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; 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; Shinpei Yoshitake; Matthew Wilkinson; Lisa Wingate; Kenlo Nishida Nasahara

doi: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

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 MatsuokaTrofim 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, Shinpei Yoshitake, Matthew Wilkinson, Lisa Wingate, Kenlo Nishida Nasahara

Research output: Contribution to journal › Comment/debate › peer-review

39 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 language	English
Pages (from-to)	1091-1092
Number of pages	2
Journal	Ecological Research
Volume	33
Issue number	6
DOIs	https://doi.org/10.1007/s11284-018-1633-x
Publication status	Published - 2018 Nov 1

Bibliographical note

Publisher Copyright:
© 2018, The Ecological Society of Japan.

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s11284-018-1633-x

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Nagai, S., Akitsu, T., Saitoh, T. M., Busey, R. C., Fukuzawa, K., Honda, Y., Ichie, T., Ide, R., Ikawa, H., Iwasaki, A., Iwao, K., Kajiwara, K., Kang, S., Kim, Y., Khoon, K. L., Kononov, A. V., Kosugi, Y., Maeda, T., Mamiya, W., ... 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

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

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title = "8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network",

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.",

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

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

note = "Publisher Copyright: {\textcopyright} 2018, The Ecological Society of Japan.",

year = "2018",

month = nov,

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doi = "10.1007/s11284-018-1633-x",

language = "English",

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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, Shinpei

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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DO - 10.1007/s11284-018-1633-x

M3 - Comment/debate

AN - SCOPUS:85049119839

SN - 0912-3814

VL - 33

SP - 1091

EP - 1092

JO - Ecological Research

JF - Ecological Research

IS - 6

ER -

8 million phenological and sky images from 29 ecosystems from the Arctic to the tropics: the Phenological Eyes Network

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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