The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Remotely Piloted Aircraft Systems as a Rhinoceros Anti-Poaching Tool in Africa
Open accessAbstract
Over the last years there has been a massive increase in rhinoceros poaching incidents, with more than two individuals killed per day in South Africa in the first months of 2013. Immediate actions are needed to preserve current populations and the agents involved in their protection are demanding new technologies to increase their efficiency in the field. We assessed the use of remotely piloted aircraft systems (RPAS) to monitor for poaching activities. We performed 20 flights with 3 types of cameras: visual photo, HD video and thermal video, to test the ability of the systems to detect (a) rhinoceros, (b) people acting as poachers and (c) to do fence surveillance. The study area consisted of several large game farms in KwaZulu-Natal province, South Africa. The targets were better detected at the lowest altitudes, but to operate the plane safely and in a discreet way, altitudes between 100 and 180 m were the most convenient. Open areas facilitated target detection, while forest habitats complicated it. Detectability using visual cameras was higher at morning and midday, but the thermal camera provided the best images in the morning and at night. Considering not only the technical capabilities of the systems but also the poacherś modus operandi and the current control methods, we propose RPAS usage as a tool for surveillance of sensitive areas, for supporting field anti-poaching operations, as a deterrent tool for poachers and as a complementary method for rhinoceros ecology research. Here, we demonstrate that low cost RPAS can be useful for rhinoceros stakeholders for field control procedures. There are, however, important practical limitations that should be considered for their successful and realistic integration in the anti-poaching battle.
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Cites
Convention on International Trade in Endangered Species of Wild Fauna and Flora
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Dawn of Drone Ecology: Low-Cost Autonomous Aerial Vehicles for Conservation
Koh, L. P., & Wich, S. A. (2012) · Tropical Conservation Science · doi:10.1177/194008291200500202 · Cited by 732
Assessing biodiversity in forests using very high‐resolution images and unmanned aerial vehicles
Getzin, S., Wiegand, K., & Schöning, I. (2012) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2011.00158.x · Cited by 323
Unmanned Aerial Survey of Elephants
Vermeulen, C., Lejeune, P., Lisein, J., Sawadogo, P., & Bouché, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054700 · Cited by 321
An Assessment of Small Unmanned Aerial Vehicles for Wildlife Research
JONES, G. P., PEARLSTINE, L. G., & PERCIVAL, H. F. (2006) · Wildlife Society Bulletin · doi:10.2193/0091-7648(2006)34[750:aaosua]2.0.co;2 · Cited by 278
Small Unmanned Aircraft Systems for Low‐Altitude Aerial Surveys
Watts, A. C., Perry, J., Smith, S. E., et al. (2010) · Journal of Wildlife Management · doi:10.1111/j.1937-2817.2010.tb01292.x · Cited by 163
Evaluation of an off-the-shelf Unmanned Aircraft System for Surveying Flocks of Geese
Chabot, D., & Bird, D. M. (2012) · Waterbirds · doi:10.1675/063.035.0119 · Cited by 138
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Self-citationAnthropogenic Influences on Conservation Values of White Rhinoceros
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Cited by
Gonzalez, L., Montes, G., Puig, E., Johnson, S., Mengersen, K., & Gaston, K. (2016) · Sensors · doi:10.3390/s16010097 · Cited by 470
Unmanned aircraft systems as a new source of disturbance for wildlife: A systematic review
Mulero-Pázmány, M., Jenni-Eiermann, S., Strebel, N., Sattler, T., Negro, J. J., & Tablado, Z. (2017) · PLOS ONE · doi:10.1371/journal.pone.0178448 · Cited by 319
Self-citationShakeri, R., Al-Garadi, M. A., Badawy, A., Mohamed, A., Khattab, T., Al-Ali, A. K., Harras, K. A., & Guizani, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2924143 · Cited by 295
Mapping infectious disease landscapes: unmanned aerial vehicles and epidemiology
Fornace, K. M., Drakeley, C. J., William, T., Espino, F., & Cox, J. (2014) · Trends in Parasitology · doi:10.1016/j.pt.2014.09.001 · Cited by 167
Networked Unmanned Aerial Vehicles for Surveillance and Monitoring: A Survey
Li, X., & Savkin, A. V. (2021) · Future Internet · doi:10.3390/fi13070174 · Cited by 107
Metadata
- Authors
- Mulero-Pázmány, M., Stolper, R., van Essen, L. D., Negro, J. J., & Sassen, T.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-01-08
- Volume
- 9
- Issue
- 1
- Pages
- e83873
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2088264916
- Cited by
- 323
- References
- 9
- FWCI
- 15.66
- Type
- journal article
- Language
- en
- Open access
- gold
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