Metadata-Version: 2.1
Name: eo-learn-stac
Version: 0.1.1
Summary: eo-learn tasks for consuming SpatioTemporal Asset Catalogs (STAC)
Home-page: https://github.com/dymaxionlabs/eo-learn-stac/
Author: Damián Silvani
Author-email: munshkr@gmail.com
License: MIT
Project-URL: Documentation, https://eo-learn-stac.readthedocs.io/en/latest/
Project-URL: Source, https://github.com/dymaxionlabs/eo-learn-stac/
Project-URL: Changelog, https://eo-learn-stac.readthedocs.io/en/latest/changelog.html
Project-URL: Tracker, https://github.com/dymaxionlabs/eo-learn-stac/issues
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python
Description-Content-Type: text/markdown; charset=UTF-8; variant=GFM
Provides-Extra: testing
License-File: LICENSE.txt
License-File: AUTHORS.md

# 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*

<!-- pyscaffold-notes -->

## 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).


