基于IEM模拟的干旱区多时相数据含水含盐量反演模型及分析

熊文成; 邵芸

doi:10.11834/jrs.20060117

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基于IEM模拟的干旱区多时相数据含水含盐量反演模型及分析
Applying Multi-temporal Synthetic Aperture Radar（SAR） to Evaluating Soil-water and Salt Content Based on IEM in Arid Areas
2006年第1期页码：111-117
纸质出版：2006
DOI： 10.11834/jrs.20060117
稿件说明：

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[1]熊文成,邵芸.基于IEM模拟的干旱区多时相数据含水含盐量反演模型及分析[J].遥感学报,2006(01):111-117. DOI： 10.11834/jrs.20060117.

XIONG Wen-cheng, SHAO Yun. Applying Multi-temporal Synthetic Aperture Radar（SAR） to Evaluating Soil-water and Salt Content Based on IEM in Arid Areas[J]. Journal of Remote Sensing, 2006, (1): 111-117. DOI： 10.11834/jrs.20060117.

摘要

根据干旱区的一些自然地理特征

利用IEM模型生成干旱区的多时相（少雨期、多雨期）后向散射数据

然后对数据进行统计分析。一方面印证了多雨期与少雨期后向散射差（σ0wet-σ0dry）与土壤介电常数高度相关的实验观察;另外一方面根据大量的模拟数据找到确切的（σ0wet-σ0dry）与土壤介电常数的关系。最后对盐渍化干旱区的情况（有的干旱区有严重的盐渍化）进行了探讨

发现后向散射系数差（σ0wet-σ0dry）与大介电常数虚部差成较好的线性关系

这为反演土壤含盐量提供了一定依据

但由于介电常数虚部是由含水含盐量两个量决定的

所以要直接反演出含水含盐量还需要进一步研究。

Abstract

Coupled with physical geographical features in arid areas

multi-temporal backscattering coefficients data（wet and dry seasons） were generated by IEM model.Analyzing these simulated data

we found there is a strong correlation between difference of wet and dry seasons backscattering coefficients(σ

wet

-σ

dry

) and soil dielectric constant

which is in agreement with the experimental observation in the literature;and then established the relation model between σ

wet

-σ

dry

and dielectric constant.This paper also carried out the research about salinization that is common in arid areas

and found there is a good correlation between σ

wet

-σ

dry

and the large difference of imaginary part of dielectric constant.This result is helpful to retrieve soil salt content if there is a clear understanding about the relation of imaginary part and soil moisture and salt content.

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