Machine learning-based global soil moisture estimation using GNSS-R

Retrieval of soil moisture (SM) content is essential for many agricultural and hydrological studies and applications. Remotely sensed SM estimations in high spatial and temporal resolution are a vital requirement in many global studies. Global Navigation Satellite System (GNSS) Reflectometry (GNSS-R), one of the signals of opportunity (SoOp) techniques, has emerged in recent years as a new remote ...