Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
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 funct...
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ftosti:oai:osti.gov:1802809 2023-07-30T04:07:20+02:00 Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Ghent Univ., Ghent . Faculty of Bioscience Engineering; National Centre for Scientific Research-Mixed Organizations , Paris Milliman, Tom Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Friedl, Mark A. Boston Univ., MA . Dept. of Earth and Environment Frolking, Steve Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Richardson, Andrew D. Northern Arizona Univ., Flagstaff, AZ . School of Informatics, Computing, and Cyber Systems Northern Arizona Univ., Flagstaff, AZ . Center for Ecosystem Science and Society 2023-07-04 application/pdf http://www.osti.gov/servlets/purl/1802809 https://www.osti.gov/biblio/1802809 https://doi.org/10.1038/s41597-019-0229-9 unknown http://www.osti.gov/servlets/purl/1802809 https://www.osti.gov/biblio/1802809 https://doi.org/10.1038/s41597-019-0229-9 doi:10.1038/s41597-019-0229-9 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.1038/s41597-019-0229-9 2023-07-11T10:04:50Z 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 CO 2 and H 2 O flux data, and to study climate change impacts on the terrestrial biosphere. Other/Unknown Material Tundra SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Scientific Data 6 1 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Ghent Univ., Ghent . Faculty of Bioscience Engineering; National Centre for Scientific Research-Mixed Organizations , Paris Milliman, Tom Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Friedl, Mark A. Boston Univ., MA . Dept. of Earth and Environment Frolking, Steve Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Richardson, Andrew D. Northern Arizona Univ., Flagstaff, AZ . School of Informatics, Computing, and Cyber Systems Northern Arizona Univ., Flagstaff, AZ . Center for Ecosystem Science and Society Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset |
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54 ENVIRONMENTAL SCIENCES |
description |
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 CO 2 and H 2 O flux data, and to study climate change impacts on the terrestrial biosphere. |
author |
Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Ghent Univ., Ghent . Faculty of Bioscience Engineering; National Centre for Scientific Research-Mixed Organizations , Paris Milliman, Tom Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Friedl, Mark A. Boston Univ., MA . Dept. of Earth and Environment Frolking, Steve Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Richardson, Andrew D. Northern Arizona Univ., Flagstaff, AZ . School of Informatics, Computing, and Cyber Systems Northern Arizona Univ., Flagstaff, AZ . Center for Ecosystem Science and Society |
author_facet |
Seyednasrollah, Bijan Young, Adam M. Hufkens, Koen Ghent Univ., Ghent . Faculty of Bioscience Engineering; National Centre for Scientific Research-Mixed Organizations , Paris Milliman, Tom Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Friedl, Mark A. Boston Univ., MA . Dept. of Earth and Environment Frolking, Steve Univ. of New Hampshire, Durham, NH . Earth Systems Research Center Richardson, Andrew D. Northern Arizona Univ., Flagstaff, AZ . School of Informatics, Computing, and Cyber Systems Northern Arizona Univ., Flagstaff, AZ . Center for Ecosystem Science and Society |
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 |
publishDate |
2023 |
url |
http://www.osti.gov/servlets/purl/1802809 https://www.osti.gov/biblio/1802809 https://doi.org/10.1038/s41597-019-0229-9 |
genre |
Tundra |
genre_facet |
Tundra |
op_relation |
http://www.osti.gov/servlets/purl/1802809 https://www.osti.gov/biblio/1802809 https://doi.org/10.1038/s41597-019-0229-9 doi:10.1038/s41597-019-0229-9 |
op_doi |
https://doi.org/10.1038/s41597-019-0229-9 |
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Scientific Data |
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6 |
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1 |
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1772820595549929472 |