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首页> 外文期刊>Hydrological ProcHydrological Processesrnesses >Estimation of near surface soil moisture in a sloping terrain of a Himalayan watershed using ENVISAT ASAR multi‐incidence angle alternate polarisation data
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Estimation of near surface soil moisture in a sloping terrain of a Himalayan watershed using ENVISAT ASAR multi‐incidence angle alternate polarisation data

机译:利用ENVISAT ASAR多入射角交替极化数据估算喜马拉雅流域坡地近地表土壤水分。

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摘要

Soil moisture is one of the important input variables in hydrological and water erosion models. The extraction of information on near surface soil moisture from synthetic aperture radar (SAR) is well established mostly for flat terrain and using low incidence angle single polarisation data. The ENVISAT advanced SAR (ASAR) data available in multiple incidence angles and alternate polarisation modes were investigated in this study for soil moisture estimation in sloping terrain. The test site was Sitla Rao watershed in the Lesser Himalayas of northern India. Empirical models were developed to estimate near surface soil moisture in bare agricultural fields using alternate polarisation ASAR data. Both soil moisture and surface roughness field measurements were performed during the satellite passes. Backscatter from medium incidence angle (IS-4) and vertical-vertical (VV) polarisation signal is correlated better with volumetric soil moisture content compared to other incidence angles. The model parameters were further improved, and soil moisture estimation was refined by combining medium incidence angle (IS4) vertical-horizontal polarisation response as another variable along with VV polarisation response. The effect of slope on the radar backscatter was minimized by incorporating local incidence angles derived from an ASTER DEM. Copyright © 2012 John Wiley & Sons, Ltd.
机译:土壤水分是水文和水蚀模型中重要的输入变量之一。已经很好地确定了从合成孔径雷达(SAR)中提取近地表土壤水分的信息,主要是针对平坦地形并使用低入射角单极化数据。在这项研究中,研究了在多个入射角和交替极化模式下可用的ENVISAT高级SAR(ASAR)数据,用于估算倾斜地形中的土壤湿度。测试地点是印度北部小喜马拉雅山脉的Sitla Rao分水岭。建立了经验模型以使用交替极化ASAR数据估算裸露农田中的近地表土壤水分。在卫星通过过程中都进行了土壤湿度和表面粗糙度场的测量。与其他入射角相比,来自中等入射角(IS-4)和垂直-垂直(VV)极化信号的反向散射与土壤体积含水量的相关性更好。通过进一步将模型入射角(IS4)垂直-水平极化响应作为另一个变量与VV极化响应相结合,进一步改善了模型参数,并改进了土壤湿度估算。通过合并从ASTER DEM导出的局部入射角,可以将斜率对雷达后向散射的影响降至最低。版权所有©2012 John Wiley&Sons,Ltd.

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