| Technology and Methodology |
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Performance analysis of split-window algorithms for retrieving land surface temperature using remote sensing data of 8.0~9.3 μm |
| ZHANG Xiao1,2, TANG Yuyu1, HUANG Xiaoxian1, WEI Jun1 |
1. Shanghai Institute of Technical Physics of Chinese Academy of Sciences, Shanghai 200083, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China |
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Abstract Spaceborne wide-field imaging spectrometer sets up two channels, CH18(8.125~8.825 μm) and CH19 (8.925~9.275 μm) for retrieving land surface temperature. To verify the adaptability of the traditional split-window algorithms applied to the atmospheric window of 10~14 μm for the atmospheric window of 8.0~9.3 μm, the authors introduced three kinds of split-window algorithms, i.e., Sobrino,Franca & Cracknell and Becker, with the parameter calculation formulae being revised against band setting for split-window in atmospheric window of 8.0~9.3 μm, and verified the retrieved accuracies of land surface temperature by the six standard atmospheric models supplied by MODTRAN. The results show that the present 3 kinds of split-window algorithms fail to meet the land surface temperature precision requirement of less than 1K and are not suitable for direct transplantation.
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Landsat TM
SUTM
E-DisTrad
LST decomposition
Beijing
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Issue Date: 02 March 2015
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2015,
Vol. 27
