In preparation for active microwave-based data assimilation into a crop modeling system, the mapping of daily 1-km AquaCrop model (v6.1) biomass and surface soil moisture to backscatter was optimised, using two forward operators, i.e. Water Cloud Model (WCM) Support Vector Regression (SVR). Both operators were calibrated (2014–2018) with Sentinel-1 (γ°) observations in VV VH polarisation, three...

The constellation of two Sentinel-1 satellites provides an unprecedented coverage Synthetic Aperture Radar (SAR) data at high spatial (20 m) and temporal (2 to 6 days over Europe) resolution. availability dense time series enables the analysis SAR signatures exploitation these for classification purposes. Frequent backscatter observations allow derivation temporally filtered that reinforce effe...

Rain Signatures on C-band Synthetic Aperture Radar (SAR) images acquired over ocean are common and can dominate the backscattered signal from surface. In many cases, inability to decipher between rain signatures disturb analysis of SAR scenes for maritime applications. This study relies Sentinel-1 acquisitions in Interferometric Wide swath mode high-resolution measurements ground-based weather ...

This work introduces Sentinel-1 based Inland water dynamics Mapping System (SIMS), an open-source web application developed to enable automated mapping of inland using radar imagery. SIMS relies on a novel framework built Python and Google Earth Engine. The underlying algorithm involves simple binary thresholding technique outlier removal method tailored perform efficiently across complicated f...