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AGU: Journal of Geophysical Research, Biogeosciences

 

Keywords

  • phenology
  • spring
  • digital camera
  • image analysis
  • flux tower

Index Terms

  • Biogeosciences: Remote sensing
  • Biogeosciences: Diel, seasonal, and annual cycles
  • Biogeosciences: Ecosystems, structure and dynamics
  • Global Change: Instruments and techniques
  • Global Change: Impacts of global change
Abstract
Cited By (0)
 

Abstract

Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photography

Hella Ellen Ahrends

Institute of Geography, University of Bern, Bern, Switzerland

Robert Brügger

Institute of Geography, University of Bern, Bern, Switzerland

Reto Stöckli

Climate Analysis, Climate Services, Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland

Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado, USA

Jürg Schenk

Institute of Geography, University of Bern, Bern, Switzerland

Pavel Michna

Institute of Geography, University of Bern, Bern, Switzerland

Francois Jeanneret

Institute of Geography, University of Bern, Bern, Switzerland

Heinz Wanner

Institute of Geography, University of Bern, Bern, Switzerland

Werner Eugster

Institute of Plant Sciences, ETH Zürich, Zurich, Switzerland

Vegetation phenology has a strong influence on the timing and phase of global terrestrial carbon and water exchanges and is an important indicator of climate change and variability. In this study we tested the application of inexpensive digital visible-light cameras in monitoring phenology. A standard digital camera was mounted on a 45 m tall flux tower at the Lägeren FLUXNET/CarboEuropeIP site (Switzerland), providing hourly images of a mixed beech forest. Image analysis was conducted separately on a set of regions of interest representing two different tree species during spring in 2005 and 2006. We estimated the date of leaf emergence based on the levels of the extracted red, green and blue colors. Comparisons with validation data were in accordance with the phenology of the observed trees. The mean error of observed leaf unfolding dates compared with validation data was 3 days in 2005 and 3.6 days in 2006. An uncertainty analysis was performed and demonstrated moderate impacts on color values of changing illumination conditions due to clouds and illumination angles. We conclude that digital visible-light cameras could provide inexpensive, spatially representative and objective information with the required temporal resolution for phenological studies.

Received 12 November 2007; accepted 23 July 2008; published 9 October 2008.

Citation: Ahrends, H. E., R. Brügger, R. Stöckli, J. Schenk, P. Michna, F. Jeanneret, H. Wanner, and W. Eugster (2008), Quantitative phenological observations of a mixed beech forest in northern Switzerland with digital photography, J. Geophys. Res., 113, G04004, doi:10.1029/2007JG000650.

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