光学学报, 2017, 37 (9): 0929001, 网络出版: 2018-09-07   

基于Radarsat-2卫星微波遥感的后向散射系数研究 下载: 967次

Backscattering Coefficient Research Based on Microwave Remote Sensing of Radarsat-2 Satellite
黄帅 1,2丁建丽 1,2,*张钧泳 1,2陈文倩 1,2
作者单位
1 新疆大学资源与环境科学学院, 新疆 乌鲁木齐 830046
2 新疆大学绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046
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
Using modified Dobson dielectric constant model as the basic model, we analyze and validate the relationships between soil volumetric water content or soil salinity and dielectric constant. On this basis, we analyze the relationship between backscattering coefficient and dielectric constant by extracting the backscattering coefficient of the radar image at different polarization modes. The results show that the volumetric water content and soil salinity are the main influencing factors of dielectric constant of the soil. The volumetric water content is the decisive factor of the real part of the dielectric constant, and it determines the value of the real part of the dielectric constant. The imaginary part of the dielectric constant is affected by various factors, and the soil salinity is the main factor. The interaction between volumetric water content and soil salinity affects the backscattering coefficient. At the cross polarization mode, the dielectric constant is the main factor affecting the backscattering coefficient of the radar image. The dielectric constant of the soil has a certain potential in monitoring the soil salinity and volumetric water content. It is entirely possible to retrieve soil salinity by radar images.

黄帅, 丁建丽, 张钧泳, 陈文倩. 基于Radarsat-2卫星微波遥感的后向散射系数研究[J]. 光学学报, 2017, 37(9): 0929001. Shuai Huang, Jianli Ding, Junyong Zhang, Wenqian Chen. Backscattering Coefficient Research Based on Microwave Remote Sensing of Radarsat-2 Satellite[J]. Acta Optica Sinica, 2017, 37(9): 0929001.

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