Thermal drones are highly effective for detecting elusive Bennett’s tree kangaroos (Dendrolagus bennettianus) in Australia’s tropical rainforests
Emmeline Bernadette Barrett Norris A * and Johan Larson AA
Abstract
Tree kangaroos (Dendrolagus spp.) are poorly studied owing to their elusive arboreal nature, which makes detection difficult using traditional methods such as spotlighting and hand-held thermal cameras. This note documents the first successful detection of Bennett’s tree kangaroos (D. bennettianus) using thermal drones in tropical rainforest at Cape Tribulation, Australia. In less than an hour, six individuals were observed across 17 ha. The method proved minimally invasive and highly effective in rainforest environments despite dense vegetation and high temperatures, demonstrating both the unexpected abundance of this species and the utility of thermal drones for monitoring tropical arboreal fauna.
Keywords: arboreal mammals, population monitoring, remote sensing, RPAS, survey method, thermal infrared, UAV, wildlife conservation.
References
Beranek, C. T., Roff, A., Denholm, B., Howell, L. G., and Witt, R. R. (2021). Trialling a real-time drone detection and validation protocol for the koala (Phascolarctos cinereus). Australian Mammalogy 43(2), 260-264.
| Crossref | Google Scholar |
Burke, C., Rashman, M. F., Longmore, S. N., McAree, O., Glover-Kapfer, P., Ancrenaz, M., and Wich, S. A. (2019a). Successful observation of orangutans in the wild with thermal-equipped drones. Journal of Unmanned Vehicle Systems 7(3), 235-257.
| Crossref | Google Scholar |
Burke, C., Rashman, M., Wich, S., Symons, A., Theron, C., and Longmore, S. (2019b). Optimizing observing strategies for monitoring animals using drone-mounted thermal infrared cameras. International Journal of Remote Sensing 40(2), 439-467.
| Crossref | Google Scholar |
Collen, B., Ram, M., Zamin, T., and McRae, L. (2008). The tropical biodiversity data gap: addressing disparity in global monitoring. Tropical Conservation Science 1(2), 75-88.
| Crossref | Google Scholar |
IUCN (2024). The IUCN Red List of Threatened Species. Version 2024-2. https://www.iucnredlist.org. Accessed on 3 December 2024.
Kanowski, J., Hopkins, M. S., Marsh, H., and Winter, J. W. (2001). Ecological correlates of folivore abundance in north Queensland rainforests. Wildlife Research 28(1), 1-8.
| Crossref | Google Scholar |
Kanowski, J., Winter, J., Simmons, T., Tucker, N., and Rainforest CRC (2003). Conservation strategy for Lumholtz’s tree-kangaroo on the Atherton Tablelands. Ecological Management & Restoration 4, 220-221.
| Google Scholar |
Kays, R., Sheppard, J., McLean, K., Welch, C., Paunescu, C., Wang, V., Kravit, G., and Crofoot, M. (2019). Hot monkey, cold reality: surveying rainforest canopy mammals using drone-mounted thermal infrared sensors. International Journal of Remote Sensing 40(2), 407-419.
| Crossref | Google Scholar |
Krockenberger, A. K., Edwards, W., and Kanowski, J. (2012). The limit to the distribution of a rainforest marsupial folivore is consistent with the thermal intolerance hypothesis. Oecologia 168, 889-899.
| Crossref | Google Scholar | PubMed |
Laurance, W.F., and Laurance, S. G. W. (1996). Responses of five arboreal marsupials to recent selective logging in tropical Australia. Biotropica 28(3), 310-322.
| Crossref | Google Scholar |
Newell, G. R. (1999). Australia’s tree-kangaroos: current issues in their conservation. Biological Conservation 87(1), 1-12.
| Crossref | Google Scholar |
Pereyra Irujo, G. (2022). IRimage: open source software for processing images from infrared thermal cameras. PeerJ Computer Science 8, e977.
| Crossref | Google Scholar | PubMed |
Pinel-Ramos, E. J., Aureli, F., Wich, S., Longmore, S., and Spaan, D. (2024). Evaluating thermal infrared drone flight parameters on spider monkey detection in tropical forests. Sensors 24(17), 5659.
| Crossref | Google Scholar | PubMed |
Pocknee, C.A., Lahoz-Monfort, J. J., Martin, R. W., and Wintle, B. A. (2021). Cost-effectiveness of thermal imaging for monitoring a cryptic arboreal mammal. Wildlife Research 48(7), 625-634.
| Crossref | Google Scholar |
Santos, P. M., Kaizer, M. D., Moreira, D. O., Melo, F. R. D., and Mendes, S. L. (2023). Every flight is a surprise: First records of the southern maned three-toed sloth (Bradypus crinitus: Bradypodidae) through drones. Mammalia 87(3), 223-227.
| Crossref | Google Scholar |
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., Tinevez, J.-Y., White, D. J., Hartenstein, V., Eliceiri, K., Tomancak, P., and Cardona, A. (2012). Fiji: an open-source platform for biological-image analysis. Nature Methods 9(7), 676-682.
| Crossref | Google Scholar | PubMed |
Shima, A. L., Berger, L., and Skerratt, L. F. (2019). Conservation and health of Lumholtz’s tree-kangaroo (Dendrolagus lumholtzi). Australian Mammalogy 41(1), 57-64.
| Crossref | Google Scholar |
Underwood, A. H., Derhè, M. A., and Jacups, S. (2022). Thermal imaging outshines spotlighting for detecting cryptic, nocturnal mammals in tropical rainforests. Wildlife Research 49(6), 491-499.
| Crossref | Google Scholar |
van Berkel, T., Dahms, T., Mbende, M., Loota, J. B., and Jocqué, M. (2023). Detection of Bonobos (Pan paniscus) in tropical rainforest canopies using drone-based thermal imaging: a first step towards accurately estimating population sizes?. International Journal of Primatology 44(2), 240-244.
| Crossref | Google Scholar |
Wearn, O. R., Trinh-Dinh, H., Le, Q. K., and Nguyen, T. D. (2023). UAV-assisted counts of group size facilitate accurate population surveys of the Critically Endangered cao vit gibbon Nomascus nasutus. Oryx 58(2), 183-186.
| Crossref | Google Scholar |
Whitworth, A., Pinto, C., Ortiz, J., Flatt, E., and Silman, M. (2022). Flight speed and time of day heavily influence rainforest canopy wildlife counts from drone-mounted thermal camera surveys. Biodiversity and Conservation 31(13–14), 3179-3195.
| Crossref | Google Scholar |
Winter, J., Burnett, S., and Martin, R. (2019). Dendrolagus bennettianus. The IUCN Red List of Threatened Species 2019: e.T6426A21957127. http://dx.doi.org/10.2305/IUCN.UK.2019-1.RLTS.T6426A21957127.en