陆地卫星TM6波段范围内地表比辐射率的估计  

THE ESTIMATION OF LAND SURFACE EMISSIVITY FOR LANDSAT TM6

作　　者：覃志豪[1] 李文娟 徐斌[1] 陈仲新[1] 刘佳[1] 

机构地区：[1]农业部资源遥感与数字农业重点开放实验室 [2]瑞典雨美大学空间模型中心

出　　处：《国土资源遥感》2004年第3期28-32,36,41,i001,共8页Remote Sensing for Land & Resources

基　　金：国家973项目(2000018601);中国农业科学院杰出人才项目资助。

摘　　要：地表比辐射率是用热红外波段遥感数据反演地表温度的关键参数。目前,应用陆地卫星TM6波段数据反演地表温度共有3种算法,即大气校正法、单窗算法和单通道算法。这3种算法都需要TM6波段范围内的地表比辐射率作为地表温度反演参数。本文首先简介这3种反演算法;然后着重探讨TM6波段地表比辐射率估计方法;最后,利用这一方法对山东省陵县附近农田地区进行地表比辐射率估计和地表温度反演。结果表明,该方法能获得较合理的地表温度反演结果。Land surface emissivity (LSE) is an essential parameter for land surface temperature (LST) retrieval from thermal remote sensing data. Up till now, three methods have been proposed for LST retrieval from TM6 data, namely, atmospheric correction, mono-window algorithm and single channel algorithm, which all require LSE as a parameter. In this paper the authors have first reviewed the three methods and then dealt emphatically with the estimation of this parameter. The method was applied to Lingxian area of Shangdong Province in North China Plain, the most important agricultural area in China, for LSE estimation and LST retrieval. The result shows that the method can yield a reasonable estimation of thermal variation of that area.

关 键 词：陆地卫星TM 地表温度 地表比辐射率 单窗算法 单通道算法 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]