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Proceedings Paper

A simulation model of vegetation temperature based on physiological characteristics
Author(s): Wei Lin; Ji-yuan Wang; Yu-hua Chen; Ji-jun Wang; Rong-hua Su
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Paper Abstract

To simulate vegetation temperature is an important part in the thermal infrared simulation. In previous physical models, the physiological characteristics of vegetation has only considered the influence of transpiration to temperature, but without respiration, and the aerodynamics model which has been used before needs more model parameters and they are difficult to obtain. In the present paper, a transpiration rate model has been used, in which the latent heat component of the vegetation has been optimized and the respiration component has been joined. Then the physiological model of vegetation temperature simulation has been established which improves the original vegetation energy budget theory. Experimental verification and comparison shows that the maximum simulation error of physiological model is within 2℃, the average error is within 1℃. It seems that the simulation accuracy is significantly better than the previous physical model that will improve the overall thermal infrared simulation accuracy.

Paper Details

Date Published: 20 November 2014
PDF: 9 pages
Proc. SPIE 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications, 93000F (20 November 2014); doi: 10.1117/12.2070433
Show Author Affiliations
Wei Lin, Beijing Institute of Technology (China)
Key Lab. of Photoelectronic Imaging Technology and System (China)
Ji-yuan Wang, Beijing Canbao Institute of Architectural Design (China)
Yu-hua Chen, Beijing Canbao Institute of Architectural Design (China)
Ji-jun Wang, Beijing Canbao Institute of Architectural Design (China)
Rong-hua Su, Beijing Canbao Institute of Architectural Design (China)


Published in SPIE Proceedings Vol. 9300:
International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications
Mircea Guina; Haimei Gong; Zhichuan Niu; Jin Lu, Editor(s)

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