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Nagai, Shin
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1

Perspective: Improving the accuracy of plant phenology obse..:

Nagai Shin ; Chifuyu Katsumata ; Tomoaki Miura...
https://www.frontiersin.org/articles/10.3389/ffgc.2023.1106723/full.  , 2023
Link: https://doi.org/10.3389/..
 
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2

Monitoring of cherry flowering phenology with Google Trends:

Nagai Shin ; Ayumi Kotani ; Shunsuke Tei.
https://doi.org/10.1371/journal.pone.0271648.  , 2022
Link: https://doi.org/10.1371/..
 
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3

Evaluation of Land Surface Phenology for Autumn Leaf Color ..:

Narumasa Tsutsumida ; Nagai Shin ; Tomoaki Miura
https://www.mdpi.com/2072-4292/14/9/2017.  , 2022
Link: https://doi.org/10.3390/..
 
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4

Evaluation of Land Surface Phenology for Autumn Leaf Color ..:

Narumasa Tsutsumida ; Nagai Shin ; Tomoaki Miura
Environmental Remote Sensing.  , 2022
Link: https://doi.org/10.3390/..
 
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5

Changes in Forest Conditions in a Siberian Larch Forest Ind..:

Aleksandr Nogovitcyn ; Ruslan Shakhmatov ; Tomoki Morozumi...
https://www.mdpi.com/1999-4907/13/8/1331.  , 2022
Link: https://doi.org/10.3390/..
 
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6

Changes in Forest Conditions in a Siberian Larch Forest Ind..:

Aleksandr Nogovitcyn ; Ruslan Shakhmatov ; Tomoki Morozumi...
Forest Ecophysiology and Biology.  , 2022
Link: https://doi.org/10.3390/..
 
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7

Geographical, Climatological, and Biological Characteristic..:

Shunsuke Tei ; Ayumi Kotani ; Atsuko Sugimoto.
https://www.frontiersin.org/articles/10.3389/ffgc.2021.687749/full.  , 2021
Link: https://doi.org/10.3389/..
 
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8

Seasonality in Human Interest in Berry Plants Detection by ..:

Ayumi Kotani ; Nagai Shin ; Shunsuke Tei..
https://www.frontiersin.org/articles/10.3389/ffgc.2021.688835/full.  , 2021
Link: https://doi.org/10.3389/..
 
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9

Usefulness of Social Sensing Using Text Mining of Tweets fo..:

Nagai Shin ; Yasuyuki Maruya ; Taku M. Saitoh.
https://www.frontiersin.org/articles/10.3389/ffgc.2021.659910/full.  , 2021
Link: https://doi.org/10.3389/..
 
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10

How did the characteristics of the growing season change du..:

Nagai Shin ; Taku M Saitoh ; Kenlo Nishida Nasahara
https://doi.org/10.1371/journal.pone.0255078.  , 2021
Link: https://doi.org/10.1371/..
 
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11

The Asia‐Pacific Biodiversity Observation Network : 10‐year..:

Takeuchi, Yayoi ; Muraoka, Hiroyuki ; Yamakita, Takehisa...
Takeuchi, Y., Muraoka, H., Yamakita, T., Kano, Y., Nagai, S., Bunthang, T., Costello, M. J., Darnaedi, D., Diway, B., Ganyai, T., Grudpan, C., Hughes, A., Ishii, R., Lim, P. T., Ma, K., Muslim, A. M., Nakano, S., Nakaoka, M., Nakashizuka, T., . Yahara, T. (2021). The Asia‐Pacific Biodiversity Observation Network: 10‐year achievements and new strategies to 2030. Ecological Research, 36(2), 232-257. doi:.  , 2021
Link: https://hdl.handle.net/1..
 
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12

Measuring phenology uncertainty with large scale image proc..:

Alles, Guilherme, Rezende ; Comba, João, L D ; Vincent, Jean-Marc..
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecoinf.2020.101109.  , 2020
Link: https://inria.hal.scienc..
 
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13

Measuring phenology uncertainty with large scale image proc..:

Alles, Guilherme ; Comba, João ; Vincent, Jean-Marc..
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecoinf.2020.101109.  , 2020
Link: https://hal.inria.fr/hal..
 
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14

Improved Characterisation of Vegetation and Land Surface Se..:

Miura, Tomoaki ; Nagai, Shin ; Takeuchi, Mika..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6821777/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
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15

Correction: Anderson, H.B. et al. Using Ordinary Digital Ca..:

Anderson, Helen ; Nilsen, Lennart ; Tømmervik, Hans...
Remote Sensing.  , 2017
Link: https://hdl.handle.net/1..
 
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