8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network
NAGAI, Shin
Research and Development Center for Global Change
Japan Agency for Marine-Earth Science and Technology [JAMSTEC]
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Research and Development Center for Global Change
Japan Agency for Marine-Earth Science and Technology [JAMSTEC]
NAGAI, Shin
Research and Development Center for Global Change
Japan Agency for Marine-Earth Science and Technology [JAMSTEC]
Research and Development Center for Global Change
Japan Agency for Marine-Earth Science and Technology [JAMSTEC]
MENZEL, Annette
Institute for Advanced Study [IAS]
Technische Universität Munchen - Technical University Munich - Université Technique de Munich [TUM]
< Reduce
Institute for Advanced Study [IAS]
Technische Universität Munchen - Technical University Munich - Université Technique de Munich [TUM]
Language
en
Article de revue
This item was published in
Ecological Research. 2018, vol. 33, n° 6, p. 1091-1092
Ecological Society of Japan
English Abstract
We report long-term continuous phenological and sky images taken by time-lapse cameras through the Phenological Eyes Network (http://www.pheno-eye.org. Accessed 29 May 2018) in various ecosystems from the Arctic to the ...Read more >
We report long-term continuous phenological and sky images taken by time-lapse cameras through the Phenological Eyes Network (http://www.pheno-eye.org. Accessed 29 May 2018) in various ecosystems from the Arctic to the tropics. Phenological images are useful in recording the year-to-year variability in the timing of flowering, leaf-flush, leaf-coloring, and leaf-fall and detecting the characteristics of phenological patterns and timing sensitivity among species and ecosystems. They can also help interpret variations in carbon, water, and heat cycling in terrestrial ecosystems, and be used to obtain ground-truth data for the validation of satellite-observed products. Sky images are useful in continuously recording atmospheric conditions and obtaining ground-truth data for the validation of cloud contamination and atmospheric noise present in satellite remote-sensing data. We have taken sky, forest canopy, forest floor, and shoot images of a range of tree species and landscapes, using time-lapse cameras installed on forest floors, towers, and rooftops. In total, 84 time-lapse cameras at 29 sites have taken 8 million images since 1999. Our images provide (1) long-term, continuous detailed records of plant phenology that are more quantitative than in situ visual phenological observations of index trees; (2) basic information to explain the responsiveness, vulnerability, and resilience of ecosystem canopies and their functions and services to changes in climate; and (3) ground-truthing for the validation of satellite remote-sensing observations.Read less <
Origin
Hal imported