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Estimation and analysis soil moisture of hunshandake sandy land from polarimetric SAR data

机译:基于极化SAR数据的浑善达克沙地土壤水分估算与分析

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At present, various models are developed for soil moisture retrieval, but the application of polarimetric SAR data to retrieve soil moisture in sandy land is rare. Therefore, it is necessary to develop a method for retrieving soil moisture in sandy land. In this paper, we proposed a model to estimate the soil moisture in Hunshandake Sandy Land. The model does not need to take into account the surface roughness, only using the VV and HH polarization backscattering coefficients can be used to retrieve soil moisture. In addition, diversity of the vegetation over the sandy land is difficult to predict. We selected five samples to analyze the effect of vegetation on the inversion results of soil moisture in sandy land.
机译:目前,开发了各种土壤水分反演模型,但很少使用极化SAR数据反演沙地土壤水分。因此,有必要开发一种用于恢复沙地土壤水分的方法。在本文中,我们提出了一个估计浑善达克沙地土壤水分的模型。该模型不需要考虑表面粗糙度,仅需使用VV和HH极化反向散射系数即可获取土壤水分。另外,很难预测沙地上植被的多样性。我们选择了五个样本来分析植被对沙地土壤水分反演结果的影响。

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