Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21871
Title: Thermal infrared imaging of the temporal variability in stomatal conductance for fruit trees
Authors: Struthers, Raymond
IVANOVA, Anna 
Tits, Laurent
Swennen, Rony
Coppin, Pol
Issue Date: 2015
Source: INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 39, p. 9-17
Abstract: Repeated measurements using thermal infrared remote sensing were used to characterize the change in canopy temperature over time and factors that influenced this change on 'Conference' pear trees (Pyrus communis L.). Three different types of sensors were used, a leaf porometer to measure leaf stomatal conductance, a thermal infrared camera to measure the canopy temperature and a meteorological sensor to measure weather variables. Stomatal conductance of water stressed pear was significantly lower than in the control group 9 days after stress began. This decrease in stomatal conductance reduced transpiration, reducing evaporative cooling that increased canopy temperature. Using thermal infrared imaging with wavelengths between 7.5 and 13 mu m, the first significant difference was measured 18 days after stress began. A second order derivative described the average rate of change of the difference between the stress treatment and control group. The average rate of change for stomatal conductance was 0.06 (mmol m(-2) s(-1)) and for canopy temperature was -0.04 (degrees C) with respect to days. Thermal infrared remote sensing and data analysis presented in this study demonstrated that the differences in canopy temperatures between the water stress and control treatment due to stomata regulation can be validated. (C) 2015 Elsevier B.V. All rights reserved.
Keywords: canopy temperature; pear trees; stomatal conductance; thermal imaging; vapor pressure deficit
Document URI: http://hdl.handle.net/1942/21871
ISSN: 0303-2434
DOI: 10.1016/j.jag.2015.02.006
ISI #: 000355367900003
Rights: © 2015 Elsevier B.V. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2016
Appears in Collections:Research publications

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