The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation
Open accessAbstract
Surveying threatened and invasive species to obtain accurate population estimates is an important but challenging task that requires a considerable investment in time and resources. Estimates using existing ground-based monitoring techniques, such as camera traps and surveys performed on foot, are known to be resource intensive, potentially inaccurate and imprecise, and difficult to validate. Recent developments in unmanned aerial vehicles (UAV), artificial intelligence and miniaturized thermal imaging systems represent a new opportunity for wildlife experts to inexpensively survey relatively large areas. The system presented in this paper includes thermal image acquisition as well as a video processing pipeline to perform object detection, classification and tracking of wildlife in forest or open areas. The system is tested on thermal video data from ground based and test flight footage, and is found to be able to detect all the target wildlife located in the surveyed area. The system is flexible in that the user can readily define the types of objects to classify and the object characteristics that should be considered during classification.
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Citations
Cites
Lightweight unmanned aerial vehicles will revolutionize spatial ecology
Anderson, K., & Gaston, K. J. (2013) · Frontiers in Ecology and the Environment · doi:10.1890/120150 · Cited by 1,397
Self-citationBurton, A. C., Neilson, E., Moreira, D., Ladle, A., Steenweg, R., Fisher, J. T., Bayne, E., & Boutin, S. (2015) · Journal of Applied Ecology · doi:10.1111/1365-2664.12432 · Cited by 1,258
The sizes of species’ geographic ranges
Gaston, K. J., & Fuller, R. A. (2009) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2008.01596.x · Cited by 579
Self-citationLinchant, J., Lisein, J., Semeki, J., Lejeune, P., & Vermeulen, C. (2015) · Mammal Review · doi:10.1111/mam.12046 · Cited by 500
Unmanned Aerial Vehicles (UAVs) for Surveying Marine Fauna: A Dugong Case Study
Hodgson, A., Kelly, N., & Peel, D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079556 · Cited by 401
Bears Show a Physiological but Limited Behavioral Response to Unmanned Aerial Vehicles
Ditmer, M. A., Vincent, J. B., Werden, L. K., Tanner, J. C., Laske, T. G., Iaizzo, P. A., Garshelis, D. L., & Fieberg, J. R. (2015) · Current Biology · doi:10.1016/j.cub.2015.07.024 · Cited by 350
Remotely Piloted Aircraft Systems as a Rhinoceros Anti-Poaching Tool in Africa
Mulero-Pázmány, M., Stolper, R., van Essen, L. D., Negro, J. J., & Sassen, T. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083873 · 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
Wildlife research and management methods in the 21st century: Where do unmanned aircraft fit in?
Chabot, D., & Bird, D. M. (2015) · Journal of Unmanned Vehicle Systems · doi:10.1139/juvs-2015-0021 · Cited by 286
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
Cited by
Terrestrial mammalian wildlife responses to Unmanned Aerial Systems approaches
Bennitt, E., Bartlam-Brooks, H. L. A., Hubel, T. Y., & Wilson, A. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-38610-x · Cited by 85
Schroeder, N. M., Panebianco, A., Gonzalez Musso, R., & Carmanchahi, P. (2020) · Royal Society Open Science · doi:10.1098/rsos.191482 · Cited by 66
Metadata
- Authors
- Gonzalez, L., Montes, G., Puig, E., Johnson, S., Mengersen, K., & Gaston, K.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2016-01-14
- Volume
- 16
- Issue
- 1
- Pages
- 97
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2236370645
- Cited by
- 470
- References
- 19
- FWCI
- 28.52
- Type
- journal article
- Language
- en
- Open access
- gold
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- Gonzalez, L., Montes, G., Puig, E., Johnson, S., Mengersen, K., & Gaston, K. (2016). Unmanned Aerial Vehicles (UAVs) and Artificial Intelligence Revolutionizing Wildlife Monitoring and Conservation. Sensors. https://doi.org/10.3390/s16010097
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
