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dc.contributor.authorOudijk, Esmée
dc.contributor.authorHasler, Oliver Kevin
dc.contributor.authorOveraas, H
dc.contributor.authorMarty, Sabine
dc.contributor.authorWilliamson, David
dc.contributor.authorSvendsen, T
dc.contributor.authorBerg, Simen
dc.contributor.authorBirkeland, Roger
dc.contributor.authorHalvorsen, D
dc.contributor.authorBakken, S
dc.contributor.authorHenriksen, Marie Bøe
dc.contributor.authorAlver, Morten
dc.contributor.authorJohnsen, Geir
dc.contributor.authorJohansen, Tor Arne
dc.contributor.authorStahl, Annette
dc.contributor.authorKvaløy, Pål
dc.contributor.authorDallolio, Alberto
dc.contributor.authorMajaneva, Sanna
dc.contributor.authorFragoso, Glaucia Moreira
dc.contributor.authorGarrett, Joseph
dc.date.accessioned2022-12-20T08:55:44Z
dc.date.available2022-12-20T08:55:44Z
dc.date.created2022-12-08T14:41:47Z
dc.date.issued2022
dc.identifier.issn2158-6276
dc.identifier.urihttps://hdl.handle.net/11250/3038739
dc.description.abstractThe high photosynthetic productivity of the Mausund bank on the coast of mid-Norway has given the area important economic and ecologic value. Monitoring chlorophyll-a (chl-a) production can assist in managing the local aquaculture and ecosystem. Hyperspectral imagers (HSIs), with frequent revisit times when used on a small satellite, have the potential to detect chl-a over large regions. Moreover, our hypothesis is that HSIs can classify spectral signatures of different functional groups of plankton. The data must, however, first be validated to be interpreted in accordance with in situ data.Recently, a HSI validation campaign was performed. HSIs on a small satellite and drones, unmanned surface and underwater vehicles with chl-a detectors, and numerical simulations were used to monitor local phytoplankton blooms. These measurements were validated with in situ water sampling. Each measurement technique and an outline of the campaign is described, showing the feasibility of such a coordinated mission.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleCampaign For Hyperspectral Data Validation In North Atlantic Coastal Watersen_US
dc.title.alternativeCampaign For Hyperspectral Data Validation In North Atlantic Coastal Watersen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.source.journalWorkshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensingen_US
dc.identifier.doi10.1109/WHISPERS56178.2022.9955134
dc.identifier.cristin2090738
dc.relation.projectNorges forskningsråd: 270959en_US
dc.relation.projectNorges forskningsråd: 315514en_US
dc.relation.projectNorges forskningsråd: 276730en_US
dc.relation.projectNorges forskningsråd: 262741en_US
dc.relation.projectNorges forskningsråd: 223254en_US
dc.relation.projectEØS - Det europeiske økonomiske samarbeidsområde: 24/2020en_US
dc.relation.projectNorges forskningsråd: 328674en_US
dc.relation.projectNorges forskningsråd: 296478en_US
dc.relation.projectNorges forskningsråd: 325961en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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