Acoustic Monitoring for Biodiversity Conservation

Last updated on Aug 4, 2023
Photo by Haga

人間の聴覚を機械で拡張して自然が発する声を聞こう、というコンセプトのプロジェクトです。主に鳥類の地鳴きと囀りを対象に、深層学習技術を用いて種判別をするための技術開発をしています。ランドスケープ・エコロジーの応用で、環境音の情報から生物多様性の評価ができるようになるのが目標です。鳥だけではなく色々な自作の録音デバイスをキャンパス内に設置して、長期間の環境音モニタリングを実施しています。

nature biodiversity
Haga, Chihiro
Haga, Chihiro
Specially Appointed Assistant Professor

Haga, Chihiro is an landscape ecologist conducting a scenario analysis of nexuses between biodiversity and ecosystem services at a local scale. His research experiences include the application of the process-based forest landscape simulator for social-ecological systems modeling.

Related

Publications

Development of Bird Species Identifier Using Deep Learning Based on Convolutional Neural Network and Transformer Algorithms
Takumi Sato, Yuko Maegawa, Chihiro Haga, Takanori Matsui, Takashi Machimura
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Development of a Species Identification System of Japanese Bats from Echolocation Calls Using Convolutional Neural Networks
Bats inhabit all continents except Antarctica, and they have enormous potential as bioindicators. Therefore, monitoring bats helps us …
Keigo Kobayashi, Keisuke Masuda, Chihiro Haga, Takanori Matsui, Dai Fukui, Takashi Machimura
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A New Survey Method Using Convolutional Neural Networks for Automatic Classification of Bird Calls
Habitat and reproduction surveys of raptors are common components of environmental impact assessments. Raptors are few in number and …
Yuko Maegawa, Yuji Ushigome, Masato Suzuki, Karen Taguchi, Keigo Kobayashi, Chihiro Haga, Takanori Matsui
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