Tracking vegetation phenology across diverse biomes using Version 2.0 of the PhenoCam Dataset

Scientific data - Tập 6 Số 1
Bijan Seyednasrollah1,2,3, Adam M. Young2,3, Koen Hufkens4,5, Tom Milliman6, M. A. Friedl7, Steve Frolking6, Andrew D. Richardson2,3
1Department of Organismic and Evolutionary Biology (Cambridge - United States)
2Northern Arizona University [Flagstaff] (Flagstaff Arizona 86011 - United States)
3SICCS - School of Informatics, Computing, and Cyber Systems (PO Box 5693, Flagstaff, AZ 86011 - United States)
4Faculty of Bioscience Engineering (Belgium)
5UMR ISPA - Interactions Sol Plante Atmosphère (F - 3388 3 Villenave d'Ornon Cedex - France)
6UNH - University of New Hampshire (Durham, NH 03824 - United States)
7Department of Earth and Environment [Boston] (675 Commonwealth Avenue, Boston, Massachusetts 02215 - United States)

Tóm tắt

AbstractMonitoring vegetation phenology is critical for quantifying climate change impacts on ecosystems. We present an extensive dataset of 1783 site-years of phenological data derived from PhenoCam network imagery from 393 digital cameras, situated from tropics to tundra across a wide range of plant functional types, biomes, and climates. Most cameras are located in North America. Every half hour, cameras upload images to the PhenoCam server. Images are displayed in near-real time and provisional data products, including timeseries of the Green Chromatic Coordinate (Gcc), are made publicly available through the project web page (https://phenocam.sr.unh.edu/webcam/gallery/). Processing is conducted separately for each plant functional type in the camera field of view. The PhenoCam Dataset v2.0, described here, has been fully processed and curated, including outlier detection and expert inspection, to ensure high quality data. This dataset can be used to validate satellite data products, to evaluate predictions of land surface models, to interpret the seasonality of ecosystem-scale CO2 and H2O flux data, and to study climate change impacts on the terrestrial biosphere.

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