2018年6月26日
8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network
Ecological Research
- 巻
- 33
- 号
- 6
- 開始ページ
- 1
- 終了ページ
- 2
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1007/s11284-018-1633-x
- 出版者・発行元
- Springer Tokyo
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.
(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.
- リンク情報
- ID情報
-
- DOI : 10.1007/s11284-018-1633-x
- ISSN : 1440-1703
- ISSN : 0912-3814
- eISSN : 1440-1703
- SCOPUS ID : 85049119839