OSMLanduse data is a scientific dataset generated within the scope of the Horizon 2020 - LandSense project. It is a classification of Sentinel-2 imagery using a deep learning model trained on OSM landuse and landcover features. The data might contain errorneous classifications. The classification values in the raster dataset correspond to a subset of the well-known CORINE LandCover Classification. Use it with caution and at your own risk.

Version 2: The files are now available as Cloud Optimized GeoTIFFs which require less memory space.