Generation of an all-weather land surface temperature product from MODIS and AMSR-E data

Si-Bo Duan; Zhao-Liang Li; Pei Leng; Xiao-Jing Han; Yuanyuan Chen

doi:10.1117/12.2207848

9 December 2015 Generation of an all-weather land surface temperature product from MODIS and AMSR-E data

Si-Bo Duan, Zhao-Liang Li, Pei Leng, Xiao-Jing Han, Yuanyuan Chen

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 980816 (2015) https://doi.org/10.1117/12.2207848
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

Land surface temperature (LST) is widely used in a variety of applications, such as meteorology, climatology, and ecology. Up to now, there are no all-weather LST products at high spatial resolution. In this study, we propose a method to generate an all-weather LST product by merging MODIS and AMSR-E data. Two main processes are performed in this method, including retrieving AMSR-E LST and downscaling AMSR-E LST to MODIS pixel resolution. After the implement of these two processes, MODIS LSTs under clear-sky conditions and AMSR-E LSTs under cloudy conditions are merged to generate an all-weather LST product. Results indicate that the merged LSTs filled up the missing data in the original MODIS LSTs due to the effects of cloud when compared with the original MODIS LSTs.

Citation Download Citation

Si-Bo Duan, Zhao-Liang Li, Pei Leng, Xiao-Jing Han, and Yuanyuan Chen "Generation of an all-weather land surface temperature product from MODIS and AMSR-E data", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980816 (9 December 2015); https://doi.org/10.1117/12.2207848

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