Derivation of surface soil moisture using multi-angle ASAR data in the middle stream of Heihe river basin

Radar remote sensing has shown its potential for retrieving soil moisture from soil surfaces. Since the backscattering process is also influenced by soil roughness, the characterization of this roughness is crucial for an accurate estimation. The algorithm proposed in this investigation aiming to obtain the roughness parameters for every SAR pixel which could facilitate the derivation of soil moisture in virtue of multi-angle ASAR images, and combined with a semi-empirical calibration for the correlation length. An application of the means was performed in the middle reaches of the Heihe river basin and achieved satisfactory results (RMSE less than 6 vol %).

[1]  刘强,et al.  黑河流域遥感—地面观测同步试验：科学目标与试验方案 , 2008 .

[2]  Kamal Sarabandi,et al.  An empirical model and an inversion technique for radar scattering from bare soil surfaces , 1992, IEEE Trans. Geosci. Remote. Sens..

[3]  Ralf Ludwig,et al.  Derivation of surface soil moisture from ENVISAT ASAR wide swath and image mode data in agricultural areas , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[4]  M. Sahebi,et al.  Semi-empirical calibration of the IEM backscattering model using radar images and moisture and roughness field measurements , 2004 .

[5]  J. Wigneron,et al.  An empirical calibration of the integral equation model based on SAR data, soil moisture and surface roughness measurement over bare soils , 2002 .

[6]  Thomas J. Jackson,et al.  Mapping surface roughness and soil moisture using multi-angle radar imagery without ancillary data , 2008 .

[7]  F. Ulaby,et al.  Vegetation modeled as a water cloud , 1978 .

[8]  M. S. Moran,et al.  A derivation of roughness correlation length for parameterizing radar backscatter models , 2007 .

[9]  Qin Li,et al.  Emission of rough surfaces calculated by the integral equation method with comparison to three-dimensional moment method simulations , 2003, IEEE Trans. Geosci. Remote. Sens..

[10]  Mehrez Zribi,et al.  Evaluation of a rough soil surface description with ASAR-ENVISAT radar data , 2005 .

[11]  Mehrez Zribi,et al.  New methodology for soil surface moisture estimation and its application to ENVISAT-ASAR multi-incidence data inversion , 2005 .

[12]  Adrian K. Fung,et al.  Backscattering from a randomly rough dielectric surface , 1992, IEEE Trans. Geosci. Remote. Sens..

[13]  Jiancheng Shi,et al.  Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data , 1997, IEEE Trans. Geosci. Remote. Sens..

[14]  Pascale C. Dubois,et al.  Measuring soil moisture with imaging radars , 1995, IEEE Trans. Geosci. Remote. Sens..

[15]  C. Ottlé,et al.  Surface soil moisture estimation from the synergistic use of the (multi-incidence and multi-resolution) active microwave ERS Wind Scatterometer and SAR data , 2003 .

[16]  Mehrez Zribi,et al.  Calibration of the Integral Equation Model for SAR data in C‐band and HH and VV polarizations , 2006 .

[17]  Rajat Bindlish,et al.  Parameterization of vegetation backscatter in radar-based, soil moisture estimation , 2001 .

[18]  M. Zribi,et al.  A new empirical model to retrieve soil moisture and roughness from C-band radar data , 2003 .

[19]  Mehrez Zribi,et al.  Potential of ASAR/ENVISAT for the characterization of soil surface parameters over bare agricultural fields , 2005 .