Multi-Sensor Land-Cover Classification (MSLCC)

The MSLCC dataset has been created for multi-sensor land-cover classification, and has been used and published in [1]. It includes multispectral and SAR images acquired by Sentinel-1B and Sentinel-2A for two cities in Germany (Munich and Berlin) and their surrounding areas. The images have been annotated for four main land-cover categories in the regions, namely “Agriculture field”, “Forest”, “Built-up”, and “Water body”.  Please cite [1] If you use our dataset in your work.