ANALYSIS OF BEAM ANGLE INFLUENCE AND ITS RELATIONSHIP TO BACKSCATTER USING ANGULAR RANGE ANALYSIS
ANALISIS PENGARUH DAN HUBUNGAN BEAM ANGLE TERHADAP HAMBUR BALIK DENGAN METODE ANGULAR RANGE ANALYSIS
DOI:
https://doi.org/10.24319/jtpk.17.313-324Keywords:
Angular Range Analysis, beam angle, MBES backscatter, Pari Island, polynomial patternAbstract
The shallow waters of Pari Island exhibit diverse seafloor substrates, making them an ideal site for hydroacoustic seabed characterization studies. This study aims to analyze backscatter variations at different beam angles and evaluate the mathematical relationship between beam angle and backscatter intensity using the Angular Range Analysis (ARA) method. The novelty of this study lies in modeling the beam angle-backscatter relationship in tropical shallow-water environments in Indonesia, which remains relatively limited in the literature. Data were acquired using a 300 kHz Teledyne Reson SeaBat T50-R Multibeam Echosounder (MBES) and processed using the Fladermaus Geocoder Toolbox (FMGT), while surface sediment samples were collected using a Van Veen grab sampler. ARA generated angular response curves showing that the highest backscatter values consistently occurred at nadir (0°) and gradually decreased toward grazing angles. Backscatter values ranged from -19.27 dB to -37.41 dB. The average backscatter values for sand, silty sand, and coral fragments or rock were -32 dB, -34 dB, and -30 dB, respectively. The beam angle–backscatter relationship was modeled using second- and third-order polynomial regressions, yielding coefficients of determination of 0.9064-0.998 and 0.9251-0.999, respectively. The results indicate that changes in beam angle adequately explain the backscatter variation. These findings demonstrate that ARA is effective for characterizing backscatter angular response patterns and support MBES data interpretation in tropical shallow waters.
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References
Adi AP, Manik HM, Pujiyati S. 2016. Integrasi Data Multibeam Batimetri dan Mosaik Backscatter untuk Klasifikasi Tipe Sedimen. Jurnal Teknologi Perikanan dan Kelautan. 7(1): 77–84. DOI: https://doi.org/10.24319/jtpk.7.77-84.
Amiri-Simkooei AR, Snellen M, Simons DG. 2009. Riverbed Sediment Classification Using Multi-Beam Echo-Sounder Backscatter Data. The Journal of the Acoustical Society of America. 126(4): 1724–1738. DOI: https://doi.org/10.1121/1.3205397.
Brown CJ, Beaudoin J, Brissette M, Gazzola V. 2019. Multispectral Multibeam Echo Sounder Backscatter as a Tool for Improved Seafloor Characterization. Geosciences. 9(3): 126. DOI: https://doi.org/10.3390/geosciences9030126.
Brown CJ, Blondel P. 2009. Developments in the Application of Multibeam Sonar Backscatter for Seafloor Habitat Mapping. Applied Acoustics. 70(10): 1242–1247. DOI: https://doi.org/10.1016/j.apacoust.2008.08.004.
Brown CJ, Smith SJ, Lawton P, Anderson JT. 2011. Benthic Habitat Mapping: A Review of Progress Towards Improved Understanding of the Spatial Ecology of the Seafloor Using Acoustic Techniques. Estuarine, Coastal and Shelf Science. 92(3): 502–520. DOI: https://doi.org/10.1016/j.ecss.2011.02.007.
Cantera-Cantera LA, Vargas-Jarillo C, Palomino-Reséndiz SI, Lozano-Hernández Y, Montelongo-Vázquez CM. 2022. A Polynomial Fitting Problem: The Orthogonal Distances Method. Mathematics. 10(23): 4596. DOI: https://doi.org/10.3390/math10234596.
Chen A, Chen C. 2013. Evaluation of Piecewise Polynomial Equations for Two Types of Thermocouples. Sensors. 13(12): 17084–17097. DOI: https://doi.org/10.3390/s131217084.
Diesing M, Green SL, Stephens D, Lark RM, Stewart HA, Dove D. 2014. Mapping Seabed Sediments: Comparison of Manual, Geostatistical, Object-Based Image Analysis and Machine Learning Approaches. Continental Shelf Research. 84: 107–119. DOI: https://doi.org/10.1016/j.csr.2014.05.004.
Fahrulian F, Manik HM, Jaya I, Udrekh U. 2016. Angular Range Analysis (ARA) and K-Means Clustering of Multibeam Echosounder Data for Determining Sediment Type. ILMU KELAUTAN: Indonesian Journal of Marine Sciences. 21(4): 177–184. DOI: https://doi.org/10.14710/ik.ijms.21.4.177-184.
Ferrini VL, Flood RD. 2006. The Effects of Fine-Scale Surface Roughness and Grain Size on 300 Khz Multibeam Backscatter Intensity in Sandy Marine Sedimentary Environments. Marine Geology. 228(1–4): 153–172. DOI: https://doi.org/10.1016/j.margeo.2005.11.010.
Fonseca L, Brown C, Calder B, Mayer L, Rzhanov Y. 2009. Angular Range Analysis of Acoustic Themes from Stanton Banks, Ireland: A Link Between Visual Interpretation and Multibeam Echosounder Angular Signatures. Applied Acoustics. 70(10): 1298–1304. DOI: https://doi.org/10.1016/j.apacoust.2008.09.008.
Fonseca LE, Calder BR. 2005. Geocoder: An Efficient Backscatter Map Constructor. Proceedings of the U.S. Hydrographic Conference, March 29–31, 2005, San Diego, California, USA. Hydrographic Society of America.
Fonseca L, Mayer L. 2007. Remote Estimation of Surficial Seafloor Properties through the Application Angular Range Analysis to Multibeam Sonar Data. Marine Geophysical Researches. 28: 119–126. DOI: https://doi.org/10.1007/s11001-007-9019-4.
Handoko D, Manik HM, Hestirianoto T, Priandana K, Hasan RC. 2025. Acoustic Sediment Classification Using High-Frequency (400 kHz) Multibeam Data in Pari Water of Seribu Island, Indonesia. ILMU KELAUTAN: Indonesian Journal of Marine Sciences. 30(1): 135–144. DOI: https://doi.org/10.14710/ik.ijms.30.1.135-144.
Huang Z, Siwabessy J, Cheng H, Nichol S. 2018. Using Multibeam Backscatter Data to Investigate Sediment-Acoustic Relationships. Journal of Geophysical Research: Oceans. 123: 4649–4665. DOI: https://doi.org/10.1029/2017JC013638.
Hughes CJE, Mayer LA, Wells DE. 1996. Shallow-water Imaging Multibeam Sonars: A New Tool for Investigating Seafloor Processes in the Coastal Zone and on the Continental Shelf. Marine Geophysical Researches. 18: 607–629. DOI: https://doi.org/10.1007/BF00313877.
Jackson DR, Winebrenner DP, Ishimaru A. 1986. Application of the Composite Roughness Model to High-frequency Bottom Backscattering. The Journal of the Acoustical Society of America. 79(5): 1410–1422. DOI: https://doi.org/10.1121/1.393669.
Janowski L, Trzcinska K, Tegowski J, Kruss A, Rucinska-Zjadacz M, Pocwiardowski P. 2018. Nearshore Benthic Habitat Mapping Based on Multi-frequency, Multibeam Echosounder Data Using a Combined Object-based Approach: A Case Study from the Rowy Site in the Southern Baltic Sea. Remote Sensing. 10(12): 1983. DOI: https://doi.org/10.3390/rs10121983.
Lamarche G, Lurton X, Verdier AL, Augustin JM. 2011. Quantitative Characterisation of Seafloor Substrate and Bedforms Using Advanced Processing of Multibeam Backscatter—Application to the Cook Strait, New Zealand. Continental Shelf Research. 31(2): S93–S109. DOI: https://doi.org/10.1016/j.csr.2010.06.001.
Menandro PS, Bastos AC, Misiuk B, Brown CJ. 2022. Applying a Multi-Method Framework to Analyze the Multispectral Acoustic Response of the Seafloor. Frontiers in Remote Sensing. 3: 860282. DOI: https://doi.org/10.3389/frsen.2022.860282.
Runya RM, McGonigle C, Quinn R, Howe J, Collier J, Fox C, Dooley J, O'Loughlin R, Calvert J, Scott L, et al. 2021. Examining the Links between Multi-Frequency Multibeam Backscatter Data and Sediment Grain Size. Remote Sensing. 13(8): 1539. DOI: https://doi.org/10.3390/rs13081539.
Schimel A, Ladroit Y, Watson S. 2024. Espresso: Open-Source Software Tool for the Visualizing and Analysing of Multibeam Water-Column Data. EGU General Assembly 2024, April 14–19, 2024, Vienna, Austria. EGU24-11043. DOI: https://doi.org/10.5194/egusphere-egu24-11043.
Shepard FP. 1954. Nomenclature Based on Sand-silt-clay Ratios. Journal of Sedimentary Research. 24(3): 151–158. DOI: https://doi.org/10.1306/D4269774-2B26-11D7-8648000102C1865D.
Teledyne Marine. 2025. SeaBat T50-R Product Datasheet. https://www.teledynemarine.com/en-us/products/SiteAssets/RESON/SeaBat%20T50-R%20product%20leaflet.pdf. [September 12, 2025].
Trzcinska K, Janowski L, Nowak JJ, Rucinska-Zjadacz M, Kruss A, Schneider von Deimling J, Pocwiardowski P, Tegowski J. 2020. Spectral Features of Dual-frequency Multibeam Echosounder Data for Benthic Habitat Mapping. Marine Geology. 427: 106239. DOI: https://doi.org/10.1016/j.margeo.2020.106239.
Yusaini QY, Muhamad MAH, Razali R, Hasan RC, Said MSM, Zainal MZM, Nuradi I. 2025. Seabed Classification from Multi-Frequency Multibeam Data: A Study from Selorejo, Malang, Indonesia. Revue Internationale de Géomatique. 34: 535–552. DOI: https://doi.org/10.32604/rig.2025.065284.
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