Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers

Coral reefs are an essential source of marine biodiversity, but they are declining at an alarming rate under the combined effects of global change and human pressure. A precise mapping of coral reef habitat with high spatial and time resolutions has become a necessary step for monitoring their healt...

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Autores principales:	Teo Nguyen, Benoît Liquet, Kerrie Mengersen, Damien Sous
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	coral mapping coral reefs machine learning remote sensing satellite imagery Science Q
Acceso en línea:	https://doaj.org/article/5b63f20436d6416dbc6f4b5ee7d6cca5
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id	oai:doaj.org-article:5b63f20436d6416dbc6f4b5ee7d6cca5
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spelling	oai:doaj.org-article:5b63f20436d6416dbc6f4b5ee7d6cca52021-11-11T18:58:24ZMapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers10.3390/rs132144702072-4292https://doaj.org/article/5b63f20436d6416dbc6f4b5ee7d6cca52021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4470https://doaj.org/toc/2072-4292Coral reefs are an essential source of marine biodiversity, but they are declining at an alarming rate under the combined effects of global change and human pressure. A precise mapping of coral reef habitat with high spatial and time resolutions has become a necessary step for monitoring their health and evolution. This mapping can be achieved remotely thanks to satellite imagery coupled with machine-learning algorithms. In this paper, we review the different satellites used in recent literature, as well as the most common and efficient machine-learning methods. To account for the recent explosion of published research on coral reel mapping, we especially focus on the papers published between 2018 and 2020. Our review study indicates that object-based methods provide more accurate results than pixel-based ones, and that the most accurate methods are Support Vector Machine and Random Forest. We emphasize that the satellites with the highest spatial resolution provide the best images for benthic habitat mapping. We also highlight that preprocessing steps (water column correction, sunglint removal, etc.) and additional inputs (bathymetry data, aerial photographs, etc.) can significantly improve the mapping accuracy.Teo NguyenBenoît LiquetKerrie MengersenDamien SousMDPI AGarticlecoral mappingcoral reefsmachine learningremote sensingsatellite imageryScienceQENRemote Sensing, Vol 13, Iss 4470, p 4470 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	coral mapping coral reefs machine learning remote sensing satellite imagery Science Q
spellingShingle	coral mapping coral reefs machine learning remote sensing satellite imagery Science Q Teo Nguyen Benoît Liquet Kerrie Mengersen Damien Sous Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
description	Coral reefs are an essential source of marine biodiversity, but they are declining at an alarming rate under the combined effects of global change and human pressure. A precise mapping of coral reef habitat with high spatial and time resolutions has become a necessary step for monitoring their health and evolution. This mapping can be achieved remotely thanks to satellite imagery coupled with machine-learning algorithms. In this paper, we review the different satellites used in recent literature, as well as the most common and efficient machine-learning methods. To account for the recent explosion of published research on coral reel mapping, we especially focus on the papers published between 2018 and 2020. Our review study indicates that object-based methods provide more accurate results than pixel-based ones, and that the most accurate methods are Support Vector Machine and Random Forest. We emphasize that the satellites with the highest spatial resolution provide the best images for benthic habitat mapping. We also highlight that preprocessing steps (water column correction, sunglint removal, etc.) and additional inputs (bathymetry data, aerial photographs, etc.) can significantly improve the mapping accuracy.
format	article
author	Teo Nguyen Benoît Liquet Kerrie Mengersen Damien Sous
author_facet	Teo Nguyen Benoît Liquet Kerrie Mengersen Damien Sous
author_sort	Teo Nguyen
title	Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
title_short	Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
title_full	Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
title_fullStr	Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
title_full_unstemmed	Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers
title_sort	mapping of coral reefs with multispectral satellites: a review of recent papers
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/5b63f20436d6416dbc6f4b5ee7d6cca5
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Mapping of Coral Reefs with Multispectral Satellites: A Review of Recent Papers

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