Single-beam acoustic variability associated with seabed habitats

Mamede, Renato; Rodrigues, Ana María; Freitas, Rosa; Quintino, Victor

doi:10.1016/j.seares.2015.04.007

Cited by 9 publications

(5 citation statements)

References 27 publications

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“…Metode baru yang dikembangkan yaitu menggunakan gelombang suara (akustik) yang dapat mencakup wilayah yang lebih luas dalam waktu yang tidak terlalu lama [1]. Beberapa penelitian telah berhasil mengembangkan algoritma untuk mengklasifikasi dan memetakan dasar perairan menggunakan single beam, split beam, multibeam, maupun side scan sonar [2]- [5].…”

Section: Pendahuluanunclassified

Pemrosesan Sinyal Data Sub-bottom Profiler Substrat Dasar Perairan Selat Lembeh

Solikin

Manik

Pujiyati

et al. 2017

JRE

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Section: Pendahuluanunclassified

Pemrosesan Sinyal Data Sub-bottom Profiler Substrat Dasar Perairan Selat Lembeh

Solikin

Manik

Pujiyati

et al. 2017

JRE

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“…Studies reporting an interpolated map of the two RoxAnn parameters in an unclassified combination are rare. Although each of the 10,000 color bins produced by the processing method used here technically represents a category, the large number of these bins and the nonserial numbering (each category carrying its individual RGB signature) largely circumnavigate the construction of artificial categories, which is a problem with many other interpolation methods (ICES 2007;Mamede et al 2015).…”

Section: Mapping Without Classification?mentioning

confidence: 99%

Seafloor monitoring west of Helgoland (German Bight, North Sea) using the acoustic ground discrimination system RoxAnn

et al. 2016

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Marine habitats of shelf seas are in constant dynamic change and therefore need regular assessment particularly in areas of special interest. In this study, the single-beam acoustic ground discrimination system RoxAnn served to assess seafloor hardness and roughness, and combine these parameters into one variable expressed as RGB (red green blue) color code followed by k-means fuzzy cluster analysis (FCA). The data were collected at a monitoring site west of the island of Helgoland (German Bight, SE North Sea) in the course of four surveys between September 2011 and November 2014. The study area has complex characteristics varying from outcropping bedrock to sandy and muddy sectors with mostly gradual transitions. RoxAnn data enabled to discriminate all seafloor types that were suggested by ground-truth information (seafloor samples, video). The area appears to be quite stable overall; sediment import (including fluid mud) was detected only from the NW. Although hard substrates (boulders, bedrock) are clearly identified, the signal can be modified by inclination and biocover. Manually, six RoxAnn zones were identified; for the FCA, only three classes are suggested. The latter classification based on 'hard' boundaries would suffice for stakeholder issues, but the former classification based on 'soft' boundaries is preferred to meet state-of-the-art scientific objectives.

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“…Acoustic methods are effective for detecting and characterizing targets within the water column and seabed [23,24]. A variety of scientific echosounders have been used for the mapping and/or monitoring of seagrass [25], from the simplest and cheapest single beam [19,26], through split beam [27], to sophisticated and expensive multibeam echosounders that allow full coverage [28][29][30]. Moreover, it has even been possible to classify seagrass meadows according to their relative abundance from measurements at high frequencies [31].…”

Section: Introductionmentioning

confidence: 99%

Vertical Configuration of a Side Scan Sonar for the Monitoring of Posidonia oceanica Meadows

Llorens-Escrich

Tamarit

Hernandis

et al. 2021

JMSE

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Posidonia oceanica meadows are ecosystem engineers that play several roles in marine environment maintenance. In this sense, monitoring of the spatial distribution and health status of their meadows is key to make decisions about protecting them against their degradation. With the aim of checking the ability of a simple low-cost acoustic method to acquire information about the state of P. oceanica meadows as ecosystem indicators, ground-truthing and acoustic data were acquired over several of these meadows on the Levantine coast of Spain. A 200 kHz side scan sonar in a vertical configuration was used to automatically estimate shoot density, canopy height and cover of the meadows. The wide athwartship angle of the transducer together with its low cost and user friendliness entail the main advantages of this system and configuration: both improved beam path and detection invariance against boat rolling. The results show that canopy height can be measured acoustically. Furthermore, the accumulated intensity of the echoes from P. oceanica in the first 30 centimeters above the bottom is indirectly related to shoot density and cover, showing a relation that should be studied deeply.

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Single-beam acoustic variability associated with seabed habitats

Cited by 9 publications

References 27 publications

Pemrosesan Sinyal Data Sub-bottom Profiler Substrat Dasar Perairan Selat Lembeh

Pemrosesan Sinyal Data Sub-bottom Profiler Substrat Dasar Perairan Selat Lembeh

Seafloor monitoring west of Helgoland (German Bight, North Sea) using the acoustic ground discrimination system RoxAnn

Vertical Configuration of a Side Scan Sonar for the Monitoring of Posidonia oceanica Meadows

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