Remote sensing is an important tool for estimating key hydrology parameters that control the water and energy cycle (such as soil moisture, snow water equivalent, vegetation water content, surface temperature, and evapotranspiration). Over the last few decades,  observations from space by active sensors (e.g. PALSAR, Radarsat, Sentinel, ASCAT, and NISAR) and passive sensors (e.g. SSM/I, AMSR, GMI, SMOS, and SMAP) have enabled significant advances in many hydrology applications through measurement, forecast, modeling, and assimilation.  Enhanced observation capability from future missions is expected to expand this trend and result in the further utility of microwave remote sensing observations in current and new applications in terrestrial hydrology.

This session seeks papers that contribute to 1) improving our understanding of modeling microwave signals and their responses to changes in terrestrial hydrology parameters; 2) techniques for the retrieval of these parameters using active and/or passive microwave observations; 3) field experiments for validation of microwave models, inversion algorithms, and satellite data products; 4) Water and energy cycle modeling.