Read here about Microsoft's open source machine learning library, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.
Archive: Remote-sensing
- Spyndex is a Python package that uses the spectral indices from the Awesome Spectral Indices list and allows computing indices with any Python object supporting overloaded operators.
- 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.
- Spectral indices are widely used in the Remote Sensing community. This repository includes a curated list of both classical and novel spectral indices for different remote sensing applications.
- The eemont package extends the Google Earth Engine Python API with pre-processing and processing tools for the most used satellite platforms by adding utility methods for Earth Engine Objects.
- Check here for a long list of references, algorithms, applications, and other resources on remote sensing data fusions.
- Check out this large collection of tutorials on Google Earth Engine, WhiteboxTools, and more. The blog is created by Dr. Qiusheng Wu, author and contributor of many open source geospatial projects.
- Here is a long list of available benchmark datasets which are acquired using airborne/spaceborne imaging/radar sensors.
- LEVIR-Ship is the first public tiny ship detection dataset specific to medium-resolution remote sensing images. Check it out here.
- 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.
