An Assessment of the Effectiveness of RGB-Camera Drones to Monitor Arboreal Mammals in Tropical Forests

Pinel-Ramos, EJ ORCID: 0009-0004-4442-9164, Aureli, F, Wich, S ORCID: 0000-0003-3954-5174, Rodrigues de Melo, F ORCID: 0000-0001-9958-2036, Rezende, C ORCID: 0000-0001-5348-6559, Brandão, F ORCID: 0009-0003-8257-4082, de Melo, FCSA ORCID: 0000-0002-7823-8460 and Spaan, D (2025) An Assessment of the Effectiveness of RGB-Camera Drones to Monitor Arboreal Mammals in Tropical Forests. Drones, 9 (9).

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Abstract

The use of drones for monitoring mammal populations has increased in recent years due to their relatively low cost, accessibility, and ability to survey large areas quickly and efficiently. The type of drone sensor used during surveys can significantly influence species detection probability. For arboreal mammals, thermal infrared (TIR) sensors are commonly used because they can detect heat signatures of canopy-dwelling species. However, drones equipped with TIR cameras are more expensive and thus less accessible to conservation practitioners who often work with limited funding compared to drones equipped exclusively with standard visual spectrum cameras (Red, Green, Blue; RGB drones). Although RGB drones may represent a viable low-cost alternative for wildlife monitoring, their effectiveness for monitoring arboreal mammals remains poorly understood. Our objective was to evaluate the use of RGB drones for monitoring arboreal mammals, focusing on Geoffroy’s spider monkeys (Ateles geoffroyi) and southern muriquis (Brachyteles arachnoides). We used pre-programmed flights for spider monkeys and manual flights for muriquis, selecting the most suitable method according to the landscape characteristics of each study site; flat terrain with relatively homogeneous forest canopy height and mountainous forests with highly variable canopy height, respectively. We detected spider monkeys in only 0.4% of the 232 flights, whereas we detected muriquis in 6.2% of the 113 flights. Considering that both species are highly arboreal, use the upper canopy, and share similar locomotion patterns and group size, differences in detectability are more likely related to the type of drone flights used in each case study than to species differences. Preprogrammed flights allow for systematic and efficient area coverage but limit real-time adjustments to environmental conditions such as wind, canopy structure, and visibility. In contrast, manual flights offer greater flexibility, with pilots being able to adjust speed, height, and flight path as needed and spend more time over specific areas to conduct a more exhaustive search. This flexibility likely contributed to the higher detection rate observed in the muriqui study, but detectability was still low. The findings of the two studies suggest that RGB drones are better suited as a complementary tool rather than a primary method for monitoring arboreal mammals in dense forest habitats. Nonetheless, RGB drones offer valuable opportunities for other applications, and we highlight several examples of their potential utility in arboreal mammal research and conservation.

Item Type:	Article
Uncontrolled Keywords:	40 Engineering; 46 Information and computing sciences
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QL Zoology
Divisions:	Biological and Environmental Sciences (from Sep 19)
Publisher:	MDPI
Date of acceptance:	2 September 2025
Date of first compliant Open Access:	5 September 2025
Date Deposited:	05 Sep 2025 15:53
Last Modified:	05 Sep 2025 16:00
DOI or ID number:	10.3390/drones9090622
URI:	https://researchonline.ljmu.ac.uk/id/eprint/27107

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