PhenoCam Dataset v3.0: Digital Camera Imagery from the PhenoCam Network, 2000-2023

Abstract

This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 738 sites across diverse ecosystems of the world (mostly North America) from 2000-2023. Vegetation types such as deciduous broadleaf forests, grasslands, evergreen needleleaf forests, and agriculture are the best-represented. The raw imagery was used to derive information on phenology, including time series of vegetation color, canopy greenness, and phenology transition dates for the PhenoCam Dataset v3.0. The images are provided in JPEG format organized in compressed tar.gz archives by site and date. Site locations and basic metadata are included in a GeoJSON file.

Published in

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

SLU Authors

• Langvall, Ola

  • Unit for Field-based Forest Research, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Ecology

Publication identifier

• DOI: https://doi.org/10.3334/ORNLDAAC/2364

Permanent link to this page (URI)

https://res.slu.se/id/publ/144947