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（αwet^0-αdry^0）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（αwet^0-αdry^0）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（αwet^0-αdry^0）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。

Coupled with physical geographical features in arid areas, multi-temporal backscattering\ncoefficients data(wet and dry seasons) were generated by IEM mode.l Analyzing these smi ulated data, we\nfound there is a strong correlation between difference ofwet and dry seasons backscattering coefficients(σ0wet-\nσ0dry) and soildielectric constant, which is in agreementwith the expermi entalobservation in the literature; and\nthen established the relationmodelbetweenσ0wet-σ0dryand dielectric constant. This paper also carried out the\nresearch about salinization that is common in arid areas, and found there is a good correlation betweenσ0wet-\nσ0dryand the large difference of mi aginary part of dielectric constant. This result is helpful to retrieve soil salt\ncontent if there is a clearunderstanding about the relation of mi aginary partand soilmoisture and salt content.