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V3 Dataset

Clicking the button below will download the entire 6.5GB V3.0 dataset. Make sure you have sufficient space before downloading. Once you click the link you will be set back to the Dataset V3.0 page.

Download the V3 Dataset: 

Project Team

Principal Investigator:
Andrew D. Richardson, Northern Arizona University email   

 

Data Managers: 
Keith Ballou, Northern Arizona University  email   
Zakary Vladich, Northern Arizona University  email   
Oscar Zimmerman, Northern Arizona University  email   
Mostafa Javadian, Northern Arizona University  email   
Kai Begay, Northern Arizona University  email   

Research Computing Coordinator: 
Chris Coffey, Northern Arizona University  email   

Coding support: 
Michael Fell, Northern Arizona University  email   

Past contributors: 
Alison Post, Earth Lab, University of Colorado
Aaron Teets, Forest Inventory and Analysis, USDA Forest Service
Adam Young, National Ecological Observatory Network, Battelle
Bijan Seyednasrollah  bnasr on GitHub

Special Thanks to the Genius Team:
Koen Hufkens, BlueGreen Labs
Tom Milliman, University of New Hampshire (retired)

 

Contact the PhenoCam support team

 

Motivation

Reducing uncertainties about the role of terrestrial ecosystems in the global carbon [C] cycle requires better understanding of the spatial and temporal variation in biologically-mediated sources and sinks of C. Particularly in temperate and boreal forest ecosystems, phenological events such as spring leaf emergence and autumn senescence exert strong control on primary productivity and are therefore critical to ecosystem C cycling. Phenology also influences hydrologic processes, as leaf-out is accompanied by an increase in evapotranspiration; nutrient cycling processes, as senescence results in fresh litter (nutrient) inputs to the forest floor; and feedbacks to the climate system, as the amount and condition of foliage present affects surface energy balance, albedo, and surface roughness. Phenology also influences ecological interactions among individuals (e.g., competition) and across trophic levels (e.g., herbivory).

Phenology has been shown to be a robust integrator of the effects of year-to-year climate variability and longer-term climate change on natural systems (e.g., recent warming trends). Experimental studies have shown how other global change factors (e.g., elevated CO2 and N deposition) can also influence phenology. There is a need to better document biological responses to a changing world, and improved phenological monitoring at scales from individual organisms to ecosystems, regions and continents will contribute to achieving this goal.

 

The PhenoCam Network

We initiated the PhenoCam Network in order to provide automated, near-surface remote sensing of canopy phenology across the northeastern United States and adjacent Canada. This work was funded by two grants (2007-2009, 2009-2011) from the Northeastern States Research Cooperative. Following pilot work at Bartlett Experimental Forest , we installed high-resolution digital cameras ("webcams") at more than a dozen established research sites distributed throughout this region. Images from these cameras are uploaded to the PhenoCam server every half hour, and we then use simple analysis techniques to extract quantitative color information from each picture. Canopy greenness indices thus provide information about the amount of foliage present, and its color. In this way, image analysis of archived digital camera images provides an objective means by which canopy phenology can be monitored and quantified, at relatively low cost and with minimal personnel expenses, without the need for a human observer.

At many of the PhenoCam network sites, cooperating researchers are conducting ongoing measurements of surface-atmosphere exchange of carbon and water using the eddy covariance method, and these flux data are being used to evaluate the implications of seasonal changes in canopy state for ecosystem function. We are actively seeking to establish new collaborations with existing AmeriFlux sites.

Unlike conventional remote sensing, near-surface remote sensing provides imagery that is continuous in time, free of contamination by clouds, and not requiring correction for atmospheric effects. A key problem with satellite remote sensing (e.g. MODIS imagery) is the coarse spatial resolution; digital camera imagery, on the other hand, offers the opportunity to either integrate the phenological signal across the whole canopy, or to identify individual tree crowns and conduct separate analyses for different species. At the same time, the PhenoCam network provides information needed to link what is actually happening on the ground and what is observed by airborne and satellite sensors. Thus data from this project will contribute to efforts in which remote sensing is used to scale from intensively monitored sites to more extensive spatial domains.

Funding from the National Science Foundation’s Macrosystems Biology Program (award EF-1065074 and EF-1702697) has enabled the expansion of the network, a focus on broader science questions, and improvements to our online data visualization and delivery tools. Our goal is to function as a continental-scale phenological observatory, spanning as wide a range of biogeoclimatic zones and vegetation types as possible (Figure 1). The network now includes cameras located across North America, from Alaska to Florida and from Hawaii to Maine. More than 400 cameras, most of which have been deployed following our standardized protocol, are currently uploading half-hourly imagery to the PhenoCam server. Imagery and data products are available for each site by following links from the Gallery page.

Phenology of various biomes.

Figure 1. Vegetation canopy greenness, as quantified by the green chromatic coordinate (GCC) using PhenoCam imagery, in relation to seasonal patterns of monthly precipitation (blue bars) and air temperature (red bars). Green lines correspond to GCC for trees, and brown to GCC for grasses, in camera field of view. The seasonal patterns, and interannual variability, vary among sites in relation to climate drivers and vegetation type.

 

Research Questions

The primary objective of the PhenoCam project is to use automated, near-surface remote sensing to provide continuous, real-time monitoring of vegetation phenology across a range of ecosystems and climate zones.

The science questions motivating the project are as follows:

  1. How do photoperiod, temperature, and precipitation govern phenological transitions in different vegetation types?
  2. How will phenology respond to climate change, and what are the associated uncertainties?
  3. How will these phenological shifts impact ecosystem processes, and climate system feedbacks, related to carbon and water?

 

Data Sharing

We make all of our imagery freely available for download by the community; all that is required is that you register for a user account. You will also need to create a user account to view the thumbnails of each day’s images, and the images themselves, using the browse feature. We had to implement this login to prevent web crawlers from consuming too much of our available server bandwidth. Derived data products can be viewed in near-real-time on ROI page for each site. These can also be downloaded by registered users, but please note that all data sets are considered preliminary until they are formally released and posted to the ORNL DAAC with an associate DOI.

A curated and documented data set, “The PhenoCam Dataset version 2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018”, has been published. You can find a link to this data set (and the v1.0 data set) in our Fair-use statement. Our full fair use policy can be found here.

 

Additional Information

Questions? Check out our FAQ page.
Interested in reading our field protocol? Find it here.
Want to know more about camera configuration? Look here.
For image processing code, including the stand-alone PhenoCam GUI program, visit our Tools page.

For general questions about the PhenoCam Network, contact PI Andrew Richardson  email
For questions related to the data archive, contact the PhenoCam support team  email
For troubleshooting assistance, please consult our extensive compilation of tricks and tips  https://phenocam.nau.edu/pdf/PhenoCam_Troubleshooting.pdf .

 

Publications

(see our Publications Page)

PhenoCam Fair Use Data Policy:

Updated 28 August 2025

General terms:

Since its inception, the mission of the PhenoCam Network has been to serve as a repository for phenologically-relevant, digital, repeat (time-lapse) imagery, and to make that imagery, and derived data products, freely available to a wide array of third-party data end-users, including researchers, educators, and the general public. Thus, imagery and data from the PhenoCam archive are made publicly available, without restriction, following the CC BY 4.0 license.  We encourage you to download imagery and datasets for use in your own research and teaching. In return, we ask that you acknowledge the source of the data and imagery, and understand and abide by the terms of the Creative Commons CC-BY-4.0 Attribution License.

Creative Commons By icon

 

Acknowledgments:

For any publications using PhenoCam imagery or data, including both provisional data and curated data releases, we ask that you:

 

  1. include the following text in your Acknowledgments:

    Data used in this research were provided by the PhenoCam Network, which has been supported by the National Science Foundation, the Long-Term Agroecosystem Research (LTAR) network which is supported by the United States Department of Agriculture (USDA), the U.S. Department of Energy, the U.S. Geological Survey, the Northeastern States Research Cooperative, and the USA National Phenology Network. We thank the PhenoCam Network collaborators, including site PIs and technicians, for publicly sharing the data that were used in this paper.

  2. include site-specific acknowledgments for each site from which data were used. The appropriate text has been provided by site collaborators, and is included in the metadata file associated with each PhenoCam site. For an example of how we recommend these acknowledgments be included, please see the electronic supplement to the following paper:

    Richardson, A.D., K. Hufkens, T. Milliman, and S. Frolking. 2018. Intercomparison of transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing. Scientifc Reports 8, Article number: 5679. https://doi.org/10.1038/s41598-018-23804-6.

    Note: Active engagement with our site contacts/collaborators is not required under this CC-BY-4.0 license, but it can help avoid misinterpretation or other data issues and is appreciated by data providers. It is recommended that data users inform site contacts of forthcoming publications that use a site’s data.

  3. cite the relevant publications that describe the image acquisition and data processing procedures (e.g. Richardson et al. 2018, Seyednasrollah et al. 2019, Young et al. 2025). Additionally, if you are using curated data or imagery from the PhenoCam Dataset version 1.0, 2.0, or 3.0, we also ask that you cite those datasets at the ORNL DAAC (see below). 

    Richardson, A.D., K. Hufkens, T. Milliman, D.M. Aubrecht, M. Chen, J.M. Gray, M.R. Johnston, T.F. Keenan, S.T. Klosterman, M. Kosmala, E.K. Melaas, M.A. Friedl, and S. Frolking. 2018. Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data 5, Article number: 180028. https://doi.org/10.1038/sdata.2018.28

    Seyednasrollah, B., A. M. Young, K. Hufkens, T. Milliman, M. A. Friedl, S. Frolking, and A. D. Richardson. Tracking vegetation phenology across diverse biomes using version 2.0 of the PhenoCam dataset. Scientific Data, 6(1):222, 2019.  https://doi.org/10.1038/s41597-019-0229-9

    Young, A. M., T. Milliman, K. Hufkens, K. Ballou, C. Coffey, K. Begay, M. Fell, M. Javadian, A.K. Post, C. Schädel, Z. Vladich, O. Zimmerman, D.M. Browning, C.R. Florian, M. Moon, M.D. SanClements, B. Seyednasrollah, M.A. Friedl, and A.D. Richardson. Tracking vegetation phenology across diverse biomes using Version 3.0 of the PhenoCam Dataset, Earth Syst. Sci. Data Discuss. [preprint], 2025. https://doi.org/10.5194/essd-2025-120

Curated data sets:

Version 3.0. The PhenoCam Dataset version 3.0, and associated camera imagery, is made publicly available under a CC BY Attribution License.

Zimmerman, O., A. M. Young, T. Milliman, K. Hufkens, K. Ballou, C. Coffey, K. Begay, M. Fell, M. Javadian, A. K. Post, C. Schadel, Z. Vladich, D. M. Browning, C. R. Florian, M. A. Friedl, M. Moon, M. D. SanClements, B. Seyednasrollah, A. D. Richardson, M. Abraha, M. Alber, D. W. Allen, M. Apple, M. A. Arain, A. C. Axel, P. H. J. Badiou, M. Bahn, J. Baker, D. Baldocchi, S. L. J. Bayliss, N. Behrens, C. M. Beier, C. J. Bernacchi, D. Berveiller, J. Bhattacharjee, S. C. Biraud, J. J. Blais, P. Blanken, M. Bonfim, D. D. Bosch, R. Boughton, E. H. Boughton, R. F. Brown, N. Brunsell, S. P. Burns, M. S. Carbone, B. R. Carlson, A. Carrara, M. Cavagna, W. S. Chan, J. Chen, A. Christen, N. Chrysoulakis, H. Chu, P. E. Clark, B. J. Conrad, M. R. Cortese, R. M. Crandall, E. Cremonese, H. Crepaz, F. W. Davis, D. Debinski, A. R. Desai, M. Detto, R. Diaz-Delgado, L. Duchesne, A. Dunn, K. J. Easterday, D. M. Eissenstat, T. El-madany, D. S. S. Ellum, S. K. M. Ernest, A. Esposito, E. S. Euskirchen, L. Fenstermaker, L. F. Filchev, J. M. Fill, L. B. Flanagan, B. Forsythe, J. M. Frank, A. L. Freestone, J. Gallagher, M. García, D. Garcia-Diaz, M. Gharun, D. Gianelle, J. M. Gonet, S. C. Goslee, T. Griffis, P. Groffman, L. Gu, J. Guillemot, I. M. Halm, M. Halpin, A. Hammerle, P. J. Hanson, C. V. Hanson, Z. Harlow, K. M. Hart, C. E. Hatch, P. L. Heinrich, D. Hemming, M. Heskel, A. C. Hill, A. A. Hove, T. Hubner, D. Hui, E. R. Humphreys, P. C. Inkenbrandt, A. Jaimes-Hernandez, R. Jensen, J. Johnson, B. G. Johnson, L. S. K. Joseph, E. Keel, V. R. Kelly, K. W. King, J. W. Kirchner, P. B. Kirchner, M. A. Kline, S. H. Knox, M. Krassovski, K. L. Ladig, P. E. Laerke, O. Langvall, G. Lanthier, N. K. Lany, R. López Jiménez, G. l. Maire, H. Liu, Y. Luo, A. Manco, J. Marrs, T. A. Martin, M. Mauritz, G. McCarty, B. McNeil, F. Meier, M. Mensinger, G. Meyer, M. Migliavacca, T. Miura, B. P. Mohanty, C. E. Moore, R. Mudd, J. W. Munger, Z. E. Murrell, Z. Nesic, H. S. Neufeld, J. Norris, J. O’Connell, T. L. O’Halloran, W. Oechel, A. C. Oishi, B. Oryan, W. W. Oswald, D. M. P. Peltier, J. Perez-Quezada, T. D. Perkins, C. Phillips, M. Pizarro, D. Poursanidis, J. W. M. Pullens, P. Ramanamandimby, M. P. Rao, R. L. Ray, M. L. Reba, C. Redmond, A. Reinmann, D. A. Roberts, G. P. Robertson, M. Rodriguez-Caton, K. Rumora, B. C. Rundquist, B. R. K. Runkle, T. Sachs, E. J. Sadler, A. Saha, N. Z. Saliendra, T. S. Sankey, H. Scheifinger, L. Schmalbeck, M. R. Schuppenhauer, M. D. Schwartz, R. L. Scott, S. D. Sebestyen, D. Smale, E. M. Smith, J. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, D. Szutu, F. Tekinay, J. E. Thom, R. Q. Thomas, C. Trauernicht, D. Trejo, D. Tsirantonakis, A. Valero, A. K. Van den berg, M. K. Van der molen, R. Vargas, M. Vellend, J. Verfaillie, C. S. Vogel, A. Vrieling, J. J. Walker, J. R. Ward, D. A. Watts, N. Webb, P. Wetzel, S. Weyers, A. V. Whipple, C. W. Whippo, W. A. White, T. G. Whitham, C. Wille, A. Wingler, G. Wohlfahrt, S. Wolf, J. D. Wood, A. L. Woodley, J. Yang, X. Yang, G. Yenni, A. J. Zambrano-olimpo, A. Zandonai, Y. Zhang, and D. Zona. 2025. PhenoCam Dataset v3.0: Vegetation Phenology from Digital Camera Imagery, 2000-2023. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2389. Download citation from Datacite: RIS BibTex

Ballou, K., Z. Vladich, A. M. Young, T. Milliman, K. Hufkens, C. Coffey, K. Begay, M. Fell, M. Javadian, A. K. Post, C. Schadel, O. Zimmerman, D. M. Browning, C. R. Florian, M. A. Friedl, M. Moon, M. D. SanClements, B. Seyednasrollah, A. D. Richardson, M. Abraha, D. W. Allen, M. Apple, M. A. Arain, A. C. Axel, P. H. J. Badiou, M. Bahn, J. Baker, D. Baldocchi, S. L. J. Bayliss, N. Behrens, C. M. Beier, C. J. Bernacchi, D. Berveiller, J. Bhattacharjee, S. C. Biraud, J. J. Blais, P. Blanken, M. Bonfim, D. D. Bosch, R. Boughton, E. H. Boughton, R. F. Brown, N. Brunsell, S. P. Burns, M. S. Carbone, B. R. Carlson, A. Carrara, M. Cavagna, W. S. Chan, J. Chen, A. Christen, N. Chrysoulakis, H. Chu, P. E. Clark, B. J. Conrad, M. R. Cortese, R. M. Crandall, E. Cremonese, H. Crepaz, F. W. Davis, D. Debinski, A. R. Desai, M. Detto, R. Diaz-Delgado, L. Duchesne, A. L. Dunn, K. J. Easterday, D. M. Eissenstat, T. El-Madany, D. S. S. Ellum, S. K. M. Ernest, A. Esposito, E. S. Euskirchen, L. Fenstermaker, L. F. Filchev, J. M. Fill, L. B. Flanagan, B. Forsythe, J. M. Frank, A. L. Freestone, J. Gallagher, M. B. Garcia, D. Garcia-Diaz, M. Gharun, D. Gianelle, J. M. Gonet, S. C. Goslee, T. Griffis, P. Groffman, L. Gu, J. Guillemot, I. M. Halm, M. Halpin, A. Hammerle, C. V. Hanson, P. J. Hanson, Z. Harlow, K. M. Hart, C. E. Hatch, P. L. Heinrich, D. Hemming, M. Heskel, A. C. Hill, A. A. Hove, T. Hubner, D. Hui, E. R. Humphreys, P. C. Inkenbrandt, A. Jaimes-Hernandez, R. Jensen, B. G. Johnson, J. M. F. Johnson, L. S. K. Joseph, E. Keel, V. R. Kelly, K. W. King, J. W. Kirchner, P. B. Kirchner, M. A. Kline, S. H. Knox, M. Krassovski, K. L. Ladig, P. E. Laerke, O. Langvall, N. K. Lany, G. Lanthier, G. le Maire, H. Liu, Y. P. Luo, R. López Jiménez, A. Manco, J. Marrs, T. A. Martin, M. Mauritz, G. McCarty, B. McNeil, F. Meier, M. Mensinger, G. A. Meyer, M. Migliavacca, T. Miura, B. P. Mohanty, C. E. Moore, R. Mudd, J. W. Munger, Z. E. Murrell, Z. Nesic, H. S. Neufeld, J. Norris, J. O’Connell, T. L. O’Halloran, W. Oechel, A. C. Oishi, B. Oryan, W. W. Oswald, D. M. P. Peltier, J. Perez-Quezada, T. D. Perkins, C. Phillips, M. Pizarro, D. Poursanidis, J. W. M. Pullens, P. Ramanamandimby, M. P. Rao, R. L. Ray, M. L. Reba, C. Redmond, A. Reinmann, D. A. Roberts, G. P. Robertson, M. Rodriguez-Caton, K. Rumora, B. C. Rundquist, B. R. K. Runkle, T. Sachs, E. J. Sadler, A. Saha, N. Z. Saliendra, T. S. Sankey, H. Scheifinger, L. Schmalbeck, M. R. Schuppenhauer, M. D. Schwartz, R. L. Scott, S. D. Sebestyen, D. Smale, E. M. Smith, J. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, D. Szutu, F. Tekinay, J. E. Thom, R. Q. Thomas, C. Trauernicht, D. Trejo, D. Tsirantonakis, A. Valero, A. K. Van den berg, M. K. Van der molen, R. Vargas, M. Vellend, J. Verfaillie, C. S. Vogel, A. Vrieling, J. J. Walker, J. R. Ward, D. A. Watts, N. Webb, P. Wetzel, S. Weyers, A. V. Whipple, C. W. Whippo, W. A. White, T. G. Whitham, C. Wille, A. Wingler, G. Wohlfahrt, S. Wolf, J. D. Wood, A. L. Woodley, J. Yang, X. Yang, G. Yenni, A. J. Zambrano-olimpo, A. Zandonai, Y. Zhang, and D. Zona. 2025. PhenoCam Dataset v3.0: Digital Camera Imagery from the PhenoCam Network, 2000-2023. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2364. Download citation from Datacite: RIS BibTex

Version 2.0. The PhenoCam Dataset version 2.0, and associated camera imagery, is made publicly available under a CC BY Attribution License.

Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J. Baker, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz- Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, T.L. O'Halloran, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, S. Wolf, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1674. Download citation from Datacite: RIS BibTex

Milliman, T., B. Seyednasrollah, A.M. Young, K. Hufkens, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1689. Download citation from Datacite: RIS BibTex

Version 1.0. The PhenoCam Dataset version 1.0, and associated camera imagery, is made freely available under the CC0 Public Domain Dedication. We encourage you to use the newer V2 of the dataset.

Richardson, A.D., K. Hufkens, T. Milliman, D.M. Aubrecht, M. Chen, J.M. Gray, M.R. Johnston, T.F. Keenan, S.T. Klosterman, M. Kosmala, E.K. Melaas, M.A. Friedl, S. Frolking, M. Abraha, M. Alber, M. Apple, B.E. Law, T.A. Black, P. Blanken, D. Browning, S. Bret-Harte, N. Brunsell, S.P. Burns, E. Cremonese, A.R. Desai, A.L. Dunn, D.M. Eissenstat, E. Euskirchen, L.B. Flanagan, B. Forsythe, J. Gallagher, L. Gu, D.Y. Hollinger, J.W. Jones, J. King, O. Langvall, J.H. McCaughey, P.J. McHale, G.A. Meyer, M.J. Mitchell, M. Migliavacca, Z. Nesic, A. Noormets, K. Novick, J. O’Connell, A.C. Oishi, W.W. Oswald, T.D. Perkins, R.P. Phillips, M.D. Schwartz, R.L. Scott, O. Sonnentag, and J.E. Thom. 2017. The PhenoCam Dataset V1.0. Vegetation Phenology from Digital Camera Imagery, 2000-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1511. Download citation from Datacite: RIS BibTex


Milliman, T., K. Hufkens, A.D. Richardson, D.M. Aubrecht, M. Chen, J.M. Gray, M.R. Johnston, T.F. Keenan, S.T. Klosterman, M. Kosmala, E.K. Melaas, M.A. Friedl, S. Frolking, M. Abraha, M. Alber, M. Apple, B.E. Law, T.A. Black, P. Blanken, D. Browning, S. Bret-Harte, N. Brunsell, S.P. Burns, E. Cremonese, A.R. Desai, A.L. Dunn, D.M. Eissenstat, S.E. Euskirchen, L.B. Flanagan, B. Forsythe, J. Gallagher, L. Gu, D.Y. Hollinger, J.W. Jones, J. King, O. Langvall, J.H. McCaughey, P.J. McHale, G.A. Meyer, M.J. Mitchell, M. Migliavacca, Z. Nesic, A. Noormets, K. Novick, J. O'Connell, A.C. Oishi, W.W. Oswald, T.D. Perkins, R.P. Phillips, M.D. Schwartz, R.L. Scott, O. Sonnentag, and J.E. Thom. 2017. Images used in generation of the PhenoCam Dataset v1.0, 2000-2015. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1560. Download citation from Datacite: RIS BibTex

 

Thank you:

Thank you for adhering to the terms of this fair use agreement. If you have any questions, comments, or suggestions, please reach out to the PhenoCam Team at Northern Arizona University, PhenoCam@nau.edu.

 

Disclaimer:

The views and conclusions presented here are those of the authors and should not be interpreted as representing the opinions or policies of any of the agencies or organizations that have supported the development of the PhenoCam Network.