Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates

The advancement of innovative underwater remote sensing detection and imaging methods, such as continuous wave laser line scan or pulsed laser (i.e., LiDAR—Light Detection and Ranging) imaging approaches can provide novel solutions for studying biological substrates and manmade objects/surfaces ofte...

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Published in:Remote Sensing
Main Authors: Matthieu Huot, Fraser Dalgleish, Eric Rehm, Michel Piché, Philippe Archambault
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/rs14133105
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spelling ftmdpi:oai:mdpi.com:/2072-4292/14/13/3105/ 2023-08-20T04:01:33+02:00 Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates Matthieu Huot Fraser Dalgleish Eric Rehm Michel Piché Philippe Archambault agris 2022-06-28 application/pdf https://doi.org/10.3390/rs14133105 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs14133105 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 13; Pages: 3105 multispectral laser imaging fluorescence automated discrimination macroalgae coral Text 2022 ftmdpi https://doi.org/10.3390/rs14133105 2023-08-01T05:31:32Z The advancement of innovative underwater remote sensing detection and imaging methods, such as continuous wave laser line scan or pulsed laser (i.e., LiDAR—Light Detection and Ranging) imaging approaches can provide novel solutions for studying biological substrates and manmade objects/surfaces often encountered in underwater coastal environments. Such instruments can be used shipboard or coupled with proven and available deployment platforms as AUVs (Autonomous Underwater Vehicles). With the right planning, large areas can be surveyed, and more extreme and difficult-to-reach environments can be studied. A prime example, and representing a certain navigational challenge, is the under ice in the Arctic/Antarctic or winter/polar environments or deep underwater survey. Among many marine biological substrates, numerous species of macroalgae can be found worldwide in shallow down to 70+ m (clear water) coastal habitats and are essential ecosystem service providers through the habitat they provide for other species, the potential food resource value, and carbon sink they represent. Similarly, corals also provide important ecosystem services through their structure and diversity, are found to harbor increased local diversity, and are equally valid targets as “keystone” species. Hence, we expand current underwater remote sensing methods to combine macroalgal and coral surveys via the development of a multispectral laser serial imager designed for classification via spectral response. By using multiple continuous wave laser wavelength sources to scan and illuminate recreated benthic environments composed of macroalgae and coral, we show how elastic (i.e., reflectance) and inelastic (i.e., fluorescence) spectral responses can potentially be used to differentiate algal color groups and certain coral genus. Experimentally, three laser diodes (450 nm, 490 nm, 520 nm) are sequentially used in conjunction with up to 5 emission filters (450 nm, 490 nm, 520 nm, 580 nm, 685 nm) to acquire images generated by laser line scan ... Text Antarc* Antarctic Arctic MDPI Open Access Publishing Arctic Antarctic Remote Sensing 14 13 3105
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic multispectral
laser
imaging
fluorescence
automated
discrimination
macroalgae
coral
spellingShingle multispectral
laser
imaging
fluorescence
automated
discrimination
macroalgae
coral
Matthieu Huot
Fraser Dalgleish
Eric Rehm
Michel Piché
Philippe Archambault
Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates
topic_facet multispectral
laser
imaging
fluorescence
automated
discrimination
macroalgae
coral
description The advancement of innovative underwater remote sensing detection and imaging methods, such as continuous wave laser line scan or pulsed laser (i.e., LiDAR—Light Detection and Ranging) imaging approaches can provide novel solutions for studying biological substrates and manmade objects/surfaces often encountered in underwater coastal environments. Such instruments can be used shipboard or coupled with proven and available deployment platforms as AUVs (Autonomous Underwater Vehicles). With the right planning, large areas can be surveyed, and more extreme and difficult-to-reach environments can be studied. A prime example, and representing a certain navigational challenge, is the under ice in the Arctic/Antarctic or winter/polar environments or deep underwater survey. Among many marine biological substrates, numerous species of macroalgae can be found worldwide in shallow down to 70+ m (clear water) coastal habitats and are essential ecosystem service providers through the habitat they provide for other species, the potential food resource value, and carbon sink they represent. Similarly, corals also provide important ecosystem services through their structure and diversity, are found to harbor increased local diversity, and are equally valid targets as “keystone” species. Hence, we expand current underwater remote sensing methods to combine macroalgal and coral surveys via the development of a multispectral laser serial imager designed for classification via spectral response. By using multiple continuous wave laser wavelength sources to scan and illuminate recreated benthic environments composed of macroalgae and coral, we show how elastic (i.e., reflectance) and inelastic (i.e., fluorescence) spectral responses can potentially be used to differentiate algal color groups and certain coral genus. Experimentally, three laser diodes (450 nm, 490 nm, 520 nm) are sequentially used in conjunction with up to 5 emission filters (450 nm, 490 nm, 520 nm, 580 nm, 685 nm) to acquire images generated by laser line scan ...
format Text
author Matthieu Huot
Fraser Dalgleish
Eric Rehm
Michel Piché
Philippe Archambault
author_facet Matthieu Huot
Fraser Dalgleish
Eric Rehm
Michel Piché
Philippe Archambault
author_sort Matthieu Huot
title Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates
title_short Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates
title_full Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates
title_fullStr Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates
title_full_unstemmed Underwater Multispectral Laser Serial Imager for Spectral Differentiation of Macroalgal and Coral Substrates
title_sort underwater multispectral laser serial imager for spectral differentiation of macroalgal and coral substrates
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/rs14133105
op_coverage agris
geographic Arctic
Antarctic
geographic_facet Arctic
Antarctic
genre Antarc*
Antarctic
Arctic
genre_facet Antarc*
Antarctic
Arctic
op_source Remote Sensing; Volume 14; Issue 13; Pages: 3105
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs14133105
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs14133105
container_title Remote Sensing
container_volume 14
container_issue 13
container_start_page 3105
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