Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
International audience Monitoring 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 wi...
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Online Access: | https://hal.inrae.fr/hal-02619925 https://hal.inrae.fr/hal-02619925/document https://hal.inrae.fr/hal-02619925/file/2019_Seyednasrollah_SD_1.pdf https://doi.org/10.1038/s41597-019-0229-9 |
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ftccsdartic:oai:HAL:hal-02619925v1 2023-05-15T18:40:26+02:00 Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Milliman, Tom Friedl, Mark A. Frolking, Steve Richardson, Andrew D. School of Informatics, Computing, and Cyber Systems (SICCS) Northern Arizona University Flagstaff Department of Organismic and Evolutionary Biology Harvard University Cambridge Interactions Sol Plante Atmosphère (UMR ISPA) Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro) Faculty of Bioscience Engineering Universiteit Gent = Ghent University Belgium (UGENT) University of New Hampshire (UNH) Department of Earth and Environment Boston Boston University Boston (BU) 2019 https://hal.inrae.fr/hal-02619925 https://hal.inrae.fr/hal-02619925/document https://hal.inrae.fr/hal-02619925/file/2019_Seyednasrollah_SD_1.pdf https://doi.org/10.1038/s41597-019-0229-9 en eng HAL CCSD Nature Publishing Group info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-019-0229-9 info:eu-repo/semantics/altIdentifier/pmid/31641140 hal-02619925 https://hal.inrae.fr/hal-02619925 https://hal.inrae.fr/hal-02619925/document https://hal.inrae.fr/hal-02619925/file/2019_Seyednasrollah_SD_1.pdf doi:10.1038/s41597-019-0229-9 PRODINRA: 488800 PUBMED: 31641140 WOS: 000492025600008 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2052-4463 EISSN: 2052-4463 Scientific Data https://hal.inrae.fr/hal-02619925 Scientific Data , Nature Publishing Group, 2019, 6 (1), pp.1-11. ⟨10.1038/s41597-019-0229-9⟩ [SDV]Life Sciences [q-bio] [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2019 ftccsdartic https://doi.org/10.1038/s41597-019-0229-9 2021-11-07T01:06:22Z International audience Monitoring 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 Article in Journal/Newspaper Tundra Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Scientific Data 6 1 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[SDV]Life Sciences [q-bio] [SDE]Environmental Sciences |
spellingShingle |
[SDV]Life Sciences [q-bio] [SDE]Environmental Sciences Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Milliman, Tom Friedl, Mark A. Frolking, Steve Richardson, Andrew D. Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset |
topic_facet |
[SDV]Life Sciences [q-bio] [SDE]Environmental Sciences |
description |
International audience Monitoring 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 |
author2 |
School of Informatics, Computing, and Cyber Systems (SICCS) Northern Arizona University Flagstaff Department of Organismic and Evolutionary Biology Harvard University Cambridge Interactions Sol Plante Atmosphère (UMR ISPA) Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro) Faculty of Bioscience Engineering Universiteit Gent = Ghent University Belgium (UGENT) University of New Hampshire (UNH) Department of Earth and Environment Boston Boston University Boston (BU) |
format |
Article in Journal/Newspaper |
author |
Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Milliman, Tom Friedl, Mark A. Frolking, Steve Richardson, Andrew D. |
author_facet |
Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Milliman, Tom Friedl, Mark A. Frolking, Steve Richardson, Andrew D. |
author_sort |
Seyednasrollah, Bijan |
title |
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset |
title_short |
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset |
title_full |
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset |
title_fullStr |
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset |
title_full_unstemmed |
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset |
title_sort |
tracking vegetation phenology across diverse biomes using version 2.0 of the phenocam dataset |
publisher |
HAL CCSD |
publishDate |
2019 |
url |
https://hal.inrae.fr/hal-02619925 https://hal.inrae.fr/hal-02619925/document https://hal.inrae.fr/hal-02619925/file/2019_Seyednasrollah_SD_1.pdf https://doi.org/10.1038/s41597-019-0229-9 |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
ISSN: 2052-4463 EISSN: 2052-4463 Scientific Data https://hal.inrae.fr/hal-02619925 Scientific Data , Nature Publishing Group, 2019, 6 (1), pp.1-11. ⟨10.1038/s41597-019-0229-9⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41597-019-0229-9 info:eu-repo/semantics/altIdentifier/pmid/31641140 hal-02619925 https://hal.inrae.fr/hal-02619925 https://hal.inrae.fr/hal-02619925/document https://hal.inrae.fr/hal-02619925/file/2019_Seyednasrollah_SD_1.pdf doi:10.1038/s41597-019-0229-9 PRODINRA: 488800 PUBMED: 31641140 WOS: 000492025600008 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1038/s41597-019-0229-9 |
container_title |
Scientific Data |
container_volume |
6 |
container_issue |
1 |
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1766229784437719040 |