A simulation model of  vegetation temperature based on physiological characteristics

Wei Lin; Ji-yuan Wang; Yu-hua Chen; Ji-jun Wang; Rong-hua Su

doi:10.1117/12.2070433

20 November 2014 A simulation model of vegetation temperature based on physiological characteristics

Wei Lin, Ji-yuan Wang, Yu-hua Chen, Ji-jun Wang, Rong-hua Su

Proceedings Volume 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications; 93000F (2014) https://doi.org/10.1117/12.2070433
Event: International Symposium on Optoelectronic Technology and Application 2014, 2014, Beijing, China

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.

Citation Download Citation

Wei Lin, Ji-yuan Wang, Yu-hua Chen, Ji-jun Wang, and Rong-hua Su "A simulation model of vegetation temperature based on physiological characteristics", Proc. SPIE 9300, International Symposium on Optoelectronic Technology and Application 2014: Infrared Technology and Applications, 93000F (20 November 2014); https://doi.org/10.1117/12.2070433

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available