Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene.
Coral reefs around the world are under threat due to anthropogenic impacts on the environment. It is therefore important to develop methods to monitor the status of the reefs and detect changes in the health condition of the corals at an early stage before severe damage occur. In this work, we evalu...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2019-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0209960 |
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author | Paul Anton Letnes Ingrid Myrnes Hansen Lars Martin Sandvik Aas Ingvar Eide Ragnhild Pettersen Luca Tassara Justine Receveur Stéphane le Floch Julien Guyomarch Lionel Camus Jenny Bytingsvik |
author_facet | Paul Anton Letnes Ingrid Myrnes Hansen Lars Martin Sandvik Aas Ingvar Eide Ragnhild Pettersen Luca Tassara Justine Receveur Stéphane le Floch Julien Guyomarch Lionel Camus Jenny Bytingsvik |
author_sort | Paul Anton Letnes |
collection | DOAJ |
description | Coral reefs around the world are under threat due to anthropogenic impacts on the environment. It is therefore important to develop methods to monitor the status of the reefs and detect changes in the health condition of the corals at an early stage before severe damage occur. In this work, we evaluate underwater hyperspectral imaging as a method to detect changes in health status of both orange and white color morphs of the coral species Lophelia pertusa. Differing health status was achieved by exposing 60 coral samples to the toxic compound 2-methylnaphthalene in concentrations of 0 mg L-1 to 3.5 mg L-1. A machine learning model was utilized to classify corals according to lethal concentration (LC) levels LC5 (5% mortality) and LC25 (25% mortality), solely based on their reflectance spectra. All coral samples were classified to correct concentration group. This is a first step towards developing a remote sensing technique able to assess environmental impact on deep-water coral habitats over larger areas. |
first_indexed | 2024-12-17T10:16:11Z |
format | Article |
id | doaj.art-622f17387283421b883b949866b080d8 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-17T10:16:11Z |
publishDate | 2019-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-622f17387283421b883b949866b080d82022-12-21T21:52:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-01142e020996010.1371/journal.pone.0209960Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene.Paul Anton LetnesIngrid Myrnes HansenLars Martin Sandvik AasIngvar EideRagnhild PettersenLuca TassaraJustine ReceveurStéphane le FlochJulien GuyomarchLionel CamusJenny BytingsvikCoral reefs around the world are under threat due to anthropogenic impacts on the environment. It is therefore important to develop methods to monitor the status of the reefs and detect changes in the health condition of the corals at an early stage before severe damage occur. In this work, we evaluate underwater hyperspectral imaging as a method to detect changes in health status of both orange and white color morphs of the coral species Lophelia pertusa. Differing health status was achieved by exposing 60 coral samples to the toxic compound 2-methylnaphthalene in concentrations of 0 mg L-1 to 3.5 mg L-1. A machine learning model was utilized to classify corals according to lethal concentration (LC) levels LC5 (5% mortality) and LC25 (25% mortality), solely based on their reflectance spectra. All coral samples were classified to correct concentration group. This is a first step towards developing a remote sensing technique able to assess environmental impact on deep-water coral habitats over larger areas.https://doi.org/10.1371/journal.pone.0209960 |
spellingShingle | Paul Anton Letnes Ingrid Myrnes Hansen Lars Martin Sandvik Aas Ingvar Eide Ragnhild Pettersen Luca Tassara Justine Receveur Stéphane le Floch Julien Guyomarch Lionel Camus Jenny Bytingsvik Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene. PLoS ONE |
title | Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene. |
title_full | Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene. |
title_fullStr | Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene. |
title_full_unstemmed | Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene. |
title_short | Underwater hyperspectral classification of deep sea corals exposed to 2-methylnaphthalene. |
title_sort | underwater hyperspectral classification of deep sea corals exposed to 2 methylnaphthalene |
url | https://doi.org/10.1371/journal.pone.0209960 |
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