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The method for soil moisture inversion based on ground-based scattering measurement

机译:基于地基散射测量的土壤水分反演方法

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With the ENVISAT-ASAR Alternating Polarisation mode and the parameter sets of HJ-1C-SAR as the research foundation, using the measurement data by multi-wave bands and multi-polarization ground-based scatterometer, the paper studies an inversion method of bare-surface soil moisture. The studies simultaneously consider the influence which include root-mean-square height S and correlation length L in this method, and combine the two roughness parameters, expressed as a combination of roughness Zs. Using Integral Equation Model (IEM) to analysis the relationship between Zs in different incident angles and the difference of the backscattering coefficients under two wavelengths, establishes the multinomial semi-empirical model for soil moisture inversion under different angles. The model's validation is conformed by the ground-based scattering datas, the results show that, for the medium and low roughness of the bare surface, the error is smaller than 15 percent between inversion value with the model and the measured soil moisture.
机译:本文以ENVISAT-ASAR交替极化模式和HJ-1C-SAR参数集为研究基础,结合多波段多极化和地极化散射仪的测量数据,研究了裸露的反演方法。表层土壤水分。研究同时考虑了在该方法中包括均方根高度S和相关长度L的影响,并将这两个粗糙度参数组合在一起,用粗糙度Zs的组合表示。利用积分方程模型(IEM)分析了不同入射角下Zs与两种波长下反向散射系数差的关系,建立了不同角度下土壤水分反演的多项式半经验模型。该模型的验证通过基于地面的散射数据进行验证,结果表明,对于中低粗糙度的裸露表面,该模型的反演值与测得的土壤湿度之间的误差小于15%。

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