sentinelsat/sentinelsat
Search and download Copernicus Sentinel satellite images
Repository profile
Sentinel-2 for Agriculture (Sen2Agri) is a software system processing high resolution satellite images for agricultural purposes funded by ESA (European Space Agency). Please register on the Sen2Agri webpage for Sen2Agri system updates and information.
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Latest capture 2026-07-18 03:03
3 captures since 2026-06-17
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Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-18 03:03
Optional/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
sen2agri-processors/CMakeLists.txt
c-cpp ecosystem,
1 dependency
sen2agri-processors/AgriculturalPractices/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
sen2agri-processors/Common/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
sen2agri-processors/Composite/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
sen2agri-processors/ContinuousColorMapping/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
sen2agri-processors/CreateFootprint/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
sen2agri-processors/CropMask/CMakeLists.txt
c-cpp ecosystem,
0 dependencies
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Search and download Copernicus Sentinel satellite images
SENAITE Meta Package
Water Detect Algorithm
Earth observation processing framework for machine learning in Python
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.