Examining the Links between Multi-Frequency Multibeam Backscatter Data and Sediment Grain Size

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dc.contributor.authorRunya, Robert Mzungu
dc.contributor.authorMcGonigle, Chris
dc.contributor.authorQuinn, Rory
dc.contributor.authorHowe, John
dc.contributor.authorCollier, Jenny
dc.contributor.authorFox, Clive
dc.contributor.authorDooley, James
dc.contributor.authorO'Loughlin, Rory Luke
dc.contributor.authorCalvert, Jay
dc.contributor.authorScott, Louise
dc.contributor.authorAbernethy, Colin
dc.contributor.authorEvans, Will
dc.date.accessioned2021-10-27T10:55:03Z
dc.date.available2021-10-27T10:55:03Z
dc.date.issued2021-04-15
dc.descriptionPublication history: Accepted - 13 April 2021; Published - 15 April 2021.en_US
dc.description.abstractAcoustic methods are routinely used to provide broad scale information on the geographical distribution of benthic marine habitats and sedimentary environments. Although single-frequency multibeam echosounder surveys have dominated seabed characterisation for decades, multifrequency approaches are now gaining favour in order to capture different frequency responses from the same seabed type. The aim of this study is to develop a robust modelling framework for testing the potential application and value of multifrequency (30, 95, and 300 kHz) multibeam backscatter responses to characterize sediments’ grain size in an area with strong geomorphological gradients and benthic ecological variability. We fit a generalized linear model on a multibeam backscatter and its derivatives to examine the explanatory power of single-frequency and multifrequency models with respect to the mean sediment grain size obtained from the grab samples. A strong and statistically significant (p < 0.05) correlation between the mean backscatter and the absolute values of the mean sediment grain size for the data was noted. The root mean squared error (RMSE) values identified the 30 kHz model as the best performing model responsible for explaining the most variation (84.3%) of the mean grain size at a statistically significant output (p < 0.05) with an adjusted r2 = 0.82. Overall, the single low-frequency sources showed a marginal gain on the multifrequency model, with the 30 kHz model driving the significance of this multifrequency model, and the inclusion of the higher frequencies diminished the level of agreement. We recommend further detailed and sufficient ground-truth data to better predict sediment properties and to discriminate benthic habitats to enhance the reliability of multifrequency backscatter data for the monitoring and management of marine protected areas.en_US
dc.description.sponsorshipThis research was funded by the Marine Institute under the Marine Research Programme by the Irish Government Cruise CE19007 Backscatter and Biodiversity of Shelf Sea Habitats (BaBioSSH) survey. Staffing was supported through the Marine Protected Area Monitoring and Management (MarPAMM) project, which is supported by the European Union’s INTERREG VA Programme, managed by the Special EU Programmes Body (SEUPM) with matching funding from the Government of Ireland, the Northern Ireland Executive, and the Scottish Government, as well as the PhD studentship through a Vice Chancellor Research Scholarship of Ulster University (U.K.).en_US
dc.identifierhttp://hdl.handle.net/20.500.12518/367
dc.identifier.citationRunya, R. M., McGonigle, C., Quinn, R., Howe, J., Collier, J., Fox, C., Dooley, J., O’Loughlin, R., Calvert, J., Scott, L., Abernethy, C. and Evans, W. (2021) ‘Examining the Links between Multi-Frequency Multibeam Backscatter Data and Sediment Grain Size’, Remote Sensing. MDPI AG. doi: 10.3390/rs13081539.en_US
dc.identifier.issn2072-4292
dc.identifier.urihttps://doi.org/10.3390/rs13081539
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/)en_US
dc.subjectmultibeam echosounderen_US
dc.subjectmultifrequency backscatteren_US
dc.subjectsedimentsen_US
dc.subjecttextureen_US
dc.subjectmarine protected areaen_US
dc.subjectmonitoringen_US
dc.subjectmanagementen_US
dc.titleExamining the Links between Multi-Frequency Multibeam Backscatter Data and Sediment Grain Sizeen_US
dc.typeArticleen_US
dcterms.dateAccepted2021-04-13
dcterms.dateSubmitted2021-02-26

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