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CORINE Land Cover
CLMScopernicus servicescorinederived dataland covermachine learningopen datarastersentinel hubsystematicxcube
The CORINE Land Cover (CLC) inventory consists of 44 land cover and land use classes derived from a series of satellite missions since it was first established.
Crop Classification CNN
PyTorch
An example convolutional neural network trained on 7 Sentinel-2 images throughout the Dutch growing season, using bands R, G, B, and NIR of each image, land ground truth data taken from the Dutch agricultural land registration. All data used was from 2018, and the model has been trained to infer 76 different crop types.
Landsat 8-9 L2
landsatLULC changeLULC mappingnatural resourceopen datarastersatellite imagerysentinel hubsurface temperaturesystematicvegetation monitoringxcube
Landsat 8-9 Level 2 collection includes both Landsat 8 and the most recently launched Landsat 9 satellites (provided by NASA/USGS), both carrying the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS) instruments, with 9 optical and 2 thermal bands. These two sensors provide seasonal coverage of the global landmass. Landsat 8-9 Level 2 data from the most recently released collection 2, provides atmospherically corrected Surface Reflectance and Surface Brightness Temperature products generated from Collection 2 Level-1 scenes that have been processed to Tier 1 or Tier 2. C...