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dc.contributor.authorLange, Benjamin Allen
dc.contributor.authorMatero, Ilkka O.
dc.contributor.authorSalganik, Evgenii
dc.contributor.authorCampbell, Karley Lynn
dc.contributor.authorKatlein, Christian
dc.contributor.authorAnhaus, Philipp
dc.contributor.authorOsanen, Janina Emilia
dc.contributor.authorGranskog, Mats
dc.date.accessioned2024-10-08T08:58:34Z
dc.date.available2024-10-08T08:58:34Z
dc.date.issued2024-05-08
dc.description.abstractThe impact of a rapidly shifting sea-ice cover on climate, ecosystem processes and biophysical habitat properties is not yet fully understood, particularly in the central Arctic Ocean, due to a lack of spatially representative observations. From June to July 2020 during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC, leg 4) in the Transpolar Drift, we deployed an underwater hyperspectral imager (UHI) mounted on a remotely operated vehicle (ROV) to characterize the biophysical properties of different sea-ice habitats. We conducted UHI surveys along two transects: i) under level first-year sea ice (FYI), which had a mean sea-ice draft of 1.4 m and was composed of primarily level FYI but also had a relatively shallow ridge (keel depth ∼2.6 m); and ii) under the flank of a ridge, named Jaridge, with a mean ice draft of 1.7 m, which was composed of a mix of level ice and thicker ridge blocks with over 3 m draft. We present a new unsupervised bio-optical quantification algorithm for hyperspectral surveys, the relative ice algal biomass index (RBI), using spectral mixture analysis (SMA). We compare this method to the supervised machine learning habitat classification algorithm, Support Vector Machine (SVM). The RBI showed good agreement to literature-based normalized difference indices (NDI) and PCA analyses, which confirm the RBI as a reliable unsupervised index for ice algal biomass. Our biophysical characterization of the two surveyed regions showed an association of sea-ice algal biomass with sea-ice ridge features. Our surveys also indicate that ice algal spatial distribution may be influenced by ice melt rates, and the formation of under ice meltwater layers and false bottoms. With high spatial coverage (>100 m) at microscale resolution (∼cm) we documented large spatial variability of summer Arctic sea-ice algal biomass and different patterns between adjacent ice habitats. We further demonstrate the need for improved understanding of sea-ice algal spatial variability as a complementary tool for sea-ice biogeochemical sampling using destructive ice core sampling.en_US
dc.identifier.citationLange, Matero, Salganik, Campbell, Katlein, Anhaus, Osanen, Granskog. Biophysical characterization of summer Arctic sea-ice habitats using a remotely operated vehicle-mounted underwater hyperspectral imager. Remote Sensing Applications: Society and Environment (RSASE). 2024;35en_US
dc.identifier.cristinIDFRIDAID 2267274
dc.identifier.doi10.1016/j.rsase.2024.101224
dc.identifier.issn2352-9385
dc.identifier.urihttps://hdl.handle.net/10037/35120
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalRemote Sensing Applications: Society and Environment (RSASE)
dc.relation.projectIDNorges forskningsråd: 280292en_US
dc.relation.projectIDNorges forskningsråd: 280531en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.subjectVDP::Matematikk og naturvitenskap: 400::Geofag: 450::Andre geofag: 469en_US
dc.subjectVDP::Mathematics and natural scienses: 400::Geosciences: 450::Other geosciences: 469en_US
dc.subjectVDP::Matematikk og naturvitenskap: 400::Fysikk: 430::Elektromagnetisme, akustikk, optikk: 434en_US
dc.subjectVDP::Mathematics and natural scienses: 400::Physics: 430::Electromagnetism, acoustics, optics: 434en_US
dc.subjectVDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480::Marinbiologi: 497en_US
dc.subjectVDP::Mathematics and natural scienses: 400::Zoology and botany: 480::Marine biology: 497en_US
dc.subjectFytoplankton / Phytoplanktonen_US
dc.subjectIsalger / Ice algaeen_US
dc.subjectPolhavet / Arctic oceanen_US
dc.subjectSjøis / Sea iceen_US
dc.titleBiophysical characterization of summer Arctic sea-ice habitats using a remotely operated vehicle-mounted underwater hyperspectral imageren_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)