Abstract
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.
Original language | English |
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Pages (from-to) | 67-77 |
Number of pages | 11 |
Journal | Plant Ecology and Diversity |
Volume | 4 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2011 |
Keywords / Materials (for Non-textual outputs)
- canopy phenology
- deciduous broadleaved forest
- digital image
- HSL
- RGB
- PLANT PHENOLOGY
- CLIMATE-CHANGE
- TEMPERATURE
- DATASET
- EUROPE
- SYSTEM
- CAMERA
- FOREST