EOSets

This library aims to simplify any process working with sets of EO data handled by EOReader.

🛰️ Content

EOSets implements the following objects:

eosets_objects

[!NOTE] Multi-pairs are not implemented for now. We are waiting for true usecases.
For now please use a list of pairs to process your data. If needed, create an issue to discuss about it.

🔮 Features

Propagated from EOReader

Implemented features are similar to those implemented in EOReader:

  • load
  • stack
  • extent
  • footprint
  • ...

What you can do with EOReader is also possible with EOSets (with Mosaics, Pairs and Series).
Here is the documentation of EOReader and the list of available examples.

Default pixel size

In case of heterogeneous Set, it is not straightforward to determine its default pixel size. A keyword default_pixel_size has been created, set to coarsest by default which means that the default pixel size of a heterogeneous set is the coarsest pixel size.

This keyword can be set to either None, coarsest, most_resolute or any floating point number as a custom default resolution.

For example, in the case of a Series of Sentinel-2 and Landsat-8 data:

  • Nothing specified: the default pixel size is 30 meters
  • default_pixel_size="coarsest": the default pixel size is 30 meters
  • default_pixel_size="most_resolute": the default pixel size is 10 meters
  • default_pixel_size="20": the default pixel size is 20 meters

🔗 Examples

Available notebooks provided as examples:

📝 License

EOSets is licensed under Apache License v2.0. See LICENSE file for details.

🖋️ Authors

EOSets has been created by ICube-SERTIT.

Project links

Data verified by PyPI on Jul 3, 2026
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Key dates

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  • Released:
Newer release available (0.5.5)

2 maintainers

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Credits

Author: ICube-SERTIT

GitHub Statistics

Data verified by PyPI on Jul 3, 2026
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License

Apache Software License (Apache 2.0)

Requires

Python >=3.10

Classifiers

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