Location: Soil and Water Management Research
Title: PhenoCam dataset v2.0: vegetation phenology from digital camera imagery, 2000-2018Author
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SEYEDNASROLLAH, B - Northern Arizona University |
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YOUNG, A - Northern Arizona University |
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HUFKENS, K - Ghent University |
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MILLIMAN, T - University Of New Hampshire |
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FRIEDL, M - Boston University |
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FROLKING, S - University Of New Hampshire |
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RICHARDSON, A - Northern Arizona University |
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ABRAHA, M - Michigan State University |
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ALLEN, D - National Institute Of Standards & Technology (NIST) |
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APPLE, M - Montana Tech |
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Baker, John |
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Bosch, David |
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Browning, Dawn |
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Clark, Pat |
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Jaradat, Abdullah |
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Johnson, Jane |
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Keel, Earl |
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Reba, Michele |
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Sadler, Edward |
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Saliendra, Nicanor |
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Scott, Russell - Russ |
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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. |