Global soil moisture retrieval from a synthetic L-band brightness temperature data set

Abstract— A new approach based on the change detection technique is proposed for the estimation of surface soil moisture (SSM) from a time series of radar measurements..

The key motivation of the MEB development was to move away from the composite scheme in order to address cer- tain known issues (such as excessive bare-soil evaporation in

In terms of temporal dynamics, the main differences in la- tent heat flux between ISBA and MEBL occur during spring for the deciduous forest site where the litter layer acts

The SMOS LPRM soil moisture retrievals, using the optimized parameters, were then evaluated against the latest SMOS Level 3 (L3) soil moisture product and a set of in situ networks

The objective of this paper is to present the multi-orbit (MO) surface soil moisture (SM) and angle- binned brightness temperature (TB) products for the SMOS (Soil Moisture and

Thus, we propose a simple statistical regression of surface soil moisture based on AMSR-E brightness temperatures over Sahelian area, where soil moisture strongly influences

It uses a soil resistance driven by surface (0 − 5 cm) soil moisture, meteorological forcing and time (hour) of day, and has the capability to be calibrated using the

In this context the objectives of this study are: (1) to study the influence of roughness at different angles and polarizations (2) to model rough bare soil emission using very