Skip to main content
SLU publication database (SLUpub)

Other publication2019

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

Seyednasrollah, B.; Young, A.M.; Hufkens, K.; et al.

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.

Published in

Publisher: Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC)

SLU Authors

UKÄ Subject classification

Ecology
Forest Science

Publication identifier

  • DOI: https://doi.org/10.3334/ORNLDAAC/1674

Permanent link to this page (URI)

https://res.slu.se/id/publ/129105