Analysis of Data Sets With Different Microwave Remote Sensing Mode in Soil Moisture Retrieval

Yuan Wei、 Li Zongqian、 Liu Ning

Strategic Study of CAE ›› 2004, Vol. 6 ›› Issue (6) : 50-56.

PDF(4363 KB)
PDF(4363 KB)
Strategic Study of CAE ›› 2004, Vol. 6 ›› Issue (6) : 50-56.
Academic Papers

Analysis of Data Sets With Different Microwave Remote Sensing Mode in Soil Moisture Retrieval

  • Yuan Wei、 Li Zongqian、 Liu Ning

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Abstract

The scattering coefficient and emissivity are both very sensitive to the moisture content of bare soil surface, which is the essence of measuring soil moisture by using microwave technology. The methods and characters of three microwave remote sensing modes for soil moisture retrieval are discussed in this paper. Firstly, scattering coefficient and emissivity for bare soil surface are calculated based on the theoretical backscattering model BSM. Then the paper analyzes the distribution of isomoisture regions of different data sets, and presents that soil moisture information can be retrieved by using ANN with appropriate input data set.

Keywords

microwave remote sensing / soil moisture retrieval / remote sensing modes / neural network

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Yuan Wei,Li Zongqian,Liu Ning. Analysis of Data Sets With Different Microwave Remote Sensing Mode in Soil Moisture Retrieval. Strategic Study of CAE, 2004, 6(6): 50‒56
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