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This paper examines the potential of Radarsat-2 C-band synthetic aperture radar (SAR) data for quantifying the spatial variability of soil moisture during the agriculture growth period. To remove the effect of crop within total backscattering, a method that adequately represents the scattering behavior of vegetation-covered area by defining the scattering of the vegetation and underlying soil was...
In this letter, we attempt to improve existing model-based decomposition methods to estimate the soil moisture for C-band RADARSAT-2 data. An adaptive two-component decomposition (ATCD) is developed that considers the surface and volume scattering caused by the soil and crop canopy, respectively. The surface scattering adopted is an X-Bragg scattering, with the orientation angle induced by the azimuthal...
Many research studies have investigated the retrieval of surface parameters for bare soils. This study attempts to take into account agricultural fields with crop residues and low vegetation cover. An adaptive two-component decomposition (ATCD) method is developed in this paper to invert surface parameters in these fields. The study area is located in Southwestern Ontario, Canada where two wheat fields...
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