Haga, Chihiro
Cited by
Cited by
An end to end process development for UAV-SfM based forest monitoring: Individual tree detection, species classification and carbon dynamics simulation
A Fujimoto, C Haga, T Matsui, T Machimura, K Hayashi, S Sugita, ...
Forests 10 (8), 680, 2019
Scenario analysis of land-use and ecosystem services of social-ecological landscapes: implications of alternative development pathways under declining population in the Noto …
S Hashimoto, R DasGupta, K Kabaya, T Matsui, C Haga, O Saito, ...
Sustainability Science 14 (1), 53-75, 2019
Simulation of natural capital and ecosystem services in a watershed in Northern Japan focusing on the future underuse of nature: by linking forest landscape model and social …
C Haga, T Inoue, W Hotta, R Shibata, S Hashimoto, H Kurokawa, ...
Sustainability Science 14 (1), 89-106, 2019
Spatially explicit residential and working population assumptions for projecting and assessing natural capital and ecosystem services in Japan
T Matsui, C Haga, O Saito, S Hashimoto
Sustainability Science 14 (1), 23-37, 2019
Risk assessment of forest disturbance by typhoons with heavy precipitation in northern Japan
J Morimoto, M Aiba, F Furukawa, Y Mishima, N Yoshimura, S Nayak, ...
Forest Ecology and Management 479, 118521, 2021
Scenario Analysis of Renewable Energy–Biodiversity Nexuses Using a Forest Landscape Model
C Haga, M Maeda, W Hotta, T Inoue, T Matsui, T Machimura, M Nakaoka, ...
Frontiers in Ecology and Evolution 8, 155, 2020
A new survey method using convolutional neural networks for automatic classification of bird calls
Y Maegawa, Y Ushigome, M Suzuki, K Taguchi, K Kobayashi, C Haga, ...
Ecological Informatics 61, 101164, 2021
Development of a species identification system of Japanese bats from echolocation calls using convolutional neural networks
K Kobayashi, K Masuda, C Haga, T Matsui, D Fukui, T Machimura
Ecological Informatics 62, 101253, 2021
SDGs の目標達成に向けた環境音識別技術の開発: 深層学習を用いた日本産コウモリ 30 種の種判別システムの構築
小林啓悟, 芳賀智宏, 松井孝典, 福井大, 町村尚
聴覚研究会資料= Proceedings of the auditory research meeting 50 (2), 139-142, 2020
LANDIS-II を用いた北海道東部の森林における生態系機能のモデリング
井上貴央, 柴田英昭, 芳賀智宏, 松井孝典
日本森林学会大会発表データベース 第 131 回日本森林学会大会, 297, 2020
Development of a Method of Estimation of Total Floor Area Using Deep Learning Based on Nighttime-Light Data
R Saito, C Hirai, C Haga, T Matsui, H Shirakawa, H Tanikawa
Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research …, 2020
気候変動適応のための森林バイオマスと天然更新後の樹種構成変化のシミュレーション: 石川県でのケーススタディ
芳賀智宏, 堀尾亮太, 松井孝典, 町村尚
環境システム研究論文発表会講演集 45, 267-271, 2017
A Development of Simulation Process of Landscape Diversity in Satoyama Landscape for Future Scenario Assessment: Using the LANDIS-II Model and the Modified Satoyama INDEX …
C Haga, T Matsui, T Machimura
Journal of Japan Society of Civil Engineers, Ser. G (Environmental Research) 72, 2016
What can we tell about carbon emissions using a suite of satellite observations?
T Oda, C Haga, K Hosomi, T Matsui, LN Lamsal, NA Krotkov, MO Roman, ...
AGU Fall Meeting 2020, 0
The system can't perform the operation now. Try again later.
Articles 1–14