Developing and testing a computer vision method to quantify 3D movements of bottom-set gillnets on the seabed

Esther Savina, Ludvig Ahm Krag, Niels Madsen

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

1 Citation (Scopus)
29 Downloads (Pure)

Resumé

Gillnets are one of the most widely used fishing gears, but there is limited knowledge about their habitat effects, partly due to the lack of methodology to quantify such effects. A stereo imaging method was identified and adapted to quantify the dynamic behaviour of gillnets in-situ. Two cameras took synchronized images of the gear from slightly different perspectives, allowing to estimate the distance from the observation unit to the gear such as in the human 3D vision. The sweeping motion on the seabed and the penetration into the sediment of the leadline of light and heavy commercial bottom gillnets deployed in sandy habitats in the Danish coastal plaice fishery were assessed. The direct physical disruption of the seabed was minimal as the leadline was not penetrating into the seabed. Direct damage to the benthos could however originate from the sweeping movements of the nets, which were found to be higher than usually estimated by experts, up to about 2 m. The sweeping movements were for the most part in the order of magnitude of 10 cm, and resulted in a total swept area per fishing operation lower than any of the hourly swept area estimated for active fishing gears. Whereas the general perception is that heavy gears are more destructive to the habitat, light nets were moving significantly more than heavy ones. The established methodology could be further applied to assess gear dynamic behaviour in situ of other static gears.

OriginalsprogEngelsk
TidsskriftICES Journal of Marine Science
Vol/bind75
Udgave nummer2
Sider (fra-til)814-824
Antal sider11
ISSN1054-3139
DOI
StatusUdgivet - 1 mar. 2018

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computer vision
gillnet
gillnets
fishing gear
habitat
coastal fishery
imaging method
methodology
testing
benthos
fishing
penetration
habitats
damage
Pleuronectes
sediment
method
benthic organisms
cameras
fisheries

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Developing and testing a computer vision method to quantify 3D movements of bottom-set gillnets on the seabed. / Savina, Esther; Krag, Ludvig Ahm; Madsen, Niels.

I: ICES Journal of Marine Science, Bind 75, Nr. 2, 01.03.2018, s. 814-824.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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