Skip to main content

Description

This dataset provides a time series of visible-wavelength digital camera imagery collected through the PhenoCam Network at each of 393 sites predominantly in North America from 2000-2018. 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 v2.0.

Product Summary

Platforms
FIELD INVESTIGATION
Instruments
CAMERA
Spatial Extent
N: 71.28 S: -22.97 E: 119.22 W: -158.15
Geographic Region
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
1999-11-16 to 2018-12-31
Concept ID
C2764728896-ORNL_CLOUD
Data State
SUPERSEDED
Processing Level
1A
Published
Updated
Science Keywords
Plant Characteristics,
Plant Phenology,
Vegetation Cover,
Vegetation Index

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Milliman, T., Seyednasrollah, B., Young, A. M., Hufkens, K., Friedl, M. A., Frolking, S., Richardson, A. D., Abraha, M., Allen, D. W., Apple, M., Arain, M. A., Baker, J., Baker, J. M., Bernacchi, C. J., Bhattacharjee, J., Blanken, P., Bosch, D. D., Boughton, R., Boughton, E. H., … Verfaillie, J. (2019). PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018 (Version 2). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1689 Date Accessed: 2025-10-08

Documents

Dataset Resources

View All Learning Resources View All News & Events
Filters
No Results

Publications Citing This Dataset

Filters
Title Year Author
Predicting spring phenology in deciduous broadleaf forests: NEON phenology forecasting community challenge
VCPNET: A new dataset to benchmark vegetation carbon phenology metrics
The effects of alternate wetting and drying irrigation on water use efficiency in Mid-South rice
Near surface camera informed agricultural land monitoring for climate smart agriculture
Signatures of autumn deluges revealed during spring drought in a semi-arid grassland
Exploring discrepancies between in situ phenology and remotely derived phenometrics at <scp>NEON</scp> sites
Modification of a Wavelet-Based Method for Detecting Ebullitive Methane Fluxes in Eddy-Covariance Observations: Application at Two Rice Fields
Comparison of the Two Most Common Phenology Algorithms Imbedded in Land Surface Models
Seasonality in aerodynamic resistance across a range of North American ecosystems
Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework
SHOWING 10 OF 12