Using multi-polarization C- and L-band synthetic aperture radar to estimate biomass and soil moisture of wheat fields

摘要: Abstract Biomass and soil moisture are two important parameters for agricultural crop monitoring yield estimation. In this study, the Water Cloud Model (WCM) was coupled with Ulaby model to estimate both biomass spring wheat fields in a test site western Canada. This study exploited C-band (RADARSAT-2) L-band (UAVSAR) Synthetic Aperture Radars (SARs) purpose. The WCM-Ulaby calibrated three polarizations (HH, VV HV). Subsequently of these were used as inputs an inversion procedure, retrieve either or without need any ancillary data. total canopy biomass, only heads, well different growth stages. resulted each sensor-polarization-phenology-biomass combination. Validation retrievals led promising results. RADARSAT-2 (HH-HV) estimated root mean square (RMSE) average (MAE) errors 78.834 g/m 2 58.438 g/m ; 0.078 m 3 /m 0.065 m reported. During period ripening, estimates had accuracies 0.064 m 0.057 m (MAE). (VV-HV) produced interesting results retrieval heads. particular case, heads 38.757 g/m (RSME) 33.152 g/m For wider implementation will require additional data strengthen accuracy confirm estimation performance. Nevertheless encourages further research given importance global commodity, challenge cloud cover optical potential direct weight where production lies.