Journal
PLANT ECOLOGY & DIVERSITY
Volume 4, Issue 1, Pages 67-77Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/17550874.2011.563759
Keywords
canopy phenology; deciduous broadleaved forest; digital image; HSL; RGB
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Funding
- British Embassy, Tokyo
- British Council
- Japan Society for the Promotion of Science [19688012]
- Microsoft Research
- Natural Environment Research Council [NE/G014418/1]
- NERC [NE/G014418/1] Funding Source: UKRI
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Background: To understand how forests and woodland respond to global climate change, phenological observations are being made at a number of sites worldwide. Recently, digital cameras have been deployed as part of the existing network of ecosystem CO2 flux towers to provide a time-series of canopy images, and various numerical indices have so far been used by different authors. Aims: To identify which are the most effective colour indices to calculate from the signals extracted from digital cameras, in order to provide recommendations to the scientific community. Methods: Sample images of a Japanese beech (Fagus crenata) forest on Mt. Tsukuba (Japan) were used to define and calculate 12 colour signals and vegetation indices. Results: Although the strength of green signal and green excess index were reliable indicators for estimating foliage growth period, the indices were susceptible to low-visibility weather conditions and distance from the camera. Hue provided a robust metric, showing much less scatter during the vegetative period and a good indication of spring bud break. The bud break dates derived from the indices were slightly earlier than those assessed by visual observation, while the abscission dates were later. Conclusions: We propose that of all the candidate colour indices, hue is the most promising for the detection of bud break as it was least affected by atmospheric conditions.
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