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  • SEN12MS
    The SEN12MS dataset contains 180,662 patch triplets of corresponding Sentinel-1 dual-pol SAR data, Sentinel-2 multi-spectral images, and MODIS-derived land cover maps. The patches are distributed across the land masses of the Earth and spread over all four meteorological seasons. This is reflected by the dataset structure. All patches are provided in the form of 16-bit GeoTiffs containing the following specific information:
    Sentinel-1 SAR: 2 channels corresponding to sigma nought backscatter values in dB scale for VV and VH polarization.
    Sentinel-2 Multi-Spectral: 13 channels corresponding to the 13 spectral bands (B1, B2, B3, B4, B5, B6, B7, B8, B8a, B9, B10, B11, B12).
    MODIS Land Cover: 4 channels corresponding to IGBP, LCCS Land Cover, LCCS Land Use, and LCCS Surface Hydrology layers.
  • Open Library for Earth Observations Machine Learning
    Radiant MLHub is the world’s first cloud-based open library dedicated to Earth observation training data and models for use with machine learning algorithms.
  • awesome-satellite-imagery-datasets
  • satellite-image-deep-learning
  • Open Library for Earth Observations Machine Learning
  • satellite-image-deep-learning