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Bathymetric analysis using multifrequency multibeam echosounder

    Khomsin Affiliation
    ; Danar Guruh Pratomo Affiliation
    ; Aditya Nugraha Affiliation
    ; Muhammad Arif Zulkarnaen Affiliation

Abstract

Making a nautical chart for safe navigation is a bathymetric survey’s primary goal. Multifrequency MBES have been developed over the last few decades, and their introduction has dramatically improved the efficiency, accuracy, and spatial resolution of coastal and ocean mapping. The goal of multifrequency MBES is to increase the subsurface’s detection resolution. To obtain an accurate picture of the seabed, the user can lessen the impact of this subsidence by running surveys in three different modes at once. With the help of multifrequency MBES, this study will analyze bathymetry in shallow coastal waters. The digital bathymetric model’s (DBM) frequencies are remarkably close. The depth value of the study site ranges from –20 m to–70 m with reference to lowest water surface (LWS) based on the produced DBM. Generally, the difference between 100 kHz, 200 kHz, and 400 kHz is as small as 0–30 cm, and a small part is 30–60 cm. The volume between frequencies for an area of 1 ha is between 90 m3 to 440 m3. If the thickness of the dredged sediment is 1 m, then the difference in volume between frequencies is less than 5%. The bathymetry difference between 100 kHz and 400 kHz frequencies to –10 cm is dominated by the region of 0 cm. Dredging volume inter frequency ranges from 0.042 m3/m2 to 0.068 m3/m2.

Keyword : nautical chart, digital batymetric model, multifrequency MBES, dredging volume

How to Cite
Khomsin, Pratomo, D. G., Nugraha, A., & Zulkarnaen, M. A. (2024). Bathymetric analysis using multifrequency multibeam echosounder. Geodesy and Cartography, 50(3), 127–131. https://doi.org/10.3846/gac.2024.19640
Published in Issue
Sep 25, 2024
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References

Amirebrahimi, S., Picard, K., Quadros, N., & Falster, G. (2019). Multibeam echo sounder data acquisition in Australia and Beyond: User needs summary. Geoscience Australia. https://www.ausseabed.gov.au/__data/assets/pdf_file/0006/86523/MBES_User_Needs_Summary.PDF

Biffard, B. R. (2011). Seabed remote sensing by single beam echosounder: Models, methods and applications [Ph.D. thesis, University of Victoria]. Victoria, BC, Canada.

Blondel, P. (2012). Bathymetry and its applications. InTech Open Access Publisher. https://doi.org/10.5772/2132

Brown, C. J., Beaudoin, J., Brissette, M., & Gazzola, V. (2019). Multispectral multibeam echo sounder backscatter as a tool for improved seafloor characterization. Geosciences, 9, Article 126. https://doi.org/10.3390/geosciences9030126

Cui, X., Liu, H., Fan, M., Ai, B., Ma, D., & Yang, F. (2021). Seafloor habitat mapping using multibeam bathymetric and backscatter intensity multi-features SVM classification framework. Applied Acoustics, 174, Article 107728. https://doi.org/10.1016/j.apacoust.2020.107728

Feldens, P., Schulze, I., Papenmeier, S., Schönke, M., & Schneider von Deimling, J. (2018). Improved interpretation of marine sedimentary environments using multi-frequency multibeam backscatter data. Geosciences, 8, Article 214. https://doi.org/10.3390/geosciences8060214

Fonseca, L., Mayer, L., Orange, D., & Driscoll, N. (2002). The high-frequency backscattering angular response of gassy sediments: Model/data comparison from the Eel River Margin, California. The Journal of the Acoustical Society of America, 111(6), 2621–2631. https://doi.org/10.1121/1.1471911

Gaida, T. C., Tannaz, H., Mohammadloo, T. H., Snellen, M., & Simons, D. G. (2020). Mapping the seabed and shallow subsurface with multi-frequency multibeam echosounders. Remote Sensing, 12, Article 52. https://doi.org/10.3390/rs12010052

Gula, J., Molemaker, M. J., & McWilliams, J. C. (2015). Gulf Stream dynamics along the southeastern U.S. seaboard. Journal of Physical Oceanography, 45, 690–715. https://doi.org/10.1175/JPO-D-14-0154.1

Hell, B. (2011). Mapping bathymetry from measurement to applications [Doctoral thesis, Stockholm University]. Stockholm, Sweden.

Huizinga, R. J. (2016). Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri (Scientific Investigations Report 2016–5061). U.S. Department of the Interior, U.S. Geological Survey. https://doi.org/10.3133/sir20165061

Huizinga, R. J., & Heimann, D. C. (2018). Hydrographic surveys of rivers and lakes using a multibeam echosounder mapping system. U.S. Department of the Interior, U.S. Geological Survey. https://doi.org/10.3133/fs20183021

Ierodiaconou, D., Schimel, A. C., Kennedy, D., Monk, J., Gaylard, G., Young, M., Diesing, M., & Rattray, A. (2018). Combining pixel and object-based image analysis of ultra-high resolution multibeam bathymetry and backscatter for habitat mapping in shallow marine waters. Marine Geophysical Research, 39, 271–288. https://doi.org/10.1007/s11001-017-9338-z

International Hydrographic Organization. (2005). Manual on hydrography. The International Hydrographic Bureau. https://iho.int/uploads/user/pubs/cb/c-13/english/C-13_Chapter_1_and_contents.pdf

Lamarche, G., & Lurton, X. (2018). Recommendations for improved and coherent acquisition and processing of backscatter data from seafloor-mapping sonars. Marine Geophysical Research, 39, 5–22. https://doi.org/10.1007/s11001-017-9315-6

Lecours, V., Devillers, R., Schneider, D. C., Lucieer, V. L., Brown, C. J., & Edinger, E. N. (2015). Spatial scale and geographic context in benthic habitat mapping: Review and future directions. Marine Ecology Progress Series, 535, 259–284. https://doi.org/10.3354/meps11378

Lurton, X., & Lamarche, G. (Eds.). (2015). Backscatter measurements by seafloor‐mapping sonars: Guidelines and recommendations. https://webstatic.niwa.co.nz/static/BWSG_REPORT_MAY2015_web.pdf

Menandro, P. S., & Bastos, A. C. (2020). Seabed mapping: A brief history from meaningful words. Geosciences, 10, Article 273. https://doi.org/10.3390/geosciences10070273

Menandro, P. S., Bastos, A. C., Misiuk, B., & Brown, C. J. (2022). Applying a multi-method framework to analyze the multispectral acoustic response of the seafloor. Frontiers in Remote Sensing, 3, Article 860282. https://doi.org/10.3389/frsen.2022.860282

R2Sonic. (2019). Multibeam Echosounder specifications. Austin, Texas. https://www.r2sonic.com/wp-content/uploads/2020/03/MBES-Spec-US-03-02-2020.pdf

Šiljeg, A., Marić, I., Domazetović, F., Cukrov, N., Lovrić, M., & Panđa, L. (2022). Bathymetric survey of the St. Anthony Channel (Croatia) using Multibeam Echosounders (MBES)—A new methodological semi-automatic approach of point cloud post-processing. Journal of Marine Science Engineering, 10(1), Ar­ticle 101. https://doi.org/10.3390/jmse10010101