Retrieval of land surface temperature in Yangtze Delta by using split-window algorithm and AVHRR data

Shuping Zha; Quanfang Wang; Ming Sheng; Yuguo Ding

doi:10.1117/12.836937

10 July 2009 Retrieval of land surface temperature in Yangtze Delta by using split-window algorithm and AVHRR data

Shuping Zha, Quanfang Wang, Ming Sheng, Yuguo Ding

Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 749004 (2009) https://doi.org/10.1117/12.836937
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

Abstract

Land Surface Temperature (LST) is not only a necessary physical parameter of global climate system but an important input parameter in some models based on remote sensing for estimating crop yield and surface flux (e.g., sensible heat, latent heat, CO₂ flux), monitoring soil water content and crop water deficit. This paper selected two AVHRR images derived at 11:00am and 1:00pm on April 15, 2003 to retrieve the instantaneous LST in Yangtze Delta by using Splitwindow Algorithm raised by Price (1984). To validate the retrieval effect, daily average LST was calculated on the retrieved instantaneous LST and then compared with the daily average LST measured by the ground weather observation stations. The results show that the total average error is 0.18°C, the maximum error is 2.9°C and the stations with retrieval error less than 1.1°C accounted for 77.78%. Therefore, the retrieval method of instantaneous LST in the paper can obtain more accurate results of the surface temperature in the Yangtze Delta. And the study could provide a scientific basis for the application of thermal infrared remote sensing data on the retrieval of large-scale regional or global surface temperature.

Citation Download Citation

Shuping Zha, Quanfang Wang, Ming Sheng, and Yuguo Ding "Retrieval of land surface temperature in Yangtze Delta by using split-window algorithm and AVHRR data", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749004 (10 July 2009); https://doi.org/10.1117/12.836937

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