Seabed Classification Using Multibeam Echosounder Measurement Data
Multibeam Echosounder (MBES) utilizes acoustic waves emitted to the seafloor through a transmitter or transducer and records its reflective. The information obtained by MBES are depth data and the scattering value of the acoustic signal reflected by the object or the seabed, called backscatter. Acou...
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Online Access: | https://repository.ugm.ac.id/282258/1/Nitriansyah_2022_Seabed%20Classification%20Using%20Multibeam.pdf https://repository.ugm.ac.id/282258/ https://iopscience.iop.org/article/10.1088/1755-1315/1039/1/012045 |
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id-ugm-repo.2822582023-11-24T03:06:57Z https://repository.ugm.ac.id/282258/ Seabed Classification Using Multibeam Echosounder Measurement Data Nitriansyah, R. Cahyono, B.K. Geodesy Multibeam Echosounder (MBES) utilizes acoustic waves emitted to the seafloor through a transmitter or transducer and records its reflective. The information obtained by MBES are depth data and the scattering value of the acoustic signal reflected by the object or the seabed, called backscatter. Acoustic backscatter can be used to classify objects or the seabed such as shipwrecks or seabed sediments. This study focuses on seabed classification using an acoustic backscatter obtained from the measurement at Alur Pelayaran Barat Surabaya (APBS). The data used in this research are acoustic backscatter from bathymetry data extraction and ground truth data of sediments. This study found the fine sand sediments with backscatter value -15.56 dB, and clayey silt sediments with backscatter value -24.36 dB. The correlations between backscatter and seabed sediments in study area were classified into four classes, clay class sediments with backscatter intensity range (-33.81) - (-28) dB, clayey silt class sediments with backscatter intensity range (-27.99) - (-23) dB, sandy silt backscatter intensity range (-22.9) - (-18) dB, and sand class sediments with backscatter intensity range (-17.99) - (-10) dB. Based on the results data are known in the study area of seabed conditions dominated by sediments type sandy silt. © Published under licence by IOP Publishing Ltd. 2022 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/282258/1/Nitriansyah_2022_Seabed%20Classification%20Using%20Multibeam.pdf Nitriansyah, R. and Cahyono, B.K. (2022) Seabed Classification Using Multibeam Echosounder Measurement Data. In: IOP Conf. Series: Earth and Environmental Science. https://iopscience.iop.org/article/10.1088/1755-1315/1039/1/012045 |
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Geodesy Nitriansyah, R. Cahyono, B.K. Seabed Classification Using Multibeam Echosounder Measurement Data |
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Multibeam Echosounder (MBES) utilizes acoustic waves emitted to the seafloor through a transmitter or transducer and records its reflective. The information obtained by MBES are depth data and the scattering value of the acoustic signal reflected by the object or the seabed, called backscatter. Acoustic backscatter can be used to classify objects or the seabed such as shipwrecks or seabed sediments. This study focuses on seabed classification using an acoustic backscatter obtained from the measurement at Alur Pelayaran Barat Surabaya (APBS). The data used in this research are acoustic backscatter from bathymetry data extraction and ground truth data of sediments. This study found the fine sand sediments with backscatter value -15.56 dB, and clayey silt sediments with backscatter value -24.36 dB. The correlations between backscatter and seabed sediments in study area were classified into four classes, clay class sediments with backscatter intensity range (-33.81) - (-28) dB, clayey silt class sediments with backscatter intensity range (-27.99) - (-23) dB, sandy silt backscatter intensity range (-22.9) - (-18) dB, and sand class sediments with backscatter intensity range (-17.99) - (-10) dB. Based on the results data are known in the study area of seabed conditions dominated by sediments type sandy silt. © Published under licence by IOP Publishing Ltd. |
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Conference or Workshop Item PeerReviewed |
author |
Nitriansyah, R. Cahyono, B.K. |
author_facet |
Nitriansyah, R. Cahyono, B.K. |
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Nitriansyah, R. |
title |
Seabed Classification Using Multibeam Echosounder Measurement Data |
title_short |
Seabed Classification Using Multibeam Echosounder Measurement Data |
title_full |
Seabed Classification Using Multibeam Echosounder Measurement Data |
title_fullStr |
Seabed Classification Using Multibeam Echosounder Measurement Data |
title_full_unstemmed |
Seabed Classification Using Multibeam Echosounder Measurement Data |
title_sort |
seabed classification using multibeam echosounder measurement data |
publishDate |
2022 |
url |
https://repository.ugm.ac.id/282258/1/Nitriansyah_2022_Seabed%20Classification%20Using%20Multibeam.pdf https://repository.ugm.ac.id/282258/ https://iopscience.iop.org/article/10.1088/1755-1315/1039/1/012045 |
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