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 +

Funded by: National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China, Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, National Key Laboratory of Science and Technology on Remote Sensing Information and Image Analysis, Beijing Research Institute of Uranium Geology

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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