Application of path analysis for retrieving land surface temperature from NOAA-AVHRR remotely sensed thermal infrared images

Pengxin Wang; Jianya Gong; Xiaowen Li

doi:10.1117/12.441386

25 September 2001 Application of path analysis for retrieving land surface temperature from NOAA-AVHRR remotely sensed thermal infrared images

Pengxin Wang, Jianya Gong, Xiaowen Li

Author Affiliations +

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441386
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

An algorithm for retrieving land surface temperature (LST) was developed by using multiple linear regression analysis and path analysis based on the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer (AVHRR) remotely sensed thermal infrared data. The analysis results indicated that the brightness temperatures of the AVHRR thermal infrared channels 4 and 5 should be involved in retrieving LST, and showed that it became difficult to disentangle the effects of the brightness temperatures of the AVHRR channels 4 and 5 on LST. Therefore, a split-window algorithm for retrieving LST was developed by introducing the difference of the two brightness temperatures.

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Pengxin Wang, Jianya Gong, and Xiaowen Li "Application of path analysis for retrieving land surface temperature from NOAA-AVHRR remotely sensed thermal infrared images", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441386

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