Assessing the effect of human activities on biophony in urban forests using an automated acoustic scene classification model

Assessing the effect of human activities on biophony in urban forests using an automated acoustic scene classification model

Monitoring biodiversity and assessing the impact of human activities using acoustics is a promising area in the field of urban ecology. Previous studies on urban biodiversity using acoustics are often limited by data continuity and survey scope, making it difficult to answer questions about relation...

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Bibliographic Details
Main Authors: Zezhou Hao, Haisong Zhan, Chengyun Zhang, Nancai Pei, Bing Sun, Jihong He, Ruichen Wu, Xinhui Xu, Cheng Wang
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Ecological Indicators
Subjects:
Acoustic scenes
Bioacoustic
Biodiversity
Human activity
Machine learning
Urban noise
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X22009104

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http://www.sciencedirect.com/science/article/pii/S1470160X22009104

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