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

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

作者机构：State Key Laboratory of Remote Sensing ScienceJointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal UniversityBeijing 100101China The Center for National Spaceborne DemonstrationBeijing 100101China School of Earth and Space SciencesPeking UniversityBeijing 100871China Institute of Earthquake ScienceChina Earthquake AdministrationBeijing 100036China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2012年第55卷第11期

页      面：3223-3231页

核心收录：

学科分类：080903[工学-微电子学与固体电子学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 09[农学] 083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0804[工学-仪器科学与技术] 0903[农学-农业资源与环境] 080501[工学-材料物理与化学] 0816[工学-测绘科学与技术] 081602[工学-摄影测量与遥感] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 081102[工学-检测技术与自动化装置] 0811[工学-控制科学与工程] 

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) 

主　　题：surface energy balance model surface temperature endmember index thermal radiance scene modeling high-spatialresolution 

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.