Skip to main content

Utilising Drone Technology in Primatology for 3D Mapping.

Marsh, C., Hill, R.A., Nowak, M., Abdullah, A. and Korstjens, A., 2020. Utilising Drone Technology in Primatology for 3D Mapping. In: Our Primate Heritage, Our Primate Legacy: 8th European Federation for Primatology Meeting and 2019 Primate Society of Great Britain Winter Meeting (EFP-PSGB), 8-11 September 2019, Oxford, UK, 266.

Full text available as:

PDF (Abstract published in Folia Primatologica 2020, 91 (3), 266)
KorstjensHill_ea_2020Abstract_PSGB_EFP_Oxford2019.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.1159/000502392


Emergent Unmanned Aerial System (or drone) technology allows the 3-dimensional mapping of forest landscapes, allowing a new perspective of arboreal primate habitat use. Utilising UASs in primatological studies enables the assessment of habitat quality for different arboreal primate species, the identification of discreet forms of anthropogenic disturbance (such as historical selective logging), and detailed investigation of canopy use by arboreal primate species. Combining 3D canopy structure with microclimate measurements, we can see how canopy structure buffers solar radiation and how arboreal species may be affected by future climate change. We present data on a study of the arboreal primate community in a lowland section of the Gunung Leuser Ecosystem in northern Sumatra, focusing on how 3D canopy structure effects ranging (siamang, Symphalangus syndactylus), different primate species’ population densities (lar gibbon, Hylobates lar, siamang and Thomas langur, Presbytis thomasi) and habitat selection (orang-utan, Pongo abelii and siamang) and how UAS technology can be utilised in other future studies; the potential opportunities, challenges and pitfalls.

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Science & Technology
ID Code:34209
Deposited By: Symplectic RT2
Deposited On:25 Jun 2020 13:38
Last Modified:14 Mar 2022 14:22


Downloads per month over past year

More statistics for this item...
Repository Staff Only -