Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast

Abstract Seagrasses are regarded as indicators and first line of impact for anthropogenic activities affecting the coasts. The underlying mechanisms driving seagrass cover however have been mostly studied on small scales, making it difficult to establish the connection to seagrass dynamics in an imp...

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Autores principales:	Kenneth Clarke, Andrew Hennessy, Andrew McGrath, Robert Daly, Sam Gaylard, Alison Turner, James Cameron, Megan Lewis, Milena B. Fernandes
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4f56ebdea3e9486990b8dfaafc811777
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id	oai:doaj.org-article:4f56ebdea3e9486990b8dfaafc811777
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spelling	oai:doaj.org-article:4f56ebdea3e9486990b8dfaafc8117772021-12-02T10:54:15ZUsing hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast10.1038/s41598-021-83728-62045-2322https://doaj.org/article/4f56ebdea3e9486990b8dfaafc8117772021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83728-6https://doaj.org/toc/2045-2322Abstract Seagrasses are regarded as indicators and first line of impact for anthropogenic activities affecting the coasts. The underlying mechanisms driving seagrass cover however have been mostly studied on small scales, making it difficult to establish the connection to seagrass dynamics in an impacted seascape. In this study, hyperspectral airborne imagery, trained from field surveys, was used to investigate broadscale seagrass cover and genus distribution along the coast of Adelaide, South Australia. Overall mapping accuracy was high for both seagrass cover (98%, Kappa = 0.93), and genus level classification (85%, Kappa = 0.76). Spectral separability allowed confident genus mapping in waters up to 10 m depth, revealing a 3.5 ratio between the cover of the dominant Posidonia and Amphibolis. The work identified the absence of Amphibolis in areas historically affected by anthropogenic discharges, which occasionally contained Posidonia and might be recovering. The results suggest hyperspectral imagery as a useful tool to investigate the interplay between seagrass cover and genus distribution at large spatial scales.Kenneth ClarkeAndrew HennessyAndrew McGrathRobert DalySam GaylardAlison TurnerJames CameronMegan LewisMilena B. FernandesNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Kenneth Clarke Andrew Hennessy Andrew McGrath Robert Daly Sam Gaylard Alison Turner James Cameron Megan Lewis Milena B. Fernandes Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast
description	Abstract Seagrasses are regarded as indicators and first line of impact for anthropogenic activities affecting the coasts. The underlying mechanisms driving seagrass cover however have been mostly studied on small scales, making it difficult to establish the connection to seagrass dynamics in an impacted seascape. In this study, hyperspectral airborne imagery, trained from field surveys, was used to investigate broadscale seagrass cover and genus distribution along the coast of Adelaide, South Australia. Overall mapping accuracy was high for both seagrass cover (98%, Kappa = 0.93), and genus level classification (85%, Kappa = 0.76). Spectral separability allowed confident genus mapping in waters up to 10 m depth, revealing a 3.5 ratio between the cover of the dominant Posidonia and Amphibolis. The work identified the absence of Amphibolis in areas historically affected by anthropogenic discharges, which occasionally contained Posidonia and might be recovering. The results suggest hyperspectral imagery as a useful tool to investigate the interplay between seagrass cover and genus distribution at large spatial scales.
format	article
author	Kenneth Clarke Andrew Hennessy Andrew McGrath Robert Daly Sam Gaylard Alison Turner James Cameron Megan Lewis Milena B. Fernandes
author_facet	Kenneth Clarke Andrew Hennessy Andrew McGrath Robert Daly Sam Gaylard Alison Turner James Cameron Megan Lewis Milena B. Fernandes
author_sort	Kenneth Clarke
title	Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast
title_short	Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast
title_full	Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast
title_fullStr	Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast
title_full_unstemmed	Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast
title_sort	using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4f56ebdea3e9486990b8dfaafc811777
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Using hyperspectral imagery to investigate large-scale seagrass cover and genus distribution in a temperate coast

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