Year-to-year blooming phenology observation using time-lapse digital camera images
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- NAGAI Shin
- Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
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- YOSHITAKE Shinpei
- River Basin Research Center, Gifu University
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- INOUE Tomoharu
- Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
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- SUZUKI Rikie
- Department of Environmental Geochemical Cycle Research, Japan Agency for Marine-Earth Science and Technology (JAMSTEC)
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- MURAOKA Hiroyuki
- River Basin Research Center, Gifu University
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- NASAHARA Kenlo Nishida
- Faculty of Life and Environmental Sciences, University of Tsukuba
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- SAITOH Taku M
- River Basin Research Center, Gifu University
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抄録
Long-term continuous phenological observation of cherry tree blooming is an important and challenging task in the evaluation of year-to-year weather and climate changes in spring in Japan. Here, (1) we performed daily field observations with a time-lapse digital camera in a deciduous broad-leaved forest in Japan from January 2004 to December 2013; and (2) we detected year-to-year variations in the blooming phenology of Prunus sargentii by visual inspection of the images and by image analysis. We found that (1) the red digital numbers (i.e., the digital intensity values of the red pixels; DNR) extracted from the time-lapse digital camera images tended to peak in full bloom; and (2) the green excess index (GEI) (based on the red, green, and blue digital numbers) tended to be lowest in full bloom. These results indicate that DNR and GEI are useful for detecting the timing of full bloom in P. sargentii.
収録刊行物
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- 農業気象
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農業気象 70 (3), 163-170, 2014
日本農業気象学会
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詳細情報 詳細情報について
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- CRID
- 1390282679645859200
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- NII論文ID
- 130004687437
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- NII書誌ID
- AA11530034
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- ISSN
- 18810136
- 00218588
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- NDL書誌ID
- 025809599
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可