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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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 |
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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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1774724812768280576 |