Original language | English |
---|---|
Pages (from-to) | 475-487 |
Number of pages | 13 |
Journal | Remote Sensing in Ecology and Conservation |
Volume | 7 |
Issue number | 3 |
Early online date | 8 Apr 2021 |
DOIs | |
Publication status | Published - Sept 2021 |
Keywords
- Bioacoustics
- convolutional neural networks
- deep learning
- Hainan gibbons
- passive acoustic monitoring
- species identification
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In: Remote Sensing in Ecology and Conservation, Vol. 7, No. 3, 09.2021, p. 475-487.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Automated detection of Hainan gibbon calls for passive acoustic monitoring
AU - Dufourq, Emmanuel
AU - Durbach, Ian
AU - Hansford, James P.
AU - Hoepfner, Amanda
AU - Ma, Heidi
AU - Bryant, Jessica V.
AU - Stender, Christina S.
AU - Li, Wenyong
AU - Liu, Zhiwei
AU - Chen, Qing
AU - Zhou, Zhaoli
AU - Turvey, Samuel T.
N1 - Funding Information: We thank the Management Office of Bawangling National Nature Reserve for logistical assistance in the field. Fieldwork was funded by an Arcus Foundation grant to STT and a Wildlife Acoustics grant to JVB. ID is supported in part by funding from the National Research Foundation of South Africa (Grant ID 90782, 105782). ED is supported by a postdoctoral fellowship from the African Institute for Mathematical Sciences South Africa, Stellenbosch University and the Next Einstein Initiative. This work was carried out with the aid of a grant from the International Development Research Centre, Ottawa, Canada ( www.idrc.ca ), and with financial support from the Government of Canada, provided through Global Affairs Canada (GAC; www.international.gc.ca ). We also thank the following rangers who contributed to data collection: Guang Wei, Zhong Zhao, Qing Lin, Jinbing Zhang, Zhicheng Zhang, Quanjin Li, Xiaoliang Fu, Zhengchong Zhou, Lubiao Huang, Zhengkun Ye, Zhenghai Zou, Jinqiang Wang, Wentao Han and Zengnan Xie. Funding Information: Fieldwork was funded by an Arcus Foundation grant to STT and a Wildlife Acoustics grant to JVB. ID is supported in part by funding from the National Research Foundation of South Africa (Grant ID 90782, 105782). ED is supported by a postdoctoral fellowship from the African Institute for Mathematical Sciences South Africa, Stellenbosch University and the Next Einstein Initiative. This work was carried out with the aid of a grant from the International Development Research Centre, Ottawa, Canada (www.idrc.ca), and with financial support from the Government of Canada, provided through Global Affairs Canada (GAC; www.international.gc.ca). We thank the Management Office of Bawangling National Nature Reserve for logistical assistance in the field. Fieldwork was funded by an Arcus Foundation grant to STT and a Wildlife Acoustics grant to JVB. ID is supported in part by funding from the National Research Foundation of South Africa (Grant ID 90782, 105782). ED is supported by a postdoctoral fellowship from the African Institute for Mathematical Sciences South Africa, Stellenbosch University and the Next Einstein Initiative. This work was carried out with the aid of a grant from the International Development Research Centre, Ottawa, Canada (www.idrc.ca), and with financial support from the Government of Canada, provided through Global Affairs Canada (GAC; www.international.gc.ca). We also thank the following rangers who contributed to data collection: Guang Wei, Zhong Zhao, Qing Lin, Jinbing Zhang, Zhicheng Zhang, Quanjin Li, Xiaoliang Fu, Zhengchong Zhou, Lubiao Huang, Zhengkun Ye, Zhenghai Zou, Jinqiang Wang, Wentao Han and Zengnan Xie. Funding Information: Fieldwork was funded by an Arcus Foundation grant to STT and a Wildlife Acoustics grant to JVB. ID is supported in part by funding from the National Research Foundation of South Africa (Grant ID 90782, 105782). ED is supported by a postdoctoral fellowship from the African Institute for Mathematical Sciences South Africa, Stellenbosch University and the Next Einstein Initiative. This work was carried out with the aid of a grant from the International Development Research Centre, Ottawa, Canada ( www.idrc.ca ), and with financial support from the Government of Canada, provided through Global Affairs Canada (GAC; www.international.gc.ca ). Publisher Copyright: © 2021 The Authors. Remote Sensing in Ecology and Conservation published by John Wiley & Sons Ltd on behalf of Zoological Society of London.
PY - 2021/9
Y1 - 2021/9
KW - Bioacoustics
KW - convolutional neural networks
KW - deep learning
KW - Hainan gibbons
KW - passive acoustic monitoring
KW - species identification
UR - http://www.scopus.com/inward/record.url?scp=85104027858&partnerID=8YFLogxK
U2 - 10.1002/rse2.201
DO - 10.1002/rse2.201
M3 - Article
AN - SCOPUS:85104027858
SN - 2056-3485
VL - 7
SP - 475
EP - 487
JO - Remote Sensing in Ecology and Conservation
JF - Remote Sensing in Ecology and Conservation
IS - 3
ER -