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Proceedings Paper

Retrieval of land surface temperature in Yangtze Delta by using split-window algorithm and AVHRR data
Author(s): Shuping Zha; Quanfang Wang; Ming Sheng; Yuguo Ding
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Paper 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.

Paper Details

Date Published: 10 July 2009
PDF: 6 pages
Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749004 (10 July 2009); doi: 10.1117/12.836937
Show Author Affiliations
Shuping Zha, Nantong Univ. (China)
Quanfang Wang, Hubei Univ. (China)
Ming Sheng, Nantong Univ. (China)
Yuguo Ding, Nanjing Univ. of Information Science & Technology (China)


Published in SPIE Proceedings Vol. 7490:
PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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