Agricultural Land Cover from Short Revisit Sar Data – Sentinel-1 Operation Simulated by Aircraft and Satellite Sar Data

Remote sensing has the potential to provide estimates of important inputs for the land process models, for instance the land cover type, the soil moisture and the LAI. Such models can provide information that is crucial for a number of applications such as flood and drought prediction, crop irrigation scheduling, and meteorology. Also, land cover maps provide fundamental information to many aspects of land use planning and policy development, as a prerequisite for monitoring and modelling land use and environmental change, and as a basis for land use statistics at all levels.