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dc.contributor.authorOsterloff, Jonas
dc.contributor.authorNilssen, Ingunn
dc.contributor.authorJärnegren, Johanna
dc.contributor.authorVan Engeland, Tom
dc.contributor.authorBuhl-Mortensen, Pål
dc.contributor.authorNattkemper, Tim W.
dc.coverage.spatialNoreg, Norge, Norway, Nordland, Vesterålen, Lofotennb_NO
dc.date.accessioned2019-05-06T11:14:39Z
dc.date.available2019-05-06T11:14:39Z
dc.date.issued2019
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/11250/2596589
dc.description.abstractAn array of sensors, including an HD camera mounted on a Fixed Underwater Observatory (FUO) were used to monitor a cold-water coral (Lophelia pertusa) reef in the Lofoten-Vesterålen area from April to November 2015. Image processing and deep learning enabled extraction of time series describing changes in coral colour and polyp activity (feeding). The image data was analysed together with data from the other sensors from the same period, to provide new insights into the short- and long-term dynamics in polyp features. The results indicate that diurnal variations and tidal current influenced polyp activity, by controlling the food supply. On a longer time-scale, the coral’s tissue colour changed from white in the spring to slightly red during the summer months, which can be explained by a seasonal change in food supply. Our work shows, that using an effective integrative computational approach, the image time series is a new and rich source of information to understand and monitor the dynamics in underwater environments due to the high temporal resolution and coverage enabled with FUOs.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleComputer vision enables short- and long-term analysis of Lophelia pertusa polyp behaviour and colour from an underwater observatorynb_NO
dc.typePeer reviewednb_NO
dc.rights.holder© The Author(s) 2019nb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497nb_NO
dc.source.pagenumber12nb_NO
dc.source.volume9nb_NO
dc.source.journalScientific Reportsnb_NO
dc.identifier.doi10.1038/s41598-019-41275-1
dc.identifier.cristin1695358


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