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Automatic mapping of national surface water with OpenStreetMap and Sentinel-2 MSI data using deep learning

Large-scale mapping activities can benefit from the vastly increasing availability of earth observation (EO) data, especially when combined with volunteered geographical information (VGI) using machine learning (ML). High-resolution maps of inland surface water bodies are important for water supply and … Read More