基于中分辨率遥感影像的湿地土壤水分提取方法  

the Method of extracting Wetland Soil Moisture Based on Moderate Resolution Image

作　　者：阿多[1] 赵文吉[1] 程立海[2] 宫兆宁[1] 周廷刚[3] 

机构地区：[1]首都师范大学资源环境与旅游学院/三维信息获取与应用教育部重点实验室/资源环境与地理信息系统北京市重点实验室,北京100048 [2]国家测绘地理信息局管理信息中心,北京100830 [3]西南大学地理科学学院,重庆400715

出　　处：《湖北农业科学》2015年第5期1066-1072,共7页Hubei Agricultural Sciences

基　　金：国家自然科学基金青年科学基金项目(41101404)

摘　　要：利用中分辨率的TM遥感影像反演湿地土壤水分,探寻湿地土壤水分和非湿地土壤水分提取的不同之处,对湿地监测具有重要意义。建立地表温度(Ts)与归一化植被指数(NDVI)之间的二维特征空间,用IDL编程在特征空间内提取对应的特征点,拟合温度植被干旱指数(TVDI)法需要的干湿边方程,能快速反演出野鸭湖湿地的土壤水分情况。反演结果与实测值的相关系数为0.860,呈极显著相关,均方根误差为0.104 2,平均绝对误差为0.084 5。结果证明利用温度植被干旱指数(TVDI)法进行野鸭湖湿地这样的小尺度范围的反演土壤水分含量,方法可行,且中分辨率影像的土壤水分反演精度高于低分辨率影像的反演精度。The two-dimensional feature space between the surface temperatures （T,）and normalized differential vegetation index （NDVI） was established by using the TM remote sensing images. The dry and wet side equation needed by the method of arid vegetation index was fitted in the feature space with the programming of IDL. The soil moisture condition of Yeyahu wetland was inversed rapidly. The correlation coefficient between inversion results and measured values was 0.860, with root mean square error of 0.1042 and the average absolute error of 0.0845. The results of soil moisture inversion showed that image retrieval accuracy of middle-resolution was better than that of the low-resolution, proving that using temperature vegetation dryness index （TVDI） to invert the wetland soil moisture content on a small scale such as in Wild Duck Lake wetland was feasible.

关 键 词：温度植被干旱指数(TVDI) 土壤水分反演 湿地 TM影像 

分 类 号：S127[农业科学—农业基础科学] S152.7