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Modeling diurnal variation of ground thermal radiance images using energy balance model and endmember composing technique

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Science China(Technological Sciences) 2012年第11期55卷 3223-3231页

作者： ZHAO LiMin GU XingFa YU Tao WAN Wei XIONG Pan XIE YanHua ZHANG Lun State Key Laboratory of Remote Sensing Science Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal UniversityBeijing 100101China The Center for National Spaceborne Demonstration Beijing 100101China School of Earth and Space Sciences Peking UniversityBeijing 100871China Institute of Earthquake Science China Earthquake AdministrationBeijing 100036China

Modeling and analyzing dynamic changes of land thermal radiance scenes play an important role in thermal remote sensing. In this paper, the diurnal variation of ground surface thermal scene is mainly discussed. Firstly, based on the land surface energy balance equation, the diurnal variation of land surface temperatures （LSTs） over bare land covers were simulated by an analyt- ical thermal model with second harmonic terms, and the diurnal LST variation of vegetation canopy was simulated using the Cupid model. Secondly, normalized difference vegetation index （NDVI）, normalized difference water index （NDWI）, and ratio resident-area index （RRI） were used to evaluate the endmember abundance of four land cover types including vegetation, bare soil, impervious and water area, which were calculated from IKONOS visible and near infrared （VNIR） bands. Finally, the thermal radiance scenes at various times and view angles were modeled based on the linear-energy-mixing hypothesis. The re- suits showed that the simulated daily LST variations for vegetated and bare surfaces are correlated with the measured values with a maximum standard deviation of 2.7℃, that land thermal radiant textures with high-resolution are restored from the lin- ear-energy-mixing method, and that the information abundance of the scene are related to the distribution of land cover, the imaging time, and the view angle.

关键词： surface energy balance model surface temperature endmember index thermal radiance scene modeling high-spatialresolution

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