东辽河流域土壤含水量遥感模拟  

Remote Sensing Simulation of Soil Moisture Content in Dongliaohe Basin

作　　者：刘立文[1] 邢立新[1] 潘军[1] 曹会[1] 白志远[2] 王建雷[3] 

机构地区：[1]吉林大学地球探测科学与技术学院,吉林长春130026 [2]吉林省基础地理信息中心,吉林长春130051 [3]山西农业大学资源环境学院,山西太谷030801

出　　处：《湖南农业科学》2012年第11期128-131,共4页Hunan Agricultural Sciences

基　　金：吉林省科技发展基金(20094078)

摘　　要：温度植被干旱指数(Temperature-Vegetation Dryness Index,TVDI)是一种基于光学与热红外遥感通道数据进行植被覆盖区域表层土壤含水量反演的方法。针对传统的TVDI模型未考虑地表能量平衡因素对地表温度(Ts)的影响和大气及土壤背景对植被指数影响的问题,首先利用数字高程模型(Digital Elevation Model,DEM)影像对研究区做地形校正,消除地形起伏和覆盖类型差对地表温度的影响;其次分析地表温度(Ts)与比值植被指数(RVI)、归一化植被指数(NDVI)、增强型植被指数(EVI)、修正土壤调整植被指数(MSAVI)等植被指数模型和实测土壤含水量的相关性,选择相关性最高的Ts/MSAVI反演土壤含水量。结果表明,Ts/MSAVI能够有效对东辽河地区土壤含水量进行估算。Temperature-Vegetation Dryness Index （TVDI） is an inversion analysis method for soil water content in vegetation coverage area based on optical and thermal infrared remote sensing channel data. The traditional TVDI model does not consider the affects of surface energy balance factors on the surface temperature （Ts） and the atmosphere and the soil background on vegetation index. Firstly, the impacts of topography and differences of cover types on Ts were eliminated using Digital Elevation Model （DEM） image. Secondly, the correlation between the measured soil moisture content and different TVDI index models such as Ts/RVI, Ts/NDVI, Ts/EVI and Ts/MSAVI was analyzed. Then, choosing the model of Ts/MSAVI, of which correlation is the highest, to invert moisture content in soil. Finally, the results indicated that the Ts/MSAVI model can estimate the soil moisture content in Dongliaohe basin effectively.

关 键 词：土壤含水量 TVDI 地形校正 植被指数 地表温度 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]