Journal article
Comparison of sampling precision for nearshore marine wildlife using unmanned and manned aerial surveys
Journal of unmanned vehicle systems, Vol.8(1), pp.30-43
2020
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Source: InCites
Abstract
Aerial surveys of large marine wildlife in nearshore areas can support management actions to ensure conservation of this megafauna. While most aerial surveys of marine wildlife have been carried out using manned aircraft, unmanned aerial systems (commonly known as drones) are being increasingly used. Here, we compare the relative accuracy and precision of marine wildlife surveys from a multirotor drone and a manned helicopter for the first time. At two locations on the east coast of Australia, we simultaneously surveyed sharks (including white sharks, Carcharodon carcharias), dolphins, rays, and sea turtles in nearshore coastal areas using a multirotor drone (DJI Inspire I) and a helicopter (Robinson 44 Clipper II) over 26 separate flights. Sampling included the real-time quantification of marine wildlife by an observer in the helicopter and the pilot of the drone. The video feed from the drone was then later re-sampled in the laboratory. Of the three methods, post-hoc analysis of drone video footage is likely to provide the most accurate and precise estimates of marine wildlife in nearshore areas. When real-time data are required (e.g., for shark-risk mitigation), manned helicopters (over larger stretches of coast) and drones (across localised beaches) will both be useful.
Details
- Title
- Comparison of sampling precision for nearshore marine wildlife using unmanned and manned aerial surveys
- Creators
- Brendan P Kelaher (Author) - Southern Cross UniversityVictor M Peddemors (Author) - New South Wales. Department of Primary IndustriesBrent Hoade (Author) - New South Wales. Department of Primary IndustriesAndrew P Colefax (Author) - Southern Cross UniversityPaul A Butcher (Author) - Southern Cross University
- Publication Details
- Journal of unmanned vehicle systems, Vol.8(1), pp.30-43
- Publisher
- Canadian Science Publishing
- Identifiers
- 991012892299402368
- Academic Unit
- Faculty of Science and Engineering; National Marine Science Centre; School of Environment, Science and Engineering; Science
- Language
- English
- Resource Type
- Journal article