Ise Takeshi

イセタケシ | Ise Takeshi

Affiliation and department：
Homepage URL (1)： http://fserc.kyoto-u.ac.jp/wp/staff/ise

Research field (1)： Environmental policy and society

Research theme for competitive and other funds (12)：

2024 - 2028 Impacts on hydrology, ecology, and human activities due to watershed development induced by permafrost degradation
2023 - 2026 表情認識と人物トラッキングによる「滞在と感動」の推定と地域特性に沿った観光振興
2022 - 2024 AIとUAVを活用したリモートセンシングの強化
2018 - 2023 Classifying vegetation using deep learning: clarification of characteristics of vegetation
2019 - 2022 人工衛星データと深層学習を用いた福島原発事故に係る環境評価

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Papers (52)：

Atsuhiko Uchida, Taishin Kameoka, Takeshi Ise, Hidetoshi Matsui, Yukiko Uchida. Social factors of urban greening: Demographics, zoning, and social capital. City and Environment Interactions. 2024. 100160-100160
Kosuke Takaya, Takeshi Ise, Yuki Taguchi. Identification of hybrids between the Japanese giant salamander (Andrias japonicus) and Chinese giant salamander (Andrias davidianus) using deep learning and smartphone images. 2023
Kosuke Takaya, Yuki Taguchi, Takeshi Ise. Individual identification of endangered amphibians using deep learning and smartphone images: case study of the Japanese giant salamander (Andrias japonicus). 2023
D. Tomojiri, K. Takaya, T. Ise. Temporal trends and spatial distribution of research topics in anthropogenic marine debris study: Topic modelling using latent Dirichlet allocation. Marine Pollution Bulletin. 2022. 182. 113917-113917
Hisashi Sato, Takeshi Ise. Predicting global terrestrial biomes with the LeNet convolutional neural network. GEOSCIENTIFIC MODEL DEVELOPMENT. 2022. 15. 7. 3121-3132

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MISC (64)：

高屋浩介, 田口勇輝, 伊勢武史. Individual identification of Japanese giant salamanders using deep learning. 日本生態学会大会講演要旨(Web). 2022. 69th
大西信徳, 伊勢武史. Development of Tree Species Identification and Stem Volume Estimation System Using UAV and Deep Learning. 日本生態学会大会講演要旨(Web). 2022. 69th
伊勢武史. Citizen science enabled by deep learning. 日本生態学会大会講演要旨(Web). 2022. 69th
高屋浩介, 家島輝, 芝田篤紀, 伊勢武史. Automatic identification of tall goldenrod through deep learning. 日本生態学会大会講演要旨(Web). 2021. 68th
伊勢武史. Obtaining environmental data by citizen science. 日本生態学会大会講演要旨(Web). 2021. 68th

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Patents (4)：

Books (17)：

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Lectures and oral presentations (168)：

人工知能による植生分類:既存データの活用が拡張する生態系観測
(日本生態学会第71回全国大会 2024)
永久凍土の荒廃を人工衛星データ解析と深層学習から見る
(超異分野学会大阪大会2023 2023)
東シベリアにおけるサーモカルストによる沈降地形出現に影響を与える環境要因
(日本地球惑星科学連合大会 2023 2023)
深層学習を用いた東シベリアにおけるサーモカルストによる沈降地形の自動検出
(日本地球惑星科学連合大会 2023 2023)
Deep learning-based satellite image classification using the chopped picture method for thermokarst detection
(ISAR-7, Tachikawa 2023)

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Education (1)：

Professional career (1)：

Work history (1)：

Committee career (7)：

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Awards (2)：

Association Membership(s) (2)：

JAPAN GEOSCIENCE UNION , ECOLOGICAL SOCIETY OF JAPAN

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