荒漠化地区土壤含水量的遥感定量反演  

Remote sensing quantitative retrieval of soil water content in desertification region

作　　者：范文义[1] 李明泽[1] 应天玉[1] 

机构地区：[1]东北林业大学林学院,哈尔滨150040

出　　处：《应用生态学报》2008年第5期1046-1051,共6页Chinese Journal of Applied Ecology

基　　金：国家高技术研究发展计划项目(2006AA12Z104);黑龙江省博士后科研资助项目(LBH-Q05012)

摘　　要：基于奈曼旗科尔沁沙地TM数据建立了反射率经验模型,据此计算了TM数据的地表反射率,同时通过光学植被盖度模型排除了植被干扰,建立了土壤含水量与地表反射率的回归模型,并以此模型反演出了研究区土壤含水量,最后对TM遥感数据反演的土壤含水量结果进行了精度检验.结果表明:遥感定量反演的理论精度达到81.81%,实际精度达到92.17%,说明荒漠化地区土壤含水量数据的遥感定量反演具有较高的科学性.An empirical model was set up by using TM data to get the reflectance of the earth surface in Naiman Banner of Kerqin Sandy Land, and the influence of vegetation on the pixel reflectance was eliminated by optical vegetation coverage model. The regression model between soil water content and earth surface reflectance was set up to retrieve soil water content, and the accuracy of the retrieved results were validated by in situ data. The results showed that the theoretical and practical precision was 81.81% and 92. 17%, respectively, suggesting that the remote sensing quantitative retrieval of soil water content was scientifically available.

关 键 词：土壤含水量 遥感信息模型 定量反演 

分 类 号：S152.7[农业科学—土壤学] TP79[农业科学—农业基础科学]