2017
DOI: 10.1093/icesjms/fsx100
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The potential for unmanned aerial vehicles (UAVs) to conduct marine fauna surveys in place of manned aircraft

Abstract: Unmanned aerial vehicles (UAVs) are increasingly used in marine wildlife research. As technological developments rapidly advance the versatility and functionality of affordable UAVs, their potential as a marine aerial survey tool is quickly gaining attention. Currently, there is significant interest in whether cost-effective UAVs can outperform manned aircraft in aerial surveys of marine fauna at sea, although few empirical studies have compared relative sampling efficiency, accuracy and precision. Civil aviat… Show more

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Cited by 133 publications
(131 citation statements)
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“…Remote sensing surveys collect coral information over vast areas, but have temporal, spatial and monetary limitations that are particularly problematic when trying to answer coral bleaching questions at the colony level (Green et al 1996;Hofmann and Gaines 2008). Unmanned aerial systems (UAS) or drones offer a viable alternative to traditional platforms for acquiring high-resolution remote sensing data at lower cost, increased operational flexibility and greater versatility (Watts et al 2012;Udin and Ahmad 2014;Colefax et al 2017). Small UAS (sUAS) are defined as fixed wing or multi-rotor aircraft that weigh less than 25 kg and are flown without a pilot in the cockpit (Hardin and Jensen 2011;Klemas 2015).…”
Section: Topic Editor Dr Line K Baymentioning
confidence: 99%
“…Remote sensing surveys collect coral information over vast areas, but have temporal, spatial and monetary limitations that are particularly problematic when trying to answer coral bleaching questions at the colony level (Green et al 1996;Hofmann and Gaines 2008). Unmanned aerial systems (UAS) or drones offer a viable alternative to traditional platforms for acquiring high-resolution remote sensing data at lower cost, increased operational flexibility and greater versatility (Watts et al 2012;Udin and Ahmad 2014;Colefax et al 2017). Small UAS (sUAS) are defined as fixed wing or multi-rotor aircraft that weigh less than 25 kg and are flown without a pilot in the cockpit (Hardin and Jensen 2011;Klemas 2015).…”
Section: Topic Editor Dr Line K Baymentioning
confidence: 99%
“…With recent technology advances, unmanned aerial vehicles (hereafter called drones; Chapman, ) are being increasingly used for marine wildlife research (Chabot, ; Colefax et al ., ; Kelaher et al ., ; Rieucau et al ., ). Drone surveys are an effective method for quantifying marine megafauna and are being increasingly used to sample large fishes, including sharks, rays, turtles and gamefish (Colefax et al ., ; Kelaher et al ., ).…”
Section: Introductionmentioning
confidence: 99%
“…Compared with catch‐based research methods, drones have limited effect on elasmobranchs and can provide similar results to visual census (Raoult & Gaston, ). Relative to aerial surveys using manned planes and helicopters, drone surveys are generally cheaper and come with improved safety (Colefax et al ., ; Jones et al ., ; Watts et al ., ), as well as decreased auditory interfereence for wildlife and people (Erbe et al ., ). Such considerations are driving the increased use of drones for fisheries conservation biology (Kelaher et al ., ), which will probably expand further as sensor technology improves capacity to detect large fish in the water column ( e.g ., hyperspectral imagery; Colefax et al ., ) and regulatory authorities increase permissions for unmanned drones to fly beyond visual line of sight (Colefax et al ., ).…”
Section: Introductionmentioning
confidence: 99%
“…One option to improve the efficacy of aerial shark detection is to use drones, also known as remotely piloted aircraft systems (RPAS) or unmanned aerial vehicles (UAV), which are available in a variety of fixed-wing and multi-rotor configurations (Colefax et al 2018). Drones increasingly present an alternative to manned aircraft for a variety of wildlife survey and detection tasks (Kudo et al 2012;Martin et al 2012;Linchant et al 2015;Evans et al 2015;Kiszka et al 2016;Colefax et al 2019;Kelaher et al 2019).…”
Section: Introductionmentioning
confidence: 99%