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《Arid Zone Research》 2007-01
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Estimation of the Basic Parameters for Deriving Surface Temperature from MODIS Data

GAO Mao-fang~(1,2),QIN Zhi-hao~(1,2),XU Bin~1(1.Institute of Agricultural Resources and Agricultural Zoning,Chinese Academy of Agricultural Sciences,Beijing 100081,China;2.International Institute for Earth System Science,Nanjing University,Nanjing 210093,China)  
Surface temperature is an important parameter in characterizing surface energy balance and a key parameter in monitoring farming drought,and is of very significance in the studies of global change,meteorology,hydrology,ecology,agricultural,etc.There are many factors affecting atmospheric transmittance, in which air vapor content is dominant.In this paper,the methods of estimating the 2 basic parameters(atmospheric transmittance and surface emissivity) for deriving surface temperature from MODIS data are discussed in detail.After calculating,air vapor content can be derived from the visible and near infrared bands of MODIS data,and then the atmospheric transmittance can be derived using atmospheric radiation transfer model MODTRAN based on the relationship between atmospheric transmittance and air vapor content.The sweep bandwidth of MODIS is 2 330 km and the RS angular field of view and atmospheric temperature affect significantly the atmospheric transmittance,so the calibration functions of RS angular field of view of atmospheric transmittance and of atmospheric temperature are used.Surface emissivity is mainly affected by land cover,especially by vegetation coverage,so the algorithm is developed for estimating surface emissivity based on land cover.Finally,an experiment of applying the methods is conducted to estimate the two parameters,and the results reveal that the methods of estimating the two parameters are applicable.
【Fund】: 国家自然科学基金项目“我国农业旱灾机理与监测方法研究”(30571078);; 国家自然科学基金项目“用MODIS数据反演地表温度的算法及其参数确定”(40471096);; 科研院所社会公益研究专项“我国农业旱灾监测评价技术集成与循环农业发展模式蜒究”(2005DIA3J03)
【CateGory Index】: P407
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