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Journal of Applied Remote Sensing

Thermal infrared imaging of the variability of canopy-air temperature difference distribution for heavy metal stress levels discrimination in rice
Author(s): Biyao Zhang; Xiangnan Liu; Meiling Liu; Dongmin Wang
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Paper Abstract

This paper addresses the assessment and interpretation of the canopy-air temperature difference ( T c - T a ) distribution as an indicator for discriminating between heavy metal stress levels. T c - T a 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 T c - T a in the field of view of a digital thermal imager are calculated to describe T c - T a 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 T c - T a 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

Paper Details

Date Published: 23 June 2017
PDF: 15 pages
J. Appl. Rem. Sens. 11(2) 026036 doi: 10.1117/1.JRS.11.026036
Published in: Journal of Applied Remote Sensing Volume 11, Issue 2
Show Author Affiliations
Biyao Zhang, China Univ. of Geosciences (China)
Xiangnan Liu, China Univ. of Geosciences (China)
Meiling Liu, China Univ. of Geosciences (China)
Dongmin Wang, China Univ. of Geosciences (China)

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