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., BLANKEN, P., … THOM, J. E. (2017). PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1511 Date Accessed: 2026-09-14
@article{richardson_hufkens_milliman_aubrecht_chen_gray_johnston_keenan_klosterman_kosmala_et al._2017,
title={PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015},
url={https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1511},
DOI={10.3334/ORNLDAAC/1511},
abstractNote={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.},
publisher={ORNL Distributed Active Archive Center},
author={RICHARDSON, A.D. and HUFKENS, K. and MILLIMAN, T. and AUBRECHT, D.M. and CHEN, M. and GRAY, J.M. and JOHNSTON, M.R. and KEENAN, T.F. and KLOSTERMAN, S.T. and KOSMALA, M. and MELAAS, E.K. and FRIEDL, M.A. and FROLKING, S. and ABRAHA, M. and ALBER, M. and APPLE, M. and LAW, B.E. and BLACK, T.A. and BLANKEN, P. and BROWNING, D. and BRET-HARTE, S. and BRUNSELL, N. and BURNS, S.P. and CREMONESE, E. and DESAI, A.R. and DUNN, A.L. and EISSENSTAT, D.M. and EUSKIRCHEN, S.E. and FLANAGAN, L.B. and FORSYTHE, B. and GALLAGHER, J. and GU, L. and HOLLINGER, D.Y. and JONES, J.W. and KING, J. and LANGVALL, O. and MCCAUGHEY, J.H. and MCHALE, P.J. and MEYER, G.A. and MITCHELL, M.J. and MIGLIAVACCA, M. and NESIC, Z. and NOORMETS, A. and NOVICK, K. and O'CONNELL, J. and OISHI, A.C. and OSWALD, W.W. and PERKINS, T.D. and PHILLIPS, R.P. and SCHWARTZ, M.D. and SCOTT, R.L. and SONNENTAG, O. and THOM, J.E.},
year={2017},
language={en},
}
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., BLANKEN, P., … THOM, J. E. (2017). PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015. ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1511 Date Accessed: 2026-09-14
RICHARDSON, A.D., et al. “PhenoCam Dataset v1.0: Vegetation Phenology from Digital Camera Imagery, 2000-2015.” ORNL Distributed Active Archive Center, 2017, https://doi.org/10.3334/ORNLDAAC/1511. Date Accessed: 2026-09-14