@Article{G.2011,
author="G., Wang S.
and X., Li
and J., Han X.
and R., Jin",
title="Estimation of surface soil moisture and roughness from multi-angular ASAR imagery in the Watershed Allied Telemetry Experimental Research (WATER)",
journal="Hydrology and Earth System Sciences",
year="2011",
volume="15",
number="139",
abstract="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 $\sigma$ 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 = $\sigma$<sup>2</sup>/cl) and the difference inbackscattering coefficient ($\Delta$$\sigma$) from two ASAR images acquiredwith differen...",
issn="1607-7938"
}