2020 IEEE GRSS Data Fusion Contest

The 2020 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) and the Technical University of Munich, aims to promote research in large-scale land cover mapping based on weakly supervised learning from globally available multimodal satellite data. The task is to train a machine learning model for global land cover mapping based on weakly annotated samples. For this task, the SEN12MS dataset will be used, which contains corresponding triplets of Sentinel-1 SAR images, Sentinel-2 multi-spectral images, and MODIS-derived land cover maps.