EOReader is a remote sensing open-source Python library reading optical and SAR constellations, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Earth-observation
- Dynamic World provides global, near real-time land cover data at a 10 meter resolution, giving an unprecedented level of detail about what's on the land and how it's being used.
- This self-paced course contains a mixture of lectures and hands-on exercises for novice data science or remote sensing practitioners.
- Keep in touch with the latest in the ML4EO field and explore the latest tutorials and webinars designed to help you work efficiently with geospatial data and cloud-native practices.
- Here is a long list of available benchmark datasets which are acquired using airborne/spaceborne imaging/radar sensors.
- How is tree loss affecting forests near you? Check out by drawing an area on the map and running the script here. A chart with annual affected areas will be displayed.
- This workflow generates automatic contours for agricultural parcels, given Sentinel-2 images. It uses Sentinel Hub to download the imagery and a ResUnet-a architecture.
- Here is a huge catalog of community-sourced free geospatial datasets made available for use by the larger Google Earth Engine community and shared publicly as Earth Engine assets.
- The Canadian Space Agency, in collaboration with its partners, has made over 674 000 historical RADARSAT-1 synthetic aperture radar (SAR) images of Earth freely available.
