Using Deep Learning to Automate Orangutan Nest Detections on Aerial Images Collected With Drones
| dc.contributor.author | Wich, Serge | |
| dc.contributor.author | Ancrenaz, Marc | |
| dc.contributor.author | Goossens, Benoit | |
| dc.contributor.author | Hennekam, Molly | |
| dc.contributor.author | Milne, Sol | |
| dc.contributor.author | Burslem, David | |
| dc.contributor.author | Knott, Cheryl | |
| dc.contributor.author | Martin, Julien | |
| dc.contributor.author | Fergus, Paul | |
| dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
| dc.contributor.institution | University of Aberdeen.Vice Principals | en |
| dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
| dc.date.accessioned | 2025-12-09T08:56:01Z | |
| dc.date.issued | 2025-12 | |
| dc.description | They thank Amaziasizamoria Jumail for flying the drone at DGFC and Keeyen Pang for flying at Sukau. For the research in the UNDP-GEF project area in Sabah, they are grateful to the Sabah Biodiversity Council for research approval (Ref: JKM/MBS.1000-2/2 JLD.6 (79)), the Department of Aviation Malaysia for approving the use of drones at the research site (Ref: UMS/IBTP7.2/800), Yayasan Sabah Sdn. Bhd, Charles Garcia and Ronnie Bibi and the Sabah Forestry Department for logistical support, and HUTAN/KOCP for training. They are indebted to the team of research assistants (Azuan, Adzim, Alul, Daus, Pidiy, Alex, and Jerry), and to funding from UNDP-GEF. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 8 | |
| dc.format.extent | 923917 | |
| dc.identifier | 311798183 | |
| dc.identifier | fc3c16e1-db22-4428-a74e-382b8067da8f | |
| dc.identifier.citation | Wich, S, Ancrenaz, M, Goossens, B, Hennekam, M, Milne, S, Burslem, D, Knott, C, Martin, J & Fergus, P 2025, 'Using Deep Learning to Automate Orangutan Nest Detections on Aerial Images Collected With Drones', American Journal of Primatology, vol. 87, no. 12, e70100. https://doi.org/10.1002/ajp.70100 | en |
| dc.identifier.doi | 10.1002/ajp.70100 | |
| dc.identifier.issn | 0275-2565 | |
| dc.identifier.other | RIS: urn:5855FC0AACE922BD8A6785927AF85883 | |
| dc.identifier.other | ORCID: /0000-0001-6033-0990/work/199808203 | |
| dc.identifier.uri | https://hdl.handle.net/2164/26512 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | American Journal of Primatology | en |
| dc.subject | great apes | en |
| dc.subject | Indonesia | en |
| dc.subject | line transects | en |
| dc.subject | Malaysia | en |
| dc.subject | monitoring | en |
| dc.subject | QL Zoology | en |
| dc.subject | Supplementary Data | en |
| dc.subject | DAS | en |
| dc.subject.lcc | QL | en |
| dc.title | Using Deep Learning to Automate Orangutan Nest Detections on Aerial Images Collected With Drones | en |
| dc.type | Journal article | en |
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