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Phenopix: A R package for image-based vegetation phenology.
- Source :
-
Agricultural & Forest Meteorology . Apr2016, Vol. 220, p141-150. 10p. - Publication Year :
- 2016
-
Abstract
- In this paper we extensively describe new software available as a R package that allows for the extraction of phenological information from time-lapse digital photography of vegetation cover. The phenopix R package includes all steps in data processing. It enables the user to: draw a region of interest (ROI) on an image; extract red green and blue digital numbers (DN) from a seasonal series of images; depict greenness index trajectories; fit a curve to the seasonal trajectories; extract relevant phenological thresholds (phenophases); extract phenophase uncertainties. The software capabilities are illustrated by analyzing one year of data from a selection of seven sites belonging to the PhenoCam network ( http://phenocam.sr.unh.edu/ ), including an unmanaged subalpine grassland, a tropical grassland, a deciduous needle-leaf forest, three deciduous broad-leaf temperate forests and an evergreen needle-leaf forest. One of the novelties introduced by the package is the spatially explicit, pixel-based analysis, which potentially allows to extract within-ecosystem or within-individual variability of phenology. We examine the relationship between phenophases extracted by the traditional ROI-averaged and the novel pixel-based approaches, and further illustrate potential applications of pixel-based image analysis available in the phenopix R package. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 01681923
- Volume :
- 220
- Database :
- Academic Search Index
- Journal :
- Agricultural & Forest Meteorology
- Publication Type :
- Academic Journal
- Accession number :
- 113280487
- Full Text :
- https://doi.org/10.1016/j.agrformet.2016.01.006