The satellite based passive (radiometer) and active (radar) microwave sensors enhanced
our ability to retrieve soil moisture at global scales. It has been almost four decades since …

Radar data have been used to retrieve and monitor the surface soil moisture (SM) changes
in various conditions. However, the calibration of radar models whether empirically or …

The recent deployment of ESA's Sentinel operational satellites has established a new
paradigm for remote sensing applications. In this context, Sentinel-1 radar images have …

The main objective of this study is to analyze the potential use of Sentinel-1 (S1) radar data
for the estimation of soil characteristics (roughness and water content) and cereal vegetation …

Radar data at C-band has shown great potential for the monitoring of soil and canopy hydric
conditions of wheat crops. In this study, the C-band Sentinel-1 time series including the …

Crop yield estimation at a regional scale over a long period of time is of great significance to
food security. In past decades, the integration of remote sensing observations and crop …

In this article, seven filter algorithms were compared. The Lee sigma method was more
suitable for estimating soil moisture (SM) than the other filtering methods under different land …

Estimating soil moisture based on synthetic aperture radar (SAR) data remains challenging
due to the influences of vegetation and surface roughness. Here we present an algorithm …

The main objective of this work was to retrieve surface soil moisture (SSM) by using
scattering models and a support vector machine (SVM) technique driven by backscattering …

Remote sensing presents great potential for soil moisture map**, although a lack of high-
resolution, all-season suitable data and model-based complications hinders continuous …