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.

doi:10.1038/s41597-019-0229-9

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

Journal Article · Tue Oct 22 00:00:00 EDT 2019 · Scientific Data

DOI:https://doi.org/10.1038/s41597-019-0229-9· OSTI ID:1802809

^[1]; ^[2]; ^[3]; ^[4]; ^[5]; ^[6]; Richardson, Andrew D. ^[2]

Northern Arizona Univ., Flagstaff, AZ (United States). School of Informatics, Computing, and Cyber Systems; Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society; Harvard Univ., Cambridge, MA (United States). Dept. of Organismic and Evolutionary Biology; OSTI
Northern Arizona Univ., Flagstaff, AZ (United States). School of Informatics, Computing, and Cyber Systems; Northern Arizona Univ., Flagstaff, AZ (United States). Center for Ecosystem Science and Society
Ghent Univ., Ghent (Belgium). Faculty of Bioscience Engineering; National Centre for Scientific Research-Mixed Organizations (CNRS-UMR), Paris (France)
Univ. of New Hampshire, Durham, NH (United States). Earth Systems Research Center
Boston Univ., MA (United States). Dept. of Earth and Environment
Univ. of New Hampshire, Durham, NH (United States). Earth Systems Research Center

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.

View Accepted Manuscript (DOE)

Research Organization:: Princeton Univ., NJ (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: SC0016011

OSTI ID:: 1802809

Journal Information:: Scientific Data, Journal Name: Scientific Data Journal Issue: 1 Vol. 6; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Metadata record for: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Seyednasrollah, Bijan; Young, Adam; Hufkens, Koen figshare https://doi.org/10.6084/m9.figshare.9913694.v1	dataset	January 2019
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Metadata record for: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Seyednasrollah, Bijan; Young, Adam; Hufkens, Koen https://doi.org/10.6084/m9.figshare.9913694 The current record is supplemented by this dataset	dataset	January 2020
Metadata record for: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Seyednasrollah, Bijan; Young, Adam; Hufkens, Koen https://doi.org/10.6084/m9.figshare.9913694.v1 The current record is supplemented by this dataset	dataset	January 2019
Metadata record for: Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset Seyednasrollah, Bijan; Young, Adam; Hufkens, Koen https://doi.org/10.6084/m9.figshare.9913694.v2 The current record is supplemented by this dataset	dataset	January 2020

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

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