8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics

the Phenological Eyes Network

Shin Nagai, Tomoko Akitsu, Taku M. Saitoh, Robert C. Busey, Karibu Fukuzawa, Yoshiaki Honda, Tomoaki Ichie, Reiko Ide, Hiroki Ikawa, Akira Iwasaki, Koki Iwao, Koji Kajiwara, Sinkyu Kang, Yongwon Kim, Kho Lip Khoon, Alexander V. Kononov, Yoshiko Kosugi, Takahisa Maeda, Wataru Mamiya, Masayuki Matsuoka & 36 others Trofim C. Maximov, Annette Menzel, Tomoaki Miura, Toshie Mizunuma, Tomoki Morozumi, Takeshi Motohka, Hiroyuki Muraoka, Hirohiko Nagano, Taro Nakai, Tatsuro Nakaji, Hiroyuki Oguma, Takeshi Ohta, Keisuke Ono, Runi Anak Sylvester Pungga, Roman E. Petrov, Rei Sakai, Christian Schunk, Seikoh Sekikawa, Ruslan Shakhmatov, Yowhan Son, Atsuko Sugimoto, Rikie Suzuki, Kentaro Takagi, Satoru Takanashi, Shunsuke Tei, Satoshi Tsuchida, Hirokazu Yamamoto, Eri Yamasaki, Megumi Yamashita, Tae Kyung Yoon, Toshiya Yoshida, Mitsunori Yoshimura, Shimpei Yoshitake, Matthew Wilkinson, Lisa Wingate, Kenlo Nishida Nasahara

Research output: Contribution to journalComment/debate

7 Citations (Scopus)

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 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.

Original languageEnglish
Pages (from-to)1091-1092
Number of pages2
JournalEcological Research
Volume33
Issue number6
DOIs
Publication statusPublished - 2018 Nov 1
Externally publishedYes

Fingerprint

cameras
Arctic region
tropics
eyes
forest litter
remote sensing
ecosystems
ecosystem
leaves
forest canopy
forest floor
phenology
climate change
canopy
flowering
heat
shoots
carbon
terrestrial ecosystem
vulnerability

Keywords

  • Boreal forest
  • Decadal data set
  • Digital camera
  • Grassland
  • Ground-truth
  • Phenological Eyes Network
  • Plant phenology
  • Sky image
  • Temperate forest
  • Tropical forest

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics

Cite this

Nagai, S., Akitsu, T., Saitoh, T. M., Busey, R. C., Fukuzawa, K., Honda, Y., ... Nasahara, K. N. (2018). 8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network. Ecological Research, 33(6), 1091-1092. https://doi.org/10.1007/s11284-018-1633-x

8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics : the Phenological Eyes Network. / Nagai, Shin; Akitsu, Tomoko; Saitoh, Taku M.; Busey, Robert C.; Fukuzawa, Karibu; Honda, Yoshiaki; Ichie, Tomoaki; Ide, Reiko; Ikawa, Hiroki; Iwasaki, Akira; Iwao, Koki; Kajiwara, Koji; Kang, Sinkyu; Kim, Yongwon; Khoon, Kho Lip; Kononov, Alexander V.; Kosugi, Yoshiko; Maeda, Takahisa; Mamiya, Wataru; Matsuoka, Masayuki; Maximov, Trofim C.; Menzel, Annette; Miura, Tomoaki; Mizunuma, Toshie; Morozumi, Tomoki; Motohka, Takeshi; Muraoka, Hiroyuki; Nagano, Hirohiko; Nakai, Taro; Nakaji, Tatsuro; Oguma, Hiroyuki; Ohta, Takeshi; Ono, Keisuke; Pungga, Runi Anak Sylvester; Petrov, Roman E.; Sakai, Rei; Schunk, Christian; Sekikawa, Seikoh; Shakhmatov, Ruslan; Son, Yowhan; Sugimoto, Atsuko; Suzuki, Rikie; Takagi, Kentaro; Takanashi, Satoru; Tei, Shunsuke; Tsuchida, Satoshi; Yamamoto, Hirokazu; Yamasaki, Eri; Yamashita, Megumi; Yoon, Tae Kyung; Yoshida, Toshiya; Yoshimura, Mitsunori; Yoshitake, Shimpei; Wilkinson, Matthew; Wingate, Lisa; Nasahara, Kenlo Nishida.

In: Ecological Research, Vol. 33, No. 6, 01.11.2018, p. 1091-1092.

Research output: Contribution to journalComment/debate

Nagai, S, Akitsu, T, Saitoh, TM, Busey, RC, Fukuzawa, K, Honda, Y, Ichie, T, Ide, R, Ikawa, H, Iwasaki, A, Iwao, K, Kajiwara, K, Kang, S, Kim, Y, Khoon, KL, Kononov, AV, Kosugi, Y, Maeda, T, Mamiya, W, Matsuoka, M, Maximov, TC, Menzel, A, Miura, T, Mizunuma, T, Morozumi, T, Motohka, T, Muraoka, H, Nagano, H, Nakai, T, Nakaji, T, Oguma, H, Ohta, T, Ono, K, Pungga, RAS, Petrov, RE, Sakai, R, Schunk, C, Sekikawa, S, Shakhmatov, R, Son, Y, Sugimoto, A, Suzuki, R, Takagi, K, Takanashi, S, Tei, S, Tsuchida, S, Yamamoto, H, Yamasaki, E, Yamashita, M, Yoon, TK, Yoshida, T, Yoshimura, M, Yoshitake, S, Wilkinson, M, Wingate, L & Nasahara, KN 2018, '8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network', Ecological Research, vol. 33, no. 6, pp. 1091-1092. https://doi.org/10.1007/s11284-018-1633-x
Nagai, Shin ; Akitsu, Tomoko ; Saitoh, Taku M. ; Busey, Robert C. ; Fukuzawa, Karibu ; Honda, Yoshiaki ; Ichie, Tomoaki ; Ide, Reiko ; Ikawa, Hiroki ; Iwasaki, Akira ; Iwao, Koki ; Kajiwara, Koji ; Kang, Sinkyu ; Kim, Yongwon ; Khoon, Kho Lip ; Kononov, Alexander V. ; Kosugi, Yoshiko ; Maeda, Takahisa ; Mamiya, Wataru ; Matsuoka, Masayuki ; Maximov, Trofim C. ; Menzel, Annette ; Miura, Tomoaki ; Mizunuma, Toshie ; Morozumi, Tomoki ; Motohka, Takeshi ; Muraoka, Hiroyuki ; Nagano, Hirohiko ; Nakai, Taro ; Nakaji, Tatsuro ; Oguma, Hiroyuki ; Ohta, Takeshi ; Ono, Keisuke ; Pungga, Runi Anak Sylvester ; Petrov, Roman E. ; Sakai, Rei ; Schunk, Christian ; Sekikawa, Seikoh ; Shakhmatov, Ruslan ; Son, Yowhan ; Sugimoto, Atsuko ; Suzuki, Rikie ; Takagi, Kentaro ; Takanashi, Satoru ; Tei, Shunsuke ; Tsuchida, Satoshi ; Yamamoto, Hirokazu ; Yamasaki, Eri ; Yamashita, Megumi ; Yoon, Tae Kyung ; Yoshida, Toshiya ; Yoshimura, Mitsunori ; Yoshitake, Shimpei ; Wilkinson, Matthew ; Wingate, Lisa ; Nasahara, Kenlo Nishida. / 8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics : the Phenological Eyes Network. In: Ecological Research. 2018 ; Vol. 33, No. 6. pp. 1091-1092.
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T2 - the Phenological Eyes Network

AU - Nagai, Shin

AU - Akitsu, Tomoko

AU - Saitoh, Taku M.

AU - Busey, Robert C.

AU - Fukuzawa, Karibu

AU - Honda, Yoshiaki

AU - Ichie, Tomoaki

AU - Ide, Reiko

AU - Ikawa, Hiroki

AU - Iwasaki, Akira

AU - Iwao, Koki

AU - Kajiwara, Koji

AU - Kang, Sinkyu

AU - Kim, Yongwon

AU - Khoon, Kho Lip

AU - Kononov, Alexander V.

AU - Kosugi, Yoshiko

AU - Maeda, Takahisa

AU - Mamiya, Wataru

AU - Matsuoka, Masayuki

AU - Maximov, Trofim C.

AU - Menzel, Annette

AU - Miura, Tomoaki

AU - Mizunuma, Toshie

AU - Morozumi, Tomoki

AU - Motohka, Takeshi

AU - Muraoka, Hiroyuki

AU - Nagano, Hirohiko

AU - Nakai, Taro

AU - Nakaji, Tatsuro

AU - Oguma, Hiroyuki

AU - Ohta, Takeshi

AU - Ono, Keisuke

AU - Pungga, Runi Anak Sylvester

AU - Petrov, Roman E.

AU - Sakai, Rei

AU - Schunk, Christian

AU - Sekikawa, Seikoh

AU - Shakhmatov, Ruslan

AU - Son, Yowhan

AU - Sugimoto, Atsuko

AU - Suzuki, Rikie

AU - Takagi, Kentaro

AU - Takanashi, Satoru

AU - Tei, Shunsuke

AU - Tsuchida, Satoshi

AU - Yamamoto, Hirokazu

AU - Yamasaki, Eri

AU - Yamashita, Megumi

AU - Yoon, Tae Kyung

AU - Yoshida, Toshiya

AU - Yoshimura, Mitsunori

AU - Yoshitake, Shimpei

AU - Wilkinson, Matthew

AU - Wingate, Lisa

AU - Nasahara, Kenlo Nishida

PY - 2018/11/1

Y1 - 2018/11/1

N2 - 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.

AB - 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.

KW - Boreal forest

KW - Decadal data set

KW - Digital camera

KW - Grassland

KW - Ground-truth

KW - Phenological Eyes Network

KW - Plant phenology

KW - Sky image

KW - Temperate forest

KW - Tropical forest

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