*
 

iForest - Biogeosciences and Forestry

*

Thermal canopy photography in forestry - an alternative to optical cover photography

Nils Nölke   , Philip Beckschäfer, Christoph Kleinn

iForest - Biogeosciences and Forestry, Volume 8, Issue 1, Pages 1-5 (2015)
doi: https://doi.org/10.3832/ifor1129-007
Published: May 07, 2014 - Copyright © 2015 SISEF

Technical Advances


Hemispherical canopy photography is a widely used technique to observe crown-related forest variables. However, standardization of this technique remains challenging, as exposure and threshold settings continue to constitute the main sources of variation of such photographs. This paper, therefore, presents a new method to overcome standardization issues by using thermal canopy photography. With a thermal camera, images are produced which are not critically limited in their dynamic range so that photographic exposure becomes irrelevant. Moreover, the high temperature contrast between “sky” and “non-sky”, resulting from extreme low sky temperatures, facilitates the unambiguous selection of a threshold which separates “sky” from “non-sky” pixels. For our comparison, we have taken canopy images with a high-resolution thermal camera (VarioCam hr head [Infratec, Dresden, Germany]) and an optical camera (Nikon D70s). The correlation of canopy closure values derived from the image pairs was r = 0.98. Our findings thus show that thermal canopy photography is a promising and simple to use alternative to optical canopy photography, because it limits possible sources of variability, since exposure settings and threshold definition cease to be an issue.

  Keywords


Hemispherical Photographs, Exposure, Thresholding, Thermal Images, Canopy Structure

Authors’ address

(1)
Nils Nölke
Philip Beckschäfer
Christoph Kleinn
Chair of Forest Inventory and Remote Sensing, Georg-August-Universität Göttingen, Büsgenweg 5, D-37077 Göttingen (Germany)

Corresponding author

 
Nils Nölke
nnoelke@gwdg.de

Citation

Nölke N, Beckschäfer P, Kleinn C (2015). Thermal canopy photography in forestry - an alternative to optical cover photography. iForest 8: 1-5. - doi: 10.3832/ifor1129-007

Academic Editor

Francesco Ripullone

Paper history

Received: Sep 17, 2013
Accepted: Mar 13, 2014

First online: May 07, 2014
Publication Date: Feb 02, 2015
Publication Time: 1.83 months

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 47349
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 39905
Abstract Page Views: 1820
PDF Downloads: 4469
Citation/Reference Downloads: 29
XML Downloads: 1126

Web Metrics
Days since publication: 3641
Overall contacts: 47349
Avg. contacts per week: 91.03

Article Citations

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)

Total number of cites (since 2015): 2
Average cites per year: 0.22

 

Publication Metrics

by Dimensions ©

Articles citing this article

List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Beaudet M, Messier C (2002)
Variation in canopy openness and light transmission following selection cutting in northern hardwood stands: an assessment based on hemispherical photographs. Agricultural and Forest Meteorology 110: 217-228.
CrossRef | Gscholar
(2)
Beckschäfer P, Seidel D, Kleinn C, Xu J (2013)
On the exposure of hemispherical photographs in forests. iForest 6: 228-237.
CrossRef | Gscholar
(3)
Beckschäfer P, Fehrmann L, Harrison RD, Xu J, Kleinn C (2014)
Mapping Leaf Area Index in subtropical upland ecosystems using RapidEye imagery and the randomForest algorithm. IForest 7: 1-11.
CrossRef | Gscholar
(4)
Chen J, Black T, Adams R (1991)
Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand. Agricultural and Forest Meteorology 56: 129-143.
CrossRef | Gscholar
(5)
Chianucci F, Cutini A (2012)
Digital hemispherical photography for estimating forest canopy properties: current controversies and opportunities. iForest 5 (6): 290-295.
CrossRef | Gscholar
(6)
Chianucci F, Cutini A (2013)
Estimation of canopy properties in deciduous forests with digital hemispherical and cover photography. Agricultural and Forest Meteorology 168: 130-139.
CrossRef | Gscholar
(7)
Englund SR, O’Brien JJ, Clark DB (2000)
Evaluation of digital and film hemispherical photography and spherical densitometry for measuring forest light environments. Canadian Journal of Forest Research 30 (12): 1999-2005.
CrossRef | Gscholar
(8)
Frazer G, Fournier R, Trofymow J, Hall R (2001)
A comparison of digital and film fisheye photography for analysis of forest canopy structure and gap light transmission. Agricultural and Forest Meteorology 109: 249-263.
CrossRef | Gscholar
(9)
Hale SE, Edwards C (2002)
Comparison of film and digital hemispherical photography across a wide range of canopy densities. Agricultural and Forest Meteorology 112: 51-56.
CrossRef | Gscholar
(10)
Jonckheere I, Fleck S, Nackaerts K, Muys B, Coppin P, Weiss M, Baret F (2004)
Review of methods for in situ leaf area index determination: Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology 121: 19-35.
CrossRef | Gscholar
(11)
Jonckheere I, Nackaerts K, Muys B, Coppin P (2005)
Assessment of automatic gap fraction estimation of forests from digital hemispherical photography. Agricultural and Forest Meteorology 132: 96-114.
CrossRef | Gscholar
(12)
Leblanc SG, Chen JM, Fernandes R, Deering DW, Conley A (2005)
Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests. Agricultural and Forest Meteorology 129: 187-207.
CrossRef | Gscholar
(13)
Leuzinger S, Vogt R, Körner C (2010)
Tree surface temperature in an urban environment. Agricultural and Forest Meteorology 150: 56-62.
CrossRef | Gscholar
(14)
Macfarlane C, Coote M, White D, Adams M (2000)
Photographic exposure affects indirect estimation of leaf area in plantations of Eucalyptus globulus Labill. Agricultural and Forest Meteorology 100: 155-168.
CrossRef | Gscholar
(15)
Macfarlane C, Grigg A, Evangelista C (2007a)
Estimating forest leaf area using cover and fullframe fisheye photography: thinking inside the circle. Agricultural and Forest Meteorology 146: 1-12.
CrossRef | Gscholar
(16)
Macfarlane C, Hoffman M, Eamus D, Kerp N, Higginson S, McMurtrie R, Adams MA (2007b)
Estimation of leaf area index in eucalypt forest using digital photography. Agricultural and Forest Meteorology 143: 176-188.
CrossRef | Gscholar
(17)
Macfarlane C (2011)
Classification method of mixed pixels does not affect canopy metrics from digital images of forest overstorey. Agricultural and Forest Meteorology 151: 833-840.
CrossRef | Gscholar
(18)
Matsumoto K, Ohta T, Tanaka T (2005)
Dependence of stomatal conductance on leaf chlorophyll concentration and meteorological variables. Agricultural and Forest Meteorology 132: 44-57.
CrossRef | Gscholar
(19)
Nobis M, Hunziker U (2005)
Automatic thresholding for hemispherical canopy-photographs based on edge detection. Agricultural and Forest Meteorology 128: 243-250.
CrossRef | Gscholar
(20)
Pekin B, Macfarlane C (2009)
Measurement of crown cover and leaf area index using digital cover photography and its application to remote sensing. Remote Sensing 1: 1298-1320.
CrossRef | Gscholar
(21)
Prewitt JMS, Medelsohn ML (1966)
The analysis of cell images. Annals of the New York Academy of Sciences 128: 1035-1053.
CrossRef | Gscholar
(22)
R Core Team (2013)
R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Online | Gscholar
(23)
Rich P (1989)
A manual for analysis of hemispherical canopy photography. Technical Report, Los Alamos National Lab, Los Alamos, NM, USA, pp. 82.
Gscholar
(24)
Rich P (1990)
Characterizing plant canopies with hemispherical photographs. Remote Sensing Reviews 5: 13-29.
CrossRef | Gscholar
(25)
Rubio E, Caselles V, Badenas C (1997)
Emissivity measurements of several soils and vegetation types in the 8-14 μm wave band: analysis of two field methods. Remote Sensing of Environment 59: 490-521.
CrossRef | Gscholar
(26)
Ryu Y, Sonnentag O, Nilson T, Vargas R, Kobayashi H, Wenk R, Baldocchi DD (2010)
How to quantify tree leaf area index in an open savanna ecosystem: a multi-instrument and multi-model approach. Agricultural and Forest Meteorology 150 (1): 63-76.
CrossRef | Gscholar
(27)
Schneider CA, Rasband WS, Eliceiri KW (2012)
NIH Image to ImageJ: 25 years of image analysis. Nature Methods 9: 671-675.
CrossRef | Gscholar
(28)
Sklyar O, Huber W, Smith M (2007)
EBImage: Image processing and image analysis toolkit for R. R package version 2, web site.
Online | Gscholar
(29)
Van Pelt R, Franklin JF (2000)
Influence of canopy structure on the understory environment in tall, old-growth, conifer forests. Canadian Journal of Forest Research 30 (8): 1231-1245.
CrossRef | Gscholar
(30)
Wagner S (1994)
Strahlungsschätzung in Wäldern durch hemisphrische Fotos. Methode und Anwendung. [Estimation of the radiation in forests by hemispheric photos. Methods and applications]. PhD thesis, University of Göttingen, Göttingen, Germany, pp. 166. [in German]
Gscholar
(31)
Wagner S (1998)
Calibration of grey values of hemispherical photographs for image analysis. Agricultural and Forest Meteorology 90: 103-117.
CrossRef | Gscholar
(32)
Zhang Y, Chen J, Miller J (2005)
Determining digital hemispherical photograph exposure for leaf area index estimation. Agricultural and Forest Meteorology 133 (1-4): 166-181.
CrossRef | Gscholar
(33)
Zou CB, Barron-Gafford GA, Breshears DD (2007)
Effects of topography and woody plant canopy cover on near-ground solar radiation: Relevant energy inputs for ecohydrology and hydropedology. Geophysical Research Letters 34 (24): L24S21 .
CrossRef | Gscholar
 

This website uses cookies to ensure you get the best experience on our website. More info