Abstract

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.

Alternate abstract:

Measurement(s)plant phenological trait • plant greennessTechnology Type(s)digital cameraSample Characteristic - OrganismEmbryophytaSample Characteristic - Environmentterrestrial biomeSample Characteristic - LocationEarth (planet)

Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.9913694

Details

Title
Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset
Author
Seyednasrollah, Bijan 1   VIAFID ORCID Logo  ; Young, Adam M 2   VIAFID ORCID Logo  ; Hufkens, Koen 3   VIAFID ORCID Logo  ; Milliman, Tom 4   VIAFID ORCID Logo  ; Friedl, Mark A 5   VIAFID ORCID Logo  ; Frolking, Steve 4   VIAFID ORCID Logo  ; Richardson, Andrew D 2 

1  Northern Arizona University, School of Informatics, Computing, and Cyber Systems, Flagstaff, AZ, USA; Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, USA; Harvard University, Department of Organismic and Evolutionary Biology, Cambridge, MA, USA 
2  Northern Arizona University, School of Informatics, Computing, and Cyber Systems, Flagstaff, AZ, USA; Northern Arizona University, Center for Ecosystem Science and Society, Flagstaff, AZ, USA 
3  Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium; INRA, UMR ISPA, Villenave d’Ornon, France 
4  University of New Hampshire, Earth Systems Research Center, Durham, NH, USA 
5  Boston University, Department of Earth and Environment, Boston, MA, USA 
Pages
1-11
Publication year
2019
Publication date
Dec 2019
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41597-019-0229-9
ProQuest document ID
2309512130
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.