%0 Journal Article
%A Wang S. G.
%A Li X.
%A Han X. J.
%A Jin R.
%+ Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, China;;Graduate University of Chinese Academy of Sciences, Beijing, 100039, China
%T Estimation of surface soil moisture and roughness from multi-angular ASAR imagery in the Watershed Allied Telemetry Experimental Research (WATER)
%J Hydrology and Earth System Sciences
%D 2011
%N 139
%V 15
%X Radar remote sensing has demonstrated its applicability to the retrieval ofbasin-scale soil moisture. The mechanism of radar backscattering from soilsis complicated and strongly influenced by surface roughness. Additionally,retrieval of soil moisture using AIEM (advanced integrated equationmodel)-like models is a classic example of underdetermined problem due to alack of credible known soil roughness distributions at a regional scale.Characterization of this roughness is therefore crucial for an accuratederivation of soil moisture based on backscattering models. This study aimsto simultaneously obtain surface roughness parameters (standard deviation ofsurface height σ and correlation length cl) along with soil moisturefrom multi-angular ASAR images by using a two-step retrieval scheme based onthe AIEM. The method firstly used a semi-empirical relationship that relatesthe roughness slope, Zs ( Zs = σ<sup>2</sup>/cl) and the difference inbackscattering coefficient (Δσ) from two ASAR images acquiredwith differen...
%@ 1607-7938
%W CNKI