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 instrumentcarrying 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 syst...

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Bibliographic Details
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/10037/26269
https://doi.org/10.3390/rs14061325
Description
Summary:We describe an Underwater Hyperspectral Imager (UHI) deployed on an instrumentcarrying 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.