pyraws 0.0.3

Python for RAW Sentinel2 data (PyRawS) is a powerful open-source Python package that provides a comprehensive set of tools for working with Sentinel-2 Raw data. It provides utilities for coarse spatial bands coregistration, geo-referencing, data visualization, and image processing.

PyRawS

About the project

Python for RAW Sentinel2 data (PyRawS) is a powerful open-source Python package that provides a comprehensive set of tools for working with Sentinel-2 Raw data. ¹ It provides utilities for coarse spatial bands coregistration, geo-referencing, data visualization, and image processing. The software is demonstrated on the first Sentinel-2 Raw database for warm temperature hotspots detection/classification, making it an ideal tool for a wide range of applications in remote sensing and earth observation. The package is written in Python and is open source, making it easy to use and modify for your specific needs. The systme is based on pytorch, which be installed with CUDA 11 support, to enable GPU acceleation.

NB: What we call raw data in this project are Sentinel-2 data generated by the decompression and metadata addition of Sentinel-2 L0 data. Because of that, with the exception of the effects due to onboard equalization and lossy compression, they are the most similar version of the rawest form of data acquired by the satellite's sensors. Both the compression and equalization are applied onboard the satellite to reduce the amount of data transmitted to the ground station. For easy naming convention, this repo refer to the term "Raw" as the products decompressed with ancillary information appended. For further information browse our paper at https://arxiv.org/abs/2305.11891 ↩

(Disclaimer: This project is currently under development.)

Contributing

The PyRawS project is open to contributions. To discuss new ideas and applications, please, reach us via email (please, refer to Contacts). To report a bug or request a new feature, please, open an issue to report a bug or to request a new feature.

If you want to contribute, please proceed as follow:

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/NewFeature)
3. Commit your Changes (git commit -m 'Create NewFeature')
4. Push to the Branch (git push origin feature/NewFeature)
5. Open a Pull Request

License

Distributed under the Apache License.

Contacts

Created by the European Space Agency $\Phi$-lab.

• Gabriele Meoni - [e-mail] (previously, wit ESA $\Phi$-lab)
• Roberto Del Prete - roberto.delprete at ext.esa.int and unina.it
• Nicolas Longepe - nicolas.longepe at esa.int
• Federico Serva - federico.serva at ext.esa.int

References

[1]: Massimetti, Francesco, et al. ""Volcanic hot-spot detection using SENTINEL-2: a comparison with MODISΓÇôMIROVA thermal data series."" Remote Sensing 12.5 (2020): 820."