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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

Leaf cooling curves: measuring leaf temperature in sunlight

Andrea Leigh A D , John D. Close B , Marilyn C. Ball C , Katharina Siebke C and Adrienne B. Nicotra A
+ Author Affiliations
- Author Affiliations

A School of Botany and Zoology, The Australian National University, Canberra, ACT 0200, Australia.

B Department of Physics and the Australian Centre for Quantum Atom Optics, The Australian National University, Canberra, ACT 0200, Australia.

C Ecosystem Dynamics, Research School of Biological Sciences, The Australian National University, Canberra, ACT 0200, Australia.

D Corresponding author. Email: andrea.leigh@anu.edu.au

E This paper originates from a presentation at ECOFIZZ 2005, North Stradbroke Island, Queensland, Australia, November 2005.

Functional Plant Biology 33(5) 515-519 https://doi.org/10.1071/FP05300
Submitted: 12 December 2005  Accepted: 14 March 2006   Published: 2 May 2006

Abstract

Despite the obvious benefits of using thermography under field conditions, most infrared studies at the leaf level are generally conducted in the laboratory. One reason for this bias is that accuracy can potentially be compromised in sunlight because reflected radiation from the leaf might affect the calculation of the temperature measurement. We have developed a method for measuring leaf temperature in sunlight by using thermal imagery to generate cooling curves from which the time constant for cooling, τ, can be calculated. The original temperature of the sunlit leaf may be determined by extrapolating backwards in time. In the absence of specular reflection, there is close agreement between the extrapolated sunlit temperature and the sunlit temperature recorded by the camera. However, when reflected radiation is high, the difference between the initial (incorrect) temperature determined from the sunlit image and the temperature extrapolated from the cooling curve can be > 2°C. Notably, our results demonstrate a close agreement between the extrapolated sunlit temperature and the temperature of the leaf approximately 1 s after being shaded, suggesting that this shaded image provides a good estimate of the original sunlit temperature. Thus, our technique provides two means for measuring leaf surface temperature in sunlight.

Keywords: infrared imaging, reflected radiation, specular reflection, thermography, time constant.


Acknowledgments

The authors thank the Royal Botanic Gardens and Domain Trust, Mount Annan Botanic Gardens, Mount Annan, New South Wales for allowing access to the plants used for the field component of this research. We also thank two anonymous reviewers for helpful comments on an earlier version of this manuscript. This work was supported by an Australian Geographic research grant and an Australian Postgraduate Award to A Leigh and by an Australian Research Council grant to AB Nicotra, CD Schlichting and CS Jones.


References


Ball MC, Wolfe J, Canny M, Hofmann M, Nicotra AB, Hughes D (2002) Space and time dependence of temperature and freezing in evergreen leaves. Functional Plant Biology 29, 1259–1272.
Crossref | GoogleScholarGoogle Scholar | open url image1

Fuchs M (1990) Infrared measurements of canopy temperature and detection of plant water stress. Theoretical and Applied Climatology 42, 253–261.
Crossref | GoogleScholarGoogle Scholar | open url image1

Fuchs M, Kanemasu ET, Kerr JP, Tanner CB (1967) Effect of viewing angle on canopy temperature measurements with infrared thermometers. Agronomy Journal 59, 494–496. open url image1

Jackson RD, Reginato RJ, Pinter PJ, Idso SB (1979) Plant canopy information extraction from composite scene reflectance of row crops. Applied Optics 18, 3775–3782. open url image1

Jones HG (1992) ‘Plants and microclimate: a quantitative approach to environmental plant physiology.’ 2nd edn. (Cambridge University Press: Cambridge)

Jones HG (1999) Use of thermography for quantitative studies of spatial and temporal variation of stomatal conductance over leaf surfaces. Plant, Cell & Environment 22, 1043–1055.
Crossref | GoogleScholarGoogle Scholar | open url image1

Jones HG, Stoll M, Santos T, de Sousa C, Chaves MM, Grant OM (2002) Use of infrared thermography for monitoring stomatal closure in the field: application to grapevine. Journal of Experimental Botany 53, 2249–2260.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Kimes DS, Smith JA, Link LE (1981) Thermal IR exitance model of a plant canopy. Applied Optics 20, 623–632. open url image1

Kummerlen B , Dauwe S , Schmundt D , Schurr U (1999) Thermography to measure water relations of plant leaves. In ‘Handbook of computer vision and applications’. pp. 763–781. (Academic Press: Heidelberg)

Luquet D, Begue A, Vidal A, Clouvel P, Dauzat J, Olioso A, Gu XF, Tao Y (2003) Using multidirectional thermography to characterize water status of cotton. Remote Sensing of Environment 84, 411–421.
Crossref | GoogleScholarGoogle Scholar | open url image1

Nielsen DC, Clawson KL, Blad BL (1984) Effect of solar azimuth and infrared thermometer view direction on measured soybean canopy temperature. Agronomy Journal 76, 607–610. open url image1

Paw U KT, Ustin SL, Zhang CA (1989) Anisotropy of thermal infrared exitance in sunflower canopies. Agricultural and Forest Meteorology 48, 45–58.
Crossref | GoogleScholarGoogle Scholar | open url image1

Prytz G, Futsaether CM, Johnsson A (2003) Thermography studies of the spatial and temporal variability in stomatal conductance of Avena leaves during stable and oscillatory transpiration. New Phytologist 158, 249–258.
Crossref | GoogleScholarGoogle Scholar | open url image1

Vollmer M , Henke S , Karstädt D , Möllmann K-P , Pinno F (2004) Identification and suppression of thermal reflections in infrared thermal imaging. In ‘Proccedings of InfraMation 2004’. (Infrared Training Centre: Boston)

Zwieniecki MA, Boyce CK, Holbrook NM (2004) Hydraulic limitations imposed by crown placement determine final size and shape of Quercus rubra L. leaves. Plant, Cell & Environment 27, 357–365.
Crossref | GoogleScholarGoogle Scholar | open url image1