Thermal infrared imaging of the variability of canopy-air temperature difference distribution for heavy metal stress levels discrimination in rice

Biyao Zhang; Xiangnan Liu; Meiling Liu; Dongmin Wang

doi:10.1117/1.JRS.11.026036

23 June 2017 Thermal infrared imaging of the variability of canopy-air temperature difference distribution for heavy metal stress levels discrimination in rice

Biyao Zhang, Xiangnan Liu, Meiling Liu, Dongmin Wang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 2, 026036 (June 2017). https://doi.org/10.1117/1.JRS.11.026036

Abstract

This paper addresses the assessment and interpretation of the canopy-air temperature difference (Tc-Ta) distribution as an indicator for discriminating between heavy metal stress levels. Tc-Ta distribution is simulated by coupling the energy balance equation with modified leaf angle distribution. Statistical indices including average value (AVG), standard deviation (SD), median, and span of Tc-Ta in the field of view of a digital thermal imager are calculated to describe Tc-Ta distribution quantitatively and, consequently, became the stress indicators. In the application, two grains of rice growing sites under “mild” and “severe” stress level were selected as study areas. A total of 96 thermal images obtained from the field measurements in the three growth stages were used for a separate application of a theoretical variation of Tc-Ta distribution. The results demonstrated that the statistical indices calculated from both simulated and measured data exhibited an upward trend as the stress level becomes serious because heavy metal stress would o

Citation Download Citation

Biyao Zhang, Xiangnan Liu, Meiling Liu, and Dongmin Wang "Thermal infrared imaging of the variability of canopy-air temperature difference distribution for heavy metal stress levels discrimination in rice," Journal of Applied Remote Sensing 11(2), 026036 (23 June 2017). https://doi.org/10.1117/1.JRS.11.026036

Received: 11 January 2017; Accepted: 6 June 2017; Published: 23 June 2017

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