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EVALUATION OF A PHYSICALLY-BASED PASSIVE MICROWAVE LAND SURFACE TEMPERATURE RETRIEVAL ALGORITHM USING MODIS DATA

文献类型： 会议论文

第一作者： Cheng Huang

作者： Cheng Huang 1 ; Si-Bo Duan 2 ; Xiao-Guang Jiang 1 ; Zhao-Liang Li 2 ; Hua Wu 3 ; Xiao-Jing Han 2 ; Pei Leng 2 ; Maofang Gao 2 ; Yazhen Jiang 1 ; Xiaoping Zhang 1 ; Caixia Gao 4 ;

作者机构： 1.College of Resources and Environment, University of Chinese Academy of Sciences

2.Key Laboratory of Agricultural Remote Sensing, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences

3.State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

4.Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences

关键词： Land surface temperature;Passive microwave;AMSR2

会议名称： IEEE International Geoscience and Remote Sensing Symposium

主办单位：

页码： 7132-7135

摘要： Passive microwave data are much less affected by clouds than TIR data for the retrieval of land surface temperature (LST), providing its unique advantages in global mapping of LST. In this study, a physically-based algorithm for LST retrieval was applied to AMSR2 global brightness temperature data. The performances of this algorithm applied on different land cover types were further evaluated against nighttime MYD11A1 thermal infrared LST products. The results showed that (i) the overall accuracy of the algorithm is about 5.42 K by root mean square error (RMSE) and 2.99 K by bias against MODIS LST during nighttime; (ii) the algorithm overestimates the LST over all land types. The overestimation is most evident over barren/sparsely vegetated surfaces. The algorithm shows that the algorithm has a robust performance comparing with MODIS LST and could be applied to estimate LST effectively.

分类号： TP7-53

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