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基于全极化雷达数据反演夏玉米覆盖农田表层土壤含水量
引用本文:王春梅,;余涛,;孟庆岩,;占玉林,;杨健,;李娟,;魏香琴.基于全极化雷达数据反演夏玉米覆盖农田表层土壤含水量[J].西北水资源与水工程,2014(2):29-34.
作者姓名:王春梅  ;余涛  ;孟庆岩  ;占玉林  ;杨健  ;李娟  ;魏香琴
作者单位:[1]中国科学院遥感与数字地球研究所、遥感科学国家重点实验室,北京100101; [2]国家航天局航天遥感论证中心,北京100101
基金项目:十二五民用航天项目(D040201);高分辨率对地观测系统国家重大专项(YZD00100GF);遥感科学国家重点实验室资助项目(Y1Y00244KZ);国家自然科学基金资助项目(11101421);中国科学院遥感应用研究所知识创新工程青年人才领域前沿项目(Y1S01500CX)
摘    要:基于RADARSAT-2全极化C波段雷达数据和野外实测数据,建立了不同极化方式的后向散射系数与夏玉米植被含水量的响应关系,获得了山东禹城夏玉米覆盖区域农作物含水量。在此基础上,对"水—云模型"的参数进行了修改,从总的极化雷达后向散射中去除了植被影响,获取了土壤组分的后向散射系数,从而能够通过雷达多极化数据得到表层土壤含水量。结果表明:夏玉米植被含水量观测值与VH、VV后向散射系数的相关性均达到显著水平,相关系数分别为0.86和0.79,VH极化优于VV极化;在RADARSAT-2四种极化方式下,VV极化下的"水—云模型"理论计算的误差平方和最小,是研究区表层土壤含水量反演的最优极化方式。

关 键 词:雷达  水—云模型  夏玉米  土壤含水量  植被含水量

Surface soil moisture of farmland covered by summer corn stalk retrieved by full polarimetric radar data
Affiliation:WANG Chunmei, YU Tao, MENG Qingyan, ZHAN Yulin, YANG Jian, LI Juan, WEI Xiangqin( 1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China; 2. Demonstration Center for Space Remote Sensing of NASA, Beijing 100101, China)
Abstract:Based on the RADARSAT-2 full polarization C-band radar data and field survey data,the paper set up the response relationship between backscatter coefficient of different polarization modes and vegetation water content of summer corn,and got the water content of summer corn crop in covered area of Shandong Yucheng. On this basis,it modified the parameters of water-cloud model and obtained the backscatter coefficient of soil components from removing the backward scattering field of the total polarization radar vegetation influence so as to get surface soil water content by radar data of multipolarization. The results show that the correlation between vegetation water content of summer corn and VH,VV scattering coefficient reached significant level,correlation coefficient is 0. 86 and 0. 79 respectively,the value of VH polarization is better than that of VV polarization; Under the four polarization modes of RADARSAT-2 and the water and cloud model of VV polarization,error sum of squares of theory calculation is the least,which is the optimal polarization inversion type of surface soil water content in the study area.
Keywords:radar  water-cloud model  summer corn  soil moisture  vegetation water content
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