Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System

We describe an Underwater Hyperspectral Imager (UHI) deployed on an instrument-carrying platform consisting of two interconnected mini-ROVs (Remotely Operated Vehicle) for the mapping and monitoring of Arctic macroalgal habitats in Kongsfjorden (Svalbard) during the Polar Night. The mini-ROV-UHI sys...

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Published in:Remote Sensing
Main Authors: Summers, Natalie, Johnsen, Geir, Mogstad, Aksel Alstad, Løvås, Håvard, Fragoso, Glaucia Moreira, Berge, Jørgen
Format: Article in Journal/Newspaper
Language:English
Published: MDPI 2022
Subjects:
Online Access:https://hdl.handle.net/11250/3040870
https://doi.org/10.3390/rs14061325
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spelling ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/3040870 2023-05-15T14:52:34+02:00 Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System Summers, Natalie Johnsen, Geir Mogstad, Aksel Alstad Løvås, Håvard Fragoso, Glaucia Moreira Berge, Jørgen 2022 application/pdf https://hdl.handle.net/11250/3040870 https://doi.org/10.3390/rs14061325 eng eng MDPI Remote Sensing. 2022, 14 (6), . urn:issn:2072-4292 https://hdl.handle.net/11250/3040870 https://doi.org/10.3390/rs14061325 cristin:2014857 Navngivelse 4.0 Internasjonal http://creativecommons.org/licenses/by/4.0/deed.no CC-BY 11 14 Remote Sensing 6 Peer reviewed Journal article 2022 ftntnutrondheimi https://doi.org/10.3390/rs14061325 2023-01-11T23:42:59Z We describe an Underwater Hyperspectral Imager (UHI) deployed on an instrument-carrying platform consisting of two interconnected mini-ROVs (Remotely Operated Vehicle) for the mapping and monitoring of Arctic macroalgal habitats in Kongsfjorden (Svalbard) during the Polar Night. The mini-ROV-UHI system is easy to transport, assemble and deploy from shore, even under the dark, icy and cold conditions of the Arctic Polar Night. The system can be operated by two persons, keeping the operational costs low. In vivo hyperspectral reflectance of collected specimens of brown, red and green macroalgae was measured with a spectrometer in the lab to provide a spectral library for supervised pigment group classification based on UHI photomosaics. The in situ UHI-photomosaics provided detailed information of the areal coverage of the seafloor substrate (16%), as well as brown (51% habitat cover), red (18%), and green (14%) macroalgae, with spatial resolution in the range of cm and spectral resolution of 2 nm. The collected specimens from the mapped area were also used for species identification and health state evaluation. This innovative UHI sampling method provides significant information about macroalgal distribution and physiology, and due to its flexibility in terms of deployment, it is applicable to a variety of environments. publishedVersion Article in Journal/Newspaper Arctic Kongsfjord* Kongsfjorden polar night Svalbard NTNU Open Archive (Norwegian University of Science and Technology) Arctic Svalbard Remote Sensing 14 6 1325
institution Open Polar
collection NTNU Open Archive (Norwegian University of Science and Technology)
op_collection_id ftntnutrondheimi
language English
description We describe an Underwater Hyperspectral Imager (UHI) deployed on an instrument-carrying platform consisting of two interconnected mini-ROVs (Remotely Operated Vehicle) for the mapping and monitoring of Arctic macroalgal habitats in Kongsfjorden (Svalbard) during the Polar Night. The mini-ROV-UHI system is easy to transport, assemble and deploy from shore, even under the dark, icy and cold conditions of the Arctic Polar Night. The system can be operated by two persons, keeping the operational costs low. In vivo hyperspectral reflectance of collected specimens of brown, red and green macroalgae was measured with a spectrometer in the lab to provide a spectral library for supervised pigment group classification based on UHI photomosaics. The in situ UHI-photomosaics provided detailed information of the areal coverage of the seafloor substrate (16%), as well as brown (51% habitat cover), red (18%), and green (14%) macroalgae, with spatial resolution in the range of cm and spectral resolution of 2 nm. The collected specimens from the mapped area were also used for species identification and health state evaluation. This innovative UHI sampling method provides significant information about macroalgal distribution and physiology, and due to its flexibility in terms of deployment, it is applicable to a variety of environments. publishedVersion
format Article in Journal/Newspaper
author Summers, Natalie
Johnsen, Geir
Mogstad, Aksel Alstad
Løvås, Håvard
Fragoso, Glaucia Moreira
Berge, Jørgen
spellingShingle Summers, Natalie
Johnsen, Geir
Mogstad, Aksel Alstad
Løvås, Håvard
Fragoso, Glaucia Moreira
Berge, Jørgen
Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
author_facet Summers, Natalie
Johnsen, Geir
Mogstad, Aksel Alstad
Løvås, Håvard
Fragoso, Glaucia Moreira
Berge, Jørgen
author_sort Summers, Natalie
title Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
title_short Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
title_full Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
title_fullStr Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
title_full_unstemmed Underwater Hyperspectral Imaging of Arctic Macroalgal Habitats during the Polar Night Using a Novel Mini-ROV-UHI Portable System
title_sort underwater hyperspectral imaging of arctic macroalgal habitats during the polar night using a novel mini-rov-uhi portable system
publisher MDPI
publishDate 2022
url https://hdl.handle.net/11250/3040870
https://doi.org/10.3390/rs14061325
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Kongsfjord*
Kongsfjorden
polar night
Svalbard
genre_facet Arctic
Kongsfjord*
Kongsfjorden
polar night
Svalbard
op_source 11
14
Remote Sensing
6
op_relation Remote Sensing. 2022, 14 (6), .
urn:issn:2072-4292
https://hdl.handle.net/11250/3040870
https://doi.org/10.3390/rs14061325
cristin:2014857
op_rights Navngivelse 4.0 Internasjonal
http://creativecommons.org/licenses/by/4.0/deed.no
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/rs14061325
container_title Remote Sensing
container_volume 14
container_issue 6
container_start_page 1325
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