Seafloor classification in a sand wave environment on the Dutch continental shelf using multibeam echosounder backscatter data

High resolution maps of sandy seafloors are valuable to understand seafloor dynamics, plan engineering projects, and create detailed benthic habitat maps. This paper presents multibeam echosounder backscatter classification results of the Brown Bank area of the North Sea. We apply the Bayesian classification method in a megaripple and sand wave area with significant slopes. Prior to the classification, corrections are implemented to account for the slopes. This includes corrections on the backscatter value and its corresponding incident angle. A trade-off in classification resolutions is found... Mehr ...

Verfasser: Koop, Leo
Amiri-Simkooei, Alireza
van der Reijden, Karin J.
O'Flynn, Sarah
Snellen, Mirjam
Simons, Dick G.
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Reihe/Periodikum: Koop , L , Amiri-Simkooei , A , van der Reijden , K J , O'Flynn , S , Snellen , M & Simons , D G 2019 , ' Seafloor classification in a sand wave environment on the Dutch continental shelf using multibeam echosounder backscatter data ' , Geosciences , vol. 9 , no. 3 , 142 . https://doi.org/10.3390/geosciences9030142
Schlagwörter: seafloor mapping / sediment / benthic habitats / multibeam echosounder / acoustic backscatter / megaripples / sand waves / marine geology / STRENGTH
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-29027344
Datenquelle: BASE; Originalkatalog
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Link(s) : https://hdl.handle.net/11370/25912932-e11e-446e-9019-c3c3454a4913