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

Title: 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
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)

Cite

Export

Save

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, Vol. 6, Issue 1; ISSN 2052-4463

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

References (47)

Productivity of North American grasslands is increased under future climate scenarios despite rising aridity Hufkens, Koen; Keenan, Trevor F.; Flanagan, Lawrence B. Nature Climate Change, Vol. 6, Issue 7 https://doi.org/10.1038/nclimate2942	journal	February 2016
Interpreting canopy development and physiology using a European phenology camera network at flux sites Wingate, Lisa; Ogée, Jérôme; Cremonese, Edoardo ETH Zurich https://doi.org/10.3929/ethz-b-000106268	text	January 2015
Detecting Energy-Balance Modifications at the Onset of Spring Schwartz, Mark D.; Crawford, Todd M. Physical Geography, Vol. 22, Issue 5 https://doi.org/10.1080/02723646.2001.10642751	journal	September 2001
Review: Development of an in situ observation network for terrestrial ecological remote sensing: the Phenological Eyes Network (PEN) Nasahara, Kenlo Nishida; Nagai, Shin Ecological Research, Vol. 30, Issue 2 https://doi.org/10.1007/s11284-014-1239-x	journal	January 2015
Ecoregions of the Conterminous United States: Evolution of a Hierarchical Spatial Framework Omernik, James M.; Griffith, Glenn E. Environmental Management, Vol. 54, Issue 6 https://doi.org/10.1007/s00267-014-0364-1	journal	September 2014
From Caprio's lilacs to the USA National Phenology Network Schwartz, Mark D.; Betancourt, Julio L.; Weltzin, Jake F. Frontiers in Ecology and the Environment, Vol. 10, Issue 6 https://doi.org/10.1890/110281	journal	August 2012
Fine-scale perspectives on landscape phenology from unmanned aerial vehicle (UAV) photography Klosterman, Stephen; Melaas, Eli; Wang, Jonathan A. Agricultural and Forest Meteorology, Vol. 248 https://doi.org/10.1016/j.agrformet.2017.10.015	journal	January 2018
PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018 Seyednasrollah, B.; Young, A. M.; Hufkens, K. ORNL Distributed Active Archive Center https://doi.org/10.3334/ORNLDAAC/1674	collection	January 2019
Spatiotemporal sensitivity of thermal stress for monitoring canopy hydrological stress in near real-time Seyednasrollah, Bijan; Domec, Jean-Christophe; Clark, James S. Agricultural and Forest Meteorology, Vol. 269-270 https://doi.org/10.1016/j.agrformet.2019.02.016	journal	May 2019
Near-surface remote sensing of spatial and temporal variation in canopy phenology Richardson, Andrew D.; Braswell, Bobby H.; Hollinger, David Y. Ecological Applications, Vol. 19, Issue 6 https://doi.org/10.1890/08-2022.1	journal	September 2009
PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015 Richardson, A. D.; Hufkens, K.; Milliman, T. ORNL Distributed Active Archive Center https://doi.org/10.3334/ORNLDAAC/1511	collection	January 2017
Digital repeat photography for phenological research in forest ecosystems Sonnentag, Oliver; Hufkens, Koen; Teshera-Sterne, Cory Agricultural and Forest Meteorology, Vol. 152 https://doi.org/10.1016/j.agrformet.2011.09.009	journal	January 2012
On the uncertainty of phenological responses to climate change, and implications for a terrestrial biosphere model Migliavacca, M.; Sonnentag, O.; Keenan, T. F. Biogeosciences, Vol. 9, Issue 6 https://doi.org/10.5194/bg-9-2063-2012	journal	January 2012
Use of digital webcam images to track spring green-up in a deciduous broadleaf forest Richardson, Andrew D.; Jenkins, Julian P.; Braswell, Bobby H. Oecologia, Vol. 152, Issue 2 https://doi.org/10.1007/s00442-006-0657-z	journal	March 2007
Net carbon uptake has increased through warming-induced changes in temperate forest phenology Keenan, Trevor F.; Gray, Josh; Friedl, Mark A. Nature Climate Change, Vol. 4, Issue 7 https://doi.org/10.1038/nclimate2253	journal	June 2014
Interpreting canopy development and physiology using a European phenology camera network at flux sites Wingate, L.; Ogée, J.; Cremonese, E. Biogeosciences, Vol. 12, Issue 20 https://doi.org/10.5194/bg-12-5995-2015	journal	January 2015
Multisite analysis of land surface phenology in North American temperate and boreal deciduous forests from Landsat Melaas, Eli K.; Sulla-Menashe, Damien; Gray, Josh M. Remote Sensing of Environment, Vol. 186 https://doi.org/10.1016/j.rse.2016.09.014	journal	December 2016
Volunteer recruitment and retention in online citizen science projects using marketing strategies: lessons from Season Spotter Crall, Alycia; Kosmala, Margaret; Cheng, Rebecca Journal of Science Communication, Vol. 16, Issue 01 https://doi.org/10.22323/2.16010201	journal	January 2017
Emerging opportunities and challenges in phenology: a review Tang, Jianwu; Körner, Christian; Muraoka, Hiroyuki Ecosphere, Vol. 7, Issue 8 https://doi.org/10.1002/ecs2.1436	journal	August 2016
Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing Richardson, Andrew D.; Hufkens, Koen; Milliman, Tom Scientific Reports, Vol. 8, Issue 1 https://doi.org/10.1038/s41598-018-23804-6	journal	April 2018
Using phenocams to monitor our changing Earth: toward a global phenocam network Brown, Tim B.; Hultine, Kevin R.; Steltzer, Heidi Frontiers in Ecology and the Environment, Vol. 14, Issue 2 https://doi.org/10.1002/fee.1222	journal	March 2016
Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem Browning, Dawn; Karl, Jason; Morin, David Remote Sensing, Vol. 9, Issue 10 https://doi.org/10.3390/rs9101071	journal	October 2017
Linking plant phenology to conservation biology Morellato, Leonor Patrícia Cerdeira; Alberton, Bruna; Alvarado, Swanni T. Biological Conservation, Vol. 195 https://doi.org/10.1016/j.biocon.2015.12.033	journal	March 2016
8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network Nagai, Shin; Akitsu, Tomoko; Saitoh, Taku M. Ecological Research, Vol. 33, Issue 6 https://doi.org/10.1007/s11284-018-1633-x	journal	June 2018
The Circumpolar Arctic vegetation map Walker, Donald A.; Raynolds, Martha K.; Daniëls, Fred J. A. Journal of Vegetation Science, Vol. 16, Issue 3 https://doi.org/10.1111/j.1654-1103.2005.tb02365.x	journal	February 2005
Phenology and seasonality modeling Burgos, J. J. Agricultural Meteorology, Vol. 16, Issue 3 https://doi.org/10.1016/0002-1571(76)90016-9	journal	May 1976
Precipitation and temperature are associated with advanced flowering phenology in a semi-arid grassland Lesica, P.; Kittelson, P. M. Journal of Arid Environments, Vol. 74, Issue 9 https://doi.org/10.1016/j.jaridenv.2010.02.002	journal	September 2010
Assimilating phenology datasets automatically across ICOS ecosystem stations Hufkens, Koen; Filippa, Gianluca; Cremonese, Edoardo ETH Zurich https://doi.org/10.3929/ethz-b-000312102	text	January 2018
Testing Hopkins’ Bioclimatic Law with PhenoCam data Richardson, Andrew D.; Hufkens, Koen; Li, Xiaolu Applications in Plant Sciences, Vol. 7, Issue 3 https://doi.org/10.1002/aps3.1228	journal	March 2019
Warm spring reduced carbon cycle impact of the 2012 US summer drought Wolf, Sebastian; Keenan, Trevor F.; Fisher, Joshua B. Proceedings of the National Academy of Sciences, Vol. 113, Issue 21 https://doi.org/10.1073/pnas.1519620113	journal	April 2016
Predicting Climate Change Impacts on the Amount and Duration of Autumn Colors in a New England Forest Archetti, Marco; Richardson, Andrew D.; O'Keefe, John PLoS ONE, Vol. 8, Issue 3 https://doi.org/10.1371/journal.pone.0057373	journal	March 2013
Tracking seasonal rhythms of plants in diverse ecosystems with digital camera imagery Richardson, Andrew D. New Phytologist, Vol. 222, Issue 4 https://doi.org/10.1111/nph.15591	journal	December 2018
Assimilating phenology datasets automatically across ICOS ecosystem stations Hufkens, Koen; Filippa, Gianluca; Cremonese, Edoardo International Agrophysics, Vol. 32, Issue 4 https://doi.org/10.1515/intag-2017-0050	journal	December 2018
Climatic Consequences of Leaf Presence in the Eastern United States Fitzjarrald, David R.; Acevedo, Otávio C.; Moore, Kathleen E. Journal of Climate, Vol. 14, Issue 4 https://doi.org/10.1175/1520-0442(2001)014<0598:CCOLPI>2.0.CO;2	journal	February 2001
Monitoring vegetation phenology using MODIS Zhang, Xiaoyang; Friedl, Mark A.; Schaaf, Crystal B. Remote Sensing of Environment, Vol. 84, Issue 3 https://doi.org/10.1016/S0034-4257(02)00135-9	journal	March 2003
Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery Richardson, Andrew D.; Hufkens, Koen; Milliman, Tom Scientific Data, Vol. 5, Issue 1 https://doi.org/10.1038/sdata.2018.28	journal	March 2018
Reviews and syntheses: Australian vegetation phenology: new insights from satellite remote sensing and digital repeat photography Moore, Caitlin E.; Brown, Tim; Keenan, Trevor F. Biogeosciences, Vol. 13, Issue 17 https://doi.org/10.5194/bg-13-5085-2016	journal	January 2016
PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 Milliman, T.; Seyednasrollah, B.; Young, A. M. ORNL Distributed Active Archive Center https://doi.org/10.3334/ORNLDAAC/1689	collection	January 2019
Climate change, phenology, and phenological control of vegetation feedbacks to the climate system Richardson, Andrew D.; Keenan, Trevor F.; Migliavacca, Mirco Agricultural and Forest Meteorology, Vol. 169 https://doi.org/10.1016/j.agrformet.2012.09.012	journal	February 2013
Integrating Multiscale Seasonal Data for Resource Management Richardson, Andrew; Weltzin, Jake; Morisette, Jeffrey Eos https://doi.org/10.1029/2017EO065709	journal	January 2017
Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment Keenan, T. F.; Darby, B.; Felts, E. Ecological Applications, Vol. 24, Issue 6 https://doi.org/10.1890/13-0652.1	journal	September 2014
PhenoCam Dataset v1.0: Digital Camera Imagery from the PhenoCam Network, 2000-2015 Milliman, T.; Hufkens, K.; Richardson, A. D. ORNL Distributed Active Archive Center https://doi.org/10.3334/ORNLDAAC/1560	collection	January 2018
Data extraction from digital repeat photography using xROI: An interactive framework to facilitate the process Seyednasrollah, Bijan; Milliman, Thomas; Richardson, Andrew D. ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 152 https://doi.org/10.1016/j.isprsjprs.2019.04.009	journal	June 2019
Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery Klosterman, S. T.; Hufkens, K.; Gray, J. M. Biogeosciences, Vol. 11, Issue 16 https://doi.org/10.5194/bg-11-4305-2014	journal	January 2014
An integrated phenology modelling framework in r Hufkens, Koen; Basler, David; Milliman, Tom Methods in Ecology and Evolution, Vol. 9, Issue 5 https://doi.org/10.1111/2041-210x.12970	journal	February 2018
Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery Klosterman, S. T.; Hufkens, K.; Gray, J. M. Biogeosciences Discussions, Vol. 11, Issue 2 https://doi.org/10.5194/bgd-11-2305-2014	journal	January 2014
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

Linked Research (3)

Similar Records

SPRUCE Vegetation Phenology in Experimental Plots from Phenocam Imagery, 2015-2022

Dataset · Sun Jan 01 00:00:00 EST 2023 · OSTI ID:1802809

Richardson, Andrew; Schädel, Christina; Blais, Jacob; +4 more

Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery

Journal Article · Tue Mar 13 00:00:00 EDT 2018 · Scientific Data · OSTI ID:1802809

Richardson, Andrew D.; Hufkens, Koen; Milliman, Tom; +10 more

Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing

Journal Article · Mon Apr 09 00:00:00 EDT 2018 · Scientific Reports · OSTI ID:1802809

Richardson, Andrew D.; Hufkens, Koen; Milliman, Tom; +1 more

Related Subjects

54 ENVIRONMENTAL SCIENCES
Science & Technology - Other Topics

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.v2 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

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

Citation Formats

References (47)

Linked Research (3)

Similar Records

Related Subjects