Automated detection and tracking of marine mammals: A novel sonar tool for monitoring effects of marine industry

doi:10.1002/aqc.3103

	Automated detection and tracking of marine mammals: A novel sonar tool for monitoring effects of marine industry
	Hastie, Gordon D.1; Wu, Gi-Mick 1,2; Moss, Simon 1; Jepp, Pauline 3; MacAulay, Jamie 1; Lee, Arthur 4; Sparling, Carol E.5; Evers, Clair 1,6; Gillespie, Douglas 1
刊名	AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS
	2019-09
卷号	29 页码:119-130
关键词	behaviour mammals monitoring new techniques ocean renewable energy
ISSN号	1052-7613
DOI	10.1002/aqc.3103
英文摘要	Many marine industries may pose acute risks to marine wildlife. For example, tidal turbines have the potential to injure or kill marine mammals through collisions with turbine blades. However, the quantification of collision risk is currently limited by a lack of suitable technologies to collect long-term data on marine mammal behaviour around tidal turbines. Sonar provides a potential means of tracking marine mammals around tidal turbines. However, its effectiveness for long-term data collection is hindered by the large data volumes and the need for manual validation of detections. Therefore, the aim here was to develop and test automated classification algorithms for marine mammals in sonar data. Data on the movements of harbour seals were collected in a tidally energetic environment using a high-frequency multibeam sonar on a custom designed seabed-mounted platform. The study area was monitored by observers to provide visual validation of seals and other targets detected by the sonar. Sixty-five confirmed seals and 96 other targets were detected by the sonar. Movement and shape parameters associated with each target were extracted and used to develop a series of classification algorithms. Kernel support vector machines were used to classify targets (seal vs. nonseal) and cross-validation analyses were carried out to quantify classifier efficiency. The best-fit kernel support vector machine correctly classified all the confirmed seals but misclassified a small percentage of non-seal targets (similar to 8%) as seals. Shape and non-spectral movement parameters were considered to be the most important in achieving successful classification. Results indicate that sonar is an effective method for detecting and tracking seals in tidal environments, and the automated classification approach developed here provides a key tool that could be applied to collecting long-term behavioural data around anthropogenic activities such as tidal turbines.
资助项目	Natural Environment Research Council[NE/R014639/1] ; Natural Environment Research Council[SMRU1001]
WOS关键词	HARBOR SEALS ; WHALES ; DYNAMICS
WOS研究方向	Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
语种	英语
出版者	WILEY
WOS记录号	WOS:000484997200009
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/30156]
专题	自然资源部第一海洋研究所
通讯作者	Hastie, Gordon D.
作者单位	1.Univ St Andrews, Sea Mammal Res Unit, Scottish Oceans Inst, St Andrews KY16 8LB, Fife, Scotland 2.Helmholtz Ctr Environm Res, DEVELOP, Permoserstr 15, Leipzig, Germany 3.Tritech Int Ltd, Peregrine Rd,Westhill Business Pk, Westhill, Aberdeen, Scotland 4.SMRU Consulting Hong Kong, 1802 One Midtown,11 Hoi Shing Rd, Hong Kong, Peoples R China 5.SMRU Consulting Europe, New Technol Ctr, St Andrews, Fife, Scotland 6.Fisheries & Oceans Canada, Bedford Inst Oceanog, 1 Challenger Dr, Dartmouth, NS, Canada
推荐引用方式 GB/T 7714	Hastie, Gordon D.,Wu, Gi-Mick,Moss, Simon,et al. Automated detection and tracking of marine mammals: A novel sonar tool for monitoring effects of marine industry[J]. AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS,2019,29:119-130.
APA	Hastie, Gordon D..,Wu, Gi-Mick.,Moss, Simon.,Jepp, Pauline.,MacAulay, Jamie.,...&Gillespie, Douglas.(2019).Automated detection and tracking of marine mammals: A novel sonar tool for monitoring effects of marine industry.AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS,29,119-130.
MLA	Hastie, Gordon D.,et al."Automated detection and tracking of marine mammals: A novel sonar tool for monitoring effects of marine industry".AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS 29(2019):119-130.