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Retrieval of Land Surface Component Temperature

ZHUANG Jiali\ CHEN Liangfu\ XU Xiru (Institute of Remote Sensing and GIS of Peking University,Beijing,100871)  
Taking erectophile type continuous vegetation as a example,authors had done many Monte Carlo simulations,and established empirical analytic expressions of radiances with component temperature,soil emissivity and leaf area index.Empirical analytic expressions were used to construct objective function and genetic algorithm was employed to synchronously retrieve 5 parameters,such as component temperature,soil emissivity and LAI,from thermal infrared 2 channels and 2 angles data.Many experiments of genetic algorithm inversion from simulated data were conducted,results show that it is very robust to retrieve component temperature using genetic algorithm;genetic algorithm can cope with uncertainty inversion problem pretty well if full advantage of priori knowledge was taken.Comparison between inversion results and ground\|truth data has been done.This paper offers a new example to retrieve component temperature from multi\|channel,multi\|angle thermal infrared data based on the model of directionality of thermal radiance.
【Fund】: 国家“九·五”攀登计划支持项目!(95 预 38);; 国家重点基础研究发展规划! (G2 0 0 0 0 7790 0 )资助项目
【CateGory Index】: P407.1
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