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ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #349663

Title: PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015

item RICHARDSON, A - Northern Arizona University
item HUFKENS, K - Harvard University
item MILLIMAN, T - University Of New Hampshire
item AUBRECHT, D - Harvard University
item CHEN, M - Harvard University
item GRAY, J - Boston University
item JOHNSTON, M - Non ARS Employee
item KEENAN, T - Non ARS Employee
item KLOSTERMAN, S - Harvard University
item KOSMALA, M - Harvard University
item MELAAS, E - Boston University
item FRIEDL, M - Boston University
item FROLKING, S - University Of New Hampshire
item ABRAHA, M - Non ARS Employee
item ALBER, M - Non ARS Employee
item APPLE, M - Non ARS Employee
item LAW, B - Non ARS Employee
item BLACK, T - Non ARS Employee
item BLAKEN, P - Non ARS Employee
item Browning, Dawn
item BRET-HARTE, S - Non ARS Employee
item BRUNSELL, N - University Of Kansas
item BURNS, S - Non ARS Employee
item CREMONESE, E - Non ARS Employee
item DESAI, A - Non ARS Employee
item DUNN, A - Non ARS Employee
item EISSENSTAT, D - Pennsylvania State University
item EUSKIRCHEN, S - Non ARS Employee
item FLANAGAN, L - Non ARS Employee
item FORSYTHE, B - Non ARS Employee
item GALLAGHER, J - Non ARS Employee
item GU, L - Non ARS Employee
item HOLLINGER, D - Non ARS Employee
item JONES, J - Non ARS Employee
item KING, J - Non ARS Employee
item LANGVALL, O - Non ARS Employee
item MCCAUGHEY, J - Queen'S University - Canada
item MCHALE, P - Non ARS Employee
item MEYER, G - Non ARS Employee
item MITCHELL, M - Non ARS Employee
item MIGLIAVACCA, M - Max Planck Institute For Biogeochemistry
item NESIC, Z - Non ARS Employee
item NOORMETS, A - Texas A&M University
item NOVICK, K - Indiana University
item O'CONNELL, J - Non ARS Employee
item OISHI, A - Forest Service (FS)
item OSWALD, W - Non ARS Employee
item PERKINS, T - Non ARS Employee
item PHILLIPS, R - Non ARS Employee
item SCHWARTZ, M - Non ARS Employee
item Scott, Russell - Russ
item SONNENTAG, O - University Of Montreal
item THOM, J - Non ARS Employee

Submitted to: Ag Data Commons
Publication Type: Other
Publication Acceptance Date: 12/27/2017
Publication Date: 12/27/2017
Citation: Richardson, A.D., Hufkens, K., Milliman, T., Aubrecht, D.M., Chen, M., Gray, J.M., Johnston, M.R., Keenan, T.F., Klosterman, S.T., Kosmala, M., Melaas, E.K., Friedl, M.A., Frolking, S., Abraha, M., Alber, M., Apple, M., Law, B.E., Black, T.A., Blaken, P., Browning, D.M., Bret-Harte, S., Brunsell, N., Burns, S.P., Cremonese, E., Desai, A.R., Dunn, A.L., Eissenstat, D.M., Euskirchen, S.E., Flanagan, L.B., Forsythe, B., Gallagher, J., Gu, L., Hollinger, D.Y., Jones, J.W., King, J., Langvall, O., Mccaughey, J.H., Mchale, P.J., Meyer, G.A., Mitchell, M.J., Migliavacca, M., Nesic, Z., Noormets, A., Novick, K., O'Connell, J., Oishi, A.C., Oswald, W.W., Perkins, T.D., Phillips, R.P., Schwartz, M.D., Scott, R.L., Sonnentag, O., Thom, J.E. 2017. PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015. Ag Data Commons.

Interpretive Summary: Agricultural ecosystems differ in their ability to withstand drought and increases in temperature forecasted changes in climate and climate variability. Data metrics reflecting seasonal patterns in primary production (known as plant phenology) and links to environmental and or soil-related factors that drives those patterns are increasing in importance for sustaining agricultural production. What prompts crops and other vegetation to initiate growth? Are environmental drivers changing? If so, how might we adapt agricultural production to meet growing demands amidst increasing variability in climate? Standardized data metrics from widely distributed observations offer an approach to answering these questions. Digital cameras mounted on towers (hereafter “phenocams) provide detailed information about vegetation greenness. Data derived from phenocam images (e.g., dates for start of growth and start of senescence) fill a gap for agro-ecosystems nationwide and facilitate linkages between pasture-level field observations of crop status and landscape greenness and metrics derived from satellite remote sensing. The dataset published herein spans 133 sites across diverse ecosystems from 2000-2015 and provides data that can be used by scientists, land owners, and decision makers in conjunction with gridded environmental data products to better understand how ecosystems will respond to prolonged drought and/or changes in temperature, thereby informing management decisions.

Technical Abstract: This data set provides a time series of vegetation phenological observations for 133 sites across diverse ecosystems of North America and Europe from 2000-2015. 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 data products, consisting of almost 750 site-years of observations, can be used for phenological model validation and development, evaluation of satellite remote sensing data products, to understand relationships between canopy phenology and ecosystem processes, to study the seasonal changes in leaf-level physiology that are associated with changes in leaf color, for benchmarking earth system models, and for studies of climate change impacts on terrestrial ecosystems.