Articles | Volume 17, issue 11
https://doi.org/10.5194/essd-17-6531-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-6531-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Tracking vegetation phenology across diverse biomes using Version 3.0 of the PhenoCam Dataset
Adam M. Young
CORRESPONDING AUTHOR
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
Thomas Milliman
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
Earth Systems Research Center, University of New Hampshire, Durham, NH, USA
Koen Hufkens
BlueGreen Labs (BV), Melsele, Belgium
Keith L. Ballou
Information Technology Services, Northern Arizona University, Flagstaff, AZ, USA
Christopher Coffey
Information Technology Services, Northern Arizona University, Flagstaff, AZ, USA
Kai Begay
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
Michael Fell
Information Technology Services, Northern Arizona University, Flagstaff, AZ, USA
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
Mostafa Javadian
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
Alison K. Post
Cooperative Institute for Research in Environmental Sciences, Earth Lab, University of Colorado Boulder, Boulder, CO, USA
Christina Schädel
Woodwell Climate Research Center, Falmouth, MA, USA
Zakary Vladich
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
Oscar Zimmerman
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
Dawn M. Browning
USDA ARS, Jornada Experimental Range, Las Cruces, NM, USA
Christopher R. Florian
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Minkyu Moon
Department of Environmental Science, Kangwon National University, Chuncheon, South Korea
Michael D. SanClements
National Ecological Observatory Network, Battelle, Boulder, CO, USA
Bijan Seyednasrollah
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
Mark A. Friedl
Department of Earth and Environment, Boston University, Boston, MA, USA
Andrew D. Richardson
Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA
School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
Data sets
PhenoCam Dataset v3.0: Digital Camera Imagery from the PhenoCam Network, 2000-2023 K. Ballou et al. https://doi.org/10.3334/ORNLDAAC/2364
PhenoCam Dataset v3.0: Vegetation Phenology from Digital Camera Imagery, 2000-2023 O. Zimmerman et al. https://doi.org/10.3334/ORNLDAAC/2389
Short summary
Here, we describe the PhenoCam V3.0 public data release, which characterizes vegetation phenology in ecosystems across the US and globally using repeat digital photography. This V3.0 release includes new data records (a camera-derived normalized difference vegetation index and simplified data sets) and provides >4800 site years of phenological time series and transition dates, a 170 % increase relative to the previous release (V2.0). Over 450 of the time series are 5 years or longer in length.
Here, we describe the PhenoCam V3.0 public data release, which characterizes vegetation...
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