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Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset

hal.structure.identifierSchool of Informatics, Computing, and Cyber Systems [SICCS]
hal.structure.identifierNorthern Arizona University [Flagstaff]
hal.structure.identifierDepartment of Organismic and Evolutionary Biology
dc.contributor.authorSEYEDNASROLLAH, Bijan
hal.structure.identifierSchool of Informatics, Computing, and Cyber Systems [SICCS]
hal.structure.identifierNorthern Arizona University [Flagstaff]
dc.contributor.authorYOUNG, Adam M.
hal.structure.identifierInteractions Sol Plante Atmosphère [UMR ISPA]
hal.structure.identifierFaculty of Bioscience Engineering
dc.contributor.authorHUFKENS, Koen
hal.structure.identifierUniversity of New Hampshire [UNH]
dc.contributor.authorMILLIMAN, Tom
hal.structure.identifierDepartment of Earth and Environment [Boston]
dc.contributor.authorFRIEDL, Mark A.
hal.structure.identifierUniversity of New Hampshire [UNH]
dc.contributor.authorFROLKING, Steve
hal.structure.identifierSchool of Informatics, Computing, and Cyber Systems [SICCS]
hal.structure.identifierNorthern Arizona University [Flagstaff]
dc.contributor.authorRICHARDSON, Andrew D.
dc.date.accessioned2024-04-08T12:06:39Z
dc.date.available2024-04-08T12:06:39Z
dc.date.issued2019
dc.identifier.issn2052-4463
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/196418
dc.description.abstractEnMonitoring vegetation phenology is critical for quantifying climate change impacts on ecosystems. We present an extensive dataset of 1783 site-years of phenological data derived from PhenoCam network imagery from 393 digital cameras, situated from tropics to tundra across a wide range of plant functional types, biomes, and climates. Most cameras are located in North America. Every half hour, cameras upload images to the PhenoCam server. Images are displayed in near-real time and provisional data products, including timeseries of the Green Chromatic Coordinate (Gcc), are made publicly available through the project web page (https://phenocam.sr.unh.edu/webcam/gallery/). Processing is conducted separately for each plant functional type in the camera field of view. The PhenoCam Dataset v2.0, described here, has been fully processed and curated, including outlier detection and expert inspection, to ensure high quality data. This dataset can be used to validate satellite data products, to evaluate predictions of land surface models, to interpret the seasonality of ecosystem-scale CO2 and H2O flux data, and to study climate change impacts on the terrestrial biosphere. Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.9913694
dc.language.isoen
dc.publisherNature Publishing Group
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enTracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
dc.typeArticle de revue
dc.typeData paper
dc.identifier.doi10.1038/s41597-019-0229-9
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences de l'environnement
bordeaux.journalScientific Data
bordeaux.page1-11
bordeaux.volume6
bordeaux.hal.laboratoriesInteractions Soil Plant Atmosphere (ISPA) - UMR 1391*
bordeaux.issue1
bordeaux.institutionBordeaux Sciences Agro
bordeaux.institutionINRAE
bordeaux.peerReviewedoui
hal.identifierhal-02619925
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02619925v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Scientific%20Data&rft.date=2019&rft.volume=6&rft.issue=1&rft.spage=1-11&rft.epage=1-11&rft.eissn=2052-4463&rft.issn=2052-4463&rft.au=SEYEDNASROLLAH,%20Bijan&YOUNG,%20Adam%20M.&HUFKENS,%20Koen&MILLIMAN,%20Tom&FRIEDL,%20Mark%20A.&rft.genre=article&unknown


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