Mission

The core mission of GeoUtils is to be easy-of-use, robust, reproducible and fully open.

Additionally, GeoUtils aims to be efficient, scalable and state-of-the-art.

In details, those mean:

• Ease-of-use: all basic operations or methods only require a few lines of code to be performed;

• Robustness: all methods are tested within our continuous integration test-suite, to enforce that they always perform as expected;

• Reproducibility: all code is version-controlled and release-based, to ensure consistency of dependent packages and works;

• Open-source: all code is accessible and reusable to anyone in the community, for transparency and open governance.

Note

Additional mission points, in particular scalability, are partly developed with aim of being finalized when our long-term v1.0 is reached.

And, additionally:

• Efficiency: all methods should be optimized at the lower-level, to function with the highest performance offered by Python packages;

• Scalability: all methods should support both lazy processing and distributed parallelized processing, to work with high-resolution data on local machines as well as on HPCs;

• State-of-the-art: all methods should be at the cutting edge of remote sensing science, to provide users with the most reliable and up-to-date tools.