Modeling diurnal variation of ground thermal radiance images using energy balance model and endmember composing technique  被引量:2

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

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作  者:ZHAO LiMin GU XingFa YU Tao WAN Wei XIONG Pan XIE YanHua ZHANG Lun 

机构地区:[1]State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101,China [2]The Center for National Spaceborne Demonstration,Beijing 100101,China [3]School of Earth and Space Sciences,Peking University,Beijing 100871,China [4]Institute of Earthquake Science,China Earthquake Administration,Beijing 100036,China

出  处:《Science China(Technological Sciences)》2012年第11期3223-3231,共9页中国科学(技术科学英文版)

基  金:supported by the 12th and the 11th Five-Year Plan of Civil Aerospace Technology Advanced Research Projects (Grant Nos.O6K00100KJ,Y1K0030044);the China International Science and Technology Cooperation Program (Grant No. 2010DFA21880)

摘  要: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 

分 类 号:TP722.6[自动化与计算机技术—检测技术与自动化装置] TN304.26[自动化与计算机技术—控制科学与工程]

 

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