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TM热红外波段等效比辐射率估算
引用本文:吴骅,李彤.TM热红外波段等效比辐射率估算[J].遥感信息,2006(3):26-28,i0003.
作者姓名:吴骅  李彤
作者单位:北京师范大学地理学与遥感科学学院遥感与地理信息系统研究中心,北京,100875
基金项目:国家自然科学基金(40271081),北京市自然科学基金重点基金(4051003),北京市共建项目(SYS100270431),国家重点基础研究发展规划项目“973计划”(G20000779)共同资助
摘    要:地表比辐射率是热红外遥感获取地表温度必不可少的参数。目前,实验室或野外实际测量的都是8~14um热红外波段范围内的地表比辐射率,这与Landsat 5 TM热红外波段10.4~12.5um范围内的地表比辐射率还存在着一定的差异。本文将着重探讨TM热红外范围内地表比辐射率的估算方法,然后根据估算出的地表比辐射率,利用覃志豪等提出的单窗算法1~2],对北京城八区进行地表温度反演。结果表明,该方法能获得较为合理的地表温度反演结果。

关 键 词:地表温度反演  比辐射率  单窗算法  Landsat  TM
文章编号:1000-3177(2006)85-0026-03
收稿时间:2005-10-17
修稿时间:2005-10-172005-11-16

The Estimation of Land Surface Emissivity for Landsat TM Thermal Infrared Band
WU Hua,LI Tong.The Estimation of Land Surface Emissivity for Landsat TM Thermal Infrared Band[J].Remote Sensing Information,2006(3):26-28,i0003.
Authors:WU Hua  LI Tong
Affiliation:Research Center for Remote Sensing and GIS, School of Geography, Beijing Normal University, Beijing, 100875, China
Abstract:Land surface emissivity(LSE) is an absolutely necessary parameter for land surface temperature(LST) retrieval from thermal remote sensing data.At present,laboratory or field spectral measurements can only give broadband(8-14um) integrated emissivities which are different from the effective emissivity of TM thermal band(10.4-12.5um).The objective of this study was to examine the estimation of land surface emissivity equivalent to that required for LST retrieval from TM thermal band data.Using mono-window algorithm,we also present an example of LST retrieval in the paper to show the spatial variation of LST in Beijing,the capital of China.The result shows that the method can yield a reasonable estimation of LST of that area.
Keywords:land surface temperature retrieval  land surface emissivity  mono-window algorithm  Landsat TM
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