覃志豪1, LI Wenjuan2, ZHANG Minghua3, Arnon Karnieli4, Pedro Berliner4
1. 南京大学国际地球系统科学研究所, 南京 210093;
2. 瑞典雨美大学空间模型中心, Kiruna 98028, 瑞典;
3. 美国加洲大学土气水资源系, Davis CA 96515, 美国;
4. 以色列本古里安大学布劳斯汀沙漠研究所, Sede Boker Campas 84990, 以色列
ESTIMATING OF THE ESSENTIAL ATMOSPHERIC PARAMETERS OF MONO-WINDOW ALGORITHM FOR LAND SURFACE TEMPERATURE RETRIEVAL FROM LANDSAT TM6
QIN Zhi-hao1, LI Wen-juan2, ZHANG Ming-hua3, Arnon Karnieli4, Pedro Berliner4
1. International Institute for the Earth System Science, Nanjing University, Nanjing 210093, China;
2. The Spatial Modeling Centre, Umea University, Kiruna 98028, Sweden;
3. Dept. of Land Air and Water Resources, University of California, Davis CA 96515, USA;
4. J. Blaustein Inst. for Desert Research, Ben Gurion University of the Negev, Sede Boker Campus 84990, Israel
Abstract：The thermal band data of Landsat TM (TM6) is highly suitable for analyzing the spatial patterns of the Earth's heat flux variation and surface temperature. Based on the thermal radiance transfer equation and several approximations to its terms, the authors developed a mono-window algorithm for retrieving land surface temperature (LST) from TM6 data. Unlike the conventional atmospheric correction which requires the in situ atmospheric profile data to estimate the atmospheric thermal radiance and absorption, the proposed mono-window algorithm directly involves the impacts of both atmosphere and the emitted ground into its computation, hence avoids the consequence of inaccurate atmospheric radiance estimate. The proposed algorithm requires two essential atmospheric parameters for LSTretrieval; transmittance and atmospheric average temperature. This paper discusses the estimation of the essential atmospheric parameters. Atmospheric effective mean temperature can be estimated using the ground meteorological observation data. Equations also have been constructed for estimation of atmospheric transmittance using the atmospheric water vapor content in the profile. Moderate errors in estimating the two essential atmospheric parameters may cause a bias of about 1.2℃ to the LSTretrieval, which is within the acceptable accuracy of 1.5℃ for most applications.
覃志豪, LI Wenjuan, ZHANG Minghua, Arnon Karnieli, Pedro Berliner. 单窗算法的大气参数估计方法[J]. 国土资源遥感, 2003, 15(2): 37-43.
QIN Zhi-hao, LI Wen-juan, ZHANG Ming-hua, Arnon Karnieli, Pedro Berliner . ESTIMATING OF THE ESSENTIAL ATMOSPHERIC PARAMETERS OF MONO-WINDOW ALGORITHM FOR LAND SURFACE TEMPERATURE RETRIEVAL FROM LANDSAT TM6. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(2): 37-43.
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2003, Vol. 15 
