Phenopix: A R package for image-based vegetation phenology
| hal.structure.identifier | Climate Change Unit | |
| dc.contributor.author | FILIPPA, Gianluca | |
| hal.structure.identifier | Environmental Protection Agency of Aosta Valley = Agenzia regionale protezione ambiante Valle d'Aosta [ARAP Valle Aosta] | |
| dc.contributor.author | CREMONESE, Edoardo | |
| hal.structure.identifier | Max Planck Institute for Biogeochemistry [MPI-BGC] | |
| dc.contributor.author | MIGLIAVACCA, Mirco | |
| hal.structure.identifier | Environmental Protection Agency of Aosta Valley = Agenzia regionale protezione ambiante Valle d'Aosta [ARAP Valle Aosta] | |
| dc.contributor.author | GALVAGNO, Marta | |
| hal.structure.identifier | Max Planck Institute for Biogeochemistry [MPI-BGC] | |
| dc.contributor.author | FORKEL, Matthias | |
| hal.structure.identifier | Interactions Sol Plante Atmosphère [UMR ISPA] | |
| dc.contributor.author | WINGATE, Lisa | |
| hal.structure.identifier | European Academy of Bozen-Bolzano [EURAC] | |
| dc.contributor.author | TOMELLERI, Enrico | |
| hal.structure.identifier | Environmental Protection Agency of Aosta Valley = Agenzia regionale protezione ambiante Valle d'Aosta [ARAP Valle Aosta] | |
| dc.contributor.author | MORRA DI CELLA, Umberto | |
| hal.structure.identifier | Department of Organismic and Evolutionary Biology | |
| dc.contributor.author | RICHARDSON, Andrew D. | |
| dc.date.accessioned | 2024-04-08T12:11:03Z | |
| dc.date.available | 2024-04-08T12:11:03Z | |
| dc.date.issued | 2016 | |
| dc.identifier.issn | 0168-1923 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/196671 | |
| dc.description.abstractEn | 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. | |
| dc.language.iso | en | |
| dc.publisher | Elsevier Masson | |
| dc.subject.en | image analysis | |
| dc.subject.en | community ecology | |
| dc.subject.en | pixel-based analysis | |
| dc.subject.en | phenology | |
| dc.title.en | Phenopix: A R package for image-based vegetation phenology | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1016/j.agrformet.2016.01.006 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
| bordeaux.journal | Agricultural and Forest Meteorology | |
| bordeaux.page | 141-150 | |
| bordeaux.volume | 220 | |
| bordeaux.hal.laboratories | Interactions Soil Plant Atmosphere (ISPA) - UMR 1391 | * |
| bordeaux.institution | Bordeaux Sciences Agro | |
| bordeaux.institution | INRAE | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01541143 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Non spécifiée | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01541143v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Agricultural%20and%20Forest%20Meteorology&rft.date=2016&rft.volume=220&rft.spage=141-150&rft.epage=141-150&rft.eissn=0168-1923&rft.issn=0168-1923&rft.au=FILIPPA,%20Gianluca&CREMONESE,%20Edoardo&MIGLIAVACCA,%20Mirco&GALVAGNO,%20Marta&FORKEL,%20Matthias&rft.genre=article |
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