https://github.com/dymaxionlabs/eo-learn-stac
eo-learn tasks for consuming SpatioTemporal Asset Catalogs (STAC)
https://github.com/dymaxionlabs/eo-learn-stac
eo-learn stac
Last synced: 3 months ago
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eo-learn tasks for consuming SpatioTemporal Asset Catalogs (STAC)
- Host: GitHub
- URL: https://github.com/dymaxionlabs/eo-learn-stac
- Owner: dymaxionlabs
- License: mit
- Created: 2021-09-10T01:28:14.000Z (almost 5 years ago)
- Default Branch: main
- Last Pushed: 2021-09-21T18:23:24.000Z (almost 5 years ago)
- Last Synced: 2025-02-18T08:16:02.594Z (over 1 year ago)
- Topics: eo-learn, stac
- Language: Python
- Homepage:
- Size: 164 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE.txt
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README
# eo-learn-stac
[eo-learn](https://eo-learn.readthedocs.io/en/latest/) tasks for consuming
[SpatioTemporal Asset Catalogs](https://stacspec.org/) (STAC).
It provides a `STACInputTask` task class that, similarly to `SentinelHubInputTask`,
queries a STAC catalog, fetches images from a time interval and bounding box,
and finally creates time-dependant EOPatches.
*Work in progress*
## Contributing
Bug reports and pull requests are welcome on GitHub at the [issues
page](https://github.com/dymaxionlabs/eolearn-stac). This project is intended
to be a safe, welcoming space for collaboration, and contributors are expected
to adhere to the [Contributor Covenant](http://contributor-covenant.org) code
of conduct.
## License
This project is licensed under MIT. Refer to [LICENSE.txt](LICENSE.txt).