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ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #377727

Research Project: Science and Technologies for the Sustainable Management of Western Rangeland Systems

Location: Range Management Research

Title: PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018

item MILLIMAN, T - University Of New Hampshire
item SEYEDNASROLLAH, B - Northern Arizona University
item Young, Ashley
item HUFKENS, K - Ghent University
item FRIEDL, M - Boston University
item FROLKING, S - University Of New Hampshire
item RICHARDSON, A - Northern Arizona University
item ABRAHA, M - Michigan State University
item ALLEN, D - Non ARS Employee
item APPLE, M - Non ARS Employee
item ARAIN, M - McMaster University
item Baker, John
item BALDOCCHI, D - Berkeley National Laboratory
item Bernacchi, Carl
item BHATTACHARJEE, J - Benedictine University Of Illinois
item BLANKEN, P - University Of Colorado
item Bosch, David - Dave
item BOUGHTON, R - University Of Florida
item BOUGHTON, E - Archbold Biological Station
item BROWN, R - Non ARS Employee
item Browning, Dawn
item BRUNSELL, N - University Of Kansas
item BURNS, S - National Center For Atmospheric Research (NCAR)
item CAVAGNA, M - Non ARS Employee
item CHU, H - Non ARS Employee
item Clark, Pat
item CONRAD, B - Non ARS Employee
item CREMONESE, E - Environmental Protection Agency Of Aosta Valley
item DEBINSKI, D - Montana State University
item DESAI, A - University Of Wisconsin
item DIAZ-DELGADO, R - Non ARS Employee
item DUCHESNE, L - Non ARS Employee
item DUNN, A - Non ARS Employee
item EISSENSTAT, D - Pennsylvania State University
item EL-MADANY, T - Max Planck Institute Of Chemical Ecology
item ELLUM, D - Warren Wilson College
item ERNEST, S - University Of New Mexico
item ESPOSITO, A - Second University Of Naples
item FENSTERMAKER, L - Desert Research Institute
item FLANAGAN, L - University Of Utah
item FORSYTHE, B - Non ARS Employee
item GALLAGHER, J - Non ARS Employee
item GIANELLE, D - Non ARS Employee
item GRIFFIS, T - University Of Minnesota
item GROFFMAN, P - Cary Institute Of Economic Studies
item GU, L - University Of Kansas
item GUILLEMOT, J - Umr - Bgpi, Biologie Et Génétique Des Interactions Plante-parasite
item HALPIN, M - Non ARS Employee
item HANSON, P - Oak Ridge National Laboratory
item HEMMING, D - Non ARS Employee
item HOVE, A - Warren Wilson College
item HUMPHREYS, E - Non ARS Employee
item JAIMES-HERNANDEZ, A - Non ARS Employee
item JARADAT, A - University Of Minnesota
item JOHNSON, J - Arizona State University
item KEEL, E - Non ARS Employee
item KELLY, V - Duke University
item KIRCHNER, J - Zurich University Of Applied Sciences
item KIRCHNER, P - National Park Service
item KNAPP, M - Bangor University
item KRASSOVSKI, M - Oak Ridge National Laboratory
item LANGVALL, O - Non ARS Employee
item LANTHIER, G - University Of Montreal
item MAIRE, G - Non ARS Employee
item MAGLIULO, E - Non ARS Employee
item MARTIN, T - Non ARS Employee
item MCNEIL, B - West Virginia University
item MEYER, G - Williams College
item MIGLIAVACCA, M - Non ARS Employee
item MOHANTY, B - Texas A&M University
item MOORE, C - University Of Western Australia
item MUDD, R - University Of Hawaii
item MUNGER, J - Harvard University
item MURRELL, Z - Appalachian State University
item NESIC, Z - University Of British Columbia
item NEUFELD, H - Appalachian State University
item OECHEL, W - San Diego State University
item OISHI, A - Us Forest Service (FS)
item OSWALD, W - Harvard University
item PERKINS, T - University Of Vermont
item Reba, Michele
item RUNDQUIST, B - University Of North Dakota
item RUNKLE, B - University Of Arkansas
item RUSSELL, E - Washington State University
item Sadler, Edward
item SAHA, A - Archbold Biological Station
item SALIENDRA, N - Utah State University
item SCHMALBECK, L - North Carolina State University
item SCHWARTZ, M - University Of Wisconsin
item Scott, Russell - Russ
item SMITH, E - University Of South Carolina
item SONNENTAG, O - Harvard University
item Weyers, Sharon

Submitted to: Scientific Data
Publication Type: Other
Publication Acceptance Date: 9/4/2019
Publication Date: 10/10/2019
Citation: Milliman, T., Seyednasrollah, B., Young, A.M., Hufkens, K., Friedl, M.A., Frolking, S., Richardson, A.D., Abraha, M., Allen, D.W., Apple, M., Arain, M.A., Baker, J.M., Baldocchi, D., Bernacchi, C.J., Bhattacharjee, J., Blanken, P., Bosch, D.D., Boughton, R., Boughton, E.H., Brown, R.F., Browning, D.M., Brunsell, N., Burns, S.P., Cavagna, M., Chu, H., Clark, P., Conrad, B.J., Cremonese, E., Debinski, D., Desai, A.R., Diaz-Delgado, R., Duchesne, L., Dunn, A.L., Eissenstat, D.M., El-Madany, T., Ellum, D.S., Ernest, S.M., Esposito, A., Fenstermaker, L., Flanagan, L.B., Forsythe, B., Gallagher, J., Gianelle, D., Griffis, T., Groffman, P., Gu, L., Guillemot, J., Halpin, M., Hanson, P.J., Hemming, D., Hove, A.A., Humphreys, E.R., Jaimes-Hernandez, A., Jaradat, A.A., Johnson, J., Keel, E., Kelly, V.R., Kirchner, J.W., Kirchner, P.B., Knapp, M., Krassovski, M., Langvall, O., Lanthier, G., Maire, G.I., Magliulo, E., Martin, T.A., Mcneil, B., Meyer, G.A., Migliavacca, M., Mohanty, B.P., Moore, C.E., Mudd, R., Munger, J.W., Murrell, Z.E., Nesic, Z., Neufeld, H.S., Oechel, W., Oishi, A.C., Oswald, W.W., Perkins, T.D., Reba, M.L., Rundquist, B., Runkle, B.R., Russell, E.S., Sadler, E.J., Saha, A., Saliendra, N.Z., Schmalbeck, L., Schwartz, M.D., Scott, R.L., Smith, E.M., Sonnentag, O., Weyers, S.L., etal. 2019. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. Scientific Data.

Interpretive Summary:

Technical Abstract: This data set provides a time series of vegetation phenological observations for 393 sites across diverse ecosystems of the world (mostly North America) from 2000-2018. The phenology data were derived from conventional visible-wavelength automated digital camera imagery collected through the PhenoCam Network at each site. From each acquired image, RGB (red, green, blue) color channel information was extracted and means and other statistics calculated for a region-of-interest (ROI) that delineates an area of specific vegetation type. From the high-frequency (typically, 30 minute) imagery collected over several years, time series characterizing vegetation color, including canopy greenness, plus greenness rising and greenness falling transition dates, were summarized over 1- and 3-day intervals.The PhenoCam data are released under a CC-BY license.