Information of soil moisture extraction from microwave scattered field

L. Tang, Wei Yuan, Xin Wang, Zongqian Li
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Abstract

In active microwave remote sensing of soil moisture, the electric field scattered by the soil surface contains information about the soil. Three kinds of a priori knowledge hypotheses are considered for their influence on soil moisture inversion. The neural network (NN) toolbox in MATLAB is used to invert the soil moisture and compute the soil moisture error produced by the uncertainty of these three kinds of hypotheses.
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基于微波散射场的土壤水分信息提取
在土壤水分主动微波遥感中,土壤表面散射的电场包含了土壤的信息。考虑了三种先验知识假设对土壤水分反演的影响。利用MATLAB中的神经网络工具箱对土壤湿度进行反演,并计算这三种假设的不确定性所产生的土壤湿度误差。
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