508263, "pl:origin_y": 8557524, "pl:pixel_resolution": 3, "pl:provider": "planetscope", "pl:published": "2017-11-10T16:11:38Z", "pl:quality_category": "standard", "pl:rows": 4466, "pl:satellite_id": "1013", "pl:strip_id": "902639", "pl:updated": "2017-11-11T11:17:33Z", "pl:usable_data": 0, "pl:view_angle": 1 }, "type": "Feature", "assets": { "thumbnail": { "href": "https://api.planet.com/data/v1/item-types/PSScene4Band/items/20171110_121030_1013/thumb", "title": "Thumbnail", "status": "active" }, "analytic": { "href": "https://api.planet.com/data/v1/assets/eyJpIjogIjIwMTcxMTEwXzEyMTAxMF8xMDEzIiwgImMiOiAiUFNTY2VuZTRCYW5kIiwgInQiOiAiYW5hbHl0aWMiLCAiY3QiOiAiaXRlbS10eXBlIn0", "title": "PSScene4Band GeoTIFF (COG)", "activate": "https://api.planet.com/data/v1/assets/eyJpIjogIjIwMTcxMTEwXzEtMTAzMF8xMDEzIiwgImMiOiAiUFNTY2VuZTRCYW5kIiwgInQiOiAiYW5hbHl0aWMiLCAiY3QiOiAiaXRlbS10eXBlIn0/activate", "asset_type": "https://api.planet.com/data/v1/asset-types/analytic", "_permissions": [ "download" ], "md5_digest": null, "status": "inactive" }, "analytic_xml": { "href": "https://api.planet.com/data/v1/assets/NTY2VuZTReyJpIjogIjIwMTcxMTEwXzEyMTAxMF8xMDEzIiQiOiAiaXRlbS10ewgImMiOiAiUFbHl0aWMiLCAiY3XBlIn0", "title": "PSScene4Band XML Metadata", "activate": "https://api.planet.com/data/v1/assets/tMTAzMF8xMDEzIiwInQiOiAeyJpIjogIjIwMTcxMTEwXzEiYW5hbHl0aWMiLCAiY3gImMiOiAiUFNTY2VuZTRCYW5kIiwgQiOiAiaXRlbS10eXBlIn0/activate", "asset_type": "https://api.planet.com/data/v1/asset-types/analytic_xml", "_permissions": [ "download" ], "md5_digest": null, "status": "activating" }, "udm": { "href": "https://api.planet.com/data/v1/assets/NTY2VuZTReyJpIzEyMTAxMF8xMDEzIiQiOiAiaXRlbTcxMTEwXAiUFbHl0S10ewgImMiOijogIjIwMaWMiLCAiY3XBlIn0", 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}stac-validator-4.2.2/tests/test_data/v080/items/sample-full.json000077500000000000000000000053201517436701200245110ustar00rootroot00000000000000{ "stac_version": "0.8.0", "stac_extensions": [ "eo" ], "type": "Feature", "id" : "CS3-20160503_132131_05", "bbox": [-122.59750209, 37.48803556, -122.2880486, 37.613537207], "geometry": { "type": "Polygon", "coordinates": [ [ [-122.308150179, 37.488035566], [-122.597502109, 37.538869539], [-122.576687533, 37.613537207], [-122.288048600, 37.562818007], [-122.308150179, 37.488035566] ] ] }, "properties": { "datetime": "2016-05-03T13:22:30.040Z", "title": "A CS3 item", "license": "PDDL-1.0", "providers": [ { "name": "CoolSat", "roles": [ "producer", "licensor" ], "url": "https://cool-sat.com/" } ], "eo:sun_azimuth": 168.7, "eo:cloud_cover": 0.12, "eo:off_nadir": 1.4, "eo:platform": "coolsat2", "eo:instrument": "cool_sensor_v1", "eo:bands": [], "eo:sun_elevation": 33.4, "eo:gsd": 0.512, "cs:type": "scene", "cs:anomalous_pixels": 0.14, 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file", "type": "text/plain" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "self", "href": "https://landsat-stac.s3.amazonaws.com/landsat-8-l1/107/018/2018-10-01/LC08_L1TP_107018_20181001_20181001_01_RT.json" }, { "rel": "parent", "href": "https://landsat-stac.s3.amazonaws.com/landsat-8-l1/107/018/catalog.json" }, { "rel": "root", "href": "https://landsat-stac.s3.amazonaws.com/catalog.json" } ] } stac-validator-4.2.2/tests/test_data/v090/colletions/sentinel2.json000077500000000000000000000115341517436701200252320ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [], "id": "COPERNICUS/S2", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "summaries": { "datetime": { "min": "2015-06-23T00:00:00Z", "max": "2019-07-10T13:44:56Z" }, "platform": ["sentinel-2a","sentinel-2b"], "constellation": ["sentinel-2"], "instruments": ["msi"], "view:off_nadir": { "min": 0.0, "max": 100 }, "view:sun_elevation": { "min": 6.78, "max": 89.9 }, "sci:citation": ["Copernicus Sentinel data [Year]"], "eo:gsd": [10,30,60], "proj:epsg": [32601,32602,32603,32604,32605,32606,32607,32608,32609,32610,32611,32612,32613,32614,32615,32616,32617,32618,32619,32620,32621,32622,32623,32624,32625,32626,32627,32628,32629,32630,32631,32632,32633,32634,32635,32636,32637,32638,32639,32640,32641,32642,32643,32644,32645,32646,32647,32648,32649,32650,32651,32652,32653,32654,32655,32656,32657,32658,32659,32660], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "links": [ { "rel": "self", "href": "https://storage.cloud.google.com/earthengine-test/catalog/COPERNICUS_S2.json" }, { "rel": "parent", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "root", "href": "https://storage.cloud.google.com/earthengine-test/catalog/catalog.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/000077500000000000000000000000001517436701200224515ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/README.md000077500000000000000000000321471517436701200237420ustar00rootroot00000000000000# Extensions This folder contains extensions to the SpatioTemporal Asset Catalog specification. The specification is designed for extension, defining just a minimal core. It is expected that most real world implementations will use several extensions to fully describe their data and API. Extensions can be changes in functionality or new fields. This can include new JSON files that are linked to from the core `links`, as well as new OpenAPI fragments. Extensions should include narrative explaining the fields, a comprehensive example and a JSON-Schema to validate compliance. Any data provider can create an extension, and when providers work together to share fields between them they can create a shared extension and include it in the STAC repository. Anyone is welcome to create an extension (see section 'Extending STAC'), and is encouraged to at least link to the extension from here. The third-party / vendor extension section is for the sharing of extensions. As third parties create useful extensions for their implementation it is expected that others will make use of it, and then evolve to make it a 'community extension', that several providers maintain together. For now anyone from the community is welcome to use this extensions/ folder of the stac-spec repository to collaborate. ## Extension Maturity Extensions in this directory are meant to evolve to maturity, and thus may be in different states in terms of stability and number of implementations. All extensions included must include a maturity classification, so that STAC spec users can easily get a sense of how much they can count on the extension. | Maturity Classification | Min Impl # | Description | Stability | | ----------------------- | ----------- | ----------- | --------- | | Proposal | 0 | An idea put forward by a community member to gather feedback | Not stable - breaking changes almost guaranteed as implementers try out the idea. | | Pilot | 1 | Idea is fleshed out, with examples and a JSON schema, and implemented in one or more catalogs. Additional implementations encouraged to help give feedback | Approaching stability - breaking changes are not anticipated but can easily come from additional feedback | | Candidate | 3 | A number of implementers are using it and are standing behind it as a solid extension. Can generally count on an extension at this maturity level | Mostly stable, breaking changes require a new version and minor changes are unlikely. | | Stable | 6 | Highest current level of maturity. The community of extension maintainers commits to a STAC review process for any changes, which are not made lightly. | Completely stable, all changes require a new version number and review process. | | Deprecated | N/A | A previous extension that has likely been superceded by a newer one or did not work out for some reason. | DO NOT USE, is not supported | Maturity mostly comes through diverse implementations, so the minimum number of implementations column is the main gating function for an extension to mature. But extension authors can also choose to hold back the maturity advancement if they don't feel they are yet ready to commit to the less breaking changes of the next level. A 'mature' classification level will likely be added once there are extensions that have been stable for over a year and are used in twenty or more implementations. ## List of content extensions An extension can add new fields to STAC entities (content extension), or can add new endpoints or behavior to the API (API extension). Below is a list of content extensions, while API extensions given under [api-spec](../api-spec/) in a folder for [API extensions](../api-spec/extensions/). | Extension Title | Identifier | Field Name Prefix | Scope | Maturity | Description | | ---------------------------------------------- | ---------------- | ------------------- | ------------------------- | ---------- | ---------------------------------- | | [Asset Definition](asset/README.md) | asset | - | Collection | *Proposal* | Provides a way to specify details about what assets may be found in Items belonging to a collection. | | [Checksum](checksum/README.md) | checksum | checksum | Item, Catalog, Collection | *Proposal* | Provides a way to specify file checksums for assets and links in Items, Catalogs and Collections. | | [Commons](commons/README.md) | commons | - | Item, Collection | *Proposal* | Provides a way to specify data fields in a collection that are common across the STAC Items in that collection, so that each does not need to repeat all the same information. | | [Data Cube](datacube/README.md) | datacube | cube | Item, Collection | *Proposal* | Data Cube related metadata, especially to describe their dimensions. | | [Electro-Optical](eo/README.md) | eo | eo | Item | *Pilot* | Covers electro-optical data that represents a snapshot of the earth for a single date and time. It could consist of multiple spectral bands, for example visible bands, infrared bands, red edge bands and panchromatic bands. The extension provides common fields like bands, cloud cover, gsd and more. | | [Label](label/README.md) | label | label | Item | *Proposal* | Items that relate labeled AOIs with source imagery | | [Point Cloud](pointcloud/README.md) | pointcloud | pc | Item | *Proposal* | Provides a way to describe point cloud datasets. The point clouds can come from either active or passive sensors, and data is frequently acquired using tools such as LiDAR or coincidence-matched imagery. | | [Projection](projection/README.md) | projection | proj | Item | *Proposal* | Provides a way to describe items whose assets are in a geospatial projection. | | [SAR](sar/README.md) | sar | sar | Item | *Proposal* | Covers synthetic-aperture radar data that represents a snapshot of the earth for a single date and time. | | [Satellite](sat/README.md) | sat | sat | Item | *Proposal* | Satellite related metadata for data collected from satellites. | | [Scientific](scientific/README.md) | scientific | sci | Item, Collection | *Proposal* | Scientific metadata is considered to be data that indicate from which publication data originates and how the data itself should be cited or referenced. | | [Single File STAC](single-file-stac/README.md) | single-file-stac | - | ItemCollection | *Proposal* | An extension to provide a set of Collections and Items as a single file catalog. | | [Versioning Indicators](version/README.md) | version | - | Item, Collection | *Proposal* | Provides fields and link relation types to provide a version and indicate deprecation. | | [View Geometry](view/README.md) | view | view | Item | *Proposal* | View Geometry adds metadata related to angles of sensors and other radiance angles that affect the view of resulting data | ## Third-party / vendor extensions The following extensions are provided by third parties (vendors). They tackle very specific use-cases and may be less stable than the official extensions. Once stable and adopted by multiple parties, extensions may be made official and incorporated in the STAC repository. Please contact a STAC maintainer or open a Pull Request to add your extension to this table. | Name | Scope | Description | Vendor | | -------- | ----- | ----------- | ------ | | None yet | | | | ## Proposed extensions The following extensions are proposed through the [STAC issue tracker](https://github.com/radiantearth/stac-spec/issues) and are considered to be implemented. If you would find any of these helpful or are considering to implement a similar extension, please get in touch through the referenced issues: - [Drone content Extension](https://github.com/radiantearth/stac-spec/issues/149) - [Full Motion Video Content Extension](https://github.com/radiantearth/stac-spec/issues/156) - [Storage Extensions](https://github.com/radiantearth/stac-spec/issues/148) - [gRPC STAC Extensions](https://github.com/radiantearth/stac-spec/issues/575) ## Extending STAC Anyone is welcome to create an extension. There are several types of extensions, some just add additional fields, some change the behaviour of STAC and some introduce completely new functionality. New extensions should try to align with existing extensions as good as possible and may even re-use fields and their definitions until they may get split into a new extension that combines commonly used fields across multiple extensions. Best practices for extension proposals are still emerging in this section. ### Prefixes A STAC Item can combine schema information from several different sources - the core STAC item information, an earth observation community extension, and a vendor specific provider. It can be difficult to distinguish exactly where each definition came from, and to pull out the most relevant information, especially when vendors often will dump in all the metadata they have in to the STAC definition. So one idea is to have prefixes to differentiate specific vendors (like `dg:` for DigitalGlobe), and for communities of practice (like `eo:` for Electro-Optical). These wouldn't be full namespacing, though an extension for like JSON-LD could potentially evolve to make fully resolved namespacing an option. An example of this can be seen in a Landsat example: ``` "properties": { "datetime":"2018-01-01T13:21:30Z", "start_datetime":"2018-01-01T13:21:30Z", "end_datetime":"2018-01-01T13:31:30Z", "view:off_nadir": -0.001, "eo:cloud_cover": 10.31, "view:sun_azimuth": 149.01607154, "view:sun_elevation": 59.21424700, "eo:gsd": 30, "l8:data_type": "L1T", "l8:wrs_path": 153, "l8:wrs_row": 25, "l8:earth_sun_distance": 1.0141560, "l8:ground_control_points_verify": 114, "l8:geometric_rmse_model": 7.562, "l8:image_quality_tirs": 9, "l8:ground_control_points_model": 313, "l8:geometric_rmse_model_x": 5.96, "l8:geometric_rmse_model_y": 4.654, "l8:geometric_rmse_verify": 5.364, "l8:image_quality_oli": 9 } ``` ### Use of arrays and objects For content extensions, it is recommended to use use arrays only as true (potentially sorted) enumerations/lists without having additional meaning and to avoid objects whenever possible. For example, if one would like to define an extension to contain a start and a end date, there are multiple options (tl;dr: option **3** is recommended): 1. Define an object, for example: `"date_range": {"start": "2018-01-01", "end": "2018-01-31"}`. This is **discouraged** as it is more complex to search in objects. 2. Define an two-element array where the first element is the start date and the second element is the end date, for example `"date_range": ["2018-01-01", "2018-01-31"]`. This is **discouraged** as it would conflict with Collection `summaries`, which always considers arrays as true (potentially sorted) enumeration without any additional meaning. 3. Define two separate fields, e.g. `"date_range_start": "2018-01-01", "date_range_end": "2018-01-31"`. This is **recommended** as it avoids the conflicts above and is usually better displayed in software that only understands GeoJSON but has no clue about STAC. This is due to the fact that most legacy software can not display arrays or objects GeoJSON `properties` properly. This rules only applies to the fields defined directly for the Item's `properties`. For fields and structures defined on other levels (e.g. in the root of an Item or in an array), extension authors can freely define the structure. So an array of objects such as the `eo:bands` are fine to use, but keep in mind that the drawbacks mentioned above usually still apply. ### Directory Structure A STAC extension can have references to additional schemas within the extension schema. These files should be kept together in order to preserve relative `$ref` links. See the [EO](eo/) extension file structure as an example. * Specification examples should be stored in an `examples` directory. * The specification schema file(s) should be stored in a `json-schema` directory. Make sure to choose a meaningful identifier for the extension and use this value as the extension's directory name. The extension's identifier should be used in the `stac_extensions` field. Also, make sure to add the identifier to the enum defined for the `stac_extensions` field in the [JSON schema of the STAC catalog specification](../catalog-spec/json-schema/catalog.json).stac-validator-4.2.2/tests/test_data/v090/extensions/asset/000077500000000000000000000000001517436701200235705ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/asset/README.md000077500000000000000000000056411517436701200250600ustar00rootroot00000000000000# Asset Definition Specification - **Title: Asset Definition** - **Identifier: asset** - **Field Name Prefix: -** - **Scope: Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** A Collection extension to provide details about assets that are available in member Items. - [Example](examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) This extension serves two purposes: 1. Provide a human-readable definition of assets available in any Items belonging to this Collection so that the user can determine the key(s) of assets they are interested in. 2. Provide a way to programmatically determine what assets are available in any member Item. Otherwise a random Item needs to be examined to determine assets available, but a random Item may not be representative of the set. ## Collection fields This extension introduces a single new field, `assets` at the top level of a collection. An Asset Object defined at the Collection level is nearly the same as the [Asset Object in Items](../../item-spec/item-spec.md#asset-object), except for two differences. The `href` field is not required, because collections don't point to any data by themselves. Additioanlly the remaining fields, `title` and `type` are required in the Asset Definition, in order for it to adequately describe Item assets. | Field Name | Type | Description | | ---------- | ------------------------------------------ | ----------- | | assets | Map | **REQUIRED.** A dictionary of assets that can be found in member Items | ### Asset Object An asset is an object that contains details about the datafiles that will be included in member Items. Assets included at the Collection level do not imply that all assets are available from all Items. However, it is recommended that the Asset Definition is a complete set of all assets that may be available from any member Items. | Field Name | Type | Description | | ----------- | -------- | ----------- | | title | string | The displayed title for clients and users. | | description | string | A description of the Asset providing additional details, such as how it was processed or created. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | type | string | [Media type](../../item-spec/item-spec.md#media-types) of the asset. | | roles | [string] | The [semantic roles](../../item-spec/item-spec.md#asset-role-types) of the asset, similar to the use of `rel` in links. | Other custom fields, or fields from other extensions may also be included in the Asset object. ## Implementations - AWS Public Dataset catalogs, [landsat-8](http://landsat-stac.s3.amazonaws.com/landsat-8-l1/catalog.json) and [sentinel-2](http://sentinel-stac.s3.amazonaws.com/sentinel-2-l1c/catalog.json) define an Asset definition at the collection level. stac-validator-4.2.2/tests/test_data/v090/extensions/asset/examples/000077500000000000000000000000001517436701200254065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/asset/examples/example-landsat8.json000077500000000000000000000130221517436701200314510ustar00rootroot00000000000000{ "id": "landsat-8-l1", "title": "Landsat 8 L1", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "keywords": [ "landsat", "earth observation", "usgs" ], "stac_version": "0.9.0", "stac_extensions": [ "asset", "commons" ], "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2013-06-01T00:00:00Z", null ] ] } }, "providers": [ { "name": "USGS", "roles": [ "producer" ], "url": "https://landsat.usgs.gov/" }, { "name": "Planet Labs", "roles": [ "processor" ], "url": "https://github.com/landsat-pds/landsat_ingestor" }, { "name": "AWS", "roles": [ "host" ], "url": "https://landsatonaws.com/" }, { "name": "Development Seed", "roles": [ "processor" ], "url": "https://github.com/sat-utils/sat-api" } ], "license": "PDDL-1.0", "properties": { "eo:gsd": 15, "platform": "landsat-8", "instruments": [ "oli", "tirs" ], "view:off_nadir": 0, "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ] }, "assets": { "thumbnail": { "type": "image/jpeg", "title": "Thumbnail", "description": "A medium sized thumbnail", "roles": [ "thumbnail" ] }, "metadata": { "type": "mtl", "roles": [ "metadata" ], "title": "Original Metadata", "description": "The original MTL metadata file provided for each Landsat scene" }, "B1": { "type": "image/tiff; application=geotiff", "eo:bands": [ 0 ], "title": "Coastal Band (B1)", "description": "Coastal Band Top Of the Atmosphere" }, "B2": { "type": "image/tiff; application=geotiff", "eo:bands": [ 1 ], "title": "Blue Band (B2)", "description": "Blue Band Top Of the Atmosphere" }, "B3": { "type": "image/tiff; application=geotiff", "eo:bands": [ 2 ], "title": "Green Band (B3)", "description": "Green Band (B3) Top Of the Atmosphere" }, "B4": { "type": "image/tiff; application=geotiff", "eo:bands": [ 3 ], "title": "Red Band (B4)", "description": "Red Band (B4) Top Of the Atmosphere" }, "B5": { "type": "image/tiff; application=geotiff", "eo:bands": [ 4 ], "title": "NIR Band (B5)", "description": "NIR Band (B5) Top Of the Atmosphere" }, "B6": { "type": "image/tiff; application=geotiff", "eo:bands": [ 5 ], "title": "SWIR Band (B6)", "description": "SWIR Band at 1.6um (B6) Top Of the Atmosphere" }, "B7": { "type": "image/tiff; application=geotiff", "eo:bands": [ 6 ], "title": "SWIR Band (B7)", "description": "SWIR Band at 2.2um (B7) Top Of the Atmosphere" }, "B8": { "type": "image/tiff; application=geotiff", "eo:bands": [ 7 ], "title": "Panchromatic Band (B8)", "description": "Panchromatic Band (B8) Top Of the Atmosphere" }, "B9": { "type": "image/tiff; application=geotiff", "eo:bands": [ 8 ], "title": "Cirrus Band (B9)", "description": "Cirrus Band (B9) Top Of the Atmosphere - for cirrus cloud detection" }, "B10": { "type": "image/tiff; application=geotiff", "eo:bands": [ 9 ], "title": "LWIR Band (B10)", "description": "Long-wave IR Band at 11um (B10) Top Of the Atmosphere" }, "B11": { "type": "image/tiff; application=geotiff", "eo:bands": [ 10 ], "title": "LWIR Band (B11)", "description": "Long-wave IR Band at 12um (B11) Top Of the Atmosphere" }, "links": [] } } stac-validator-4.2.2/tests/test_data/v090/extensions/asset/json-schema/000077500000000000000000000000001517436701200257775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/asset/json-schema/schema.json000077500000000000000000000023521517436701200301370ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Asset Definition Extension Specification", "description": "STAC Asset Definition Extension to a STAC Collection", "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/assets" } ], "definitions": { "assets": { "title": "Asset schemas", "type": "object", "required": [ "assets" ], "properties": { "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/asset" } } } }, "asset": { "type": "object", "required": [ "title", "type" ], "properties": { "title": { "title": "Asset title", "type": "string" }, "description": { "title": "Asset description", "type": "string" }, "type": { "title": "Asset type", "type": "string" }, "roles": { "title": "Asset roles", "type": "array", "items": { "type": "string" } } } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/checksum/000077500000000000000000000000001517436701200242535ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/checksum/README.md000077500000000000000000000037231517436701200255420ustar00rootroot00000000000000# Checksum Extension Specification - **Title: Checksum** - **Identifier: checksum** - **Field Name Prefix: checksum** - **Scope: Item, Catalog, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** Provides a way to specify file checksums (e.g. BLAKE2, MD5, SHA1, SHA2, SHA3) for assets and links in STAC Items, STAC Catalogs and STAC Collections. The hashes are self-identifying hashes as described in the [Multihash specification](https://github.com/multiformats/multihash). - [Example](examples/sentinel1.json) - [JSON Schema](json-schema/schema.json) ## [`Link Object`](../../item-spec/item-spec.md#link-object) and [`Asset Object`](../../item-spec/item-spec.md#asset-object) fields | Field Name | Type | Description | | ------------------ | ------ | ------------------------------------------------------------ | | checksum:multihash | string | Multihash for the corresponding file, encoded as hexadecimal (base 16) string with lowercase letters. | ### Examples Checksum for a text file with file content `test`. | Field Name | Algorithm | Example | | ------------------ | ------------------------------------- | ---------------------------------------------------------------------- | | checksum:multihash | sha1 (160 bits) | `1114a94a8fe5ccb19ba61c4c0873d391e987982fbbd3` | | checksum:multihash | sha2 (256 bits) | `12209f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b822cd15d6c15b0f00a08` | | checksum:multihash | sha2 (256 bits truncated to 160 bits) | `12149f86d081884c7d659a2feaa0c55ad015a3bf4f1b2b0b` | | checksum:multihash | blake2b-128 | `90e4021044a8995dd50b6657a037a7839304535b` | ## Implementations None yet, still in proposal stage. stac-validator-4.2.2/tests/test_data/v090/extensions/checksum/examples/000077500000000000000000000000001517436701200260715ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/checksum/examples/sentinel1.json000077500000000000000000000044771517436701200307050ustar00rootroot00000000000000{ "id": "S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616", "type": "Feature", "stac_version": "0.9.0", "stac_extensions": [ "checksum" ], "bbox": [-70.275032,-64.72924,-65.087479,-51.105831], "geometry": { "type": "Polygon", "coordinates": [ [ [-67.071648,-64.72924], [-65.087479,-56.674374], [-68.033211,-51.105831], [-70.275032,-59.805672], [-67.071648,-64.72924] ] ] }, "properties": { "datetime": "2018-11-03T23:58:55Z" }, "assets": { "noises": { "href": "./annotation/calibration/noise-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Calibration Schema", "type": "text/xml", "checksum:multihash": "90e40210a30d1711e81a4b11ef67b28744321659" }, "calibrations": { "href": "./annotation/calibration/calibration-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Noise Schema", "type": "text/xml", "checksum:multihash": "90e402104fc5351af67db0b8f1746efe421a05e4" }, "products": { "href": "./annotation/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Product Schema", "type": "text/xml", "checksum:multihash": "90e402107a7f2588a85362b9beea2a12d4514d45" }, "measurement": { "href": "./measurement/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.tiff", "title": "Measurements", "type": "image/tiff", "sar:polarizations": ["HH"], "checksum:multihash": "90e40210163700a8a6501eccd00b6d3b44ddaed0" }, "thumbnail": { "href": "./preview/quick-look.png", "title": "Thumbnail", "type": "image/png", "checksum:multihash": "90e40210f52acd32b09769d3b1871b420789456c" } }, "links": [ { "rel": "self", "href": "https://example.com/collections/sentinel-1/items/S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616" }, { "rel": "parent", "href": "https://example.com/collections/sentinel-1", "checksum:multihash": "11146d97123fd2c02dec9a1b6d3b13136dbe600cf966" }, { "rel": "root", "href": "https://example.com/collections", "checksum:multihash": "1114fa4b9d69fdddc7c1be7bed9440621400b383b43f" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/checksum/json-schema/000077500000000000000000000000001517436701200264625ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/checksum/json-schema/schema.json000077500000000000000000000020241517436701200306160ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Checksum Extension Specification", "description": "STAC Checksum Extension to a STAC Item", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json#/definitions/core" }, { "$ref": "#/definitions/checksum" } ], "definitions": { "checksum": { "type": "object", "properties": { "links": { "title": "Links", "type": "array", "items": { "$ref": "#/definitions/checksums" } }, "assets": { "title": "Assets", "type": "object", "patternProperties": { ".+": { "$ref": "#/definitions/checksums" } } } } }, "checksums": { "type": "object", "properties": { "checksum:multihash": { "type": "string", "pattern": "^[a-f0-9]+$", "title": "Multihash" } } } } } stac-validator-4.2.2/tests/test_data/v090/extensions/commons/000077500000000000000000000000001517436701200241245ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/commons/README.md000077500000000000000000000146721517436701200254200ustar00rootroot00000000000000# Commons Extension Specification - **Title: Commons** - **Identifier: commons** - **Field Name Prefix: -** - **Scope: Item, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** A group of STAC Item objects from a single source can share a lot of common metadata. This is especially true with satellite imagery that uses the STAC EO Extension. Rather than including these common metadata fields on every Item, they can be provided into the [STAC Collection](../../collection-spec/README.md) that the STAC Items belong to. This extension makes most sense in **static catalogs** to move common information to a central place. This reduces duplication of metadata and makes updates to static catalogs easier. It also makes navigating a static catalog easier as user know in advance which common fields to expect although Items can better be summarized with the `summaries` field in Collections. Therefore it is recommended to use the summaries for this use case and only use the Commons extension to avoid data duplication. In **API implementations** the Commons extension should not be used as it leads to less intuitive search results. For example, a search result for Items may not include the fields a user has searched for as it has been moved to the Collection, which may lead to confusion. Also, data duplication in dynamically created responses is usually not an issue and APIs derived from static catalogs can simply merge the common fields back into the Items for the response. In this case the `stac_extensions` field should not contain the `commons` extension any longer. To reduce the size of the response body, the [Fields API Extension](../../api-spec/extensions/fields/README.md) can be used. - [Examples](examples/): - Landsat 8: An [Item](examples/landsat-item.json) that uses the Commons extension to place shared data in a [Collection](examples/landsat-collection.json). - [JSON Schema](json-schema/schema.json) ## Item fields Unlike other extensions the Commons extension does not add any fields to a STAC Item, instead it allows one to move fields out of Item and into the parent STAC Collection, from which any member Item will inherit. Any field under an Items `properties` field can be removed and added to the Collection `properties` field. Since a Collection contains no properties itself, anything under properties are metadata fields that are common across all member Items. This provides maximum flexibility to data providers, as the set of common metadata fields can vary between different types of data. For instance, Landsat and Sentinel data always has a `view:off_nadir` value of `0`, because those satellites are always pointed downward (i.e., nadir), while satellite that can be pointed will have varying `view:off_nadir` values. The Commons extension allow the data provider to define the set of metadata that defines the collection. While some metadata fields are more likely to be part of the common set, such as or `instrument` rather than `eo:cloud_cover`, it depends on how the data provider chooses to organize their data. If a metadata field is specified in the Collection properties, it will be ignored in any Item that links to that Collection. This is important because a Collection is the metadata that is common across all Item objects. If a field is variable at all, it should not be part of the Commons. A Collection may not link to any Items, it may just be a definition of a Collection, in which case the Commons extension could still be used by defining any properties that would be shared by any member Item. ### Linking to a STAC Collection All Items are strongly recommended to link to a Collection (this is part of the STAC Item spec) and related references are specified in two places. One is a field called `collection` in a STAC Item which is the `id` of a STAC Collection record. The `collection` field provides an easy way for a user to search for any Items that belong in a specified Collection. A STAC Item must also provide a link to the STAC Collection using the `collection` rel type: ``` "links": [ ... { "rel": "collection", "href": "http://example.com/link/to/collection/record.json" } ] ``` ### Using a STAC Collection To get the complete record of an Item (both individual and commons properties), the properties from the Collection can be merged with the Item. An incomplete Collection: ``` { "stac_version": "0.9.0", "stac_extensions": ["commons"], "id": "landsat-8-l1", "title": "Landsat 8 L1", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "extent": {...}, "license": "PDDL-1.0", "properties": { "platform": "landsat-8", "constellation": "landsat-8", "instruments": ["oli", "tirs"], "eo:gsd": 30, "view:off_nadir": 0, "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, ... ] }, "links": [...] } ``` An incomplete item: ``` { "stac_version": "0.9.0", "stac_extensions": ["commons", "eo", "view"], "type": "Feature", "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "bbox": [...], "geometry": {...}, "collection": "landsat-8-l1", "properties": { "datetime": "2018-10-01T01:08:32.033Z", "eo:cloud_cover": 78, "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431 }, "assets": {...}, "links": [...] } ``` The merged Item then looks like this: ``` { "stac_version": "0.9.0", "stac_extensions": ["eo", "view"], "type": "Feature", "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "bbox": [...], "geometry": {...}, "collection": "landsat-8-l1", "properties": { "datetime": "2018-10-01T01:08:32.033Z", "platform": "landsat-8", "constellation": "landsat-8", "instruments": ["oli", "tirs"], "eo:cloud_cover": 78, "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "eo:gsd": 30, "view:off_nadir": 0, "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, ... ] }, "assets": {...}, "links": [...] } ``` ## Implementations [sat-api](https://github.com/sat-utils/sat-api/) has pioneered this functionality. You can see it in action at [https://sat-api.developmentseed.org/stac](https://sat-api.developmentseed.org/stac). stac-validator-4.2.2/tests/test_data/v090/extensions/commons/examples/000077500000000000000000000000001517436701200257425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/commons/examples/landsat-collection.json000077500000000000000000000067541517436701200324330ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "commons" ], "id": "landsat-8-l1", "title": "Landsat 8 L1", "description": "Landat 8 imagery radiometrically calibrated and orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "keywords": [ "landsat" ], "extent": { "spatial": { "bbox": [ [ -180, -90, 180, 90 ] ] }, "temporal": { "interval": [ [ "2013-06-01T00:00:00Z", null ] ] } }, "providers": [ { "name": "USGS", "url": "https://landsat.usgs.gov/", "roles": [ "producer", "licensor" ] }, { "name": "Planet Labs", "url": "https://github.com/landsat-pds/landsat_ingestor", "roles": [ "processor" ] }, { "name": "AWS", "url": "https://landsatonaws.com/", "roles": [ "host" ] }, { "name": "Development Seed", "url": "https://developmentseed.org/", "roles": ["processor"] } ], "license": "PDDL-1.0", "properties": { "eo:gsd": 30, "platform": "landsat-8", "instruments": ["oli", "tirs"], "view:off_nadir": 0, "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ] }, "links": [ { "rel": "self", "href": "https://example.com/stac/collections/landsat-8-l1" }, { "rel": "parent", "href": "https://example.com/stac" }, { "rel": "root", "href": "https://example.com/stac" }, { "rel": "child", "href": "https://example.com/stac/collections/landsat-8-l1/items" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/commons/examples/landsat-item.json000077500000000000000000000147151517436701200312320ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "commons", "eo", "sat", "https://example.com/stac/landsat-extension/1.0/schema.json" ], "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "collection": "landsat-8-l1", "properties": { "datetime": "2018-10-01T01:08:32.033Z", "eo:cloud_cover": 78, "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "landsat:path": 107, "landsat:row": 18 }, "assets": { "ANG": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_ANG.txt", "title": "Angle coefficients file", "type": "text/plain" }, "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)" }, "B2": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 1 ], "title": "Band 2 (blue)" }, "B3": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 2 ], "title": "Band 3 (green)" }, "B4": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 3 ], "title": "Band 4 (red)" }, "B5": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B5.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 4 ], "title": "Band 5 (nir)" }, "B6": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B6.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 5 ], "title": "Band 6 (swir16)" }, "B7": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B7.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 6 ], "title": "Band 7 (swir22)" }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B8.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 7 ], "title": "Band 8 (pan)" }, "B9": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B9.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 8 ], "title": "Band 9 (cirrus)" }, "B10": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B10.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 9 ], "title": "Band 10 (lwir)" }, "B11": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B11.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 10 ], "title": "Band 11 (lwir)" }, "BQA": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_BQA.TIF", "title": "Band quality data", "type": "image/tiff; application=geotiff" }, "MTL": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_MTL.txt", "title": "original metadata file", "type": "text/plain" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "self", "href": "https:///search?id=LC08_L1TP_107018_20181001_20181001_01_RT" }, { "rel": "parent", "href": "https:///stac/collections/landsat-8-l1" }, { "rel": "root", "href": "https:///stac" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/commons/json-schema/000077500000000000000000000000001517436701200263335ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/commons/json-schema/schema.json000077500000000000000000000011161517436701200304700ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Commons Extension", "description": "STAC Commons Extension for STAC Items and STAC Collections.", "oneOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "type": "object", "required": [ "properties" ], "properties": { "properties": { "title": "Common fields", "type": "object", "additionalProperties": true } } } ] } ] }stac-validator-4.2.2/tests/test_data/v090/extensions/datacube/000077500000000000000000000000001517436701200242215ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/datacube/README.md000077500000000000000000000207071517436701200255110ustar00rootroot00000000000000# Data cube Extension Specification - **Title: Data Cube** - **Identifier: datacube** - **Field Name Prefix: cube** - **Scope: Item, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** Data cube related metadata, especially to describe their dimensions. - Examples: - [Item](examples/example-item.json) - [Collection](examples/example-collection.json) - [JSON Schema](json-schema/schema.json) ## Item Fields | Field Name | Type | Description | | --------------- | -------------------------------------------------- | ------------------------------------------- | | cube:dimensions | Map | Uniquely named dimensions of the data cube. | ### Dimension Object A *Dimension Object* comes in different flavors, each of them is defined below. The fields define mostly very similar fields, but they differ slightly depending on their use case. All objects share the fields `type` and `description` with the same definition, but `type` may be restricted to certain values. The definition of`axis` is shared between the spatial dimensions, but restricted to certain values, too. `extent`, `values` and `step` share the same definition, but differ in the supported data types (number or string) depending on the type of dimension. Whenever it's useful to specify these fields, the objects add the additional fields `reference_system` and `unit` with very similar definitions across the objects. ### Horizontal Spatial Dimension Object A spatial dimension in one of the horizontal (x or y) directions. | Field Name | Type | Description | | ---------------- | -------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Type of the dimension, always `spatial`. | | axis | string | **REQUIRED.** Axis of the spatial dimension (`x`, `y`). | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | [number] | **REQUIRED.** Extent (lower and upper bounds) of the dimension as two-dimensional array. Open intervals with `null` are not allowed. | | values | [number] | Optionally, a set of all potential values. | | step | number\|null | The space between the values. Use `null` for irregularly spaced steps. | | reference_system | string\|number\|object | The spatial reference system for the data, specified as [EPSG code](http://www.epsg-registry.org/), [WKT2 (ISO 19162) string](http://docs.opengeospatial.org/is/18-010r7/18-010r7.html), [PROJJSON](https://proj.org/projjson.html) or [PROJ definition](https://proj.org/usage/quickstart.html). Defaults to EPSG code 4326. | ### Vertical Spatial Dimension Object A spatial dimension in vertical (z) direction. | Field Name | Type | Description | | ---------------- | ---------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Type of the dimension, always `spatial`. | | axis | string | **REQUIRED.** Axis of the spatial dimension, always `z`. | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | [number\|null] | If the dimension consists of [ordinal](https://en.wikipedia.org/wiki/Level_of_measurement#Ordinal_scale) values, the extent (lower and upper bounds) of the values as two-dimensional array. Use `null` for open intervals. | | values | [number\|string] | A set of all potential values, especially useful for [nominal](https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level) values. | | step | number\|null | If the dimension consists of [interval](https://en.wikipedia.org/wiki/Level_of_measurement#Interval_scale) values, the space between the values. Use `null` for irregularly spaced steps. | | unit | string | The unit of measurement for the data, preferably the symbols from [SI](https://physics.nist.gov/cuu/Units/units.html) or [UDUNITS](https://ncics.org/portfolio/other-resources/udunits2/). | | reference_system | string\|number\|object | The spatial reference system for the data, specified as [EPSG code](http://www.epsg-registry.org/), [WKT2 (ISO 19162) string](http://docs.opengeospatial.org/is/18-010r7/18-010r7.html), [PROJJSON](https://proj.org/projjson.html) or [PROJ definition](https://proj.org/usage/quickstart.html). Defaults to EPSG code 4326. | An Vertical Spatial Dimension Object MUST specify an `extent` or a set of `values`. It MAY specify both. ### Temporal Dimension Object A temporal dimension based on the ISO 8601 standard. The temporal reference system for the data is expected to be ISO 8601 compliant (Gregorian calendar / UTC). Data not compliant with ISO 8601 can be represented as an *Additional Dimension Object* with `type` set to `temporal`. | Field Name | Type | Description | | ---------- | -------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Type of the dimension, always `temporal`. | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | [string\|null] | **REQUIRED.** Extent (lower and upper bounds) of the dimension as two-dimensional array. The dates and/or times must be strings compliant to [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601). `null` is allowed for open date ranges. | | values | [string] | If the dimension consists of set of specific values they can be listed here. The dates and/or times must be strings compliant to [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601). | | step | string\|null | The space between the temporal instances as [ISO 8601 duration](https://en.wikipedia.org/wiki/ISO_8601#Durations), e.g. `P1D`. Use `null` for irregularly spaced steps. | ### Additional Dimension Object An additional dimension that is not `spatial`, but may be `temporal` if the data is not compliant with ISO 8601. | Field Name | Type | Description | | ---------------- | ---------------- | ------------------------------------------------------------ | | type | string | **REQUIRED.** Custom type of the dimension, never `spatial`. | | description | string | Detailed multi-line description to explain the dimension. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | extent | [number\|null] | If the dimension consists of [ordinal](https://en.wikipedia.org/wiki/Level_of_measurement#Ordinal_scale) values, the extent (lower and upper bounds) of the values as two-dimensional array. Use `null` for open intervals. | | values | [number\|string] | A set of all potential values, especially useful for [nominal](https://en.wikipedia.org/wiki/Level_of_measurement#Nominal_level) values. | | step | number\|null | If the dimension consists of [interval](https://en.wikipedia.org/wiki/Level_of_measurement#Interval_scale) values, the space between the values. Use `null` for irregularly spaced steps. | | unit | string | The unit of measurement for the data, preferably the symbols from [SI](https://physics.nist.gov/cuu/Units/units.html) or [UDUNITS](https://ncics.org/portfolio/other-resources/udunits2/). | | reference_system | string | The reference system for the data. | An Additional Dimension Object MUST specify an `extent` or a set of `values`. It MAY specify both. ## Implementations openEO has multiple implementations. Some example collections: - [Sentinel-2 collection on openEO Google Earth Engine driver](https://earthengine.openeo.org/v0.4/collections/COPERNICUS/S2) (STAC 0.7.0) - [MODIS ST Drought collection on EURAC WCPS driver](https://openeo.eurac.edu/collections/MODIS_ST_DROUGHT) (STAC 0.7.0) stac-validator-4.2.2/tests/test_data/v090/extensions/datacube/examples/000077500000000000000000000000001517436701200260375ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/datacube/examples/example-collection.json000077500000000000000000000057511517436701200325310ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "datacube" ], "id": "Sentinel2-L1C", "title": "Sentinel-2: MultiSpectral Instrument, Level-1C", "description": "Multi-dimensional Sentinel-2 data cube in a STAC collection.", "license": "proprietary", "extent": { "spatial": { "bbox": [ [-180,-56,180,83] ] }, "temporal": { "interval": [ ["2015-06-23T00:00:00Z","2019-07-10T13:44:56Z"] ] } }, "cube:dimensions": { "x": { "type": "spatial", "axis": "x", "extent": [-180,180], "reference_system": 3857 }, "y": { "type": "spatial", "axis": "y", "extent": [-56,83], "reference_system": 3857 }, "time": { "type": "temporal", "extent": ["2015-06-23T00:00:00Z","2019-07-10T13:44:56Z"], "step": "P5D" }, "spectral": { "type": "bands", "values": ["B1","B2","B3","B4","B5","B6","B7","B8","B8A","B9","B10","B11","B12","QA10","QA20","QA60"] } }, "summaries": { "datetime": { "min": "2015-06-23T00:00:00Z", "max": "2019-07-10T13:44:56Z" }, "eo:gsd": [10,30,60], "eo:platform": ["sentinel-2a","sentinel-2b"], "eo:constellation": ["sentinel-2"], "eo:instrument": ["msi"], "proj:epsg": [3857], "eo:bands": [ [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] ] }, "links": [ { "rel": "self", "href": "https://example.sentinel2-hub.com/stac/example-collection.json" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/datacube/examples/example-item.json000077500000000000000000000043211517436701200313240ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "datacube" ], "id": "datacube-123", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "properties": { "title": "Multi-dimensional data cube 123 in a STAC Item.", "datetime": "2016-05-03T13:21:30.040Z", "cube:dimensions": { "x": { "type": "spatial", "axis": "x", "extent": [ -122.59750209, -122.2880486 ], "reference_system": 4326 }, "y": { "type": "spatial", "axis": "y", "extent": [ 37.48803556, 37.613537207 ], "reference_system": 4326 }, "pressure_levels": { "type": "spatial", "axis": "z", "extent": [ 0, 1000 ], "step": 100, "unit": "Pa" }, "metered_levels": { "type": "spatial", "axis": "z", "values": [ 0, 10, 25, 50, 100, 1000 ], "unit": "m" }, "time": { "type": "temporal", "values": ["2016-05-03T13:21:30.040Z"] }, "spectral": { "type": "bands", "values": [ "red", "green", "blue" ] } } }, "assets": { "data": { "href": "http://cool-sat.com/catalog/datacube-123/data.nc", "type": "application/netcdf", "title": "netCDF Data cube" }, "thumbnail": { "href": "http://cool-sat.com/catalog/datacube-123/thumbnail.png", "type": "image/png", "title": "Thumbnail" } }, "links": [ { "rel": "self", "href": "http://cool-sat.com/catalog/datacube-123/example-item.json" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/datacube/json-schema/000077500000000000000000000000001517436701200264305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/datacube/json-schema/schema.json000077500000000000000000000160641517436701200305750ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Data Cube Extension", "description": "STAC Data Cube Extension to STAC Items and STAC Collections", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "type": "object", "required": [ "properties" ], "properties": { "properties": { "$ref": "#/definitions/datacube" } } } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/datacube" } ] } ], "definitions": { "datacube": { "type": "object", "required": [ "cube:dimensions" ], "properties": { "cube:dimensions": { "type": "object", "additionalProperties": { "anyOf": [ { "$ref": "#/definitions/objects/additional_dimension" }, { "$ref": "#/definitions/objects/horizontal_spatial_dimension" }, { "$ref": "#/definitions/objects/vertical_spatial_dimension" }, { "$ref": "#/definitions/objects/temporal_dimension" } ] } } } }, "objects": { "additional_dimension": { "title": "Additional Dimension Object", "type": "object", "anyOf": [ { "required": [ "type", "extent" ] }, { "required": [ "type", "values" ] } ], "not": { "required": ["axis"] }, "properties": { "type": { "allOf": [ { "type": "string" }, { "not": { "type": "string", "const": "spatial" } } ] }, "description": { "$ref": "#/definitions/fields/description" }, "extent": { "$ref": "#/definitions/fields/extent_open" }, "values": { "$ref": "#/definitions/fields/values" }, "step": { "$ref": "#/definitions/fields/step" }, "unit": { "$ref": "#/definitions/fields/unit" }, "reference_system": { "type": "string" } } }, "horizontal_spatial_dimension": { "title": "Horizontal Spatial Dimension Object", "type": "object", "required": [ "type", "axis", "extent" ], "properties": { "type": { "$ref": "#/definitions/fields/type_spatial" }, "axis": { "$ref": "#/definitions/fields/axis_xy" }, "description": { "$ref": "#/definitions/fields/description" }, "extent": { "$ref": "#/definitions/fields/extent_closed" }, "values": { "$ref": "#/definitions/fields/values_numeric" }, "step": { "$ref": "#/definitions/fields/step" }, "reference_system": { "$ref": "#/definitions/fields/reference_system_spatial" } } }, "vertical_spatial_dimension": { "title": "Vertical Spatial Dimension Object", "type": "object", "anyOf": [ { "required": [ "type", "axis", "extent" ] }, { "required": [ "type", "axis", "values" ] } ], "properties": { "type": { "$ref": "#/definitions/fields/type_spatial" }, "axis": { "$ref": "#/definitions/fields/axis_z" }, "description": { "$ref": "#/definitions/fields/description" }, "extent": { "$ref": "#/definitions/fields/extent_open" }, "values": { "$ref": "#/definitions/fields/values" }, "step": { "$ref": "#/definitions/fields/step" }, "unit": { "$ref": "#/definitions/fields/unit" }, "reference_system": { "$ref": "#/definitions/fields/reference_system_spatial" } } }, "temporal_dimension": { "title": "Temporal Dimension Object", "type": "object", "required": [ "type", "extent" ], "not": { "required": ["axis"] }, "properties": { "type": { "type": "string", "const": "temporal" }, "description": { "$ref": "#/definitions/fields/description" }, "values": { "type": "array", "minItems": 1, "items": { "type": "string" } }, "extent": { "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "string", "null" ] } }, "step": { "type": [ "string", "null" ] } } } }, "fields": { "type_spatial": { "type": "string", "const": "spatial" }, "axis_xy": { "type": "string", "enum": [ "x", "y" ] }, "axis_z": { "type": "string", "const": "z" }, "extent_closed": { "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": "number" } }, "extent_open": { "type": "array", "minItems": 2, "maxItems": 2, "items": { "type": [ "number", "null" ] } }, "values_numeric": { "type": "array", "minItems": 1, "items": { "type": "number" } }, "values": { "type": "array", "minItems": 1, "items": { "oneOf": [ { "type": "number" }, { "type": "string" } ] } }, "step": { "type": [ "number", "null" ] }, "unit": { "type": "string" }, "reference_system_spatial": { "type": [ "string", "number", "object" ], "default": 4326 }, "description": { "type": "string" } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/eo/000077500000000000000000000000001517436701200230545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/eo/README.md000077500000000000000000000254231517436701200243440ustar00rootroot00000000000000# Electro-Optical Extension Specification - **Title: Electro-Optical** - **Identifier: eo** - **Field Name Prefix: eo** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Pilot** This document explains the fields of the STAC Electro-Optical (EO) Extension to a STAC Item. EO data is considered to be data that represents a snapshot of the earth for a single date and time. It could consist of multiple spectral bands in any part of the electromagnetic spectrum. Examples of EO data include sensors with visible, short-wave and mid-wave IR bands (e.g., the OLI instrument on Landsat-8), long-wave IR bands (e.g. TIRS aboard Landsat-8). **Note:** This extension used to be called Earth Observation with a much broader scope (including Synthetic Aperture Radar (SAR), etc). The decision was made to limit this to what was already its natural focus, and encourage other sensors to make their own extensions. Once that happens some of these fields will evolve to higher level extensions. In the meantime other implementations are welcome to reuse the names and definitions here. A lot of EO data will have common metadata across many Items. It is not necessary, but recommended to use the [Commons extension](../commons/README.md) (see chapter "Placing common fields in Collections"). If the data has been collected by a satellite, it is strongly recommended to use the [`sat` extension](../sat/README.md), which in turn requires the [Instrument Fields](../../item-spec/common-metadata.md#instrument). If the data has been collected on an airborne platform it is strongly recommended to use the [Instrument Fields](../../item-spec/common-metadata.md#instrument). For defining view geometry of data, it is strongly recommended to use the [`view` extension](../view/README.md). - [Example (Landsat 8)](examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) ## Item fields | Field Name | Type | Description | | ---------------- | ------------------------ | ----------- | | eo:gsd | number | **REQUIRED.** Ground Sample Distance at the sensor. | | eo:bands | [[Band Object](#band-object)] | **REQUIRED.** This is a list of the available bands where each item is a [Band Object](#band-object). | | eo:cloud_cover | number | Estimate of cloud cover as a percentage (0-100) of the entire scene. If not available the field should not be provided. | ### Ground Sampling Distance **eo:gsd** is the nominal Ground Sample Distance for the data, as measured in meters on the ground. There are many definitions of GSD. The value of this attribute should be related to the spatial resolution at the sensor, rather than the pixel size of images after orthorectification, pansharpening, or scaling. The GSD of a sensor can vary depending on off-nadir and wavelength, so it is at the discretion of the implementer to decide which value most accurately represents the GSD. For example, Landsat8 optical and short-wave IR bands are all 30 meters, but the panchromatic band is 15 meters. The `eo:gsd` should be 30 meters in this case because that is nominal spatial resolution at the sensor. The Planet PlanetScope Ortho Tile Product has an `eo:gsd` of 3.7 (or 4 if rounding), even though the pixel size of the images is 3.125. For example, one might choose for WorldView-2 the Multispectral 20° off-nadir value of 2.07 and for WorldView-3 the Multispectral 20° off-nadir value of 1.38. ### Band Object | Field Name | Type | Description | | ------------------- | ------ | ------------------------------------------------------------ | | name | string | The name of the band (e.g., "B01", "B02", "B1", "B5", "QA"). | | common_name | string | The name commonly used to refer to the band to make it easier to search for bands across instruments. See the [list of accepted common names](#common-band-names). | | description | string | Description to fully explain the band. [CommonMark 0.29](http://commonmark.org/) syntax MAY be used for rich text representation. | | center_wavelength | number | The center wavelength of the band, in micrometers (μm). | | full_width_half_max | number | Full width at half maximum (FWHM). The width of the band, as measured at half the maximum transmission, in micrometers (μm). | **full_width_half_max** (FWHM) is a common way to describe the size of a spectral band. It is the width, in micrometers (μm), of the bandpass measured at a half of the maximum transmission. Thus, if the maximum transmission of the bandpass was 80%, the FWHM is measured as the width of the bandpass at 40% transmission. #### Common Band Names The band's common_name is the name that is commonly used to refer to that band's spectral properties. The table below shows the common name based on the average band range for the band numbers of several popular instruments. | Common Name | Band Range (μm) | Landsat 5/7 | Landsat 8 | Sentinel 2 | MODIS | | ----------- | --------------- | ----------- | --------- | ---------- | ----- | | coastal | 0.40 - 0.45 | | 1 | 1 | | | blue | 0.45 - 0.50 | 1 | 2 | 2 | 3 | | green | 0.50 - 0.60 | 2 | 3 | 3 | 4 | | red | 0.60 - 0.70 | 3 | 4 | 4 | 1 | | yellow | 0.58 - 0.62 | | | | | | pan | 0.50 - 0.70 | 8 (*L7 only*) | 8 | | | | rededge | 0.70 - 0.75 | | | | | | nir | 0.75 - 1.00 | 4 | | 8 | 2 | | nir08 | 0.75 - 0.90 | | 5 | 8a | | | nir09 | 0.85 - 1.05 | | | 9 | | | cirrus | 1.35 - 1.40 | | 9 | 10 | 26 | | swir16 | 1.55 - 1.75 | 5 | 6 | 11 | 6 | | swir22 | 2.10 - 2.30 | 7 | 7 | 12 | 7 | | lwir | 10.5 - 12.5 | 6 | | | | | lwir11 | 10.5 - 11.5 | | 10 | | 31 | | lwir12 | 11.5 - 12.5 | | 11 | | 32 | The difference between the `nir`, `nir08`, and `nir09` bands are that the `nir` band is a wider band that covers most of the spectral range of 0.75μm to 1.0μm. `nir08` and `nir09` are narrow bands centered 0.85μm and 0.95μm respectively. The same goes for the difference between `lwir`, `lwir11` and `lwir12`. ## Associating assets with bands Asset definitions that contain band data should reference the band index. Each asset should provide a `eo:bands` property that is an array of 0 based indexes to the correct [Band Objects](#band-object). ### Item [`Asset Object`](../../item-spec/item-spec.md#asset-object) fields | Field Name | Type | Description | | ---------- | -------- | -------------------------------------------- | | eo:bands | [number] | Lists the band names available in the asset. | See [example-landsat8.json](examples/example-landsat8.json) for a full example. ``` { "stac_version": "0.9.0", "stac_extensions": ["eo"], "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "type": "Feature", ... "properties": { ... "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 }, ... ] }, "assets": { "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [0], "title": "Band 1 (coastal)" }, "B2": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [1], "title": "Band 2 (blue)" }, "B3": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [2], "title": "Band 3 (green)" }, ... } } ``` Planet example: ``` { "stac_version": "0.9.0", "stac_extensions": ["eo"], "id": "20171110_121030_1013", "type": "Feature", ... "properties": { ... "eo:bands": [ { "full_width_half_max": 0.08, "center_wavelength": 0.63, "common_name": "red" }, { "full_width_half_max": 0.09, "center_wavelength": 0.545, "common_name": "green" }, { "full_width_half_max": 0.06, "center_wavelength": 0.485, "common_name": "blue" }, { "full_width_half_max": 0.08, "center_wavelength": 0.82, "common_name": "nir" } ] }, "assets": { "analytic": { "href": "https://api.planet.com/data/v1/assets/eyJpIjogIjIwMTcxMTEwXzEyMTAxMF8xMDEzIiwgImMiOiAiUFNTY2VuZTRCYW5kIiwgInQiOiAiYW5hbHl0aWMiLCAiY3QiOiAiaXRlbS10eXBlIn0", "title": "PSScene4Band GeoTIFF (COG)", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [0,1,2,3] } } } ``` ## Implementations A number of implementations listed on [STAC Implementations page](../../implementations.md) are making use of the core EO properties, including the SpaceNet, CBERS, sat-api and Planet implementations. This is not marked as more mature because the eo:bands portion is still being fleshed out. ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to EO data: * the [Sat Extension Specification](../sat/README.md) to describe SAR data collected from a satellite. * the [View Geometry Extension Specification](../view/README.md) to describe angles of sensors collecting earth observation data from above the earth. ### Placing common fields in Collections A lot of EO data will have common metadata across many Items. It is not necessary, but recommended to use the [Commons extension](../commons/README.md) in combination with [STAC Collections](../../collection-spec/README.md). The exact metadata that would appear in a STAC Collection record will vary depending on the dataset. stac-validator-4.2.2/tests/test_data/v090/extensions/eo/examples/000077500000000000000000000000001517436701200246725ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/eo/examples/example-landsat8.json000077500000000000000000000213771517436701200307510ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "eo", "view" ], "id": "LC08_L1TP_107018_20181001_20181001_01_RT", "collection": "landsat-8-l1", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "platform": "landsat-8", "instrument": ["oli", "tirs"], "datetime": "2018-10-01T01:08:32.033Z", "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "view:off_nadir": 0, "landsat:path": 107, "landsat:row": 18, "eo:gsd": 30, "eo:cloud_cover": 78, "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ] }, "assets": { "ANG": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_ANG.txt", "title": "Angle coefficients file", "type": "text/plain" }, "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)" }, "B2": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 1 ], "title": "Band 2 (blue)" }, "B3": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 2 ], "title": "Band 3 (green)" }, "B4": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 3 ], "title": "Band 4 (red)" }, "B5": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B5.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 4 ], "title": "Band 5 (nir)" }, "B6": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B6.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 5 ], "title": "Band 6 (swir16)" }, "B7": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B7.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 6 ], "title": "Band 7 (swir22)" }, "B8": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B8.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 7 ], "title": "Band 8 (pan)" }, "B9": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B9.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 8 ], "title": "Band 9 (cirrus)" }, "B10": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B10.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 9 ], "title": "Band 10 (lwir)" }, "B11": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B11.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 10 ], "title": "Band 11 (lwir)" }, "BQA": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_BQA.TIF", "title": "Band quality data", "type": "image/tiff; application=geotiff" }, "MTL": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_MTL.txt", "title": "original metadata file", "type": "text/plain" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "self", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/search?id=LC08_L1TP_107018_20181001_20181001_01_RT" }, { "rel": "parent", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/stac/collections/landsat-8-l1" }, { "rel": "root", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/stac" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/eo/json-schema/000077500000000000000000000000001517436701200252635ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/eo/json-schema/schema.json000077500000000000000000000041661517436701200274300ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "EO Extension", "description": "STAC EO Extension to a STAC Item.", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/eo" } ], "definitions": { "eo": { "type": "object", "required": [ "properties", "assets" ], "properties": { "properties": { "type": "object", "required": [ "eo:gsd", "eo:bands" ], "properties": { "eo:gsd": { "title": "Ground Sample Distance", "type": "number" }, "eo:bands": { "title": "Bands", "type": "array", "items": { "properties": { "name": { "title": "Name of the band", "type": "string" }, "common_name": { "title": "Common Name of the band", "type": "string" }, "center_wavelength": { "title": "Center Wavelength", "type": "number" }, "full_width_half_max": { "title": "Full Width Half Max (FWHM)", "type": "number" } } } }, "eo:cloud_cover": { "title": "Cloud Cover", "type": "number", "minimum": 0, "maximum": 100 } } }, "assets": { "type": "object", "additionalProperties": { "type": "object", "properties": { "eo:bands": { "title": "Band References", "type": "array", "minItems": 1, "items": { "type": "integer", "minimum": 0 } } } } } } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/label/000077500000000000000000000000001517436701200235305ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/label/README.md000077500000000000000000000331471517436701200250220ustar00rootroot00000000000000# Label Extension Specification - **Title: Label** - **Identifier: label** - **Field Name Prefix: label** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This extension is meant to support using labeled AOIs with Machine Learning models, particularly training data sets, but can be used in any application where labeled AOIs are needed. This document explains the fields of the STAC Label Extension to a STAC Item. It is used to describe labeled Areas of Interest (AOIs) that are used with earth observation imagery. These labels can take several forms, though all are expected to be contained with a GeoJSON `FeatureCollection`: - **Tile classification labels:** A GeoJSON `FeatureCollection` with a single `Feature`. This feature's geometry should match the bounds of the labeled image tile, and a `Feature` property should define the class (see below). - **Tile regression labels:** A GeoJSON `FeatureCollection` with a single `Feature`. This feature's geometry should match the bounds of the labeled image tile, and a `Feature` property should define the regression value (see below). - **Object detection labels:** A GeoJSON `FeatureCollection` containing rectangular bounding boxes (as `Polygon` geometry `Feature`s) defining the bounds of an object of interest (e.g. a car). A `Feature` property **must** define the class of the object labeled. Additional `Feature` properties may be defined for additional metadata. - **Segmentation labels:** A GeoJSON `FeatureCollection` containing `Polygon` geometry `Feature`s that trace the boundaries of objects of interest (e.g. buildings, vegetation, bodies of water), or raster-formatted pixel masks defining pixel classes. (See [raster label notes](#raster-label-notes)) ## Examples **Roads:** - [Example Roads Item](examples/spacenet-roads/roads_item.json) - [Example Roads Asset (labels)](examples/spacenet-roads/spacenetroads_AOI_3_Paris_img101.geojson) - [Example Roads Source Imagery Item](examples/spacenet-roads/roads_source.json) - [Example Roads Collection](examples/spacenet-roads/roads_collection.json) **Buildings:** - [Example Collection of Two Building Footprint Label Catalogs](examples/multidataset/catalog.json) - [Example SpaceNet Buildings Collection](examples/multidataset/spacenet-buildings/collection.json) - [Example SpaceNet Buildings (Vegas) Item](examples/multidataset/spacenet-buildings/AOI_2_Vegas_img2636.json) - [Example SpaceNet Buildings (Paris) Item](examples/multidataset/spacenet-buildings/AOI_3_Paris_img1648.json) - [Example SpaceNet Buildings (Shanghai) Item](examples/multidataset/spacenet-buildings/AOI_4_Shanghai_img3344.json) - [Example World Bank Zanzibar Buildings Collection](examples/multidataset/zanzibar/collection.json) - [Example World Bank Zanzibar Building Item 1](examples/multidataset/zanzibar/znz001.json) - [Example World Bank Zanzibar Building Item 2](examples/multidataset/zanzibar/znz029.json) ## Schema - [JSON Schema](json-schema/schema.json) ## Item fields A Label Item represents a polygon, set of polygons, or raster data defining labels and label metadata and should be part of a Collection. See the [raster label notes](#raster-label-notes) section below for details on raster-formatted labels. It is up to the data provider how to group their catalog, but a typical use might have a Collection of a series of label sets (Items) that are related. For example a "Building" collection might have 50 Items, each one was a set of building AOIs for a single country. The Collection holds details on the data providers and the license. Like other content extensions, the Label extension adds additional fields to a STAC Item, which are detailed after some additional clarification on what the core fields mean with respect to a Label Item. ### Core Item fields Some additional notes are given here for some of the core STAC Item fields and what they represent for label. - **bbox** and **geometry**: The bounding box and the geometry of a Label Item represents the region for which the label(s) is/are valid. This could be the extent of all the AOIs in the dataset, or could be the region the provider believes the label is representative. - **properties.datetime**: The datetime of a Label Item is the nominal datetime for which the label applies, typically this is the datetime of the source imagery used to generate the labels. If the label applies over a range of datetimes (e.g., generated from multiple source images) then use the [Date and Time Range fields](../../item-spec/common-metadata.md#date-and-time-range) to indicate start and end datetimes. - **assets**: The label assets are GeoJSON FeatureCollection assets containing the actual label features. As with the core STAC Item a thumbnail asset is also strongly encouraged. ### New Item properties | element | type info | name | description | |-------------------|----------------------|----------------------------|--------------------------------------------------------------------------------------------------| | label:properties | [string\|null] | Name | **REQUIRED** These are the names of the property field(s) in each `Feature` of the label asset's `FeatureCollection` that contains the classes (keywords from `label:classes` if the property defines classes). If labels are rasters, use `null`. | | label:classes | [[Class Object](#class-object)] | Classes | **REQUIRED** if using categorical data. A Class Object defining the list of possible class names for each `label:properties`. (e.g., tree, building, car, hippo)| | label:description | string | Description | **REQUIRED** A description of the label, how it was created, and what it is recommended for | | label:type | string | Type | **REQUIRED** An ENUM of either `vector` label type or `raster` label type | | label:tasks | [string] | Task | Recommended to be a subset of 'regression', 'classification', 'detection', or 'segmentation', but may be an arbitrary value | | label:methods | [string] | Method | Recommended to be a subset of 'automated' or 'manual', but may be an arbitrary value. | | label:overviews | [[Label Overview Object](#label-overview-object)] | Overview | An Object storing counts (for classification-type data) or summary statistics (for continuous numerical/regression data). | #### Class Object | Field Name | Type | name | description | |-----------------|----------------------|----------------------------|--------------------------------------------------------------------------------------------------| | name | string\|null | Name | The property key within the asset's each `Feature` corresponding to class labels. If labels are raster-formatted, use null.| | classes | [string\|number] | Classes | The different possible class values within the property `name`. | #### Label Overview Object | Field Name | Type | name | description | |-----------------| ------------------------------- |----------------------------|--------------------------------------------------------------------------------------------------| | property_key | string | Property Key | The property key within the asset corresponding to class labels. | | counts | [[Count Object](#count-object)] | Counts | An object containing counts for categorical data. | | statistics | [[Stats Object](#stats-object)] | Statistics | An object containing statistics for regression/continuous numeric value data. | `label:overviews ` generally won't have both counts and statistics, but one of the two. #### Count Object | Field Name | Type | name | description | |-----------------|-----------------|----------------------------|--------------------------------------------------------------------------------------------------| | name | string | Class Name | The different possible classes within the property `name`. | | count | integer | Count | The number of occurrences of the class. ```json { "property_key": "road_type", "counts": [ { "name": "dirt", "count": 10 }, { "name": "paved", "count": 99 } ] } ``` #### Stats Object | Field Name | Type | name | description | |-----------------|------------|----------------------------|--------------------------------------------------------------------------------------------------| | name | string | Stat Name | The name of the statistic being reported. | | value | number | Value | The value of the statistic `name`. | ```json { "property_key": "elevation", "statistics": [ { "name": "mean", "value": 100.1 }, { "name": "median", "value": 102.3 }, { "name": "max", "value": 100000 } ] } ``` #### Assets ##### labels (required) The Label Extension requires at least one asset that uses the key "labels". The asset will contain a link to the actual label data. The asset has these requirements: - is a GeoJSON FeatureCollection - if `label:tasks` is tile_classification, object_detection, or segmentation, each feature should have one or more properties containing the label(s) for the class (one of `label:classes`). the name of the property can be anything (use "label" if making from scratch), but needs to be specified in the `Item` with the `label:properties` field. - if `label:tasks` is tile_regression, each feature should have one or more properties defining the value for regression. the name of the property can be anything (use "label" if making from scratch), but needs to be specified in the `Item` with the `label:properties` field. ##### Raster Label Notes If the labels are formatted as rasters - for example, a pixel mask with 1s where there is water and 0s where there is land - the following approach is recommended for including those data. The raster label file (e.g. a GeoTIFF) should be included as an asset under the item. Along with the image file, a GeoJSON `FeatureCollection` asset should be included. That `FeatureCollection` should contain a single `Feature`, ideally a polygon geometry defining the extent of the raster. ##### Rendered images (optional) The source imagery used for creating the label is linked to under `links` (see below). However the source imagery is likely to have been rendered in some way when creating the training data. For instance, a byte-scaled true color image may have been created from the source imagery. It may be useful to save this image and include it as an asset in the `Item`. #### Links: source imagery A Label Item links to any source imagery that the AOI applys to by linking to the STAC Item representing the imagery. Source imagery is indicated by using a `rel` type of "source" and providing the link to the STAC Item. In addition the source imagery link has a new label extension specific field: | element | type info | name | description | |-----------------|-----------------|----------------------------|--------------------------------------------------------------------------------------------------| | label:assets | [string] | Assets | The keys for the assets within the `source` item to which this label item applies. | The `label:assets` field applies to situations where the labels may apply to certain assets inside the source imagery Item, but not others (e.g. if the labels were traced on top of RGB imagery, but the source item also contains assets for a Digital Elevation Model). ## Implementations The SpaceNet Challenge Round 2 dataset has a [STAC catalog](https://spacenet-dataset.s3.amazonaws.com/spacenet-stac/SN2_buildings/catalog.json) generated using [PySTAC](https://pystac.readthedocs.io/en/latest) containing Label Items. Further example implementations can be found in [Examples](#Examples). The Roads implementation provides an example item for labels from the [SpaceNet Road Network Extraction Challenge Dataset](https://spacenet.ai/spacenet-roads-dataset/), providing segmentation labels for road networks. The Misc Samples implementation provides an example catalog of collections with sample label items from several training datasets, [SpaceNet Buildings](https://spacenet.ai/spacenet-buildings-dataset-v2/) and [Open AI Tanzania Building Footprint Segmentation Challenge](https://competitions.codalab.org/competitions/20100) for now, providing segmentation labels for buildings. [Raster Foundry](https://rasterfoundry.azavea.com/) supports exporting STAC-compliant training data label items, assets, and sources in a self-contained `zip` file and as an s3 directory when initiated from an internal annotation and labeling tool. [PySTAC](https://pystac.readthedocs.io/en/latest/) supports [reading/writing](https://pystac.readthedocs.io/en/latest/tutorials/how-to-create-stac-catalogs.html#Adding-label-items-to-the-Spacenet-5-catalog) STAC collections according to this extension. ## Extensions While the EO extension doesn't make sense within a Label Item itself, most Label Items will link to source data which will frequently use the EO Extension. The [extensions page](../README.md) gives an overview about these and other extensions. stac-validator-4.2.2/tests/test_data/v090/extensions/label/examples/000077500000000000000000000000001517436701200253465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/label/examples/multidataset/000077500000000000000000000000001517436701200300465ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/label/examples/multidataset/catalog.json000077500000000000000000000007471517436701200323660ustar00rootroot00000000000000{ "id": "label_extension_demo", "title": "label extension demo", "description": "Sample ML training data labels in the STAC format", "stac_version": "0.9.0", "links": [ { "rel": "root", "href": "./catalog.json" }, { "rel": "child", "href": "zanzibar/collection.json" }, { "rel": "child", "href": "spacenet-buildings/collection.json" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/label/examples/multidataset/spacenet-buildings/000077500000000000000000000000001517436701200336265ustar00rootroot00000000000000AOI_2_Vegas_img2636.json000077500000000000000000000044761517436701200376130ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/label/examples/multidataset/spacenet-buildings{ "stac_version": "0.9.0", "stac_extensions": [ "label", "version" ], "id": "AOI_2_Vegas_img2636", "type": "Feature", "bbox": [ -115.23556259985658, 36.12654269972625, -115.23412932899998, 36.12829769972975 ], "geometry": { "type": "Polygon", "coordinates": [ [ -115.23556259985658, 36.12654269972625 ], [ -115.23556259985658, 36.12829769972975 ], [ -115.23412932899998, 36.12829769972975 ], [ -115.23412932899998, 36.12654269972625 ] ] }, "assets": { "labels": { "title": "AOI_2_Vegas_img2636_label", "href": "https://spacenet-dataset.s3.amazonaws.com/spacenet/SN2_buildings/train/AOI_2_Vegas/geojson_buildings/SN2_buildings_train_AOI_2_Vegas_geojson_buildings_img2636.geojson", "type": "application/geo+json", "license": "CC-BY-SA-4.0" }, "raster": { "title": "AOI_2_Vegas_img2636_previewcog", "href": "https://spacenet-dataset.s3.amazonaws.com/AOIs/AOI_2_Vegas/PS-MS/AOI_2_Vegas_PS-MS_COG.tif", "type": "image/tiff; 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"http://json-schema.org/draft-07/schema#", "id": "stac-label-item-schema.json#", "title": "STAC Label Data Item Extension Spec", "type": "object", "properties": { "properties": { "type": "object", "required": [ "label:properties", "label:classes", "label:description" ], "properties": { "label:properties": { "title": "Property", "type": "array", "items": { "type": "string" } }, "label:classes": { "title": "Classes", "type": "array", "items": { "type": "object", "required": [ "name", "classes" ], "properties": { "name": { "title": "Name", "type": "string" }, "classes": { "title": "Classes", "type": "array", "items": { "type": "string" } } } } }, "label:description": { "title": "Description", "type": "string" }, "label:type": { "title": "Type", "type": "string", "enum": [ "raster", "vector" ] }, "label:tasks": { "title": "Task", "type": "array", "items": { "type": "string" } }, "label:methods": { "title": "Method", "type": "array", "items": { "type": "string", "enum": [ "automated", "manual" ] } }, "label:overviews": { "title": "Overview", "type": "array", "items": { "type": "object", "properties": { "property_key": { "title": "Property Key", "type": "string" }, "counts": { "title": "Counts", "type": "array", "items": { "type": "object", "properties": { "name": { "title": "Class Name", "type": "string" }, "count": { "title": "Count", "type": "integer" } } } }, "statistics": { "title": "Statistics", "type": "array", "items": { "type": "object", "properties": { "name": { "title": "Stat Name", "type": "string" }, "value": { "title": "Value", "type": "number" } } } } } } } } } } } stac-validator-4.2.2/tests/test_data/v090/extensions/pointcloud/000077500000000000000000000000001517436701200246315ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/pointcloud/README.md000077500000000000000000000054121517436701200261150ustar00rootroot00000000000000# Point Cloud Extension Specification - **Title: Point Cloud** - **Identifier: pointcloud** - **Field Name Prefix: pc** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the Point Cloud Extension to a STAC Item, which allows STAC to more fully describe point cloud datasets. The point clouds can come from either active or passive sensors, and data is frequently acquired using tools such as LiDAR or coincidence-matched imagery. - [Example](examples/example-autzen.json) - JSON Schema is missing. PRs are welcome. ## Item Fields | Field Name | Type | Description | | ------------- | --------------------------------- | ----------- | | pc:count | integer | **REQUIRED.** The number of points in the item. | | pc:type | string | **REQUIRED.** Phenomenology type for the point cloud. Possible valid values might include `lidar`, `eopc`, `radar`, `sonar`, or `other` | | pc:encoding | string | **REQUIRED.** Content encoding or format of the data. | | pc:schemas | [[Schema Object](#schema-object)] | **REQUIRED.** A sequential array of items that define the dimensions and their types. | | pc:density | number | Number of points per square unit area. | | pc:statistics | [[Stats Object](#stats-object)] | A sequential array of items mapping to `pc:schemas` defines per-channel statistics. | ### Schema Object A sequential array of items that define the dimensions or channels of the point cloud, their types, and their sizes (in full bytes). | Field Name | Type | Description | | ---------- | ------- | -------------------------- | | name | string | **REQUIRED.** The name of the dimension. | | size | integer | **REQUIRED.** The size of the dimension in bytes. Whole bytes only are supported.| | type | string | **REQUIRED.** Dimension type. Valid values include `floating`, `unsigned`, and `signed`| ### Stats Object A sequential array of items mapping to `pc:schemas` defines per-channel statistics. All fields are optional. | Field Name | Type | Description | | ---------- | ------- | ----------- | | average | number | The average of the channel. | | count | integer | The number of elements in the channel. | | maximum | number | The maximum value of the channel. | | minimum | number | The minimum value of the channel. | | name | string | The name of the channel. | | position | integer | Position of the channel in the schema.| | stddev | number | The standard deviation of the channel. | | variance | number | The variance of the channel. | ## Implementations None yet, still in proposal stage. stac-validator-4.2.2/tests/test_data/v090/extensions/pointcloud/examples/000077500000000000000000000000001517436701200264475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/pointcloud/examples/example-autzen.json000077500000000000000000000143211517436701200323050ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "pointcloud" ], "assets": 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"type": "unsigned" }, { "name": "Classification", "size": 1, "type": "unsigned" }, { "name": "ScanAngleRank", "size": 4, "type": "floating" }, { "name": "UserData", "size": 1, "type": "unsigned" }, { "name": "PointSourceId", "size": 2, "type": "unsigned" }, { "name": "GpsTime", "size": 8, "type": "floating" }, { "name": "Red", "size": 2, "type": "unsigned" }, { "name": "Green", "size": 2, "type": "unsigned" }, { "name": "Blue", "size": 2, "type": "unsigned" } ], "pc:statistics": [ { "average": 637294.1783, "count": 10653336, "maximum": 639003.73, "minimum": 635577.79, "name": "X", "position": 0, "stddev": 967.9329805, "variance": 936894.2548 }, { "average": 851247.6953, "count": 10653336, "maximum": 853537.66, "minimum": 848882.15, "name": "Y", "position": 1, "stddev": 1322.356387, "variance": 1748626.415 }, { "average": 434.1025002, "count": 10653336, "maximum": 615.26, "minimum": 406.14, "name": "Z", "position": 2, "stddev": 24.67893148, "variance": 609.0496589 }, { "average": 77.14742312, "count": 10653336, "maximum": 254, "minimum": 0, "name": "Intensity", "position": 3, "stddev": 62.62422344, "variance": 3921.793362 }, { "average": 1.17801438, "count": 10653336, "maximum": 4, "minimum": 1, "name": "ReturnNumber", "position": 4, "stddev": 0.4653418642, "variance": 0.2165430505 }, { "average": 1.358579791, "count": 10653336, "maximum": 4, "minimum": 1, "name": "NumberOfReturns", "position": 5, "stddev": 0.6656066447, "variance": 0.4430322055 }, { "average": 0.4989654884, "count": 10653336, "maximum": 1, "minimum": 0, "name": "ScanDirectionFlag", "position": 6, "stddev": 0.4999993213, "variance": 0.2499993213 }, { "average": 0, "count": 10653336, "maximum": 0, "minimum": 0, "name": "EdgeOfFlightLine", "position": 7, "stddev": 0, "variance": 0 }, { "average": 1.256686262, "count": 10653336, "maximum": 2, "minimum": 1, "name": "Classification", "position": 8, "stddev": 0.436805292, "variance": 0.1907988632 }, { "average": -0.812061405, "count": 10653336, "maximum": 20, "minimum": -21, "name": "ScanAngleRank", "position": 9, "stddev": 8.484319324, "variance": 71.98367439 }, { "average": 126.4052859, "count": 10653336, "maximum": 156, "minimum": 115, "name": "UserData", "position": 10, "stddev": 3.833000243, "variance": 14.69189086 }, { "average": 7329.903705, "count": 10653336, "maximum": 7334, "minimum": 7326, "name": "PointSourceId", "position": 11, "stddev": 3.107430355, "variance": 9.656123408 }, { "average": 121.3214254, "count": 10653336, "maximum": 255, "minimum": 35, "name": "Red", "position": 12, "stddev": 45.56263834, "variance": 2075.954013 }, { "average": 126.2526972, "count": 10653336, "maximum": 255, "minimum": 49, "name": "Green", "position": 13, "stddev": 36.85451838, "variance": 1358.255525 }, { "average": 111.2207554, "count": 10653336, "maximum": 255, "minimum": 49, "name": "Blue", "position": 14, "stddev": 31.95561927, "variance": 1021.161603 }, { "average": 247608.4011, "count": 10653336, "maximum": 249783.703, "minimum": 245369.8966, "name": "GpsTime", "position": 15, "stddev": 1178.538827, "variance": 1388953.768 } ], "pc:type": "lidar", "title": "USGS 3DEP LiDAR" }, "type": "Feature" } stac-validator-4.2.2/tests/test_data/v090/extensions/projection/000077500000000000000000000000001517436701200246255ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/projection/README.md000077500000000000000000000140151517436701200261100ustar00rootroot00000000000000# Projection Extension Specification - **Title: Projection** - **Identifier: projection** - **Field Name Prefix: proj** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the STAC Projection (`proj`) Extension to a STAC Item. Here `proj` is short for "projection", and not a reference to the use of the PROJ/PROJ4 formats. The field names defined herein should be added as fields in the Item Properties object. When specified on an Item, the values are assumed to apply to all Assets in that Item. For example, an Item may have several related Assets each representing a band or layer for the Item, and which typically all use the same CRS, e.g. a UTM Zone. However, there may also be assets intended for display, like a preview image or thumbnail, that have been reprojected to a different CRS, e.g., Web Mercator, to better accommodate that use case. This case of differing projections per Asset is not currently handled by this extension. ## Examples - [Example Landsat8](examples/example-landsat8.json) ## Schema - [JSON Schema](json-schema/schema.json) ## Item Properties fields | Field Name | Type | Description | | ---------------- | ------------------------ | ----------- | | proj:epsg | integer\|null | **Required** [EPSG code](http://www.epsg-registry.org/) of the datasource | | proj:proj4 | string \|null | PROJ4 string representing the Coordinate Reference System (CRS) that the `proj:geometry` and `proj:bbox` fields represent | | proj:wkt2 | string \|null | WKT2 string representing the Coordinate Reference System (CRS) that the `proj:geometry` and `proj:bbox` fields represent | | proj:projjson | [PROJJSON Object](https://proj.org/usage/projjson.html) \|null | PROJJSON object representing the Coordinate Reference System (CRS) that the `proj:geometry` and `proj:bbox` fields represent | | proj:geometry | [Polygon Object](https://geojson.org/schema/Polygon.json) | Defines the footprint of this Item. | | proj:bbox | [number] | Bounding box of the Item in the asset CRS in 2 or 3 dimensions. | | proj:centroid | Centroid Object | Coordinates representing the centroid of the Item in the asset CRS | **proj:epsg** - A Coordinate Reference System (CRS) is the data reference system (sometimes called a 'projection') used by the asset data, and can usually be referenced using an [EPSG code](http://epsg.io). If the asset data does not have a CRS, such as in the case of non-rectified imagery with Ground Control Points, `proj:epsg` should be set to null. It should also be set to null if a CRS exists, but for which there is no valid EPSG code. **proj:proj4** - A Coordinate Reference System (CRS) is the data reference system (sometimes called a 'projection') used by the asset data. This value is a PROJ4 string. If the data does not have a CRS, such as in the case of non-rectified imagery with Ground Control Points, `proj:proj4` should be set to null. It should also be set to null if a CRS exists, but for which a PROJ4 string does not exist. **proj:wkt2** - A Coordinate Reference System (CRS) is the data reference system (sometimes called a 'projection') used by the asset data. This value is a WKT2 string. If the data does not have a CRS, such as in the case of non-rectified imagery with Ground Control Points, proj:wkt2 should be set to null. It should also be set to null if a CRS exists, but for which a WKT2 string does not exist. **proj:projjson** - A Coordinate Reference System (CRS) is the data reference system (sometimes called a 'projection') used by the asset data. This value is a [PROJJSON](https://proj.org/usage/projjson.html) object. If the data does not have a CRS, such as in the case of non-rectified imagery with Ground Control Points, proj:projjson should be set to null. It should also be set to null if a CRS exists, but for which a PROJJSON string does not exist. The schema for this object can be found [here](https://proj.org/schemas/v0.1/projjson.schema.json). **proj:geometry** - A Polygon object representing the footprint of this item, formatted according the Polygon object format specified in [RFC 7946, sections 3.1.6](https://tools.ietf.org/html/rfc7946), except not necessarily in EPSG:4326 as required by RFC7946. Specified based on the `proj:proj4` field (not necessarily EPSG:4326). Ideally, this will be represented by a Polygon with five coordinates, as the item in the asset data CRS should be a square aligned to the original CRS grid. **proj:bbox** - Bounding box of the assets represented by this item in the asset data CRS. Specified as 4 or 6 coordinates based on the CRS defined in the `proj:epsg` and `proj:proj4` fields. First two numbers are coordinates of the lower left corner, followed by coordinates of upper right corner, , e.g., \[west, south, east, north], \[xmin, ymin, xmax, ymax], \[left, down, right, up], or \[west, south, lowest, east, north, highest]. The length of the array must be 2*n where n is the number of dimensions. The array contains all axes of the southwesterly most extent followed by all axes of the northeasterly most extent specified in Longitude/Latitude or Longitude/Latitude/Elevation based on [WGS 84](http://www.opengis.net/def/crs/OGC/1.3/CRS84). When using 3D geometries, the elevation of the southwesterly most extent is the minimum elevation in meters and the elevation of the northeasterly most extent is the maximum in meters. **proj:centroid** - Coordinates representing the centroid of the item in the asset data CRS. Coordinates are defined in latitude and longitude, even if the data coordinate system does not use lat/long. ## Centroid Object This object represents the centroid of an item's geometry. | Field Name | Type | Description | | ------------------- | ------ | ------------------------------------------------------------ | | lat | number | The latitude of the centroid. | | lon | number | The longitude of the centroid. | stac-validator-4.2.2/tests/test_data/v090/extensions/projection/examples/000077500000000000000000000000001517436701200264435ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/projection/examples/example-landsat8.json000077500000000000000000000133201517436701200325070ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "eo", "proj" ], "id": "LC81530252014153LGN00", "type": "Feature", "collection": "landsat-8-l1", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "assets": { "B1": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B1.TIF", "type": "image/tiff; application=geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)" } }, "properties": { "datetime": "2018-10-01T01:08:32.033Z", "proj:epsg": 32614, "proj:proj4": "+proj=utm +zone=14 +datum=WGS84 +units=m +no_defs", "proj:wkt2": "PROJCS[\"WGS 84 / UTM zone 14N\",GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.01745329251994328,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4326\"]],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",-99],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],AUTHORITY[\"EPSG\",\"32614\"],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH]]", "proj:projjson": { "$schema": "https://proj.org/schemas/v0.1/projjson.schema.json", "type": "ProjectedCRS", "name": "WGS 84 / UTM zone 14N", "base_crs": { "name": "WGS 84", "datum": { "type": "GeodeticReferenceFrame", "name": "World Geodetic System 1984", "ellipsoid": { "name": "WGS 84", "semi_major_axis": 6378137, "inverse_flattening": 298.257223563 } }, "coordinate_system": { "subtype": "ellipsoidal", "axis": [ { "name": "Geodetic latitude", "abbreviation": "Lat", "direction": "north", "unit": "degree" }, { "name": "Geodetic longitude", "abbreviation": "Lon", "direction": "east", "unit": "degree" } ] }, "id": { "authority": "EPSG", "code": 4326 } }, "conversion": { "name": "UTM zone 14N", "method": { "name": "Transverse Mercator", "id": { "authority": "EPSG", "code": 9807 } }, "parameters": [ { "name": "Latitude of natural origin", "value": 0, "unit": "degree", "id": { "authority": "EPSG", "code": 8801 } }, { "name": "Longitude of natural origin", "value": -99, "unit": "degree", "id": { "authority": "EPSG", "code": 8802 } }, { "name": "Scale factor at natural origin", "value": 0.9996, "unit": "unity", "id": { "authority": "EPSG", "code": 8805 } }, { "name": "False easting", "value": 500000, "unit": "metre", "id": { "authority": "EPSG", "code": 8806 } }, { "name": "False northing", "value": 0, "unit": "metre", "id": { "authority": "EPSG", "code": 8807 } } ] }, "coordinate_system": { "subtype": "Cartesian", "axis": [ { "name": "Easting", "abbreviation": "E", "direction": "east", "unit": "metre" }, { "name": "Northing", "abbreviation": "N", "direction": "north", "unit": "metre" } ] }, "area": "World - N hemisphere - 102°W to 96°W - by country", "bbox": { "south_latitude": 0, "west_longitude": -102, "north_latitude": 84, "east_longitude": -96 }, "id": { "authority": "EPSG", "code": 32614 } }, "proj:geometry": { "coordinates": [ [ [ 169200.0, 3712800.0 ], [ 403200.0, 3712800.0 ], [ 403200.0, 3951000.0 ], [ 169200.0, 3951000.0 ], [ 169200.0, 3712800.0 ] ] ], "type": "Polygon" }, "proj:bbox": [ 169200.0, 3712800.0, 403200.0, 3951000.0 ], "proj:centroid": { "lat": 34.595302781575604, "lon": -101.34448382627504 }, "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 } ] }, "links": [ { "rel": "self", "href": "https://odu9mlf7d6.execute-api.us-east-1.amazonaws.com/stage/search?id=LC08_L1TP_107018_20181001_20181001_01_RT" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/projection/json-schema/000077500000000000000000000000001517436701200270345ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/projection/json-schema/schema.json000077500000000000000000000047151517436701200312010ustar00rootroot00000000000000{ "$schema":"http://json-schema.org/draft-07/schema#", "$id":"schema.json#", "title":"Projection Extension", "description":"STAC Projection Extension to a STAC Item", "allOf":[ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref":"#/definitions/proj" } ], "definitions":{ "proj":{ "type": "object", "required": [ "properties" ], "properties":{ "properties":{ "type":"object", "required":[ "proj:epsg" ], "properties":{ "proj:epsg":{ "title":"EPSG code", "type":[ "integer", "null" ] }, "proj:proj4":{ "title":"Coordinate Reference System in PROJ4 format", "type":[ "string", "null" ] }, "proj:wkt2":{ "title":"Coordinate Reference System in WKT2 format", "type":[ "string", "null" ] }, "proj:projjson": { "title":"Coordinate Reference System in PROJJSON format", "oneOf": [ { "$ref": "https://proj.org/schemas/v0.1/projjson.schema.json" }, { "type": "null" } ] }, "proj:geometry":{ "title":"Geometry", "oneOf": [ { "$ref": "https://geojson.org/schema/Polygon.json" } ] }, "proj:bbox":{ "title":"Extent", "type":"array", "minItems":4, "maxItems":6, "items":{ "type":"number" } }, "proj:centroid":{ "title":"Centroid", "type":"object", "required": [ "lat", "lon" ], "properties": { "lat": { "type": "number", "minimum": -90, "maximum": 90 }, "lon": { "type": "number", "minimum": -180, "maximum": 180 } } } } } } } } } stac-validator-4.2.2/tests/test_data/v090/extensions/sar/000077500000000000000000000000001517436701200232365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/sar/README.md000077500000000000000000000167051517436701200245310ustar00rootroot00000000000000# SAR Extension Specification - **Title: SAR** - **Identifier: sar** - **Field Name Prefix: sar** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the STAC Synthetic-Aperture Radar (SAR) Extension to a STAC Item. SAR data is considered to be data that represents a snapshot of the earth for a single date and time taken by a synthetic-aperture radar system such as Sentinel-1, RADARSAT or EnviSAT. If the data has been collected by a satellite, it is strongly recommended to use the [`sat` extension](../sat/README.md), which in turn requires the [Instrument Fields](../../item-spec/common-metadata.md#instrument). If the data has been collected on an airborne platform it is strongly recommended to use the [Instrument Fields](../../item-spec/common-metadata.md#instrument). To describe frame start and end times, use the [Date and Time Range fields](../../item-spec/common-metadata.md#date-and-time-range). It is not necessary, but recommended to use the [Commons extension](../commons/README.md) (see chapter "Placing common fields in Collections"). - [Examples](examples/) (for example [Sentinel-1](examples/sentinel1.json) and [Envisat](examples/envisat.json)) - [JSON Schema](json-schema/schema.json) ## Item fields **Note:** In the following specification *range* values are meant to be measured perpendicular to the flight path and *azimuth* values are meant to be measured parallel to the flight path. | Field Name | Type | Description | | ------------------------- | ------------- | ------------------------------------------------------------ | | sar:instrument_mode | string | **REQUIRED.** The name of the sensor acquisition mode that is commonly used. This should be the short name, if available. For example, `WV` for "Wave mode" of Sentinel-1 and Envisat ASAR satellites. | | sar:frequency_band | string | **REQUIRED.** The common name for the frequency band to make it easier to search for bands across instruments. See section "Common Frequency Band Names" for a list of accepted names. | | sar:center_frequency | number | The center frequency of the instrument, in gigahertz (GHz). | | sar:polarizations | [string] | **REQUIRED.** Any combination of polarizations. | | sar:product_type | string | **REQUIRED.** The product type, for example `SSC`, `MGD`, or `SGC` | | sar:resolution_range | number | The range resolution, which is the maximum ability to distinguish two adjacent targets perpendicular to the flight path, in meters (m). | | sar:resolution_azimuth | number | The azimuth resolution, which is the maximum ability to distinguish two adjacent targets parallel to the flight path, in meters (m). | | sar:pixel_spacing_range | number | The range pixel spacing, which is the distance between adjacent pixels perpendicular to the flight path, in meters (m). Strongly RECOMMENDED to be specified for products of type `GRD`. | | sar:pixel_spacing_azimuth | number | The azimuth pixel spacing, which is the distance between adjacent pixels parallel to the flight path, in meters (m). Strongly RECOMMENDED to be specified for products of type `GRD`. | | sar:looks_range | number | Number of range looks, which is the number of groups of signal samples (looks) perpendicular to the flight path. | | sar:looks_azimuth | number | Number of azimuth looks, which is the number of groups of signal samples (looks) parallel to the flight path. | | sar:looks_equivalent_number | number | The equivalent number of looks (ENL). | | sar:observation_direction | string | Antenna pointing direction relative to the flight trajectory of the satellite, either `left` or `right`. **sar:polarizations** specifies a single polarization or a polarization combination. For single polarized radars one of `HH`, `VV`, `HV` or `VH` must be set. Fully polarimetric radars add all four polarizations to the array. Dual polarized radars and alternating polarization add the corresponding polarizations to the array, for instance for `HH+HV` add both `HH` and `HV`. **sar:product_type**: The product type defines the type of procesed data contained in the assets. A list of suggestions include: | sar:product_type | Data Type | Description | |-------------------|----------------|----------------| | SSC | complex | Single-look Slant-range Complex image (standard SLC) | | MGD | amplitude | Multilooked Ground-range Detected image | | GRD | amplitude | Multilooked Ground-range Detected image (used by Sentinel-1) | GEC | amplitude | Geocoded Ellipsoid Corrected image | | GTC | amplitude | Geocoded Terrain Corrected image | | RTC | amplitude | Geocoded Radiometrically Terrain Corrected image | | SGC | complex | Single-look Ground projected Complex image | | SLC | complex | Single-look Ground projected Complex image (used by Sentinel-1) | This can vary by data provider, who all may use slightly different names. Sentinel-1 for instance uses `GRD`, wihch is the same as the more general `MGD` and `SLC` instead of `SGC`. ### Common Frequency Band Names The `sar:frequency_band` is the name that is commonly used to refer to that band's spectral properties. The table below shows the common name based on the wavelength and frequency ranges for several SAR satellites. | Common Name | Wavelength Range (cm) | Frequency Range (GHz) | Satellites | | ----------- | --------------------- | --------------------- | ---------- | | P | 30 - 120 | 0.25 - 1 | | | L | 15 - 30 | 1 - 2 | ALOS, JERS, NISAR, SOACOM | | S | 7.5 - 15 | 2 - 4 | HJ-1C | | C | 3.8 - 7.5 | 4 - 8 | EnviSat, ERS, Radarsat, Risat-1, Sentinel-1 | | X | 2.4 - 3.8 | 8 - 12.5 | Cosmo-SkyMed, TerraSAR-X, RanDEM-X, PAZ, KOMPSat-5 | | Ku | 1.7 - 2.4 | 12.5 - 18 | | | K | 1.1 - 1.7 | 18 - 26.5 | | | Ka | 0.75 - 1.1 | 26.5 - 40 | | ### Date and Time In SAR, you usually have frame start and end time. To describe this information it is recommended to use the [Date and Time Range fields](../../item-spec/common-metadata.md#date-and-time-range). The center time of the frame should be specified with the `datetime` property for [STAC Items](../../item-spec/item-spec.md). ### Item [`Asset Object`](../../item-spec/item-spec.md#asset-object) fields | Field Name | Type | Description | | ----------------- | -------- | -------------------------------------------- | | sar:polarizations | [string] | Lists the polarizations available in the asset, in order. Any of `HH`, `VV`, `HV`, `VH`. | ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to SAR data: * the [Sat Extension Specification](../sat/README.md) to describe SAR data collected from a satellite. ### Placing common fields in Collections A lot of SAR data will have common metadata across many Items. It is not necessary, but recommended to use the [Commons extension](../commons/README.md) in combination with [STAC Collections](../../collection-spec/README.md). The exact metadata that would appear in a STAC Collection record will vary depending on the dataset. stac-validator-4.2.2/tests/test_data/v090/extensions/sar/examples/000077500000000000000000000000001517436701200250545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/sar/examples/envisat.json000077500000000000000000000035201517436701200274230ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "sat", "sar" ], "id": "ASA_GM1_1PNPDE20090520_023957_000001022079_00118_37747_3607", "type": "Feature", "bbox": [64.302468,114.587673,71.179088,128.611298], "geometry": { "type": "Polygon", "coordinates": [ [ [65.212918,114.587673], [71.179088,117.542266], [70.096391,128.611298], [64.302468,123.2946], [65.212918,114.587673] ] ] }, "properties": { "datetime": "2009-05-20T02:40:46.763325Z", "start_datetime": "2009-05-20T02:40:01.042784Z", "end_datetime": "2009-05-20T02:41:31.483865Z", "platform": "envisat", "constellation": "envisat", "instruments": ["asar"], "sat_orbit_state": "descending", "sar:instrument_mode": "GM", "sar:polarizations": ["HH"], "sar:resolution_range": 1000, "sar:resolution_azimuth": 1000, "sar:pixel_spacing_range": 500, "sar:pixel_spacing_azimuth": 500, "sar:looks_range": 3, "sar:looks_azimuth": 4, "sar:frequency_band": "C", "sar:center_frequency": 5.331, "sar:product_type": "GM1_1P" }, "assets": { "product": { "href": "ASA_GM1_1PNPDE20090520_023957_000001022079_00118_37747_3607.n1.gz", "type": "application/gzip", "description": "Amplitude and Intensity. Intensity equals the square of the amplitude band", "sar:polarizations": ["HH", "HH"] } }, "links": [ { "rel": "about", "href": "https://earth.esa.int/pub/ESA_DOC/ENVISAT/ASAR/asar.ProductHandbook.2_2.pdf", "title": "ASAR Product Handbook", "type": "application/pdf" }, { "rel": "about", "href": "https://earth.esa.int/web/sppa/mission-performance/esa-missions/envisat/asar/products-and-algorithms", "title": "ASAR Product and Algorithms", "type": "text/html" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/sar/examples/sentinel1.json000077500000000000000000000055151517436701200276620ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "checksum", "sar", "sat" ], "id": "S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616", "type": "Feature", "bbox": [-70.275032,-64.72924,-65.087479,-51.105831], "geometry": { "type": "Polygon", "coordinates": [ [ [-67.071648,-64.72924], [-65.087479,-56.674374], [-68.033211,-51.105831], [-70.275032,-59.805672], [-67.071648,-64.72924] ] ] }, "properties": { "datetime": "2018-11-03T23:58:55.617217Z", "start_datetime": "2018-11-03T23:58:55.121559Z", "end_datetime": "2018-11-03T23:59:55.112875Z", "platform": "sentinel-1a", "constellation": "sentinel-1", "instruments": ["c-sar"], "sat:orbit_state": "ascending", "sat:relative_orbit": 33, "sar:instrument_mode": "EW", "sar:polarizations": ["HH"], "sar:resolution_range": 50, "sar:resolution_azimuth": 50, "sar:pixel_spacing_range": 25, "sar:pixel_spacing_azimuth": 25, "sar:looks_range": 3, "sar:looks_azimuth": 1, "sar:looks_equivalent_number": 2.7, "sar:frequency_band": "C", "sar:center_frequency": 5.405, "sar:product_type": "GRD" }, "assets": { "noises": { "href": "./annotation/calibration/noise-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Calibration Schema", "type": "text/xml", "checksum:multihash": "90e40210a30d1711e81a4b11ef67b28744321659" }, "calibrations": { "href": "./annotation/calibration/calibration-s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Noise Schema", "type": "text/xml", "checksum:multihash": "90e402104fc5351af67db0b8f1746efe421a05e4" }, "products": { "href": "./annotation/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.xml", "title": "Product Schema", "type": "text/xml", "checksum:multihash": "90e402107a7f2588a85362b9beea2a12d4514d45" }, "measurement": { "href": "./measurement/s1a-ew-grd-hh-20181103t235855-20181103t235955-024430-02ad5d-001.tiff", "title": "Measurements", "type": "image/tiff", "sar:bands": ["HH"], "checksum:multihash": "90e40210163700a8a6501eccd00b6d3b44ddaed0" }, "thumbnail": { "href": "./preview/quick-look.png", "title": "Thumbnail", "type": "image/png", "checksum:multihash": "90e40210f52acd32b09769d3b1871b420789456c" } }, "links": [ { "rel": "self", "href": "https://example.com/collections/sentinel-1/items/S1A_EW_GRDM_1SSH_20181103T235855_20181103T235955_024430_02AD5D_5616" }, { "rel": "parent", "href": "https://example.com/collections/sentinel-1" }, { "rel": "root", "href": "https://example.com/collections" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/sar/json-schema/000077500000000000000000000000001517436701200254455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/sar/json-schema/schema.json000077500000000000000000000075521517436701200276140ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "SAR Extension", "description": "STAC SAR Extension to a STAC Item", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/sar" } ], "definitions": { "sar": { "type": "object", "required": [ "properties", "assets" ], "properties": { "properties": { "type": "object", "required": [ "sar:instrument_mode", "sar:frequency_band", "sar:polarizations", "sar:product_type" ], "properties": { "sar:instrument_mode": { "title": "Instrument Mode", "type": "string", "example": "WV" }, "sar:frequency_band": { "title": "Frequency Band", "type": "string", "enum": [ "P", "L", "S", "C", "X", "Ku", "K", "Ka" ] }, "sar:center_frequency": { "title": "Center Frequency (GHz)", "type": "number" }, "sar:polarizations": { "title": "Polarizations", "type": "array", "minItems": 1, "maxItems": 4, "uniqueItems": true, "items": { "type": "string", "enum": [ "HH", "VV", "HV", "VH" ] } }, "sar:product_type": { "title": "Product type", "type": "string", "examples": [ "SSC", "MGD", "SGC" ] }, "sar:resolution_range": { "title": "Resolution range (m)", "type": "number", "minimum": 0 }, "sar:resolution_azimuth": { "title": "Resolution azimuth (m)", "type": "number", "minimum": 0 }, "sar:pixel_spacing_range": { "title": "Pixel spacing range (m)", "type": "number", "minimum": 0 }, "sar:pixel_spacing_azimuth": { "title": "Pixel spacing azimuth (m)", "type": "number", "minimum": 0 }, "sar:looks_range": { "title": "Looks range", "type": "integer", "minimum": 0 }, "sar:looks_azimuth": { "title": "Looks azimuth", "type": "integer", "minimum": 0 }, "sar:looks_equivalent_number": { "title": "Equivalent number of looks (ENL)", "type": "number", "minimum": 0 }, "sar:observation_direction": { "title": "Antenna pointing direction", "type": "string", "enum": [ "left", "right" ] } } }, "assets": { "type": "object", "additionalProperties": { "type": "object", "properties": { "sar:polarizations": { "title": "Polarizations", "type": "array", "minItems": 1, "items": { "type": "string", "enum": [ "HH", "VV", "HV", "VH" ] } } } } } } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/sat/000077500000000000000000000000001517436701200232405ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/sat/README.md000077500000000000000000000037471517436701200245350ustar00rootroot00000000000000# Satellite Extension Specification - **Title: Satellite** - **Identifier: sat** - **Field Name Prefix: sat** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the Satellite Extension to a STAC Item. Sat adds metadata related to a satellite that carries an instrument for collecting data. It will often be combined with other extensions that describe the actual data, such as the `eo`, `os` or `sar` extensions. The Satellite extension requires the [Instrument Fields](../../item-spec/common-metadata.md#instrument). - [Example (Landsat 8)](examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) ## Item fields | Field Name | Type | Description | | ---------------- | ------------------------ | ----------- | | sat:orbit_state | string | The state of the orbit. Either `ascending` or `descending` for polar orbiting satellites, or `geostationary` for geosynchronous satellites | | sat:relative_orbit | integer | The relative orbit number at the time of acquisition. | **sat:orbit_state** indicates the type and current state of orbit. Satellites are either geosynchronous in which case they have one state: `geostationary`, or they are sun synchronous (i.e., polar orbiting satellites) in which case they are either `ascending` or `descending`. For sun synchronous satellites it is daytime during one of these states, and nighttime during the other. **sat:relative_orbit** is a count of orbits from 1 to the number of orbits contained in a repeat cycle, where relative orbit 1 starts from a specific reference location of the sub-satellite point (the point on the earth directly below the satellite). It resets to 1 when the sub-satellite point revisits the refernece location. ## Implementations - No implementations yet ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to sat data. stac-validator-4.2.2/tests/test_data/v090/extensions/sat/examples/000077500000000000000000000000001517436701200250565ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/sat/examples/example-landsat8.json000077500000000000000000000053031517436701200311240ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "sat", "view" ], "id": "LC08_L1TP_107018_20181001", "collection": "landsat-8-l1", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "datetime": "2018-10-01T01:08:32.033Z", "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "platform": "landsat-8", "instruments": ["oli", "tirs"], "constellation": "landsat", "sat:orbit_state": "ascending", "view:off_nadir": 0 }, "assets": { "blue": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)" }, "green": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "title": "Band 3 (green)" }, "red": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "title": "Band 4 (red)" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "collection", "href": "http://landsat-stac.s3.amazonaws.com/landsat-8-l1/catalog.json" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/sat/json-schema/000077500000000000000000000000001517436701200254475ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/sat/json-schema/schema.json000077500000000000000000000017601517436701200276110ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Sat Extension", "description": "STAC Sat Extension to a STAC Item.", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/sat" }, { "$ref": "../../../item-spec/json-schema/instrument.json" } ], "definitions": { "sat": { "type": "object", "required": [ "properties" ], "properties": { "properties": { "type": "object", "required": [], "properties": { "sat:relative_orbit": { "type": "integer", "minimum": 1 }, "sat:orbit_state": { "title": "Orbit State", "type": "string", "enum": [ "ascending", "descending", "geostationary" ] } } } } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/scientific/000077500000000000000000000000001517436701200245715ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/scientific/README.md000077500000000000000000000066201517436701200260570ustar00rootroot00000000000000# Scientific Extension Specification - **Title: Scientific** - **Identifier: scientific** - **Field Name Prefix: sci** - **Scope: Item, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** Scientific metadata is considered to be data that indicate from which publication a data originates and how the data itself should be cited or referenced. Overall, it helps to increase reproducibility and citability. Human-readable references and [DOIs](https://www.doi.org/) can be used in this extension. DOIs are persistent digital interoperable identifier that uniquely identify for digital publications. They can be registered at registration agencies affiliated with the [International DOI Foundation](https://www.doi.org/). This extension applies to STAC Items and STAC Collections. As these scientific information are often closely bound to the collection level and therefore are shared across all items, it is recommended adding the fields to the corresponding [STAC Collection](../../collection-spec/README.md). - Examples: [Collection](examples/collection.json), [Item](examples/item.json) - [JSON Schema](json-schema/schema.json) ## Item and Collection Fields For Items, the fields are placed in the `properties`. For Collections, the fields are placed on the top level of the Collection. | Field Name | Type | Description | | ---------------- | -------------------- | ----------- | | sci:doi | string | The DOI name of the data, e.g. `10.1000/xyz123`. This MUST NOT be a DOIs link. For all DOI names respective DOI links SHOULD be added to the links section (see chapter "Relation types"). | | sci:citation | string | The recommended human-readable reference (citation) to be used by publications citing the data. No specific citation style is suggested, but the citation should contain all information required to find the publication distinctively. | | sci:publications | [[Publication Object](#publication-object)] | List of relevant publications referencing and describing the data. | ### Publication Object | Field Name | Type | Description | | ---------- | ------ | ----------- | | doi | string | DOI of a publication referencing the data. | | citation | string | Citation of a publication referencing the data. | **doi** - The DOI name of a publication which describes and references the data. The publications should include more information about the data and how it was processed. This MUST NOT be a DOI link. For all DOI names respective DOI links SHOULD be added to the links section (see chapter "Relation types"). **citation** - Human-readable reference (citation) of a publication which describes and references the data. The publications should include more information about the data and how it was processed. No specific citation style is suggested, but a citation should contain all information required to find the publication distinctively. ## Relation types This extension adds the following types as applicable `rel` types for the [Link Object](../../item-spec/item-spec.md#link-object): | Type | Description | | ------- | ----------- | | cite-as | For all DOI names specified the respective DOI links SHOULD be added to the links section with the `rel` type `cite-as` (see the [IETF draft](https://tools.ietf.org/id/draft-vandesompel-citeas-03.html)). | ## Implementations None yet, still in proposal stage.stac-validator-4.2.2/tests/test_data/v090/extensions/scientific/examples/000077500000000000000000000000001517436701200264075ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/scientific/examples/collection.json000077500000000000000000000053721517436701200314470ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": ["scientific"], "id": "MERRAclim", "title": "MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling.", "description": "Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic continent, a landmass covering c. 20% of the Southern Hemisphere and increasingly showing biological effects of global change. Here we introduce MERRAclim, a global set of satellite-based bioclimatic variables including Antarctica for the first time. MERRAclim consists of three datasets of 19 bioclimatic variables that have been built for each of the last three decades (1980s, 1990s and 2000s) using hourly data of 2 m temperature and specific humidity. We provide MERRAclim at three spatial resolutions (10 arc-minutes, 5 arc-minutes and 2.5 arc-minutes). These reanalysed data are comparable to widely used datasets based on ground station interpolations, but allow extending their geographical reach and SDM building in previously uncovered regions of the globe.", "keywords": ["bioclimatic","MERRAclim","macroecology","biogeography"], "license": "CC0-1.0", "extent": { "spatial": { "bbox": [[-180,-90,180,90]] }, "temporal": { "interval": [["1980-01-01T00:00:00Z","2009-12-31T23:59:59Z"]] } }, "sci:doi": "10.5061/dryad.s2v81.2", "sci:citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Dryad Digital Repository.", "sci:publications": [ { "doi": "10.1038/sdata.2017.78", "citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Scientific Data 4: 170078." } ], "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/collection.json" }, { "rel": "item", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/item.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/collection.json" }, { "rel": "cite-as", "href": "https://doi.org/10.5061/dryad.s2v81.2" }, { "rel": "cite-as", "href": "https://doi.org/10.1038/sdata.2017.78" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/scientific/examples/item.json000077500000000000000000000045171517436701200302520ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "scientific", "checksum" ], "id": "MERRAclim.2_5m_min_80s", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [-180,-90], [180,-90], [180,90], [-180,90], [-180,-90] ] ] }, "bbox": [-180,-90,180,90], "properties": { "title": "MERRAclim. 2_5m_min_80s", "description": "MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.", "datetime": "1985-07-01T00:00:00Z", "start_datetime": "1980-01-01T00:00:00Z", "end_datetime": "1989-12-31T23:59:59Z", "sci:doi": "10.5061/dryad.s2v81.2/27.2", "sci:publications": [ { "doi": "10.5061/dryad.s2v81.2", "citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) Data from: MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Dryad Digital Repository." }, { "doi": "10.1038/sdata.2017.78", "citation": "Vega GC, Pertierra LR, Olalla-Tárraga MÁ (2017) MERRAclim, a high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling. Scientific Data 4: 170078." } ] }, "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/item.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/catalog.json" }, { "rel": "cite-as", "href": "https://doi.org/10.5061/dryad.s2v81.2/27.2" }, { "rel": "cite-as", "href": "https://doi.org/10.5061/dryad.s2v81.2" }, { "rel": "cite-as", "href": "https://doi.org/10.1038/sdata.2017.78" } ], "assets": { "primary": { "href": "https://datadryad.org/stash/downloads/file_stream/100467", "type": "application/zip", "title": "MERRAclim. 2_5m_min_80s", "checksum:multihash": "90e4021044a8995dd50b6657a037a7839304535b" } } } stac-validator-4.2.2/tests/test_data/v090/extensions/scientific/json-schema/000077500000000000000000000000001517436701200270005ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/scientific/json-schema/schema.json000077500000000000000000000032341517436701200311400ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Scientific Extension", "description": "STAC Scientific Extension to STAC Items or STAC Collections.", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "type": "object", "required": [ "properties" ], "properties": { "properties": { "$ref": "#/definitions/scientific" } } } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/scientific" } ] } ], "definitions": { "scientific": { "type": "object", "properties": { "sci:doi": { "type": "string", "title": "Data DOI", "pattern": "^(10[.][0-9]{4,}(?:[.][0-9]+)*/(?:(?![%\"#? ])\\S)+)$" }, "sci:citation": { "type": "string", "title": "Proposed Data Citation" }, "sci:publications": { "type": "array", "title": "Publications", "items": { "type": "object", "properties": { "doi": { "type": "string", "title": "Publication DOI", "pattern": "^(10[.][0-9]{4,}(?:[.][0-9]+)*/(?:(?![%\"#? ])\\S)+)$" }, "citation": { "type": "string", "title": "Publication Citation" } } } } } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/single-file-stac/000077500000000000000000000000001517436701200255775ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/single-file-stac/README.md000077500000000000000000000050021517436701200270560ustar00rootroot00000000000000# Single File STAC Specification - **Title: Single File STAC** - **Identifier: single-file-stac** - **Field Name Prefix: -** - **Scope: ItemCollection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** An extension to provide a set of Collections and Items as a single file catalog. The single file is a self contained catalog that contains everything that would normally be in a linked set of STAC files. This format is useful to save a portion of a catalog, or when creating a small catalog from derived data that should remain portable. It is most useful for saving the results of a search from a STAC API, as the Items, Collections, and optionally the search parameters are all saved within the single file. Hierarchical links have no meaning in a single file STAC, and so, if present, should be removed when creating a single file catalog. The Items in the single file catalog should not be merged with the Collection properties (i.e., common properties). The Collections are all included in the file as well, so there is no need to duplicate the common properties for every Item in the catalog. - [Example](examples/example-search.json) - [JSON Schema](json-schema/schema.json) ## Catalog fields A Single File STAC is a complete STAC catalog contained in a single file. A Single File STAC is an [ItemCollection Object](../../item-spec/itemcollection-spec.md). This GeoJSON FeatureCollection has Features which are Items, but the Collections are still needed. | Field Name | Type | Description | | ------------------ | ------ | ------------------------------------------------------------ | | collections | [[Collection](../../collection-spec/collection-spec.md#collection-fields)] | An array of Collections that are used by any of the Items in the ItemCollection. | | search | [Search Object](#search-object) | An optional field containing a search endpoint and parameters used to generate this Single File STAC | ## Search Object | Field Name | Type | Description | | ------------------ | ------ | ------------------------------------------------------------ | | endpoint | string | The root endpoint of a STAC API used for this search. | | parameters | Map | A dictionary of all the parameters used for the search. | ## Implementations - [sat-search](https://github.com/sat-utils/sat-search) uses the Single File Catalog to save and load search results. stac-validator-4.2.2/tests/test_data/v090/extensions/single-file-stac/examples/000077500000000000000000000000001517436701200274155ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/single-file-stac/examples/example-search.json000077500000000000000000000600221517436701200332110ustar00rootroot00000000000000{ "type": "FeatureCollection", "features": [ { "type": "Feature", "id": "LC80370332018039LGN00", "collection": "landsat-8-l1", "bbox": [ -112.21054, 37.83042, -109.4992, 39.95532 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -111.6768167850251, 39.952817693022276 ], [ -109.5010938553632, 39.55607811527241 ], [ -110.03573868784865, 37.83172334507642 ], [ -112.20846353249907, 38.236456540046845 ], [ -111.6768167850251, 39.952817693022276 ] ] ] }, "properties": { "datetime": "2018-02-08T18:02:15.719478+00:00", "view:sun_azimuth": 152.63804142, "view:sun_elevation": 31.82216637, "eo:cloud_cover": 19, "eo:row": "033", "eo:column": "037", "landsat:product_id": "LC08_L1TP_037033_20180208_20180221_01_T1", "landsat:scene_id": "LC80370332018039LGN00", "landsat:processing_level": "L1TP", "landsat:tier": "T1", "proj:epsg": 32612 }, "assets": { "index": { "type": "text/html", "title": "HTML index page", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/index.html" }, "thumbnail": { "title": "Thumbnail image", "type": "image/jpeg", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_thumb_large.jpg" }, "B1": { "type": "image/x.geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/037/033/LC08_L1TP_037033_20180208_20180221_01_T1/LC08_L1TP_037033_20180208_20180221_01_T1_B1.TIF" }, "B2": { "type": "image/x.geotiff", "eo:bands": [ 1 ], "title": "Band 2 (blue)", "href": 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"type": "text/html", "title": "HTML index page", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/index.html" }, "thumbnail": { "title": "Thumbnail image", "type": "image/jpeg", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_thumb_large.jpg" }, "B1": { "type": "image/x.geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B1.TIF" }, "B2": { "type": "image/x.geotiff", "eo:bands": [ 1 ], "title": "Band 2 (blue)", "href": "https://s3-us-west-2.amazonaws.com/landsat-pds/c1/L8/034/033/LC08_L1TP_034033_20180203_20180220_01_T1/LC08_L1TP_034033_20180203_20180220_01_T1_B2.TIF" }, "B3": { "type": "image/x.geotiff", "eo:bands": [ 2 ], "title": "Band 3 (green)", "href": 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orthorectified using gound points and Digital Elevation Model (DEM) data to correct relief displacement.", "keywords": [ "landsat", "earth observation", "usgs" ], "stac_version": "0.9.0", "extent": { "spatial": [ -180, -90, 180, 90 ], "temporal": [ "2013-06-01", null ] }, "providers": [ { "name": "USGS", "roles": [ "producer" ], "url": "https://landsat.usgs.gov/" }, { "name": "Planet Labs", "roles": [ "processor" ], "url": "https://github.com/landsat-pds/landsat_ingestor" }, { "name": "AWS", "roles": [ "host" ], "url": "https://landsatonaws.com/" }, { "name": "Development Seed", "roles": [ "processor" ], "url": "https://github.com/sat-utils/sat-api" } ], "license": "PDDL-1.0", "properties": { "eo:gsd": 15, "platform": "landsat-8", "instruments": ["oli", "tirs"], "view:off_nadir": 0, "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 0.44, "full_width_half_max": 0.02 }, { "name": "B2", "common_name": "blue", "center_wavelength": 0.48, "full_width_half_max": 0.06 }, { "name": "B3", "common_name": "green", "center_wavelength": 0.56, "full_width_half_max": 0.06 }, { "name": "B4", "common_name": "red", "center_wavelength": 0.65, "full_width_half_max": 0.04 }, { "name": "B5", "common_name": "nir", "center_wavelength": 0.86, "full_width_half_max": 0.03 }, { "name": "B6", "common_name": "swir16", "center_wavelength": 1.6, "full_width_half_max": 0.08 }, { "name": "B7", "common_name": "swir22", "center_wavelength": 2.2, "full_width_half_max": 0.2 }, { "name": "B8", "common_name": "pan", "center_wavelength": 0.59, "full_width_half_max": 0.18 }, { "name": "B9", "common_name": "cirrus", "center_wavelength": 1.37, "full_width_half_max": 0.02 }, { "name": "B10", "common_name": "lwir11", "center_wavelength": 10.9, "full_width_half_max": 0.8 }, { "name": "B11", "common_name": "lwir12", "center_wavelength": 12, "full_width_half_max": 1 } ] }, "assets": { "index": { "type": "text/html", "title": "HTML index page" }, "thumbnail": { "title": "Thumbnail image", "type": "image/jpeg" }, "B1": { "type": "image/x.geotiff", "eo:bands": [ 0 ], "title": "Band 1 (coastal)" }, "B2": { "type": "image/x.geotiff", "eo:bands": [ 1 ], "title": "Band 2 (blue)" }, "B3": { "type": "image/x.geotiff", "eo:bands": [ 2 ], "title": "Band 3 (green)" }, "B4": { "type": "image/x.geotiff", "eo:bands": [ 3 ], "title": "Band 4 (red)" }, "B5": { "type": "image/x.geotiff", "eo:bands": [ 4 ], "title": "Band 5 (nir)" }, "B6": { "type": "image/x.geotiff", "eo:bands": [ 5 ], "title": "Band 6 (swir16)" }, "B7": { "type": "image/x.geotiff", "eo:bands": [ 6 ], "title": "Band 7 (swir22)" }, "B8": { "type": "image/x.geotiff", "eo:bands": [ 7 ], "title": "Band 8 (pan)" }, "B9": { "type": "image/x.geotiff", "eo:bands": [ 8 ], "title": "Band 9 (cirrus)" }, "B10": { "type": "image/x.geotiff", "eo:bands": [ 9 ], "title": "Band 10 (lwir)" }, "B11": { "type": "image/x.geotiff", "eo:bands": [ 10 ], "title": "Band 11 (lwir)" }, "ANG": { "title": "Angle coefficients file", "type": "text/plain" }, "MTL": { "title": "original metadata file", "type": "text/plain" }, "BQA": { "title": "Band quality data", "type": "image/x.geotiff" } }, "links": [ { "rel": "self", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod/collections/landsat-8-l1" }, { "rel": "parent", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod" }, { "rel": "root", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod" }, { "rel": "items", "href": "https://n34f767n91.execute-api.us-east-1.amazonaws.com/prod/collections/landsat-8-l1/items" } ] } ], "search": { "endpoint": "https://sat-api.developmentseed.org/", "parameters": { "bbox": [ -110, 39.5, -105, 40.5 ], "collections": ["landsat-8-l1"], "datetime": "2018-02-01/2018-02-10", "query": { "eo:cloud_cover": { "lt": "50" } } } } } stac-validator-4.2.2/tests/test_data/v090/extensions/single-file-stac/json-schema/000077500000000000000000000000001517436701200300065ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/single-file-stac/json-schema/schema.json000077500000000000000000000015741517436701200321530ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Single File STAC Extension", "description": "Single File STAC Extension to combine Collections and Items in single file catalog", "allOf": [ { "$ref": "../../../master/item-spec/json-schema/itemcollection.json" }, { "$ref": "#/definitions/single-file-stac" } ], "definitions": { "collections": { "type": "array", "items": { "$ref": "../../collection-spec/json-schema/collection.json" } }, "search": { "type": "object", "required": [ "endpoint" ], "properties": { "endpoint": { "title": "STAC compliant endpoint", "type": "string" }, "parameters": { "title": "Search parameters", "type": "object" } } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/version/000077500000000000000000000000001517436701200241365ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/version/README.md000077500000000000000000000044021517436701200254200ustar00rootroot00000000000000# Versioning Indicators Extension Specification - **Title: Versioning Indicators** - **Identifier: version** - **Field Name Prefix: -** - **Scope: Item, Collection** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This extension allows to version STAC Collections and STAC Items. Therefore, it also allows to deprecate legacy versions. Only fields and possible link relation types are defined in this extension, but it does NOT suggest any versioning best practices to structure static or dynamic catalogs. Instead check the [Versioning Best Practices for Catalogs](../../best-practices.md#versioning-for-catalogs). This extension applies to STAC Items and STAC Collections. - Examples: [Collection](examples/collection.json), [Item](examples/item.json) - [JSON Schema](json-schema/schema.json) ## Item Properties and Collection Fields For Items, the fields are placed in the `properties`. For Collections, the fields are placed on the top level of the Collection. | Field Name | Type | Description | | ---------- | ------- | ----------- | | version | string | **REQUIRED**. Version of the Collection or Item. | | deprecated | boolean | Specifies that the Collection or Item is deprecated with the potential to be removed. Defaults to `false`. It should be transitioned out of usage as soon as possible and users should refrain from using it in new projects. A link with relation type `latest-version` SHOULD be added to the links and MUST refer to the resource that can be used instead. | ## Relation types The following types should be used as applicable `rel` types for the [Link Object](../../item-spec/item-spec.md#link-object) to reference the latest version, the predecessor version and successor versions. These are all following [RFC 5829](https://tools.ietf.org/html/rfc5829). | Type | Description | | ------------------- | ----------- | | latest-version | This link points to a resource containing the latest (e.g., current) version. | | predecessor-version | This link points to a resource containing the predecessor version in the version history. | | successor-version | This link points to a resource containing the successor version in the version history. | ## Implementations None yet, still in proposal stage.stac-validator-4.2.2/tests/test_data/v090/extensions/version/examples/000077500000000000000000000000001517436701200257545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/version/examples/collection.json000077500000000000000000000017151517436701200310110ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": ["version"], "id": "merraclim", "title": "MERRAclim", "description": "A high-resolution global dataset of remotely sensed bioclimatic variables for ecological modelling.", "license": "CC0-1.0", "version": "1", "deprecated": true, "extent": { "spatial": { "bbox": [[-180,-90,180,90]] }, "temporal": { "interval": [["1980-01-01T00:00:00Z","2009-12-31T23:59:59Z"]] } }, "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/collection.json" }, { "rel": "item", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/item.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/catalog.json" }, { "rel": "latest-version", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v2/collection.json" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/version/examples/item.json000077500000000000000000000033111517436701200276060ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "version" ], "id": "MERRAclim.2_5m_min_80s", "version": "1", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [-180,-90], [180,-90], [180,90], [-180,90], [-180,-90] ] ] }, "bbox": [-180,-90,180,90], "properties": { "title": "MERRAclim. 2_5m_min_80s", "description": "MERRAclim Dataset. 19 global bioclimatic variables from the 1980s decade at 2.5 arcminutes resolution in GEOtiff format. The humidity version used is the min. The variables have been built using the same protocol as WorldClim with data from MERRA. Temperature layers (BIO1-BIO11) are in degree Celsius multiplied by 10, humidity layers (BIO12-BIO19) are in kg of water/kg of air multiplied by 100000.", "datetime": "1985-07-01T00:00:00Z" }, "collection": "merraclim", "links": [ { "rel": "self", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/item.json" }, { "rel": "collection", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/collection.json" }, { "rel": "parent", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v1/collection.json" }, { "rel": "root", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/catalog.json" }, { "rel": "latest-version", "href": "https://datadryad.org/resource/doi:10.5061/dryad.s2v81/v2/item.json" } ], "assets": { "primary": { "href": "https://datadryad.org/stash/downloads/file_stream/100467", "type": "application/zip", "title": "MERRAclim. 2_5m_min_80s" } } } stac-validator-4.2.2/tests/test_data/v090/extensions/version/json-schema/000077500000000000000000000000001517436701200263455ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/version/json-schema/schema.json000077500000000000000000000022351517436701200305050ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "Versioning Indicators Extension", "description": "STAC Versioning Indicators Extension for STAC Items or STAC Collections.", "oneOf": [ { "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "type": "object", "required": [ "properties" ], "properties": { "properties": { "$ref": "#/definitions/version_extension" } } } ] }, { "allOf": [ { "$ref": "../../../collection-spec/json-schema/collection.json" }, { "$ref": "#/definitions/version_extension" } ] } ], "definitions": { "version_extension": { "type": "object", "required": [ "version" ], "properties": { "version": { "type": "string", "title": "Version" }, "deprecated": { "type": "boolean", "title": "Deprecated", "default": false } } } } }stac-validator-4.2.2/tests/test_data/v090/extensions/view/000077500000000000000000000000001517436701200234235ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/view/README.md000077500000000000000000000062631517436701200247140ustar00rootroot00000000000000# View Geometry Extension Specification - **Title: View Geometry** - **Identifier: view** - **Field Name Prefix: view** - **Scope: Item** - **Extension [Maturity Classification](../README.md#extension-maturity): Proposal** This document explains the fields of the View Geometry Extension to a STAC Item. View Geometry adds metadata related to angles of sensors and other radiance angles that affect the view of resulting data. It will often be combined with other extensions that describe the actual data, such as the `eo`, `sat` or `sar` extensions. - [Example (Landsat 8)](../eo/examples/example-landsat8.json) - [JSON Schema](json-schema/schema.json) ## Item fields | Field Name | Type | Description | | ---------------- | ------------------------ | ----------- | | view:off_nadir | number | The angle from the sensor between nadir (straight down) and the scene center. Measured in degrees (0-90). | | view:incidence_angle | number | The incidence angle is the angle between the vertical (normal) to the intercepting surface and the line of sight back to the satellite at the scene center. Measured in degrees (0-90). | | view:azimuth | number | Viewing azimuth angle. The angle measured from the sub-satellite point (point on the ground below the platform) between the scene center and true north. Measured clockwise from north in degrees (0-360). | | view:sun_azimuth | number | Sun azimuth angle. From the scene center point on the ground, this is the angle between truth north and the sun. Measured clockwise in degrees (0-360). | | view:sun_elevation | number | Sun elevation angle. The angle from the tangent of the scene center point to the sun. Measured from the horizon in degrees (0-90). | The angles `off_nadir`, `incidence_angle`, and `sun_elevation` are angles measured on a 2d plane formed: sensor location, sub-sensor point on the earth, the sun, and the center of the viewed area. The off-nadir angle and the incidence angle are related. When the off-nadir angle is low (high incidence angle) then the two angles sum to about 90, so one can be calculated from the other. However, at high off-nadir angles with high altitude sensors the curvature of the earth has an impact and their sum will be less than 90. If only providing one of the two angles, the off-nadir angle is preferred. The angles `azimuth` and `sun_azimuth` indicate the position of the viewed scene and the sun by the angle from true north, as shown below. Example: ``` { "stac_version": "0.9.0", "stac_extensions": [ "view", "sat" ], "id": "20171110", "type": "Feature", ... "properties": { "platform": "mysatellite", "instruments": ["mycamera1", "mycamera2"], "constellation": "allmysatellites", "view:off_nadir": 0, "view:incidence_angle": 90, "view:azimuth": 23.9, "view:sun_elevation": 45.0, "view:sun_azimuth": 56.4, "sat:orbit_state": "descending", "sat:relative_orbit": 4 } } ``` ## Implementations - No implementations yet ## Extensions The [extensions page](../README.md) gives an overview about related extensions. Of particular relevance to View Geometry data.stac-validator-4.2.2/tests/test_data/v090/extensions/view/examples/000077500000000000000000000000001517436701200252415ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/view/examples/example-landsat8.json000077500000000000000000000054041517436701200313110ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "sat", "view" ], "id": "LC08_L1TP_107018_20181001", "collection": "landsat-8-l1", "type": "Feature", "bbox": [ 148.13933, 59.51584, 152.52758, 60.63437 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 152.52758, 60.63437 ], [ 149.1755, 61.19016 ], [ 148.13933, 59.51584 ], [ 151.33786, 58.97792 ], [ 152.52758, 60.63437 ] ] ] }, "properties": { "datetime": "2018-10-01T01:08:32.033Z", "view:sun_azimuth": 168.8989761, "view:sun_elevation": 26.32596431, "view:off_nadir": 0, "view:incidence_angle": 0, "view:azimuth": 23.4, "platform": "landsat-8", "instruments": ["oli", "tirs"], "constellation": "landsat", "sat:orbit_state": "ascending" }, "assets": { "blue": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B2.TIF", "type": "image/tiff; application=geotiff", "title": "Band 2 (blue)" }, "green": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B3.TIF", "type": "image/tiff; application=geotiff", "title": "Band 3 (green)" }, "red": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_B4.TIF", "type": "image/tiff; application=geotiff", "title": "Band 4 (red)" }, "thumbnail": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/LC08_L1TP_107018_20181001_20181001_01_RT_thumb_large.jpg", "title": "Thumbnail image", "type": "image/jpeg" }, "index": { "href": "https://landsat-pds.s3.amazonaws.com/c1/L8/107/018/LC08_L1TP_107018_20181001_20181001_01_RT/index.html", "type": "text/html", "title": "HTML index page" } }, "links": [ { "rel": "collection", "href": "http://landsat-stac.s3.amazonaws.com/landsat-8-l1/catalog.json" } ] } stac-validator-4.2.2/tests/test_data/v090/extensions/view/json-schema/000077500000000000000000000000001517436701200256325ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/extensions/view/json-schema/schema.json000077500000000000000000000027141517436701200277740ustar00rootroot00000000000000{ "$schema": "http://json-schema.org/draft-07/schema#", "$id": "schema.json#", "title": "View Geometry Extension", "description": "STAC View Geometry Extension to a STAC Item.", "allOf": [ { "$ref": "../../../item-spec/json-schema/item.json" }, { "$ref": "#/definitions/view" } ], "definitions": { "view": { "type": "object", "required": [ "properties" ], "properties": { "properties": { "type": "object", "required": [], "properties": { "view:off_nadir": { "title": "Off Nadir", "type": "number", "minimum": 0, "maximum": 90 }, "view:incidence_angle": { "title": "Center incidence angle", "type": "number", "minimum": 0, "maximum": 90 }, "view:azimuth": { "title": "Azimuth angle", "type": "number", "minimum": 0, "maximum": 360 }, "view:sun_azimuth": { "title": "Sun Azimuth", "type": "number", "minimum": 0, "maximum": 360 }, "view:sun_elevation": { "title": "Sun Elevation", "type": "number", "minimum": 0, "maximum": 90 } } } } } } }stac-validator-4.2.2/tests/test_data/v090/items/000077500000000000000000000000001517436701200213735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v090/items/CBERS_4.json000077500000000000000000000055451517436701200233630ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "proj", "view" ], "id": "CBERS_4_MUX_20181029_177_106_L4", "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -64.800142, -5.815918 ], [ -63.719133, -5.979677 ], [ -63.488049, -4.915594 ], [ -64.566931, -4.752172 ], [ -64.800142, -5.815918 ] ] ] ] }, "bbox": [ -64.803413, -5.985958, -63.485124, -4.731829 ], "properties": { "datetime": "2018-10-29T14:24:54Z", "view:sun_azimuth": 111.113, "view:sun_elevation": 65.8018, "view:off_nadir": -0.00751271, "proj:epsg": 32763, "cbers:data_type": "L4", "cbers:path": 177, "cbers:row": 106 }, "collection": "CBERS_4_MUX", "links": [ { "rel": "self", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4.json" }, { "rel": "parent", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/catalog.json" }, { "rel": "collection", "href": "https://cbers-stac-0-6.s3.amazonaws.com/collections/CBERS_4_MUX_collection.json" } ], "assets": { "thumbnail": { "href": "https://s3.amazonaws.com/cbers-meta-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106.jpg", "type": "image/jpeg", "roles": [ "thumbnail" ] }, "metadata": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.xml", "title": "INPE original metadata", "type": "text/xml", "roles": [ "metadata" ] }, "B5": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND5.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 0 ] }, "B6": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 1 ] }, "B7": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND7.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 2 ] }, "B8": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND8.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 3 ] } } } stac-validator-4.2.2/tests/test_data/v090/items/CBERS_4_bad_links.json000077500000000000000000000055401517436701200253640ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "proj", "view" ], "id": "CBERS_4_MUX_20181029_177_106_L4", "type": "Feature", "geometry": { "type": "MultiPolygon", "coordinates": [ [ [ [ -64.800142, -5.815918 ], [ -63.719133, -5.979677 ], [ -63.488049, -4.915594 ], [ -64.566931, -4.752172 ], [ -64.800142, -5.815918 ] ] ] ] }, "bbox": [ -64.803413, -5.985958, -63.485124, -4.731829 ], "properties": { "datetime": "2018-10-29T14:24:54Z", "view:sun_azimuth": 111.113, "view:sun_elevation": 65.8018, "view:off_nadir": -0.00751271, "proj:epsg": 32763, "cbers:data_type": "L4", "cbers:path": 177, "cbers:row": 106 }, "collection": "CBERS_4_MUX", "links": [ { "rel": "self", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4.json" }, { "rel": "parent", "href": "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/catalog.json" }, { "rel": "collection", "href": "https:/cbers-stac-0-6.s3.amazonaws/collections/CBERS_4_MUX_collection.json" } ], "assets": { "thumbnail": { "href": "https://s3.amazonaws.com/cbers-meta-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106.jpg", "type": "image/jpeg", "roles": [ "thumbnail" ] }, "metadata": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.xml", "title": "INPE original metadata", "type": "text/xml", "roles": [ "metadata" ] }, "B5": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND5.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 0 ] }, "B6": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND6.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 1 ] }, "B7": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND7.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 2 ] }, "B8": { "href": "s3://cbers-pds/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4/CBERS_4_MUX_20181029_177_106_L4_BAND8.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "eo:bands": [ 3 ] } } } stac-validator-4.2.2/tests/test_data/v090/items/README.md000077500000000000000000000105231517436701200226560ustar00rootroot00000000000000# STAC Item Examples ## Overview This directory contains a number of samples and more 'real world' examples of how a STAC Item could be implemented. As of right now none of these are actual production implementations - they are more adaptations of current catalogs to the STAC specifications. In time these will evolve to be examples of truly real world implementations. This document also contains discussion of the various examples in this folder. ## In this directory ### Item Examples **[sample.json](sample.json)** is the most minimal possible compliant Item record. Most all data will include additional fields, as STAC is designed to be a minimal common subset. But it is useful for showing exactly what is required. **[sample-full.json](sample-full.json)** is a more realistic example, for a hypothetical analytic image acquisition from a satellite company called 'cool sat'. It includes additional fields, including some from the Earth Observation extension, as well as some vendor specific additions. It also links to a variety of assets that is typical for satellite imagery, as most providers include a number of complementary files. **DigitalGlobe** The [DigitalGlobe sample](digitalglobe-sample.json) is taken from the proposed DigitalGlobe static catalog [pull request](https://github.com/radiantearth/stac-spec/pull/33), with minor field updates to validate against the the item specification. **Landsat8** The [Landsat8 sample](landsat8-sample.json) is meant to be an example of how an S3-based catalog like the [Landsat on AWS](https://landsatonaws.com/) public data set could be a STAC static catalog. It includes the 'collection' concept, which is explained more in the [/collection-spec/ folder](../../collection-spec/). **Planet** The [Planet sample](planet-sample.json) is an adaption of Planet's [Data API](https://www.planet.com/docs/reference/data-api/) returned JSON, with minor tweaks to have it fit in to a STAC Item. **CBERS** The [CBERS sample](CBERS_4_MUX_20181029_177_106_L4.json) is copied from [CBERS static STAC catalog](https://cbers-stac-0-6.s3.amazonaws.com/catalog.json). ### ItemCollection Examples **[itemcollection-sample-minimal.json](itemcollection-sample-minimal.json)** is the most minimal possible compliant ItemCollection entity. Most all data will include additional fields, as STAC is designed to be a minimal common subset. But it is useful for showing exactly what is required. **[itemcollection-sample-full.json](itemcollection-sample-full.json)** is a more realistic example. ## Example Discussion These examples demonstrate that there is a range of potential implementations of STAC Items. Most were made by adapting the current implementations as minimally as possible. The hope is that there will emerge more consensus and best practices on the things outside of the core fields, to increase interoperability. ### Static Catalogs vs Catalog APIs The Planet example is likely the least 'static' of the examples, as it was taken from Planet's Data API and just added on a few fields. DigitalGlobe's made a bit more changes to make it static, but still has that lineage. Landsat8 is primarily made thinking about how they are laid out on Amazon Web Services. Catalog API's will tend to have more absolute links, while the static examples tend more towards relative links, representing actual files that are next to them. Planet's API shows a set of 'activation' assets that present a workflow to enable the data to be downloaded. This is not a desired end-state - ideally the data is more readily available in a Catalog API, or at least has a better workflow - but it shows how the asset field can be adapted. ### Asset definition Currently the additional metadata on assets is quite minimal - only a link is required. 'title' and 'type' are the only other specified fields. ### Permissions The Planet example has some small bits about 'permissions'. The DigitalGlobe catalog would have similar concerns. The core idea would be that assets should provide links to the data, even if a user doesn't have permissions to actually access the data. ### Prefixes The Landsat example shows an idea of using 'prefixes' like *eo:* or *l8:* to help differentiate metadata fields that would be validated by different schemas. EO could be a shared earth observation schema. Using prefixes could also help point the way towards JSON-LD type validation. stac-validator-4.2.2/tests/test_data/v090/items/datetimerange.json000077500000000000000000000025711517436701200251070ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [], "type":"Feature", "id":"half-moon-bay/video-2018-01-01-0001", "bbox":[ -122.44674682617188, 37.45551035774642, -122.41241455078125, 37.47077095413427 ], "geometry":{ "type":"Polygon", "coordinates":[ [ [ -122.44674682617188, 37.45551035774642 ], [ -122.41241455078125, 37.45551035774642 ], [ -122.41241455078125, 37.47077095413427 ], [ -122.44674682617188, 37.47077095413427 ], [ -122.44674682617188, 37.45551035774642 ] ] ] }, "properties":{ "datetime":"2018-01-01T13:21:30Z", "start_datetime":"2018-01-01T13:21:30Z", "end_datetime":"2018-01-01T13:31:30Z" }, "links":[ { "rel":"self", "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.json" } ], "assets":{ "video":{ "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.mpeg", "title":"10 minute drone video captured over Half Moon Bay, California, USA.", "type":"video/mpeg" }, "thumbnail":{ "href":"http://cool-drones.com/catalog/half-moon-bay/video-2018-01-01-0001.jpg", "type":"image/jpeg", "title":"Thumbnail" } } } stac-validator-4.2.2/tests/test_data/v090/items/digitalglobe-sample.json000077500000000000000000000046671517436701200262130ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "eo", "proj", "view", "https://example.digitalglobe.com/stac/1.0/schema.json" ], "id": "103001004B316600_P002_MUL", "type": "Feature", "geometry": { "type": "Polygon", "coordinates": [ [ [ -105.160846396, 39.1656009422 ], [ -104.947574355, 39.1750024943 ], [ -104.949890373, 39.0512153242 ], [ -105.161151214, 39.0436821016 ], [ -105.160846396, 39.1656009422 ] ] ] }, "assets": { "multispectral_image": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIF" }, "imd": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.IMD" }, "imd_xml": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.XML" }, "til": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.TIL" }, "att": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.ATT" }, "eph": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.EPH" }, "geo": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.GEO" }, "rpb": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.RPB" }, "thumbnail": { "href": "https://15NOV09180446-M1BS-056823192010_01_P002.JPG", "roles": [ "thumbnail" ] } }, "properties": { "dg:feature_type": [ "GBDXCatalogRecord", "WV02", "DigitalGlobeProduct", "1BProduct" ], "view:sun_azimuth": 168.7, "eo:cloud_cover": 50, "view:off_nadir": 18.4, "view:azimuth": 34.5, "platform": "worldview02", "view:sun_elevation": 33.4, "eo:gsd": 2.047, "proj:epsg": null, "dg:catalog_id": "103001004B316600", "dg:soli": "056823192", "dg:part": 2, 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Metadata" } } } stac-validator-4.2.2/tests/test_data/v090/items/sample.json000077500000000000000000000020701517436701200235510ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [], "type": "Feature", "id": "CS3-20160503_132130_04", "bbox": [-122.59750209, 37.48803556, -122.2880486, 37.613537207], "geometry": { "type": "Polygon", "coordinates": [ [ [-122.308150179, 37.488035566], [-122.597502109, 37.538869539], [-122.576687533, 37.613537207], [-122.288048600, 37.562818007], [-122.308150179, 37.488035566] ] ] }, "properties": { "datetime": "2016-05-03T13:21:30.040Z", "collection": "CS3" }, "links": [ { "rel": "self", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.json" }, { "rel": "collection", "href": "http://cool-sat.com/catalog.json" } ], "assets": { "analytic": { "href": "relative-path/to/analytic.tif", "title": "4-Band Analytic" }, "thumbnail": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/thumbnail.png", "title": "Thumbnail", "roles": [ "thumbnail" ] } } } stac-validator-4.2.2/tests/test_data/v090/items/sentinel2-sample.json000077500000000000000000000221711517436701200254560ustar00rootroot00000000000000{ "stac_version": "0.9.0", "stac_extensions": [ "eo", "view", "proj" ], "type": "Feature", "id": "S2A_OPER_MSI_L2A_TL_SGS__20180524T190423_A015250_T26SKD_N02.08", "collection": "sentinel-s2-l2a", "links": [ { "rel": "self", "href": "s3://sentinel-s2-l2a-catalog/tiles/35/V/MK/2018/6/5/0/sentinel2-sample.json" }, { "rel": "root", "href": "s3://sentinel-s2-l2a-catalog/catalog.json" }, { "rel": "collection", "href": "s3://sentinel-s2-l2a-catalog/catalog.json" } ], "bbox": [ 25.0815883093, 62.1306897126, 27.1935425597, 63.1293872370 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -105.160846396, 39.1656009422 ], [ -104.947574355, 39.1750024943 ], [ -104.949890373, 39.0512153242 ], [ -105.161151214, 39.0436821016 ], [ -105.160846396, 39.1656009422 ] ] ] }, "assets": { "metadata": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/metadata.xml", "title": "Tile metadata", "type": "application/xml", "roles": [ "metadata" ] }, "tileInfo": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/tileInfo.json", "title": "Tile info", "type": "application/json" }, "productInfo": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/productInfo.json", "title": "Product info", "type": "application/json" }, "thumbnail": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/L2A_PVI.jp2", "title": "True color thumbnail", "type": "image/jp2", "roles": [ "thumbnail" ] }, "B02_10m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R10m/B02.jp2", "title": "Band 2 - Blue 0.490 (10m)", "type": "image/jp2", "eo:bands": [1] }, "B03_10m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R10m/B03.jp2", "title": "Band 3 - Green 0.560 (10m)", "type": "image/jp2", "eo:bands": [2] }, "B04_10m": { "href": 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(20m)", "type": "image/jp2", "eo:bands": [2] }, "B04_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B04.jp2", "title": "Band 4 - Red 0.665 (20m)", "type": "image/jp2", "eo:bands": [3] }, "B05_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B05.jp2", "title" : "Band 5 - Vegetation Red Edge 0.705 (20m)", "type": "image/jp2", "eo:bands": [4] }, "B06_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B06.jp2", "title": "Band 6 - Vegetation Red Edge 0.740 (20m)", "type": "image/jp2", "eo:bands": [5] }, "B07_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B07.jp2", "title": "Band 7 - Vegetation Red Edge 0.783 (20m)", "type": "image/jp2", "eo:bands": [6] }, "B8A_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B8A.jp2", "title": "Band 8A - Narrow NIR 0.865 (20m)", "type": "image/jp2", "eo:bands": [8] }, "B11_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B11.jp2", "title": "Band 11 - SWIR 1.610 (20m)", "type": "image/jp2", "eo:bands": [11] }, "B12_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/B12.jp2", "title": "Band 12 - SWIR 2.190 (20m)", "type": "image/jp2", "eo:bands": [12] }, "AOT_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/AOT.jp2", "title": "Aerosol Optical Thickness (20m)", "type": "image/jp2" }, "SCL_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/SCL.jp2", "title": "Scene Classification (20m)", "type": "image/jp2" }, "TCI_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/TCI.jp2", "title": "True Color Image (20m)", "type": "image/jp2" }, "WVP_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R20m/WVP.jp2", "title": "Water Vapor (20m)", "type": "image/jp2" }, "CLD_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/CLD_20m.jp2", "title": "Cloud (20m)", "type": "image/jp2" }, "SNW_20m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/SNW_20m.jp2", "title": "Snow (20m)", "type": "image/jp2" }, "B01_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B01.jp2", "title": "Band 1 - Coastal aerosol (60m)", "type": "image/jp2", "eo:bands": [0] }, "B02_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B02.jp2", "title": "Band 2 - Blue 0.490 (60m)", "type": "image/jp2", "eo:bands": [1] }, "B03_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B03.jp2", "title": "Band 3 - Green 0.560 (60m)", "type": "image/jp2", "eo:bands": [2] }, "B04_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B04.jp2", "title": "Band 4 - Red 0.665 (60m)", "type": "image/jp2", "eo:bands": [3] }, "B05_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B05.jp2", "title" : "Band 5 - Vegetation Red Edge 0.705 (60m)", "type": "image/jp2", "eo:bands": [4] }, "B06_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B06.jp2", "title": "Band 6 - Vegetation Red Edge 0.740 (60m)", "type": "image/jp2", "eo:bands": [5] }, "B07_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B07.jp2", "title": "Band 7 - Vegetation Red Edge 0.783 (60m)", "type": "image/jp2", "eo:bands": [6] }, "B8A_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B8A.jp2", "title": "Band 8A - Narrow NIR 0.865 (60m)", "type": "image/jp2", "eo:bands": [8] }, "B09_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B09.jp2", "title": "Band 9 - Water vapour 0.945 (60m)", "type": "image/jp2", "eo:bands": [9] }, "B11_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B11.jp2", "title": "Band 11 - SWIR 1.610 (60m)", "type": "image/jp2", "eo:bands": [11] }, "B12_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/B12.jp2", "title": "Band 12 - SWIR 2.190 (60m)", "type": "image/jp2", "eo:bands": [12] }, "AOT_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/AOT.jp2", "title": "Aerosol Optical Thickness (60m)", "type": "image/jp2" }, "SCL_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/SCL.jp2", "title": "Scene Classification (60m)", "type": "image/jp2" }, "TCI_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/TCI.jp2", "title": "True Color Image (60m)", "type": "image/jp2", "roles": [ "overview" ] }, "WVP_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/R60m/WVP.jp2", "title": "Water Vapor (60m)", "type": "image/jp2" }, "CLD_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/CLD_60m.jp2", "title": "Cloud (60m)", "type": "image/jp2" }, "SNW_60m": { "href": "s3://sentinel-s2-l2a/tiles/35/V/MK/2018/6/5/0/qi/SNW_60m.jp2", "title": "Snow (60m)", "type": "image/jp2" } }, "properties": { "collection": "s2-l2a", "datetime": "2018-06-05T10:00:27.464Z", "platform": "sentinel-2", "proj:epsg": 32635, "eo:cloud_cover": 88.459539, "view:sun_azimuth" : 176.091667178268 } } stac-validator-4.2.2/tests/test_data/v100/000077500000000000000000000000001517436701200202425ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v100/README.md000066400000000000000000000147171517436701200215330ustar00rootroot00000000000000# STAC Examples This directory contains various examples for all parts of the STAC specification. It is structured to be two valid STACs, meaning both [catalog.json](catalog.json) and [collection.json](collection.json) should successfully load in various tools. They do not follow *all* the [best practices](../best-practices.md) for STAC, mostly due to the fact that they contrive examples to show the spec and we are hosting in GitHub. But we note below where they differ from an ideal catalog. The various fields are mostly fictional, to be able to demonstrate the various aspects of the spec as tersely as possible. To get a sense of real world STAC implementations we recommend exploring the [stac-examples](http://github.com/stac-utils/stac-examples) repo, which gathers in one place copies of STAC [Items](../item-spec/item-spec.md) and [Collection](../collection-spec/collection-spec.md) from a number of different production catalogs that all follow good STAC practices. And you should also explore the various catalogs listed on [STAC Index](http://stacindex.org), to see full catalogs in production. ## Organization This directory contains two STAC implementations, both valid, but simplified a bit to be illustrative of the key concepts, so they do not quite follow all the best practices. ### Simple Collection This STAC implementation consists of three files, all contained at the root of the examples directory **[collection.json](collection.json)** is a minimal 'simple collection', that links to three items. **[simple-item.json](simple-item.json)** is the most minimal possible compliant Item record. Most all data will include additional fields, as STAC is designed to be a minimal common subset. But it is useful for showing exactly what is required. **[core-item.json](core-item.json)** is a more realistic example, for a hypothetical analytic image acquisition from a satellite company called 'Remote Data'. It includes additional fields covering the [common metadata](../item-spec/common-metadata.md). It also links to a variety of assets that is typical for satellite imagery, as most providers include a number of complementary files. **[extended-item.json](extended-item.json)** is arguably an even more realistic example, as it includes a number of the [extensions](../extensions/) that are commonly used, to demonstrate how implementations tend to start with the core, and add in a number of the core extensions. **[collectionless-item.json](collectionless-item.json)** demonstrates the common metadata that is only used when an Item does not have a collection. It is recommended to organize items in collections, but we wanted to show how this works. This is not technically in the 'simple collection' of this section, but it follows the same pattern, so is included here. ### Nested Catalog This STAC implementation shows a common pattern, starting with a catalog that links to a number of distinct collections, which may link down to a number of items. **[catalog.json](catalog.json)** is a minimal catalog implementation, linking to two other collections. **[collection-only/collection.json](collection-only/collection.json)** is a collection that does not link to any items. This demonstrates how is is possible to make use of STAC Collections without needing items, to serve as nice summarizing metadata for tools that work with full layers / collections. This example collection is based on real Sentinel-2 values, so is not quite fictional, but should be taken as just an example. **[extensions-collection/collection.json](extensions-collection/collection.json)** contains a small number of items, that demonstrate more functionality available in STAC [extensions](../extensions/). These are linked to directly from the individual extensions. These items follow the recommendations for [Catalog Layout Best Practices](../best-practices.md#catalog-layout). ## In Depth As mentioned above, the files in this examples directory form valid STAC implementations. They are all based on a fictional remote sensing company called 'Remote Data', with a URL at remotedata.io. This domain has not been set up, so those links will not work, but any valid data provider should provide valid links to their homepage. The examples use the `rd:` prefix to show how providers can use custom fields when there are not set fields. In the examples these do not link to a schema which is completely valid, but it is recommended that providers do write a JSON schema that can validate their custom fields (we will work to add an example schema for the `rd:` fields in the future). ### Catalog Type One of the most important STAC Best Practices is to [use links consistently](../best-practices.md#use-of-links), following one of the described 'catalog types'. The catalogs described here are [Relative Published Catalogs](../best-practices.md#relative-published-catalog), that use absolute URL's to refer to their assets (so would be an example of a [Self-contained Metadata Only](../best-practices.md#self-contained-metadata-only) catalog that is published). ### Differences with STAC Best Practices One of the most important documents in this repository is the one about [best practices](../best-practices.md). It describes a number of practical recommendations gained by people actually implementing STAC. The core spec is designed to be as flexible as possible, so that it is not too rigid and unable to handle unanticipated needs. But we recommend following as many of the best practices as is feasible, as it will help ensure various STAC tools work much better. The examples in this folder don't align with all the best practices, mostly because they are meant to demonstrate things as tersely as possible, and also because they live directly inside a github repository. As many people will look at these examples and take them as 'how things should be' we felt its important to highlight where things here differ from the actual best practices. #### Catalog Layout Another important recommendations concerns the [layout of STAC catalogs](../best-practices.md#catalog-layout). This is important for tools to be able to expect a certain layout, and most tools will follow the described layout. The simple collection that consists of the collection.json and its 3 linked items violates this. This is done to be able to show item examples directly in the root of the 'examples' folder, so people don't have to dig deep into folders to get a quick example. But a proper catalog layout would put the items in sub-directories, along with their assets. stac-validator-4.2.2/tests/test_data/v100/bad-item.json000066400000000000000000000044641517436701200226270ustar00rootroot00000000000000{ "stac_version": "1.0.0", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json" ], "type": "Feature", "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "properties": { "title": "Full Item", "description": "A STAC item without an id", "datetime": null, "start_datetime": "2016-05-03T13:22:30Z", "end_datetime": "2016-05-03T13:27:30Z", "created": "2016-05-04T00:00:01Z", "updated": "2017-01-01T00:30:55Z", "license": "various", "providers": [ { "name": "Remote Data, Inc", "description": "Producers of awesome spatiotemporal assets", "roles": [ "producer", "processor" ], "url": "http://remotedata.it" } ], "platform": "cool_sat2", "instruments": [ "cool_sensor_v1" ] }, "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "parent", "href": "./catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "alternate", "type": "text/html", "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/CS3-20160503_132130_04.html", "title": "HTML representation of this STAC Item" }, { "rel": "license", "type": "text/html", "href": "http://remotedata.io/license.html", "title": "Data License for Remote Data, Inc." } ], "assets": { "analytic": { "href": "http://cool-sat.com/catalog/CS3-20160503_132130_04/analytic.tif", "title": "4-Band Analytic", "eo:bands": [ { "name": "band1" }, { "name": "band1" }, { "name": "band2" }, { "name": "band3" } ] } } } stac-validator-4.2.2/tests/test_data/v100/catalog-with-bad-child-collection.json000066400000000000000000000021611517436701200274560ustar00rootroot00000000000000{ "id": "examples", "type": "Catalog", "title": "Example Catalog", "stac_version": "1.0.0", "description": "This catalog is a simple demonstration of an example catalog that is used to organize a hierarchy of collections and their items. It contains one bad child collection", "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json" }, { "rel": "child", "href": "./collection-only/bad-collection.json", "type": "application/json", "title": "Collection with no items with missing id" }, { "rel": "child", "href": "./collection-only/collection.json", "type": "application/json", "title": "Collection with no items (standalone)" }, { "rel": "child", "href": "./collection-only/collection-with-schemas.json", "type": "application/json", "title": "Collection with no items (standalone with JSON Schemas)" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0/examples/catalog.json", "type": "application/json" } ] } stac-validator-4.2.2/tests/test_data/v100/catalog-with-bad-item.json000066400000000000000000000014141517436701200252000ustar00rootroot00000000000000{ "id": "examples", "type": "Catalog", "title": "Example Catalog", "stac_version": "1.0.0", "description": "This is a valid catalog with links to one valid item and one invalid item.", "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json" }, { "rel": "item", "href": "./bad-item.json", "type": "application/json", "title": "Invalid item" }, { "rel": "item", "href": "./collectionless-item.json", "type": "application/json", "title": "Collection with no items (standalone)" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0/examples/catalog.json", "type": "application/json" } ] } stac-validator-4.2.2/tests/test_data/v100/catalog.json000066400000000000000000000023651517436701200225550ustar00rootroot00000000000000{ "id": "examples", "type": "Catalog", "title": "Example Catalog", "stac_version": "1.0.0", "description": "This catalog is a simple demonstration of an example catalog that is used to organize a hierarchy of collections and their items.", "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json" }, { "rel": "child", "href": "./extensions-collection/collection.json", "type": "application/json", "title": "Collection Demonstrating STAC Extensions" }, { "rel": "child", "href": "./collection-only/collection.json", "type": "application/json", "title": "Collection with no items (standalone)" }, { "rel": "child", "href": "./collection-only/collection-with-schemas.json", "type": "application/json", "title": "Collection with no items (standalone with JSON Schemas)" }, { "rel": "item", "href": "./collectionless-item.json", "type": "application/json", "title": "Collection with no items (standalone)" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0/examples/catalog.json", "type": "application/json" } ] } stac-validator-4.2.2/tests/test_data/v100/collection-only/000077500000000000000000000000001517436701200233545ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v100/collection-only/bad-collection.json000066400000000000000000000132601517436701200271300ustar00rootroot00000000000000{ "type": "Collection", "stac_version": "1.0.0", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json" ], "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "assets": { "metadata_iso_19139": { "roles": [ "metadata", "iso-19139" ], "href": "https://storage.googleapis.com/open-cogs/stac-examples/sentinel-2-iso-19139.xml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" } }, "summaries": { "datetime": { "minimum": "2015-06-23T00:00:00Z", "maximum": "2019-07-10T13:44:56Z" }, "platform": [ "sentinel-2a", "sentinel-2b" ], "constellation": [ "sentinel-2" ], "instruments": [ "msi" ], "view:off_nadir": { "minimum": 0, "maximum": 100 }, "view:sun_elevation": { "minimum": 6.78, "maximum": 89.9 }, "gsd": [ 10, 30, 60 ], "proj:epsg": [ 32601, 32602, 32603, 32604, 32605, 32606, 32607, 32608, 32609, 32610, 32611, 32612, 32613, 32614, 32615, 32616, 32617, 32618, 32619, 32620, 32621, 32622, 32623, 32624, 32625, 32626, 32627, 32628, 32629, 32630, 32631, 32632, 32633, 32634, 32635, 32636, 32637, 32638, 32639, 32640, 32641, 32642, 32643, 32644, 32645, 32646, 32647, 32648, 32649, 32650, 32651, 32652, 32653, 32654, 32655, 32656, 32657, 32658, 32659, 32660 ], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "links": [ { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "root", "href": "../catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/v100/collection-only/collection-with-schemas.json000066400000000000000000000137621517436701200310050ustar00rootroot00000000000000{ "stac_version": "1.0.0", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/sat/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json" ], "id": "sentinel-2", "type": "Collection", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-2A", "description": "The SENTINEL-2 mission is a land monitoring constellation of two satellites each equipped with a MSI (Multispectral Imager) instrument covering 13 spectral bands providing high resolution optical imagery (i.e., 10m, 20m, 60 m) every 10 days with one satellite and 5 days with two satellites", "license": "proprietary", "extent": { "spatial": { "bbox": [ [ -180, -82.852377834669, 180, 82.819463367711 ] ] }, "temporal": { "interval": [ [ "2017-04-12T02:57:21.459000Z", "2021-04-22T11:30:12.767000Z" ] ] } }, "links": [ { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "root", "href": "../catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" }, { "name": "AWS", "roles": [ "host" ], "url": "https://registry.opendata.aws/sentinel-2/" }, { "name": "jeobrowser", "roles": [ "processor" ], "url": "https://github.com/jjrom/resto" } ], "summaries": { "datetime": { "minimum": "2017-04-12T02:57:21Z", "maximum": "2021-04-22T11:30:12Z" }, "instruments": { "type": "string", "const": "msi", "title": "Multispectral Intrument", "count": 6613431 }, "resto:landcover": { "type": "string", "oneOf": [ { "const": "cultivated", "title": "Cultivated", "count": 490750 }, { "const": "desert", "title": "Desert", "count": 543120 }, { "const": "flooded", "title": "Flooded", "count": 5187 }, { "const": "forest", "title": "Forest", "count": 767807 }, { "const": "herbaceous", "title": "Herbaceous", "count": 674281 }, { "const": "ice", "title": "Ice", "count": 231285 }, { "const": "urban", "title": "Urban", "count": 1219 }, { "const": "water", "title": "Water", "count": 2303314 } ] }, "resto:location": { "type": "string", "oneOf": [ { "const": "tropical", "title": "Tropical", "count": 1807474 }, { "const": "southern", "title": "Southern", "count": 1671685 }, { "const": "northern", "title": "Northern", "count": 4876669 }, { "const": "equatorial", "title": "Equatorial", "count": 27302 }, { "const": "coastal", "title": "Coastal", "count": 1495516 } ] }, "platform": { "type": "string", "oneOf": [ { "const": "sentinel-2b", "title": "Sentinel 2B", "count": 3495597 }, { "const": "sentinel-2a", "title": "Sentinel 2A", "count": 3117831 } ] }, "resto:season": { "type": "integer", "oneOf": [ { "const": 0, "title": "Winter", "count": 1621108 }, { "const": 2, "title": "Summer", "count": 2279472 }, { "const": 1, "title": "Spring", "count": 1577067 }, { "const": 3, "title": "Autumn", "count": 1098015 } ] }, "eo:bands": [ { "title": "B1", "common_name": "coastal", "center_wavelength": 4.439, "gsd": 60 }, { "title": "B2", "common_name": "blue", "center_wavelength": 4.966, "gsd": 10 }, { "title": "B3", "common_name": "green", "center_wavelength": 5.6, "gsd": 10 }, { "title": "B4", "common_name": "red", "center_wavelength": 6.645, "gsd": 10 }, { "title": "B5", "center_wavelength": 7.039, "gsd": 20 }, { "title": "B6", "center_wavelength": 7.402, "gsd": 20 }, { "title": "B7", "center_wavelength": 7.825, "gsd": 20 }, { "title": "B8", "common_name": "nir", "center_wavelength": 8.351, "gsd": 10 }, { "title": "B8A", "center_wavelength": 8.648, "gsd": 20 }, { "title": "B9", "center_wavelength": 9.45, "gsd": 60 }, { "title": "B10", "center_wavelength": 1.3735, "gsd": 60 }, { "title": "B11", "common_name": "swir16", "center_wavelength": 1.6137, "gsd": 20 }, { "title": "B12", "common_name": "swir22", "center_wavelength": 2.2024, "gsd": 20 } ] } }stac-validator-4.2.2/tests/test_data/v100/collection-only/collection.json000066400000000000000000000133061517436701200264050ustar00rootroot00000000000000{ "type": "Collection", "stac_version": "1.0.0", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json" ], "id": "sentinel-2", "title": "Sentinel-2 MSI: MultiSpectral Instrument, Level-1C", "description": "Sentinel-2 is a wide-swath, high-resolution, multi-spectral\nimaging mission supporting Copernicus Land Monitoring studies,\nincluding the monitoring of vegetation, soil and water cover,\nas well as observation of inland waterways and coastal areas.\n\nThe Sentinel-2 data contain 13 UINT16 spectral bands representing\nTOA reflectance scaled by 10000. See the [Sentinel-2 User Handbook](https://sentinel.esa.int/documents/247904/685211/Sentinel-2_User_Handbook)\nfor details. In addition, three QA bands are present where one\n(QA60) is a bitmask band with cloud mask information. For more\ndetails, [see the full explanation of how cloud masks are computed.](https://sentinel.esa.int/web/sentinel/technical-guides/sentinel-2-msi/level-1c/cloud-masks)\n\nEach Sentinel-2 product (zip archive) may contain multiple\ngranules. Each granule becomes a separate Earth Engine asset.\nEE asset ids for Sentinel-2 assets have the following format:\nCOPERNICUS/S2/20151128T002653_20151128T102149_T56MNN. Here the\nfirst numeric part represents the sensing date and time, the\nsecond numeric part represents the product generation date and\ntime, and the final 6-character string is a unique granule identifier\nindicating its UTM grid reference (see [MGRS](https://en.wikipedia.org/wiki/Military_Grid_Reference_System)).\n\nFor more details on Sentinel-2 radiometric resoltuon, [see this page](https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/resolutions/radiometric).\n", "license": "proprietary", "keywords": [ "copernicus", "esa", "eu", "msi", "radiance", "sentinel" ], "providers": [ { "name": "European Union/ESA/Copernicus", "roles": [ "producer", "licensor" ], "url": "https://sentinel.esa.int/web/sentinel/user-guides/sentinel-2-msi" } ], "extent": { "spatial": { "bbox": [ [ -180, -56, 180, 83 ] ] }, "temporal": { "interval": [ [ "2015-06-23T00:00:00Z", null ] ] } }, "assets": { "metadata_iso_19139": { "roles": [ "metadata", "iso-19139" ], "href": "https://storage.googleapis.com/open-cogs/stac-examples/sentinel-2-iso-19139.xml", "title": "ISO 19139 metadata", "type": "application/vnd.iso.19139+xml" } }, "summaries": { "datetime": { "minimum": "2015-06-23T00:00:00Z", "maximum": "2019-07-10T13:44:56Z" }, "platform": [ "sentinel-2a", "sentinel-2b" ], "constellation": [ "sentinel-2" ], "instruments": [ "msi" ], "view:off_nadir": { "minimum": 0, "maximum": 100 }, "view:sun_elevation": { "minimum": 6.78, "maximum": 89.9 }, "gsd": [ 10, 30, 60 ], "proj:epsg": [ 32601, 32602, 32603, 32604, 32605, 32606, 32607, 32608, 32609, 32610, 32611, 32612, 32613, 32614, 32615, 32616, 32617, 32618, 32619, 32620, 32621, 32622, 32623, 32624, 32625, 32626, 32627, 32628, 32629, 32630, 32631, 32632, 32633, 32634, 32635, 32636, 32637, 32638, 32639, 32640, 32641, 32642, 32643, 32644, 32645, 32646, 32647, 32648, 32649, 32650, 32651, 32652, 32653, 32654, 32655, 32656, 32657, 32658, 32659, 32660 ], "eo:bands": [ { "name": "B1", "common_name": "coastal", "center_wavelength": 4.439 }, { "name": "B2", "common_name": "blue", "center_wavelength": 4.966 }, { "name": "B3", "common_name": "green", "center_wavelength": 5.6 }, { "name": "B4", "common_name": "red", "center_wavelength": 6.645 }, { "name": "B5", "center_wavelength": 7.039 }, { "name": "B6", "center_wavelength": 7.402 }, { "name": "B7", "center_wavelength": 7.825 }, { "name": "B8", "common_name": "nir", "center_wavelength": 8.351 }, { "name": "B8A", "center_wavelength": 8.648 }, { "name": "B9", "center_wavelength": 9.45 }, { "name": "B10", "center_wavelength": 1.3735 }, { "name": "B11", "common_name": "swir16", "center_wavelength": 1.6137 }, { "name": "B12", "common_name": "swir22", "center_wavelength": 2.2024 } ] }, "links": [ { "rel": "parent", "href": "../catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "root", "href": "../catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "license", "href": "https://scihub.copernicus.eu/twiki/pub/SciHubWebPortal/TermsConditions/Sentinel_Data_Terms_and_Conditions.pdf", "title": "Legal notice on the use of Copernicus Sentinel Data and Service Information" } ] } stac-validator-4.2.2/tests/test_data/v100/collection.json000066400000000000000000000046411517436701200232750ustar00rootroot00000000000000{ "id": "simple-collection", "type": "Collection", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json" ], "stac_version": "1.0.0", "description": "A simple collection demonstrating core catalog fields with links to a couple of items", "title": "Simple Example Collection", "providers": [ { "name": "Remote Data, Inc", "description": "Producers of awesome spatiotemporal assets", "roles": [ "producer", "processor" ], "url": "http://remotedata.io" } ], "extent": { "spatial": { "bbox": [ [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975 ] ] }, "temporal": { "interval": [ [ "2020-12-11T22:38:32.125Z", "2020-12-14T18:02:31.437Z" ] ] } }, "license": "CC-BY-4.0", "summaries": { "platform": [ "cool_sat1", "cool_sat2" ], "constellation": [ "ion" ], "instruments": [ "cool_sensor_v1", "cool_sensor_v2" ], "gsd": { "minimum": 0.512, "maximum": 0.66 }, "eo:cloud_cover": { "minimum": 1.2, "maximum": 1.2 }, "proj:epsg": { "minimum": 32659, "maximum": 32659 }, "view:sun_elevation": { "minimum": 54.9, "maximum": 54.9 }, "view:off_nadir": { "minimum": 3.8, "maximum": 3.8 }, "view:sun_azimuth": { "minimum": 135.7, "maximum": 135.7 } }, "links": [ { "rel": "root", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "item", "href": "./simple-item.json", "type": "application/geo+json", "title": "Simple Item" }, { "rel": "item", "href": "./core-item.json", "type": "application/geo+json", "title": "Core Item" }, { "rel": "item", "href": "./extended-item.json", "type": "application/geo+json", "title": "Extended Item" }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0/examples/collection.json", "type": "application/json" } ] } stac-validator-4.2.2/tests/test_data/v100/collectionless-item.json000066400000000000000000000066501517436701200251220ustar00rootroot00000000000000{ "stac_version": "1.0.0", "stac_extensions": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json" ], "type": "Feature", "id": "CS3-20160503_132131_08", "bbox": [ -122.59750209, 37.48803556, -122.2880486, 37.613537207 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ -122.308150179, 37.488035566 ], [ -122.597502109, 37.538869539 ], [ -122.576687533, 37.613537207 ], [ -122.2880486, 37.562818007 ], [ -122.308150179, 37.488035566 ] ] ] }, "properties": { "title": "Full Item", "description": "A sample STAC Item demonstrates an Item that does not have a collection, which is not recommended, but allowed by the spec.", "datetime": null, "start_datetime": "2016-05-03T13:22:30Z", "end_datetime": "2016-05-03T13:27:30Z", "created": "2016-05-04T00:00:01Z", "updated": "2017-01-01T00:30:55Z", "license": "various", "providers": [ { "name": "Remote Data, Inc", "description": "Producers of awesome spatiotemporal assets", "roles": [ "producer", "processor" ], "url": "http://remotedata.it" } ], "platform": "cool_sat2", "instruments": [ "cool_sensor_v1" ], "view:sun_elevation": 33.4, "gsd": 0.512, "cs:type": "scene", "cs:anomalous_pixels": 0.14, "cs:earth_sun_distance": 1.014156, "cs:sat_id": "CS3", "cs:product_level": "LV1B" }, "links": [ { "rel": "root", "href": "./catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "parent", "href": "./catalog.json", "type": "application/json", "title": "Example Catalog" }, { "rel": "alternate", "type": "text/html", "href": 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"http://cool-sat.com/catalog/CS3-20160503_132130_04/S3-20160503_132130_04.EPH", "title": "Satellite Ephemeris Metadata" } } } stac-validator-4.2.2/tests/test_data/v100/core-item.json000066400000000000000000000063331517436701200230260ustar00rootroot00000000000000{ "stac_version": "1.0.0", "stac_extensions": [], "type": "Feature", "id": "20201211_223832_CS2", "bbox": [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 172.91173669923782, 1.3438851951615003 ], [ 172.95469614953714, 1.3438851951615003 ], [ 172.95469614953714, 1.3690476620161975 ], [ 172.91173669923782, 1.3690476620161975 ], [ 172.91173669923782, 1.3438851951615003 ] ] ] }, "properties": { "title": "Core Item", "description": "A sample STAC Item that includes examples of all common metadata", "datetime": null, "start_datetime": "2020-12-11T22:38:32.125Z", "end_datetime": "2020-12-11T22:38:32.327Z", "created": "2020-12-12T01:48:13.725Z", 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"https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.jpg", "title": "Thumbnail", "type": "image/png", "roles": [ "thumbnail" ] }, "visual": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "3-Band Visual", "roles": [ "visual" ] }, "udm": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic_udm.tif", "title": "Unusable Data Mask", "type": "image/tiff; application=geotiff;" }, "json-metadata": { "href": "http://remotedata.io/catalog/20201211_223832_CS2/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": [ "metadata" ] }, "ephemeris": { "href": "http://cool-sat.com/catalog/20201211_223832_CS2/20201211_223832_CS2.EPH", "title": "Satellite Ephemeris Metadata" } } } stac-validator-4.2.2/tests/test_data/v100/embedded/000077500000000000000000000000001517436701200217735ustar00rootroot00000000000000stac-validator-4.2.2/tests/test_data/v100/embedded/extended-item-no-extensions.json000066400000000000000000000113271517436701200302350ustar00rootroot00000000000000{ "stac_version": "1.0.0", "stac_extensions": [], "type": "Feature", "id": "20201211_223832_CS2", "bbox": [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975 ], "geometry": { "type": "Polygon", "coordinates": [ [ [ 172.91173669923782, 1.3438851951615003 ], [ 172.95469614953714, 1.3438851951615003 ], [ 172.95469614953714, 1.3690476620161975 ], [ 172.91173669923782, 1.3690476620161975 ], [ 172.91173669923782, 1.3438851951615003 ] ] ] }, "properties": { "title": "Extended Item", "description": "A sample STAC Item that includes a variety of examples from the stable extensions", "datetime": "2020-12-14T18:02:31.437000Z", "created": "2020-12-15T01:48:13.725Z", "updated": "2020-12-15T01:48:13.725Z", "platform": "cool_sat2", "instruments": [ "cool_sensor_v2" ], "gsd": 0.66, "eo:cloud_cover": 1.2, "proj:epsg": 32659, "proj:shape": [ 5558, 9559 ], "proj:transform": [ 0.5, 0, 712710, 0, -0.5, 151406, 0, 0, 1 ], "view:sun_elevation": 54.9, "view:off_nadir": 3.8, "view:sun_azimuth": 135.7, "rd:type": "scene", "rd:anomalous_pixels": 0.14, "rd:earth_sun_distance": 1.014156, "rd:sat_id": "cool_sat2", "rd:product_level": "LV3A", "sci:doi": "10.5061/dryad.s2v81.2/27.2" }, "collection": "simple-collection", "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "root", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "parent", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection" }, { "rel": "alternate", "type": "text/html", "href": 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"https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "3-Band Visual", "roles": [ "visual" ], "eo:bands": [ { "name": "band3", "common_name": "red", "center_wavelength": 645, "full_width_half_max": 90 }, { "name": "band2", "common_name": "green", "center_wavelength": 560, "full_width_half_max": 80 }, { "name": "band1", "common_name": "blue", "center_wavelength": 470, "full_width_half_max": 70 } ] }, "udm": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic_udm.tif", "title": "Unusable Data Mask", "type": "image/tiff; application=geotiff;" }, "json-metadata": { "href": "http://remotedata.io/catalog/20201211_223832_CS2/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": [ "metadata" ] }, "ephemeris": { "href": "http://cool-sat.com/catalog/20201211_223832_CS2/20201211_223832_CS2.EPH", "title": 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"Collection" }, "assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } }, "item_assets": { "type": "object", "additionalProperties": { "$ref": "#/definitions/fields" } } } }, { "$ref": "#/definitions/stac_extensions" } ] } ], "definitions": { "stac_extensions": { "type": "object", "required": [ "stac_extensions" ], "properties": { "stac_extensions": { "type": "array" } } }, "fields": { "$comment": "Add your new fields here. 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"https://aria-geoid.s3.us-west-2.amazonaws.com/us_nga_egm2008_1_4326__agisoft.tif" }, { "rel": "derived_from", "href": "https://datapool.asf.alaska.edu/SLC/SA/S1A_IW_SLC__1SSH_20220101T124744_20220101T124814_041267_04E7A2_1DAD.zip" }, { "rel": "dem-source", "href": "https://registry.opendata.aws/copernicus-dem/" }, { "rel": "rtc-algorithm", "href": "https://doi.org/10.1109/TGRS.2022.3147472" }, { "rel": "geocoding-algorithm", "href": "https://doi.org/10.1109/TGRS.2022.3147472" }, { "rel": "noise-correction", "href": "https://sentinels.copernicus.eu/documents/247904/2142675/Thermal-Denoising-of-Products-Generated-by-Sentinel-1-IPF.pdf" }, { "rel": "additional-metadata", "href": "https://deant-data-public-dev.s3.ap-southeast-2.amazonaws.com/experimental/s1_rtc_c1/t070_149822_iw3/2022/1/1/OPERA_L2_RTC-S1_T070-149822-IW3_20220101T124811Z_20250611T234746Z_S1A_20_v0.1.h5" }, { "rel": "self", "href": "https://deant-data-public-dev.s3.ap-southeast-2.amazonaws.com/experimental/s1_rtc_c1/t070_149822_iw3/2022/1/1/metadata.json", "type": "application/json" }, { "rel": "collection", "href": "./collection.json", "type": "application/json" } ], "assets": { "HH": { "href": "https://deant-data-public-dev.s3.ap-southeast-2.amazonaws.com/experimental/s1_rtc_c1/t070_149822_iw3/2022/1/1/OPERA_L2_RTC-S1_T070-149822-IW3_20220101T124811Z_20250611T234746Z_S1A_20_v0.1_HH.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "HH", "description": "HH polarised backscatter", "proj:shape": [ 4539, 2400 ], "proj:transform": [ 20.0, 0.0, 368760.0, 0.0, -20.0, -1347300.0, 0.0, 0.0, 1.0 ], "proj:code": "EPSG:3031", "raster:data_type": "float32", "raster:sampling": "Area", "raster:nodata": "nan", "processing:level": "L2", "roles": [ "data", "backscatter" ] }, "mask": { "href": "https://deant-data-public-dev.s3.ap-southeast-2.amazonaws.com/experimental/s1_rtc_c1/t070_149822_iw3/2022/1/1/OPERA_L2_RTC-S1_T070-149822-IW3_20220101T124811Z_20250611T234746Z_S1A_20_v0.1_mask.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "mask", "description": "shadow layover data mask", "proj:shape": [ 4539, 2400 ], "proj:transform": [ 20.0, 0.0, 368760.0, 0.0, -20.0, -1347300.0, 0.0, 0.0, 1.0 ], "proj:code": "EPSG:3031", "raster:data_type": "uint8", "raster:sampling": "Area", "raster:nodata": 255.0, "raster:values": { "shadow": 1, "layover": 2, "shadow_and_layover": 3, "invalid_sample": 255 }, "roles": [ "data", "auxiliary", "mask", "shadow", "layover" ] }, "thumbnail": { "href": "https://deant-data-public-dev.s3.ap-southeast-2.amazonaws.com/experimental/s1_rtc_c1/t070_149822_iw3/2022/1/1/OPERA_L2_RTC-S1_T070-149822-IW3_20220101T124811Z_20250611T234746Z_S1A_20_v0.1.png", "type": "image/png", "title": "thumbnail", "description": "thumbnail image for backscatter", "roles": [ "thumbnail" ] } }, "collection": "s1_rtc_c1" } stac-validator-4.2.2/tests/test_default.py000066400000000000000000000237631517436701200206540ustar00rootroot00000000000000""" Description: Test the default which validates core and extensions """ from stac_validator import stac_validator def test_default_v070(): stac_file = "https://radarstac.s3.amazonaws.com/stac/catalog.json" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "version": "0.7.0", "path": "https://radarstac.s3.amazonaws.com/stac/catalog.json", "asset_type": "CATALOG", "validation_method": "default", "schema": ["https://cdn.staclint.com/v0.7.0/catalog.json"], "valid_stac": True, } ] def test_default_item_local_v110(): stac_file = "tests/test_data/v110/extended-item.json" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "version": "1.1.0", "path": "tests/test_data/v110/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v2.0.0/schema.json", "https://stac-extensions.github.io/projection/v2.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json", ], "asset_type": "ITEM", "validation_method": "default", "valid_stac": True, } ] def test_default_v090(): stac = stac_validator.StacValidate("tests/test_data/v090/items/good_item_v090.json") stac.run() print(stac.message) assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/items/good_item_v090.json", "schema": [ "https://cdn.staclint.com/v0.9.0/extension/eo.json", "https://cdn.staclint.com/v0.9.0/extension/view.json", "https://cdn.staclint.com/v0.9.0/item.json", ], "asset_type": "ITEM", "validation_method": "default", "valid_stac": True, } ] def test_default_v1beta1(): stac_file = "tests/test_data/1beta1/sentinel2.json" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "path": "tests/test_data/1beta1/sentinel2.json", "asset_type": "COLLECTION", "version": "1.0.0-beta.1", "validation_method": "default", "schema": ["https://cdn.staclint.com/v1.0.0-beta.1/collection.json"], "valid_stac": True, } ] def test_default_proj_v1b2(): stac_file = "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l1c/items/S2A_51SXT_20210415_0_L1C" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "version": "1.0.0-beta.2", "path": "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l1c/items/S2A_51SXT_20210415_0_L1C", "schema": [ "https://cdn.staclint.com/v1.0.0-beta.1/extension/eo.json", "https://cdn.staclint.com/v1.0.0-beta.1/extension/view.json", "https://cdn.staclint.com/v1.0.0-beta.1/extension/projection.json", "https://schemas.stacspec.org/v1.0.0-beta.2/item-spec/json-schema/item.json", ], "asset_type": "ITEM", "validation_method": "default", "valid_stac": True, } ] def test_default_simple_v1rc2(): stac_file = "tests/test_data/1rc2/simple-item.json" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "path": "tests/test_data/1rc2/simple-item.json", "asset_type": "ITEM", "version": "1.0.0-rc.2", "validation_method": "default", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json", ], "valid_stac": True, } ] def test_default_extended_v1rc2(): stac_file = "tests/test_data/1rc2/extended-item.json" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json", ], "asset_type": "ITEM", "validation_method": "default", "valid_stac": True, } ] def test_default_catalog_v1rc2(): stac_file = "tests/test_data/1rc2/catalog.json" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "path": "tests/test_data/1rc2/catalog.json", "asset_type": "CATALOG", "version": "1.0.0-rc.2", "validation_method": "default", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/catalog-spec/json-schema/catalog.json" ], "valid_stac": True, } ] def test_default_collection_validates_extensions(): stac_file = "tests/test_data/v100/collection.json" stac = stac_validator.StacValidate(stac_file) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/collection.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json", ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "default", } ] def test_missing_stac_version(): """Test that missing or empty stac_version provides a clear error message.""" import json import tempfile # Create a test STAC object with empty stac_version test_stac = { "type": "Collection", "id": "test-collection", "stac_version": "", # Empty stac_version "description": "Test collection", "license": "MIT", "extent": { "spatial": {"bbox": [[-180, -90, 180, 90]]}, "temporal": {"interval": [["2020-01-01T00:00:00Z", None]]}, }, "links": [{"rel": "self", "href": "test.json", "type": "application/json"}], } # Write to temp file with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f: json.dump(test_stac, f) temp_file = f.name try: stac = stac_validator.StacValidate(temp_file) stac.run() assert stac.message == [ { "version": "", "path": temp_file, "schema": [], "valid_stac": False, "error_type": "MissingSTACVersion", "error_message": ( "The 'stac_version' field is missing or empty. " "Please ensure your STAC object includes a valid 'stac_version' field " "(e.g., '1.0.0', '1.1.0'). This field is required for proper schema validation." ), "failed_schema": "", "recommendation": "For more accurate error information, rerun with --verbose.", } ] finally: import os os.unlink(temp_file) def test_invalid_stac_version_format(): """Test that invalid stac_version format provides a clear error message.""" import json import tempfile # Test cases for invalid formats invalid_versions = ["1.1", "1", "1.0", "abc", "1.0.0.0"] for invalid_version in invalid_versions: # Create a test STAC object with invalid stac_version format test_stac = { "type": "Collection", "id": "test-collection", "stac_version": invalid_version, # Invalid format "description": "Test collection", "license": "MIT", "extent": { "spatial": {"bbox": [[-180, -90, 180, 90]]}, "temporal": {"interval": [["2020-01-01T00:00:00Z", None]]}, }, "links": [{"rel": "self", "href": "test.json", "type": "application/json"}], } # Write to temp file with tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False) as f: json.dump(test_stac, f) temp_file = f.name try: stac = stac_validator.StacValidate(temp_file) stac.run() assert stac.message == [ { "version": invalid_version, "path": temp_file, "schema": [], "valid_stac": False, "error_type": "InvalidSTACVersionFormat", "error_message": ( f"Version '{invalid_version}' does not match expected format. " "STAC versions should be in semantic versioning format (e.g., '1.0.0', '1.1.0', '1.0.0-beta.1'). " "Please check your 'stac_version' field." ), "failed_schema": "", "recommendation": "For more accurate error information, rerun with --verbose.", } ] finally: import os os.unlink(temp_file) stac-validator-4.2.2/tests/test_extensions.py000066400000000000000000000256241517436701200214250ustar00rootroot00000000000000""" Description: Test validation for extensions """ import pytest from stac_validator import stac_validator @pytest.mark.skip(reason="staclint eo extension schema invalid") def test_item_local_v080(): stac_file = "tests/test_data/v080/items/sample-full.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "0.8.0", "path": "tests/test_data/v080/items/sample-full.json", "asset_type": "ITEM", "validation_method": "extensions", "schema": ["https://cdn.staclint.com/v0.8.0/extension/eo.json"], "valid_stac": True, } ] def test_v090(): stac_file = "tests/test_data/v090/extensions/eo/examples/example-landsat8.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/extensions/eo/examples/example-landsat8.json", "asset_type": "ITEM", "validation_method": "extensions", "schema": [ "https://cdn.staclint.com/v0.9.0/extension/eo.json", "https://cdn.staclint.com/v0.9.0/extension/view.json", ], "valid_stac": True, } ] def test_v1beta1(): stac_file = "tests/test_data/1beta1/sentinel2.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0-beta.1", "path": "tests/test_data/1beta1/sentinel2.json", "schema": ["https://cdn.staclint.com/v1.0.0-beta.1/collection.json"], "asset_type": "COLLECTION", "validation_method": "extensions", "valid_stac": True, } ] def test_no_extensions_v1beta2(): stac_file = "tests/test_data/1beta2/stac_item.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "path": "tests/test_data/1beta2/stac_item.json", "asset_type": "ITEM", "version": "1.0.0-beta.2", "validation_method": "extensions", "schema": [ "https://schemas.stacspec.org/v1.0.0-beta.2/item-spec/json-schema/item.json" ], "valid_stac": True, } ] def test_v1beta2(): stac_file = "tests/test_data/1beta2/CBERS_4.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0-beta.2", "path": "tests/test_data/1beta2/CBERS_4.json", "schema": [ "https://cdn.staclint.com/v1.0.0-beta.1/extension/projection.json", "https://cdn.staclint.com/v1.0.0-beta.1/extension/view.json", ], "asset_type": "ITEM", "validation_method": "extensions", "valid_stac": True, } ] def test_remote_v1rc3(): stac_file = "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.3/examples/extended-item.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.3", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.3/examples/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "extensions", } ] def test_remote_v1rc4(): stac_file = "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.4/examples/extended-item.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.4", "path": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.4/examples/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "extensions", } ] def test_local_v1rc2(): stac_file = ( "tests/test_data/1rc2/extensions-collection/./proj-example/proj-example.json" ) stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/extensions-collection/./proj-example/proj-example.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "extensions", } ] def test_catalog_v1rc2(): stac_file = "tests/test_data/1rc2/catalog.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/catalog.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/catalog-spec/json-schema/catalog.json" ], "asset_type": "CATALOG", "validation_method": "extensions", "valid_stac": True, } ] def test_item_v100(): stac_file = "tests/test_data/v100/extended-item.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "extensions", } ] def test_item_v100_local_schema(): stac_file = "tests/test_data/v100/extended-item-local.json" stac = stac_validator.StacValidate(stac_file, extensions=True) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item-local.json", "schema": ["../schema/v1.0.0/projection.json"], "valid_stac": True, "asset_type": "ITEM", "validation_method": "extensions", } ] def test_item_v100_override_schema_with_schema_map(): stac_file = "tests/test_data/v100/extended-item.json" stac = stac_validator.StacValidate( stac_file, extensions=True, schema_map={ "https://stac-extensions.github.io/projection/v1.0.0/schema.json": "tests/test_data/schema/v1.0.0/projection.json" }, ) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "tests/test_data/schema/v1.0.0/projection.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "extensions", } ] def test_item_v100_local_schema_unreachable_url_schema_map_override(): """ This tests that references in schemas are also replaced by the schema_map """ stac_file = "tests/test_data/v100/extended-item-local.json" schema = "tests/test_data/schema/v1.0.0/item_with_unreachable_url.json" stac = stac_validator.StacValidate( stac_file, custom=schema, schema_map={ "https://geojson-wrong-url.org/schema/Feature.json": "https://geojson.org/schema/Feature.json", "https://geojson-wrong-url.org/schema/Geometry.json": "https://geojson.org/schema/Geometry.json", }, ) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item-local.json", "schema": ["tests/test_data/schema/v1.0.0/item_with_unreachable_url.json"], "valid_stac": True, "asset_type": "ITEM", "validation_method": "custom", } ] def test_verbose_mode_output(): """Test that verbose mode provides detailed error information in the expected format.""" stac_file = "tests/test_data/v100/bad-item.json" stac = stac_validator.StacValidate(stac_file, verbose=True) stac.run() assert len(stac.message) == 1 msg = stac.message[0] # Check basic fields assert msg["version"] == "1.0.0" assert msg["path"] == "tests/test_data/v100/bad-item.json" assert msg["valid_stac"] is False assert msg["error_type"] == "JSONSchemaValidationError" assert msg["error_message"] == "'id' is a required property" # Check schema URL assert len(msg["schema"]) == 1 assert ( "schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" in msg["schema"][0] ) # Check verbose error details assert "error_verbose" in msg verbose = msg["error_verbose"] assert verbose["validator"] == "required" assert isinstance(verbose["validator_value"], str) assert all( field in verbose["validator_value"] for field in ["stac_version", "id", "links", "assets", "properties"] ) assert isinstance(verbose["schema"], list) assert all(isinstance(field, str) for field in verbose["schema"]) assert isinstance(verbose["path_in_document"], list) assert isinstance(verbose["path_in_schema"], list) assert len(verbose["path_in_schema"]) > 0 # Should have some path elements stac-validator-4.2.2/tests/test_fast_validator.py000066400000000000000000000325461517436701200222310ustar00rootroot00000000000000import json import pytest from stac_validator.fast_validator import FastValidator @pytest.fixture def valid_item(tmp_path): """Create a valid STAC Item.""" item_path = tmp_path / "valid_item.json" item_data = { "stac_version": "1.0.0", "type": "Feature", "id": "test-item", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [{"rel": "self", "href": "http://example.com"}], "assets": {}, } item_path.write_text(json.dumps(item_data)) return str(item_path) @pytest.fixture def valid_collection(tmp_path): """Create a valid STAC Collection.""" coll_path = tmp_path / "valid_collection.json" coll_data = { "stac_version": "1.0.0", "type": "Collection", "id": "test-collection", "description": "Test collection", "license": "MIT", "extent": { "spatial": {"bbox": [[-180, -90, 180, 90]]}, "temporal": {"interval": [["2023-01-01T00:00:00Z", None]]}, }, "links": [], } coll_path.write_text(json.dumps(coll_data)) return str(coll_path) @pytest.fixture def valid_catalog(tmp_path): """Create a valid STAC Catalog.""" cat_path = tmp_path / "valid_catalog.json" cat_data = { "stac_version": "1.0.0", "type": "Catalog", "id": "test-catalog", "description": "Test catalog", "links": [], } cat_path.write_text(json.dumps(cat_data)) return str(cat_path) @pytest.fixture def valid_feature_collection(tmp_path): """Create a valid FeatureCollection with multiple items.""" fc_path = tmp_path / "valid_fc.json" fc_data = { "type": "FeatureCollection", "features": [ { "stac_version": "1.0.0", "type": "Feature", "id": f"item-{i}", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [{"rel": "self", "href": "http://example.com"}], "assets": {}, } for i in range(5) ], } fc_path.write_text(json.dumps(fc_data)) return str(fc_path) @pytest.fixture def invalid_item(tmp_path): """Create an invalid STAC Item (missing required 'id').""" item_path = tmp_path / "invalid_item.json" item_data = { "stac_version": "1.0.0", "type": "Feature", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [], "assets": {}, } item_path.write_text(json.dumps(item_data)) return str(item_path) @pytest.fixture def invalid_feature_collection(tmp_path): """Create a FeatureCollection with some invalid items.""" fc_path = tmp_path / "invalid_fc.json" fc_data = { "type": "FeatureCollection", "features": [ { "stac_version": "1.0.0", "type": "Feature", "id": "valid-item", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [{"rel": "self", "href": "http://example.com"}], "assets": {}, }, { "stac_version": "1.0.0", "type": "Feature", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [], "assets": {}, }, ], } fc_path.write_text(json.dumps(fc_data)) return str(fc_path) class TestFastValidatorBasic: """Test basic functionality of FastValidator.""" def test_valid_item(self, valid_item): """Test validation of a valid STAC Item.""" fv = FastValidator(valid_item, quiet=True) fv.run() assert fv.valid is True def test_valid_collection(self, valid_collection): """Test validation of a valid STAC Collection.""" fv = FastValidator(valid_collection, quiet=True) fv.run() assert fv.valid is True def test_valid_catalog(self, valid_catalog): """Test validation of a valid STAC Catalog.""" fv = FastValidator(valid_catalog, quiet=True) fv.run() assert fv.valid is True def test_valid_feature_collection(self, valid_feature_collection): """Test validation of a valid FeatureCollection.""" fv = FastValidator(valid_feature_collection, quiet=True) fv.run() assert fv.valid is True def test_invalid_item(self, invalid_item): """Test that invalid items are detected.""" fv = FastValidator(invalid_item, quiet=True) fv.run() assert fv.valid is False def test_invalid_feature_collection(self, invalid_feature_collection): """Test that FeatureCollections with invalid items are detected.""" fv = FastValidator(invalid_feature_collection, quiet=True) fv.run() assert fv.valid is False class TestFastValidatorOptions: """Test FastValidator options.""" def test_quiet_mode(self, valid_item, capsys): """Test quiet mode suppresses item-level output.""" fv = FastValidator(valid_item, quiet=True) fv.run() captured = capsys.readouterr() assert "VALIDATION SUMMARY" in captured.out def test_verbose_mode(self, valid_feature_collection, capsys): """Test verbose mode shows all items.""" fv = FastValidator(valid_feature_collection, quiet=False, verbose=True) fv.run() captured = capsys.readouterr() assert "[1]" in captured.out assert "[5]" in captured.out def test_non_verbose_mode(self, tmp_path, capsys): """Test non-verbose mode shows first 5 items and silences rest.""" fc_path = tmp_path / "large_fc.json" fc_data = { "type": "FeatureCollection", "features": [ { "stac_version": "1.0.0", "type": "Feature", "id": f"item-{i}", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [{"rel": "self", "href": "http://example.com"}], "assets": {}, } for i in range(20) ], } fc_path.write_text(json.dumps(fc_data)) fv = FastValidator(str(fc_path), quiet=False, verbose=False) fv.run() captured = capsys.readouterr() assert "[1]" in captured.out assert "silencing output" in captured.out class TestFastValidatorDetection: """Test STAC type detection.""" def test_detects_item(self, valid_item, capsys): """Test detection of STAC Item.""" fv = FastValidator(valid_item, quiet=False) fv.run() captured = capsys.readouterr() assert "Item" in captured.out or "Feature" in captured.out def test_detects_collection(self, valid_collection, capsys): """Test detection of STAC Collection.""" fv = FastValidator(valid_collection, quiet=False) fv.run() captured = capsys.readouterr() assert "Collection" in captured.out def test_detects_catalog(self, valid_catalog, capsys): """Test detection of STAC Catalog.""" fv = FastValidator(valid_catalog, quiet=False) fv.run() captured = capsys.readouterr() assert "Catalog" in captured.out def test_detects_feature_collection(self, valid_feature_collection, capsys): """Test detection of FeatureCollection.""" fv = FastValidator(valid_feature_collection, quiet=False) fv.run() captured = capsys.readouterr() assert "FeatureCollection" in captured.out class TestFastValidatorErrorHandling: """Test error handling.""" def test_file_not_found(self): """Test handling of missing file.""" fv = FastValidator("/nonexistent/path/file.json", quiet=True) fv.run() assert fv.valid is False def test_invalid_json(self, tmp_path): """Test handling of invalid JSON.""" bad_json_path = tmp_path / "bad.json" bad_json_path.write_text("{ invalid json }") fv = FastValidator(str(bad_json_path), quiet=True) fv.run() assert fv.valid is False def test_unknown_type(self, tmp_path): """Test handling of unknown STAC type.""" unknown_path = tmp_path / "unknown.json" unknown_data = {"type": "UnknownType", "id": "test"} unknown_path.write_text(json.dumps(unknown_data)) fv = FastValidator(str(unknown_path), quiet=True) fv.run() assert fv.valid is False class TestFastValidatorPerformance: """Test performance characteristics.""" def test_caching_works(self, valid_feature_collection): """Test that validator caching works.""" fv = FastValidator(valid_feature_collection, quiet=True) fv.run() assert fv.valid is True def test_large_feature_collection(self, tmp_path): """Test validation of a large FeatureCollection.""" fc_path = tmp_path / "large_fc.json" fc_data = { "type": "FeatureCollection", "features": [ { "stac_version": "1.0.0", "type": "Feature", "id": f"item-{i}", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [{"rel": "self", "href": "http://example.com"}], "assets": {}, } for i in range(100) ], } fc_path.write_text(json.dumps(fc_data)) fv = FastValidator(str(fc_path), quiet=True) fv.run() assert fv.valid is True def test_message_attribute_structure(self, valid_item): """Test that the message attribute has the correct structure.""" fv = FastValidator(valid_item, quiet=True) fv.run() # Verify message is a list with one dict assert isinstance(fv.message, list) assert len(fv.message) == 1 msg = fv.message[0] # Verify required fields exist assert "path" in msg assert "valid_stac" in msg assert "stac_versions" in msg assert "schemas_checked" in msg assert "total_objects" in msg assert "valid_objects" in msg assert "invalid_objects" in msg assert "setup_time_ms" in msg assert "execution_time_ms" in msg assert "errors" in msg # Verify field types assert isinstance(msg["path"], str) assert isinstance(msg["valid_stac"], bool) assert isinstance(msg["stac_versions"], list) assert isinstance(msg["schemas_checked"], list) assert isinstance(msg["total_objects"], int) assert isinstance(msg["valid_objects"], int) assert isinstance(msg["invalid_objects"], int) assert isinstance(msg["setup_time_ms"], float) assert isinstance(msg["execution_time_ms"], float) assert isinstance(msg["errors"], list) def test_message_attribute_valid_items(self, valid_feature_collection): """Test message attribute for valid items.""" fv = FastValidator(valid_feature_collection, quiet=True) fv.run() msg = fv.message[0] # For valid items assert msg["valid_stac"] is True assert msg["total_objects"] == 5 assert msg["valid_objects"] == 5 assert msg["invalid_objects"] == 0 assert len(msg["errors"]) == 0 # Verify versions and schemas are tracked assert len(msg["stac_versions"]) > 0 assert len(msg["schemas_checked"]) > 0 assert "1.0.0" in msg["stac_versions"] def test_message_attribute_invalid_items(self, tmp_path): """Test message attribute for invalid items.""" fc_path = tmp_path / "invalid_fc.json" fc_data = { "type": "FeatureCollection", "features": [ { "stac_version": "1.0.0", "type": "Feature", "id": "item-1", "geometry": None, "properties": {"datetime": "2023-01-01T00:00:00Z"}, "links": [{"rel": "self", "href": "http://example.com"}], "assets": {}, }, { "stac_version": "1.0.0", "type": "Feature", "id": "item-2", "geometry": None, # Missing required 'properties' field "links": [{"rel": "self", "href": "http://example.com"}], "assets": {}, }, ], } fc_path.write_text(json.dumps(fc_data)) fv = FastValidator(str(fc_path), quiet=True) fv.run() msg = fv.message[0] # For mixed valid/invalid items assert msg["valid_stac"] is False assert msg["total_objects"] == 2 assert msg["valid_objects"] == 1 assert msg["invalid_objects"] == 1 assert len(msg["errors"]) > 0 # Verify error structure for error in msg["errors"]: assert "error_message" in error assert "affected_items" in error assert "count" in error assert isinstance(error["affected_items"], list) assert error["count"] == len(error["affected_items"]) stac-validator-4.2.2/tests/test_header.py000066400000000000000000000033231517436701200204460ustar00rootroot00000000000000""" Description: Test --header option """ import json import requests_mock from stac_validator import stac_validator def test_header(): stac_file = "tests/test_data/v110/simple-item.json" url = "https://localhost/" + stac_file no_headers = {} valid_headers = {"x-api-key": "a-valid-api-key"} with requests_mock.Mocker(real_http=True) as mock, open(stac_file) as json_data: mock.get(url, request_headers=no_headers, status_code=403) mock.get(url, request_headers=valid_headers, json=json.load(json_data)) stac = stac_validator.StacValidate(url, core=True, headers=valid_headers) stac.run() assert stac.message == [ { "version": "1.1.0", "path": "https://localhost/tests/test_data/v110/simple-item.json", "schema": [ "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "core", } ] stac = stac_validator.StacValidate(url, core=True, headers=no_headers) stac.run() assert stac.message == [ { "version": "", "path": "https://localhost/tests/test_data/v110/simple-item.json", "schema": [], "valid_stac": False, "error_type": "HTTPError", "failed_schema": "", "error_message": "403 Client Error: None for url: https://localhost/tests/test_data/v110/simple-item.json", "recommendation": "For more accurate error information, rerun with --verbose.", } ] stac-validator-4.2.2/tests/test_links.py000066400000000000000000000070071517436701200203410ustar00rootroot00000000000000""" Description: Test --links option """ from stac_validator import stac_validator def test_poorly_formatted_v090(): stac_file = "tests/test_data/v090/items/CBERS_4_bad_links.json" stac = stac_validator.StacValidate(stac_file, links=True) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/items/CBERS_4_bad_links.json", "schema": [ "https://cdn.staclint.com/v0.9.0/extension/view.json", "https://cdn.staclint.com/v0.9.0/item.json", ], "valid_stac": False, "error_type": "JSONSchemaValidationError", "failed_schema": "https://cdn.staclint.com/v0.9.0/extension/view.json", "error_message": "-0.00751271 is less than the minimum of 0. Error is in properties -> view:off_nadir ", "recommendation": "For more accurate error information, rerun with --verbose.", "validation_method": "default", "links_validated": { "format_valid": [ "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4.json", "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/catalog.json", ], "format_invalid": [ "https:/cbers-stac-0-6.s3.amazonaws/collections/CBERS_4_MUX_collection.json" ], "request_valid": [], "request_invalid": [ "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/106/CBERS_4_MUX_20181029_177_106_L4.json", "https://cbers-stac-0-6.s3.amazonaws.com/CBERS4/MUX/177/catalog.json", "https:/cbers-stac-0-6.s3.amazonaws/collections/CBERS_4_MUX_collection.json", ], }, } ] def test_item_v100(): stac_file = "tests/test_data/v100/extended-item.json" stac = stac_validator.StacValidate(stac_file, links=True) stac.run() assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", "links_validated": { "format_valid": [ "http://remotedata.io/collection.json", "http://remotedata.io/collection.json", "http://remotedata.io/collection.json", "http://remotedata.io/catalog/20201211_223832_CS2/index.html", ], "format_invalid": [], "request_valid": [], "request_invalid": [ "http://remotedata.io/collection.json", "http://remotedata.io/collection.json", "http://remotedata.io/collection.json", "http://remotedata.io/catalog/20201211_223832_CS2/index.html", ], }, } ] stac-validator-4.2.2/tests/test_pydantic.py000066400000000000000000000073651517436701200210430ustar00rootroot00000000000000""" Description: Test the validator for Pydantic model validation """ from stac_validator import stac_validator def test_pydantic_item_local_v110(): stac_file = "tests/test_data/v110/simple-item.json" stac = stac_validator.StacValidate(stac_file, pydantic=True) stac.run() assert stac.message[0]["version"] == "1.1.0" assert stac.message[0]["path"] == "tests/test_data/v110/simple-item.json" assert stac.message[0]["schema"] == ["stac-pydantic Item model"] assert stac.message[0]["valid_stac"] is True assert stac.message[0]["asset_type"] == "ITEM" assert stac.message[0]["validation_method"] == "pydantic" assert stac.message[0]["model_validation"] == "passed" def test_pydantic_collection_local_v110(): stac_file = "tests/test_data/v110/collection.json" stac = stac_validator.StacValidate(stac_file, pydantic=True) stac.run() assert stac.message[0]["version"] == "1.1.0" assert stac.message[0]["path"] == "tests/test_data/v110/collection.json" assert stac.message[0]["schema"] == ["stac-pydantic Collection model"] assert stac.message[0]["valid_stac"] is True assert stac.message[0]["asset_type"] == "COLLECTION" assert stac.message[0]["validation_method"] == "pydantic" assert "extension_schemas" in stac.message[0] assert stac.message[0]["model_validation"] == "passed" # Find a catalog file in v100 directory since v110 doesn't have one def test_pydantic_catalog_local_v100(): stac_file = "tests/test_data/v100/catalog.json" stac = stac_validator.StacValidate(stac_file, pydantic=True) stac.run() assert stac.message[0]["version"] == "1.0.0" assert stac.message[0]["path"] == "tests/test_data/v100/catalog.json" assert stac.message[0]["schema"] == ["stac-pydantic Catalog model"] assert stac.message[0]["valid_stac"] is True assert stac.message[0]["asset_type"] == "CATALOG" assert stac.message[0]["validation_method"] == "pydantic" assert stac.message[0]["model_validation"] == "passed" def test_pydantic_invalid_item(): # Test with a file that should fail Pydantic validation stac_file = "tests/test_data/bad_data/bad_item_v090.json" stac = stac_validator.StacValidate(stac_file, pydantic=True) stac.run() assert stac.message[0]["version"] == "0.9.0" assert stac.message[0]["path"] == "tests/test_data/bad_data/bad_item_v090.json" assert stac.message[0]["valid_stac"] is False assert stac.message[0]["asset_type"] == "ITEM" assert stac.message[0]["validation_method"] == "pydantic" assert "error_type" in stac.message[0] assert "error_message" in stac.message[0] def test_pydantic_recursive(): """Test pydantic validation in recursive mode.""" stac_file = "tests/test_data/local_cat/example-catalog/catalog.json" stac = stac_validator.StacValidate( stac_file, pydantic=True, recursive=True, max_depth=2 # Limit depth for testing ) stac.run() # Check that we have validation messages assert len(stac.message) > 0 # Check each validation message for msg in stac.message: # Check that validator_engine is set to pydantic assert msg["validator_engine"] == "pydantic" # Check that validation_method is recursive assert msg["validation_method"] == "recursive" # Check that valid_stac is a boolean assert isinstance(msg["valid_stac"], bool) # Check that schema is set to pydantic model based on asset type if msg["asset_type"] == "ITEM": assert msg["schema"] == ["stac-pydantic Item model"] elif msg["asset_type"] == "COLLECTION": assert msg["schema"] == ["stac-pydantic Collection model"] elif msg["asset_type"] == "CATALOG": assert msg["schema"] == ["stac-pydantic Catalog model"] stac-validator-4.2.2/tests/test_recursion.py000066400000000000000000000366521517436701200212420ustar00rootroot00000000000000""" Description: Test validation for recursion """ from stac_validator import stac_validator def test_recursive_lvl_4_local_v100(): stac_file = "tests/test_data/local_cat/open-science-catalog-testing/catalog.json" stac = stac_validator.StacValidate(stac_file, recursive=True, max_depth=4) stac.run() assert stac.valid assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/local_cat/open-science-catalog-testing/catalog.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/catalog-spec/json-schema/catalog.json" ], "valid_stac": True, "asset_type": "CATALOG", "validation_method": "recursive", "validator_engine": "jsonschema", }, { "version": "1.0.0", "path": "tests/test_data/local_cat/open-science-catalog-testing/./projects/catalog.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/catalog-spec/json-schema/catalog.json" ], "valid_stac": True, "asset_type": "CATALOG", "validation_method": "recursive", "validator_engine": "jsonschema", }, { "version": "1.0.0", "path": "tests/test_data/local_cat/open-science-catalog-testing/./projects/./3d-earth/collection.json", "schema": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json", "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json", ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "recursive", "validator_engine": "jsonschema", }, { "version": "1.0.0", "path": "tests/test_data/local_cat/open-science-catalog-testing/./projects/./3dctrl/collection.json", "schema": [ "https://stac-extensions.github.io/osc/v1.0.0-rc.3/schema.json", "https://stac-extensions.github.io/contacts/v0.1.1/schema.json", "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json", ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "recursive", "validator_engine": "jsonschema", }, ] def test_recursive_local_v090(): stac_file = "tests/test_data/v090/catalog.json" stac = stac_validator.StacValidate(stac_file, recursive=True, max_depth=1) stac.run() assert stac.message == [ { "version": "0.9.0", "path": "tests/test_data/v090/catalog.json", "schema": ["https://cdn.staclint.com/v0.9.0/catalog.json"], "asset_type": "CATALOG", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "0.9.0", "path": "tests/test_data/v090/items/sample.json", "schema": ["https://cdn.staclint.com/v0.9.0/item.json"], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "0.9.0", "path": "tests/test_data/v090/items/good_item_v090.json", "schema": [ "https://cdn.staclint.com/v0.9.0/extension/eo.json", "https://cdn.staclint.com/v0.9.0/extension/view.json", "https://cdn.staclint.com/v0.9.0/item.json", ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, ] def test_recursive_v1beta1(): stac_file = "tests/test_data/1beta1/sentinel2.json" stac = stac_validator.StacValidate(stac_file, recursive=True, max_depth=0) stac.run() assert stac.message == [ { "version": "1.0.0-beta.1", "path": "tests/test_data/1beta1/sentinel2.json", "schema": ["https://cdn.staclint.com/v1.0.0-beta.1/collection.json"], "asset_type": "COLLECTION", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", } ] def test_recursive_v1beta2(): stac_file = "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/1.0.0-beta.2/collection-spec/examples/sentinel2.json" stac = stac_validator.StacValidate(stac_file, recursive=True, max_depth=0) stac.run() assert stac.message == [ { "version": "1.0.0-beta.2", "path": "https://raw.githubusercontent.com/stac-utils/pystac/main/tests/data-files/examples/1.0.0-beta.2/collection-spec/examples/sentinel2.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-beta.2/collection-spec/json-schema/collection.json" ], "asset_type": "COLLECTION", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", } ] def test_recursion_collection_local_v1rc1(): stac_file = "tests/test_data/1rc1/collection.json" stac = stac_validator.StacValidate(stac_file, recursive=True, max_depth=1) stac.run() assert stac.message == [ { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/collection.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.1/collection-spec/json-schema/collection.json" ], "asset_type": "COLLECTION", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/./simple-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.1/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/./core-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.1/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "1.0.0-rc.1", "path": "tests/test_data/1rc1/./extended-item.json", "schema": [ "https://cdn.staclint.com/v1.0.0-rc.1/extension/eo.json", "https://cdn.staclint.com/v1.0.0-rc.1/extension/projection.json", "https://cdn.staclint.com/v1.0.0-rc.1/extension/scientific.json", "https://cdn.staclint.com/v1.0.0-rc.1/extension/view.json", "https://schemas.stacspec.org/v1.0.0-rc.1/item-spec/json-schema/item.json", ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, ] def test_recursion_collection_local_v1rc2(): stac_file = "tests/test_data/1rc2/collection.json" stac = stac_validator.StacValidate(stac_file, recursive=True, max_depth=1) stac.run() assert stac.message == [ { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/collection.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/collection-spec/json-schema/collection.json" ], "asset_type": "COLLECTION", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/./simple-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/./core-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/./extended-item.json", "schema": [ "https://stac-extensions.github.io/eo/v1.0.0/schema.json", "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://stac-extensions.github.io/scientific/v1.0.0/schema.json", "https://stac-extensions.github.io/view/v1.0.0/schema.json", "https://stac-extensions.github.io/remote-data/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json", ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, ] def test_recursion_collection_local_2_v1rc2(): stac_file = "tests/test_data/1rc2/extensions-collection/collection.json" stac = stac_validator.StacValidate(stac_file, recursive=True, max_depth=1) stac.run() assert stac.message == [ { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/extensions-collection/collection.json", "schema": [ "https://stac-extensions.github.io/projection/v1.1.0/schema.json", "https://schemas.stacspec.org/v1.0.0-rc.2/collection-spec/json-schema/collection.json", ], "asset_type": "COLLECTION", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, { "version": "1.0.0-rc.2", "path": "tests/test_data/1rc2/extensions-collection/./proj-example/proj-example.json", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/item-spec/json-schema/item.json" ], "asset_type": "ITEM", "validation_method": "recursive", "valid_stac": True, "validator_engine": "jsonschema", }, ] def test_recursion_without_max_depth(): stac_file = "tests/test_data/v100/catalog.json" stac = stac_validator.StacValidate(stac_file, recursive=True) stac.run() assert len(stac.message) == 6 def test_recursion_with_bad_item(): stac_file = "tests/test_data/v100/catalog-with-bad-item.json" stac = stac_validator.StacValidate(stac_file, recursive=True) stac.run() assert not stac.valid assert len(stac.message) == 1 assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/./bad-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": False, "error_type": "JSONSchemaValidationError", "failed_schema": "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", "error_message": "'id' is a required property", "recommendation": "For more accurate error information, rerun with --verbose.", }, ] def test_recursion_with_bad_item_trace_recursion(): stac_file = "tests/test_data/v100/catalog-with-bad-item.json" stac = stac_validator.StacValidate(stac_file, recursive=True, trace_recursion=True) stac.run() assert not stac.valid assert len(stac.message) == 2 assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/catalog-with-bad-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/catalog-spec/json-schema/catalog.json" ], "valid_stac": True, "asset_type": "CATALOG", "validation_method": "recursive", "validator_engine": "jsonschema", }, { "version": "1.0.0", "path": "tests/test_data/v100/./bad-item.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": False, "error_type": "JSONSchemaValidationError", "failed_schema": "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", "error_message": "'id' is a required property", "recommendation": "For more accurate error information, rerun with --verbose.", }, ] def test_recursion_with_bad_child_collection(): # It is important here that there is a second good child in the collection # since a previous bug did not correctly set the valid variable if the last # child passed validation stac_file = "tests/test_data/v100/catalog-with-bad-child-collection.json" stac = stac_validator.StacValidate(stac_file, recursive=True) stac.run() assert not stac.valid assert len(stac.message) == 1 assert stac.message == [ { "version": "1.0.0", "path": "tests/test_data/v100/./collection-only/bad-collection.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json" ], "valid_stac": False, "asset_type": "COLLECTION", "validation_method": "recursive", "validator_engine": "jsonschema", "error_type": "JSONSchemaValidationError", "failed_schema": "https://schemas.stacspec.org/v1.0.0/collection-spec/json-schema/collection.json", "error_message": "'id' is a required property", "recommendation": "For more accurate error information, rerun with --verbose.", } ] def test_recursion_with_missing_collection_link(): stac_file = "tests/test_data/v100/item-without-collection-link.json" stac = stac_validator.StacValidate(stac_file, recursive=True) assert not stac.run() assert not stac.valid assert len(stac.message) == 1 assert stac.message == [ { "asset_type": "ITEM", "version": "1.0.0", "path": "tests/test_data/v100/item-without-collection-link.json", "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": False, "validation_method": "recursive", "validator_engine": "jsonschema", "error_type": "JSONSchemaValidationError", "failed_schema": "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", "error_message": "'simple-collection' should not be valid under {}. Error is in collection ", "recommendation": "For more accurate error information, rerun with --verbose.", }, ] stac-validator-4.2.2/tests/test_schema_cache.py000066400000000000000000000062411517436701200216030ustar00rootroot00000000000000"""Test schema caching behavior.""" import pytest from stac_validator.utilities import ( DEFAULT_SCHEMA_CACHE_SIZE, fetch_and_parse_schema, set_schema_cache_size, ) from stac_validator.validate import StacValidate def test_schema_cache_with_extensions(): """Test that extension schemas are cached across validations.""" original_cache_info = fetch_and_parse_schema.cache_info() original_maxsize = original_cache_info.maxsize try: # Use a sufficiently large cache to avoid evictions during this test set_schema_cache_size(256) fetch_and_parse_schema.cache_clear() stac_file = "tests/test_data/v100/extended-item.json" # First validation stac1 = StacValidate(stac_file) stac1.run() cache_info_1 = fetch_and_parse_schema.cache_info() hits_after_first = cache_info_1.hits misses_after_first = cache_info_1.misses size_after_first = cache_info_1.currsize # Second validation with same file stac2 = StacValidate(stac_file) stac2.run() cache_info_2 = fetch_and_parse_schema.cache_info() hits_after_second = cache_info_2.hits misses_after_second = cache_info_2.misses size_after_second = cache_info_2.currsize # Verify cache is working assert ( size_after_first > 0 ), "Cache should contain schemas after first validation" assert ( size_after_second == size_after_first ), "Cache size should not grow on second validation" assert ( hits_after_second > hits_after_first ), "Cache hits should increase on second validation" assert ( misses_after_second == misses_after_first ), "No new misses on second validation" finally: set_schema_cache_size(original_maxsize) fetch_and_parse_schema.cache_clear() def test_schema_cache_size_can_be_reconfigured(): """Cache maxsize can be changed at runtime.""" try: set_schema_cache_size(2) fetch_and_parse_schema.cache_clear() fetch_and_parse_schema("local_schemas/v1.0.0/catalog.json") fetch_and_parse_schema("local_schemas/v1.0.0/collection.json") fetch_and_parse_schema("local_schemas/v1.0.0/item.json") cache_info = fetch_and_parse_schema.cache_info() assert cache_info.maxsize == 2 assert cache_info.currsize == 2 finally: set_schema_cache_size(DEFAULT_SCHEMA_CACHE_SIZE) fetch_and_parse_schema.cache_clear() def test_schema_cache_size_rejects_negative(): with pytest.raises(ValueError): set_schema_cache_size(-1) def test_schema_cache_size_zero_disables_cache(): try: set_schema_cache_size(0) fetch_and_parse_schema.cache_clear() fetch_and_parse_schema("local_schemas/v1.0.0/catalog.json") fetch_and_parse_schema("local_schemas/v1.0.0/catalog.json") cache_info = fetch_and_parse_schema.cache_info() assert cache_info.maxsize == 0 assert cache_info.hits == 0 assert cache_info.currsize == 0 finally: set_schema_cache_size(DEFAULT_SCHEMA_CACHE_SIZE) fetch_and_parse_schema.cache_clear() stac-validator-4.2.2/tests/test_sys_exit.py000066400000000000000000000023411517436701200210640ustar00rootroot00000000000000import subprocess import pytest def test_correct_sys_exit_error_python(): with pytest.raises(subprocess.CalledProcessError): subprocess.run( [ "stac-validator", "validate", "tests/test_data/bad_data/bad_item_v090.json", ], check=True, ) def test_correct_sys_exit_error_recursion(): with pytest.raises(subprocess.CalledProcessError): subprocess.run( [ "stac-validator", "validate", "tests/test_data/v100/catalog-with-bad-item.json", "--recursive", "--max-depth", "10", ], check=True, ) def test_false_sys_exit_error_python(): subprocess.run( [ "stac-validator", "validate", "tests/test_data/v090/items/good_item_v090.json", ], check=True, ) def test_cli_schema_cache_size_option(): subprocess.run( [ "stac-validator", "validate", "tests/test_data/v090/items/good_item_v090.json", "--schema-cache-size", "8", ], check=True, ) stac-validator-4.2.2/tests/test_validate_collections.py000066400000000000000000000042611517436701200234070ustar00rootroot00000000000000""" Description: Test stac-validator on --collections (/collections validation). """ from stac_validator import stac_validator def test_validate_collections_remote(): stac_file = "https://earth-search.aws.element84.com/v0/collections" stac = stac_validator.StacValidate(stac_file, collections=True) stac.validate_collections() assert stac.message == [ { "version": "1.0.0-beta.2", "path": "https://earth-search.aws.element84.com/v0/collections", "schema": [ "https://cdn.staclint.com/v1.0.0-beta.1/extension/item-assets.json", "https://schemas.stacspec.org/v1.0.0-beta.2/collection-spec/json-schema/collection.json", ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "default", }, { "version": "1.0.0-beta.2", "path": "https://earth-search.aws.element84.com/v0/collections", "schema": [ "https://cdn.staclint.com/v1.0.0-beta.1/extension/item-assets.json", "https://schemas.stacspec.org/v1.0.0-beta.2/collection-spec/json-schema/collection.json", ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "default", }, { "version": "1.0.0-beta.2", "path": "https://earth-search.aws.element84.com/v0/collections", "schema": [ "https://cdn.staclint.com/v1.0.0-beta.1/extension/item-assets.json", "https://schemas.stacspec.org/v1.0.0-beta.2/collection-spec/json-schema/collection.json", ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "default", }, { "version": "1.0.0-beta.2", "path": "https://earth-search.aws.element84.com/v0/collections", "schema": [ "https://schemas.stacspec.org/v1.0.0-beta.2/collection-spec/json-schema/collection.json" ], "valid_stac": True, "asset_type": "COLLECTION", "validation_method": "default", }, ] stac-validator-4.2.2/tests/test_validate_dict.py000066400000000000000000000061111517436701200220100ustar00rootroot00000000000000""" Description: Test the validator """ import json from stac_validator import stac_validator from stac_validator.utilities import ( DEFAULT_SCHEMA_CACHE_SIZE, fetch_and_parse_schema, set_schema_cache_size, ) def test_validate_dict_catalog_v1rc2(): stac_file = { "id": "examples", "type": "Catalog", "stac_version": "1.0.0-rc.2", "description": "This catalog is a simple demonstration of an example catalog that is used to organize a hierarchy of collections and their items.", "links": [ {"rel": "root", "href": "./catalog.json", "type": "application/json"}, { "rel": "child", "href": "./extensions-collection/collection.json", "type": "application/json", "title": "Collection Demonstrating STAC Extensions", }, { "rel": "child", "href": "./collection-only/collection.json", "type": "application/json", "title": "Collection with no items (standalone)", }, { "rel": "self", "href": "https://raw.githubusercontent.com/radiantearth/stac-spec/v1.0.0-rc.2/examples/catalog.json", "type": "application/json", }, ], } stac = stac_validator.StacValidate() stac.validate_dict(stac_file) assert stac.message == [ { "path": None, "asset_type": "CATALOG", "version": "1.0.0-rc.2", "validation_method": "default", "schema": [ "https://schemas.stacspec.org/v1.0.0-rc.2/catalog-spec/json-schema/catalog.json" ], "valid_stac": True, } ] def test_correct_validate_dict_return_method(): stac = stac_validator.StacValidate() with open("tests/test_data/1rc2/extensions-collection/collection.json", "r") as f: good_stac = json.load(f) assert stac.validate_dict(good_stac) def test_incorrect_validate_dict_return_method(): stac = stac_validator.StacValidate() with open("tests/test_data/1rc2/extensions-collection/collection.json", "r") as f: good_stac = json.load(f) bad_stac = good_stac.pop("type", None) assert stac.validate_dict(bad_stac) is False def test_validate_dict_does_not_configure_schema_cache_size(): try: set_schema_cache_size(7) fetch_and_parse_schema.cache_clear() stac = stac_validator.StacValidate() # Instantiating StacValidate should not change cache configuration. assert fetch_and_parse_schema.cache_info().maxsize == 7 with open( "tests/test_data/1rc2/extensions-collection/collection.json", "r" ) as f: good_stac = json.load(f) stac.validate_dict(good_stac) # Running validate_dict should use the configured cache size, not override it. assert fetch_and_parse_schema.cache_info().maxsize == 7 finally: set_schema_cache_size(DEFAULT_SCHEMA_CACHE_SIZE) fetch_and_parse_schema.cache_clear() stac-validator-4.2.2/tests/test_validate_item_collection.py000066400000000000000000000600321517436701200242400ustar00rootroot00000000000000""" Description: Test stac-validator on item-collection validation. """ from stac_validator import stac_validator def test_validate_item_collection_in_memory(): item_collection = { "type": "FeatureCollection", "features": [ { "stac_version": "1.0.0", "stac_extensions": [], "type": "Feature", "id": "20201211_223832_CS2_A", "bbox": [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975, ], "geometry": { "type": "Polygon", "coordinates": [ [ [172.91173669923782, 1.3438851951615003], [172.95469614953714, 1.3438851951615003], [172.95469614953714, 1.3690476620161975], [172.91173669923782, 1.3690476620161975], [172.91173669923782, 1.3438851951615003], ] ], }, "properties": { "title": "Core Item", "description": "A sample STAC Item that includes examples of all common metadata", "datetime": None, "start_datetime": "2020-12-11T22:38:32.125Z", "end_datetime": "2020-12-11T22:38:32.327Z", "created": "2020-12-12T01:48:13.725Z", "updated": "2020-12-12T01:48:13.725Z", "platform": "cool_sat1", "instruments": ["cool_sensor_v1"], "constellation": "ion", "mission": "collection 5624", "gsd": 0.512, }, "collection": "simple-collection", "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection", }, { "rel": "root", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection", }, { "rel": "parent", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection", }, { "rel": "alternate", "type": "text/html", "href": "http://remotedata.io/catalog/20201211_223832_CS2/index.html", "title": "HTML version of this STAC Item", }, ], "assets": { "analytic": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "4-Band Analytic", "roles": ["data"], }, "thumbnail": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.jpg", "title": "Thumbnail", "type": "image/png", "roles": ["thumbnail"], }, "visual": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "3-Band Visual", "roles": ["visual"], }, "udm": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic_udm.tif", "title": "Unusable Data Mask", "type": "image/tiff; application=geotiff;", }, "json-metadata": { "href": "http://remotedata.io/catalog/20201211_223832_CS2/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": ["metadata"], }, "ephemeris": { "href": "http://cool-sat.com/catalog/20201211_223832_CS2/20201211_223832_CS2.EPH", "title": "Satellite Ephemeris Metadata", }, }, }, { "stac_version": "1.0.0", "stac_extensions": [], "type": "Feature", "id": "20201211_223832_CS2_B", "bbox": [ 172.91173669923782, 1.3438851951615003, 172.95469614953714, 1.3690476620161975, ], "geometry": { "type": "Polygon", "coordinates": [ [ [172.91173669923782, 1.3438851951615003], [172.95469614953714, 1.3438851951615003], [172.95469614953714, 1.3690476620161975], [172.91173669923782, 1.3690476620161975], [172.91173669923782, 1.3438851951615003], ] ], }, "properties": { "title": "Core Item", "description": "A sample STAC Item that includes examples of all common metadata", "datetime": None, "start_datetime": "2020-12-11T22:38:32.125Z", "end_datetime": "2020-12-11T22:38:32.327Z", "created": "2020-12-12T01:48:13.725Z", "updated": "2020-12-12T01:48:13.725Z", "platform": "cool_sat1", "instruments": ["cool_sensor_v1"], "constellation": "ion", "mission": "collection 5624", "gsd": 0.512, }, "collection": "simple-collection", "links": [ { "rel": "collection", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection", }, { "rel": "root", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection", }, { "rel": "parent", "href": "./collection.json", "type": "application/json", "title": "Simple Example Collection", }, { "rel": "alternate", "type": "text/html", "href": "http://remotedata.io/catalog/20201211_223832_CS2/index.html", "title": "HTML version of this STAC Item", }, ], "assets": { "analytic": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "4-Band Analytic", "roles": ["data"], }, "thumbnail": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.jpg", "title": "Thumbnail", "type": "image/png", "roles": ["thumbnail"], }, "visual": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2.tif", "type": "image/tiff; application=geotiff; profile=cloud-optimized", "title": "3-Band Visual", "roles": ["visual"], }, "udm": { "href": "https://storage.googleapis.com/open-cogs/stac-examples/20201211_223832_CS2_analytic_udm.tif", "title": "Unusable Data Mask", "type": "image/tiff; application=geotiff;", }, "json-metadata": { "href": "http://remotedata.io/catalog/20201211_223832_CS2/extended-metadata.json", "title": "Extended Metadata", "type": "application/json", "roles": ["metadata"], }, "ephemeris": { "href": "http://cool-sat.com/catalog/20201211_223832_CS2/20201211_223832_CS2.EPH", "title": "Satellite Ephemeris Metadata", }, }, }, ], "links": [ { "rel": "next", "href": "https://stac-api.example.com/search?page=3", "type": "application/geo+json", }, { "rel": "prev", "href": "https://stac-api.example.com/search?page=1", "type": "application/geo+json", }, ], } stac = stac_validator.StacValidate() stac.validate_item_collection_dict(item_collection) assert stac.message == [ { "version": "1.0.0", "path": None, "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": None, "schema": [ "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json" ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, ] def test_validate_item_collection_remote(): stac_file = ( "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a/items" ) stac = stac_validator.StacValidate(stac_file, item_collection=True) stac.validate_item_collection() # Verify we have exactly 10 items assert len(stac.message) == 10, f"Expected 10 items, got {len(stac.message)}" # Define the base URL for path assertions base_url = ( "https://earth-search.aws.element84.com/v0/collections/sentinel-s2-l2a/items" ) # Define the expected schema for all items expected_schema = [ "https://cdn.staclint.com/v1.0.0-beta.1/extension/eo.json", "https://cdn.staclint.com/v1.0.0-beta.1/extension/view.json", "https://cdn.staclint.com/v1.0.0-beta.1/extension/projection.json", "https://schemas.stacspec.org/v1.0.0-beta.2/item-spec/json-schema/item.json", ] # Track which item IDs we've seen seen_ids = set() # Check each message individually for i, msg in enumerate(stac.message): # Check basic structure assert isinstance(msg, dict), f"Message {i} is not a dictionary" assert "path" in msg, f"Message {i} is missing 'path'" assert "version" in msg, f"Message {i} is missing 'version'" assert "schema" in msg, f"Message {i} is missing 'schema'" assert "valid_stac" in msg, f"Message {i} is missing 'valid_stac'" assert "asset_type" in msg, f"Message {i} is missing 'asset_type'" assert "validation_method" in msg, f"Message {i} is missing 'validation_method'" # Check version assert ( msg["version"] == "1.0.0-beta.2" ), f"Message {i} has unexpected version: {msg['version']}" # Check path format assert msg["path"].startswith( base_url + "/" ), f"Message {i} path does not start with base URL: {msg['path']}" # Extract and store the item ID start_pos = len(base_url) + 1 item_id = msg["path"][start_pos:] assert item_id not in seen_ids, f"Duplicate item ID found: {item_id}" seen_ids.add(item_id) # Check schema assert ( msg["schema"] == expected_schema ), f"Message {i} has unexpected schema: {msg['schema']}" # Check boolean flags assert msg["valid_stac"] is True, f"Message {i} has valid_stac=False" # Check enums assert ( msg["asset_type"] == "ITEM" ), f"Message {i} has unexpected asset_type: {msg['asset_type']}" assert ( msg["validation_method"] == "default" ), f"Message {i} has unexpected validation_method: {msg['validation_method']}" # Verify we saw all expected item IDs (optional, can be adjusted based on known IDs) # This is just an example - you might want to make this more specific assert len(seen_ids) == 10, f"Expected 10 unique item IDs, got {len(seen_ids)}" def test_validate_item_collection_remote_pages(): stac_file = "https://stac.geobon.org/collections/chelsa-clim/items" stac = stac_validator.StacValidate(stac_file, item_collection=True, pages=2) stac.validate_item_collection() assert stac.message == [ { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio9", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio8", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio7", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio6", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio5", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio4", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio3", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio2", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio19", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio18", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio17", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio16", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio15", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio14", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio13", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio12", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio11", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio10", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, { "version": "1.0.0", "path": "https://stac.geobon.org/collections/chelsa-clim/items/bio1", "schema": [ "https://stac-extensions.github.io/projection/v1.0.0/schema.json", "https://schemas.stacspec.org/v1.0.0/item-spec/json-schema/item.json", ], "valid_stac": True, "asset_type": "ITEM", "validation_method": "default", }, ] def test_validate_item_collection_remote_pages_1_v110(): stac_file = "https://stac.dataspace.copernicus.eu/v1/collections/sentinel-3-olci-2-wfr-nrt/items" stac = stac_validator.StacValidate(stac_file, item_collection=True, pages=1) stac.validate_item_collection() # Check that we got some messages back assert len(stac.message) > 0 # Check each message has the required fields required_fields = { "version", "path", "schema", "valid_stac", "asset_type", "validation_method", } for msg in stac.message: # Check all required fields are present assert all( field in msg for field in required_fields ), f"Missing required field in message: {msg}" # Check the message is for an ITEM assert msg["asset_type"] == "ITEM" # Check the validation method is correct assert msg["validation_method"] == "default" # Check the schema contains expected schemas (checking for a subset to be more resilient) expected_schemas = { "https://stac-extensions.github.io/eo/v2.0.0/schema.json", "https://stac-extensions.github.io/file/v2.1.0/schema.json", "https://schemas.stacspec.org/v1.1.0/item-spec/json-schema/item.json", } assert all( schema in msg["schema"] for schema in expected_schemas ), f"Missing expected schemas in {msg['schema']}" assert len(stac.message) == 10 def test_validate_item_collection_remote_pages_3_v110(): stac_file = "https://stac.dataspace.copernicus.eu/v1/collections/sentinel-3-olci-2-wfr-nrt/items" stac = stac_validator.StacValidate(stac_file, item_collection=True, pages=3) stac.validate_item_collection() assert len(stac.message) == 30 stac-validator-4.2.2/tox.ini000066400000000000000000000002051517436701200157520ustar00rootroot00000000000000[tox] envlist = py38,py39,py310,py311,py312,py313 [testenv] deps = pytest requests-mock commands = pytest extras = pydanticstac-validator-4.2.2/tox/000077500000000000000000000000001517436701200152545ustar00rootroot00000000000000stac-validator-4.2.2/tox/Dockerfile-tox000066400000000000000000000002711517436701200200560ustar00rootroot00000000000000FROM fkrull/multi-python:bionic WORKDIR /code COPY . /code/ RUN export LC_ALL=C.UTF-8 && \ export LANG=C.UTF-8 && \ pip3 install . && \ pip3 install tox==4.23.2 && \ tox

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