2013
DOI: 10.1590/s1679-87592013000100002
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Seabed acoustic classification in the Pelotas basin, Brazil

Abstract: A B S T R A C TThe present study sought to develop a seabed map of the region of the Pelotas Basin using acoustic methods. A total number of 1,507,823 seabed reflectivity data, collected during six oceanographic surveys, were processed to generate a seabed map. Data processing consisted of the classification of the acoustic parameter BSBS (Bottom Surface Backscattering Strength) obtained with the Scientific Echosounder EK 500 operating at a frequency of 38 kHz. BSBS is expressed in decibels (dB), and correspon… Show more

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Cited by 6 publications
(2 citation statements)
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“…The wet sieving technique was used to determine the size grains of the sediment samples (Haris et al 2015). Substrates texture was analyzed using Shepard's triangular diagram for the samples containing silt, clay, and sand (Costa et al 2013;Ningsih and Supriyadi 2013;Fauziyah et al 2018b).…”
Section: Discussionmentioning
confidence: 99%
“…The wet sieving technique was used to determine the size grains of the sediment samples (Haris et al 2015). Substrates texture was analyzed using Shepard's triangular diagram for the samples containing silt, clay, and sand (Costa et al 2013;Ningsih and Supriyadi 2013;Fauziyah et al 2018b).…”
Section: Discussionmentioning
confidence: 99%
“…When a substantial hydroacoustic development was introduced in the 1970s, especially the echo-integration technique (Bezerra-Neto et al 2013), hydroacoustic methods and technology are being increasingly and extensively applied as a tool to describe aquatic ecosystems as well as estimating fish density, biomass, and abundance in both freshwaters and marine system (Boswell et al 2007;Rudstam et al 2009;Trenkel et al 2011). Hydroacoustic is also used for estimating zooplankton (Greenlaw 1979;Holliday et al 1989;Martin et al 1996;Miyashita and Aoki 1999;Holbrook et al 2006;Kim et al 2019) and identifying the bottom substrate type (Costa et al 2013;Fauziyah et al 2018aFauziyah et al , 2020aMontereale-Gavazzi et al 2018).…”
Section: Introductionmentioning
confidence: 99%