Enhancing the Spatial Applicability of SMAP Soil Moisture Using Multi-Stage Machine Learning Downscaling
The Soil Moisture Active Passive (SMAP) mission provides global soil moisture (SM) observations with high temporal frequency and broad spatial coverage, valuable for hydrological and agricultural applications. However, its coarse spatial resolution can limit direct use in heterogeneous agricultural landscapes where soi...