基于Radarsat-2卫星微波遥感的后向散射系数研究

发布时间：2018-05-19 22:25

本文选题：散射 + 微波遥感　；参考：《光学学报》2017年09期

【摘要】：以修正的Dobson介电常数模型作为基础模型,分析并验证了土壤体积含水量和含盐量与介电常数的关系。在此基础上,提取不同极化方式下的雷达影像后向散射系数,分析后向散射系数与介电常数之间的关系。结果表明:体积含水量和含盐量是土壤介电常数的主要影响因素;体积含水量是介电常数实部的决定性因素,直接决定土壤介电常数实部的大小;介电常数虚部受多种因素的影响,含盐量为主要因素;体积含水量和含盐量相互作用,共同影响后向散射系数;在交叉极化模式下,介电常数是影响雷达影像后向散射系数的主要因素。基于土壤的介电常数来监测土壤中的含盐量和体积含水量具有一定的潜力,通过雷达影像反演土壤中的含盐量是完全可能的。
[Abstract]:Based on the modified Dobson dielectric constant model, the relationship between soil volumetric water content, salt content and dielectric constant was analyzed and verified. On this basis, the backward scattering coefficients of radar images under different polarization modes are extracted, and the relationship between backscattering coefficients and dielectric constants is analyzed. The results show that the volume water content and salt content are the main influencing factors of the soil dielectric constant, and the volume water content is the decisive factor of the real part of the dielectric constant, which directly determines the size of the real part of the soil dielectric constant. The imaginary part of dielectric constant is affected by many factors, the salt content is the main factor, the interaction of volume water content and salt content affects the backscattering coefficient together. The dielectric constant is the main factor that affects the backscattering coefficient of radar image. Based on the dielectric constant of soil to monitor the salinity and volume water content of soil, it is possible to retrieve the salt content of soil by radar image.
【作者单位】：新疆大学资源与环境科学学院;新疆大学绿洲生态教育部重点实验室;
【基金】：国家自然科学基金(U1303381,41261090) 自治区重点实验室专项基金(2016D03001) 自治区科技支疆项目(201591101) 教育部促进与美大地区科研合作与高层次人才培养项目新疆大学优秀博士研究生创新项目(XJUBSCX-2016013)
【分类号】：S156.41;TP722.6

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