A review of unmanned vehicles for the detection and monitoring of marine fauna.


Journal

Marine pollution bulletin
ISSN: 1879-3363
Titre abrégé: Mar Pollut Bull
Pays: England
ID NLM: 0260231

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 10 02 2018
revised: 14 12 2018
accepted: 05 01 2019
entrez: 27 2 2019
pubmed: 26 2 2019
medline: 16 4 2019
Statut: ppublish

Résumé

Recent technology developments have turned present-day unmanned systems into realistic alternatives to traditional marine animal survey methods. Benefits include longer survey durations, improved mission safety, mission repeatability, and reduced operational costs. We review the present status of unmanned vehicles suitable for marine animal monitoring conducted in relation to industrial offshore activities, highlighting which systems are suitable for three main monitoring types: population, mitigation, and focal animal monitoring. We describe the technical requirements for each of these monitoring types and discuss the operational aspects. The selection of a specific sensor/platform combination depends critically on the target species and its behaviour. The technical specifications of unmanned platforms and sensors also need to be selected based on the surrounding conditions of a particular offshore project, such as the area of interest, the survey requirements and operational constraints.

Identifiants

pubmed: 30803631
pii: S0025-326X(19)30009-8
doi: 10.1016/j.marpolbul.2019.01.009
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

17-29

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Ursula K Verfuss (UK)

SMRU Consulting, New Technology Centre, North Haugh, St Andrews, Fife KY16 9SR, UK. Electronic address: ukv@smruconsulting.com.

Ana Sofia Aniceto (AS)

Akvaplan-niva AS, Fram Centre, P.O. Box 6606, Langnes, 9296 Tromsø, Norway.

Danielle V Harris (DV)

Centre for Research into Ecological and Environmental Modelling, The Observatory, University of St Andrews, St Andrews, Fife KY16 9LZ, UK.

Douglas Gillespie (D)

Sea Mammal Research Unit, Scottish Oceans Institute, University of St Andrews, Fife KY16 8LB, UK.

Sophie Fielding (S)

British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK.

Guillermo Jiménez (G)

Seiche Ltd., Bradworthy Industrial Estate, Langdon Road, Bradworthy, Holsworthy, Devon EX22 7SF, UK.

Phil Johnston (P)

Seiche Ltd., Bradworthy Industrial Estate, Langdon Road, Bradworthy, Holsworthy, Devon EX22 7SF, UK.

Rachael R Sinclair (RR)

SMRU Consulting, New Technology Centre, North Haugh, St Andrews, Fife KY16 9SR, UK.

Agnar Sivertsen (A)

Norut - Northern Research Institute, Postboks 6434 Forskningsparken, 9294 Tromsø, Norway.

Stian A Solbø (SA)

Norut - Northern Research Institute, Postboks 6434 Forskningsparken, 9294 Tromsø, Norway.

Rune Storvold (R)

Norut - Northern Research Institute, Postboks 6434 Forskningsparken, 9294 Tromsø, Norway.

Martin Biuw (M)

Akvaplan-niva AS, Fram Centre, P.O. Box 6606, Langnes, 9296 Tromsø, Norway.

Roy Wyatt (R)

Seiche Ltd., Bradworthy Industrial Estate, Langdon Road, Bradworthy, Holsworthy, Devon EX22 7SF, UK.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH