No title
Soil moisture (SM) is an essential climate variable that controls fundamental hydrological and climatic processes. Soil moisture products derived from microwave remote sensing often provide measurements at low spatial resolution and incomplete temporal records. This thesis presents a novel method for estimation soil moisture at both high spatial and temporal resolution by using a deep learning rec
