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Pytroll

Pytroll is an easy-to-use, modular, free, and open-source Python framework designed for the processing of Earth Observation (EO) satellite data. Its packages are suitable for both research and development (R&D) environments and 24/7 operational production. The framework focuses on atmospheric applications and imaging sensors, supporting a wide range of Earth sciences.

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Pytroll is a free and open-source Python framework that simplifies the processing of Earth Observation (EO) satellite data. This robust and modular system is designed to be highly versatile, supporting both in-depth R&D activities and continuous operational production environments. While its primary focus is on atmospheric applications and imaging sensors, the framework can handle data from a diverse array of satellites, making it applicable across various Earth science disciplines.

The project offers several high-level packages, including Satpy, Pyresample, Pyspectral, and Pyorbital, each contributing to different aspects of data handling and analysis. Users can explore a comprehensive list of Pytroll packages and their interdependencies, maturity, and operational usage on GitHub and through a dedicated overview description. Additionally, a non-exhaustive list of supported satellites and data formats is available via the Satpy documentation.

For those looking to get started or explore its capabilities, Pytroll provides a gallery of examples and Jupyter Notebook tutorials. The community is active, offering support through a dedicated Slack channel and a Google Groups mailing list. Pytroll also hosts user days, such as the upcoming event in Darmstadt, Germany, fostering collaboration and knowledge sharing among its users.

Disclaimer: We do not guarantee the accuracy of this information. Our documentation of this website on Geospatial Catalog does not represent any association between Geospatial Catalog and this listing. This summary may contain errors or inaccuracies.

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