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The timing of plant development stages and their response to climate and management were investigated using a network of digital cameras installed across different European ecosystems. Using the relative red, green and blue content of images we showed that the green signal could be used to estimate the length of the growing season in broadleaf forests. We also developed a model that predicted the seasonal variations of camera RGB signals and how they relate to leaf pigment content and area well.
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Articles | Volume 12, issue 20
Biogeosciences, 12, 5995–6015, 2015
https://doi.org/10.5194/bg-12-5995-2015

Special issue: EUROSPEC – spectral sampling tools for vegetation biophysical...

Biogeosciences, 12, 5995–6015, 2015
https://doi.org/10.5194/bg-12-5995-2015

Research article 21 Oct 2015

Research article | 21 Oct 2015

Interpreting canopy development and physiology using a European phenology camera network at flux sites

L. Wingate et al.

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Ahrends, H. A., Etzold, S., Kutsch, W., Stoeckli, R., Bruegger, R., Jeanneret, F., Wanner, H., Buchmann, N., and Eugster, W.: Tree phenology and carbon dioxide fluxes: use of digital photography for process-based interpretation at the ecosystem scale, Clim. Res., 39, 261–274, 2009.
Aono, Y. and Kazui, K.: Phenological data series of cherry tree flowering in Kyoto, Japan, and its application to reconstruction of springtime temperatures since the 9th century, Int. J. Climatol., 28, 905–914, 2008.
Archetti, M.: Phylogenetic analysis reveals a scattered distribution of autumn colours, Ann. Bot., 103, 703–713, 2009.
Aubinet, M., Moureaux, C., Bodson, B., Dufranne, D., Heinesch, B., Suleau, M., Vancutsem, F., and Vilret, A.: Carbon sequestration by a crop over a 4-year sugar beet/winter wheat/seed potato/winter wheat rotation cycle, Agr. Forest Meteorol., 149, 407–418, https://doi.org/10.1016/j.agrformet.2008.09.003, 2009.
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Short summary
The timing of plant development stages and their response to climate and management were investigated using a network of digital cameras installed across different European ecosystems. Using the relative red, green and blue content of images we showed that the green signal could be used to estimate the length of the growing season in broadleaf forests. We also developed a model that predicted the seasonal variations of camera RGB signals and how they relate to leaf pigment content and area well.
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Final-revised paper
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