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基于MODIS数据的雪面温度遥感反演
作者单位:State Key Laboratory of Earth Surface Processes and Resource Ecology,College of Resources Science and Technology,Beijing Normal University
基金项目:Supported by the National Natural Science Foundation of China (No.40771136), the International Scientific and Technological Cooperation Program (No.2007DFA20640) and the National 973 Program of China (No. 2007CB714402, 2007CB714403).
摘    要:On the basis of simplification of the Planck function in a low temperature range, this paper revises the practical split-window algorithm and presents a method for retrieving snow surface temperature (Ts) based on MODIS data in the middle-latitude region. The application of this method in Qinghai Lake region reveals that it is feasible for the retrieval of Ts. Results of correlation analysis indicate that there was strong negative relationship between Ts and altitude. By analyzing three typical areas in which land cover was relatively homogenous, this paper discusses the relationship between Ts and normalized difference snow index (NDSI) and then presents a new concept named "NDSI-Ts space".

关 键 词:MODIS数据  雪面温度  遥感反演  计算机应用

Retrieving snow surface temperature based on MODIS data
Ji Zhou,Yunhao Chen,Jing Li,Yan Tang. Retrieving snow surface temperature based on MODIS data[J]. Geo-Spatial Information Science, 2008, 11(4): 247-251. DOI: 10.1007/s11806-008-0102-z
Authors:Ji Zhou  Yunhao Chen  Jing Li  Yan Tang
Affiliation:State Key Laboratory of Earth Surface Processes and Resource Ecology,College of Resources Science and Technology,Beijing Normal Uni-versity,19 Xinjiekouwal Street,Beijing 100875,China;State Key Laboratory of Earth Surface Processes and Resource Ecology,College of Resources Science and Technology,Beijing Normal Uni-versity,19 Xinjiekouwal Street,Beijing 100875,China;State Key Laboratory of Earth Surface Processes and Resource Ecology,College of Resources Science and Technology,Beijing Normal Uni-versity,19 Xinjiekouwal Street,Beijing 100875,China;State Key Laboratory of Earth Surface Processes and Resource Ecology,College of Resources Science and Technology,Beijing Normal Uni-versity,19 Xinjiekouwal Street,Beijing 100875,China
Abstract:On the basis of simplification of the Planck function in a low temperature range, this paper revises the practical split-window algorithm and presents a method for retrieving snow surface temperature (Ts) based on MODIS data in the middle-latitude region. The application of this method in Qinghai Lake region reveals that it is feasible for the retrieval of Ts. Results of correlation analysis indicate that there was strong negative relationship between Ts and altitude. By analyzing three typical areas in which land cover was rela- tively homogenous, this paper discusses the relationship between Ts and normalized difference snow index (NDSI) and then presents a new concept named "NDSI-Ts space".
Keywords:snow surface temperature  normalized difference snow index  altitude  MODIS
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