Skip to main content
ARS Home » Midwest Area » St. Paul, Minnesota » Soil and Water Management Research » Research » Publications at this Location » Publication #377209
Research Project: Developing Agricultural Practices to Protect Water Quality and Conserve Water and Soil Resources in the Upper Midwest United States

Location: Soil and Water Management Research

Title: PhenoCam dataset v2.0: vegetation phenology from digital camera imagery, 2000-2018

Author
item SEYEDNASROLLAH, B - Northern Arizona University
item YOUNG, A - Northern Arizona University
item HUFKENS, K - Ghent University
item MILLIMAN, T - University Of New Hampshire
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 - National Institute Of Standards & Technology (NIST)
item APPLE, M - Montana Tech
item Baker, John
item Bosch, David
item Browning, Dawn
item Clark, Pat
item Jaradat, Abdullah
item Johnson, Jane
item Keel, Earl
item Reba, Michele
item Sadler, Edward
item Saliendra, Nicanor
item Scott, Russell - Russ
item Weyers, Sharon

Submitted to: Oak Ridge National Library Distributed Active Archive Center
Publication Type: Database / Dataset
Publication Acceptance Date: 9/1/2019
Publication Date: 9/4/2019
Citation: Seyednasrollah, B., Young, A.M., Hufkens, K., Milliman, T., Friedl, M.A., Frolking, S., Richardson, A.D., Abraha, M., Allen, D.W., Apple, M., Baker, J.M., Bosch, D.D., Browning, D.M., Clark, P., Jaradat, A.A., Johnson, J.M., Keel, E.W., Reba, M.L., Sadler, E.J., Saliendra, N.Z., Scott, R.L., Weyers, S.L. et al. 2004. PhenoCam dataset v2.0: vegetation phenology from digital camera imagery, 2000-2018. Oak Ridge National Library Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1674.
DOI: https://doi.org/10.3334/ORNLDAAC/1674

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.