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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Online Access: | https://hdl.handle.net/11250/3040870 https://doi.org/10.3390/rs14061325 |
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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 |
_version_ |
1766323805418946560 |