Open Access
Issue
BIO Web Conf.
Volume 216, 2026
The 6th Sustainability and Resilience of Coastal Management (SRCM 2025)
Article Number 01001
Number of page(s) 17
Section Geo-Marine and Mapping Application for Coastal Areas
DOI https://doi.org/10.1051/bioconf/202621601001
Published online 05 February 2026
  • S.A. Mukhtar, G. Handoyo, and H. Setiyono, “Studi Batimetri Dan Pasang Surut Untuk Rekomendasi Alur Pelayaran Di Dermaga Pelabuhan Marunda,” Indones. J. Oceanogr., vol. 6, no. 4, pp. 375-382, 2024, doi: 10.14710/ijoce.v6i4.16541. [Google Scholar]
  • M. Postacchini and A. Romano, “Dynamics of the Coastal Zone,” J. Mar. Sci. Eng., vol. 7, no. 12, pp. 7-9, 2019, doi: 10.3390/jmse7120451. [Google Scholar]
  • Z.A. Khamis, R. Kalliola, and N. Käyhkö, “Geographical characterization of the Zanzibar coastal zone and its management perspectives,” Ocean Coast. Manag., vol. 149, pp. 116-134, 2017, doi: 10.1016/j.ocecoaman.2017.10.003. [Google Scholar]
  • R. Bishop-Taylor, S. Sagar, L. Lymburner, and R.J. Beaman, “Between the tides: Modelling the elevation of Australia’s exposed intertidal zone at continental scale,” Estuar. Coast. Shelf Sci., vol. 223, no. March, pp. 115-128, 2019, doi: 10.1016/j.ecss.2019.03.006. [Google Scholar]
  • Osayi Philip Igbinenikaro, Oladipo Olugbenga Adekoya, and Emmanuel Augustine Etukudoh, “Review of Modern Bathymetric Survey Techniques and Their Impact on Offshore Energy Development,” Eng. Sci. Technol. J., vol. 5, no. 4, pp. 1281-1302, 2024, doi: 10.51594/estj.v5i4.1018. [Google Scholar]
  • P. Westfeld, H.G. Maas, K. Richter, and R. Weiß, “Analysis and correction of ocean wave pattern induced systematic coordinate errors in airborne LiDAR bathymetry,” ISPRS J. Photogramm. Remote Sens., vol. 128, pp. 314-325, 2017, doi: 10.1016/j.isprsjprs.2017.04.008. [Google Scholar]
  • M. Ellis, R. Formanek, and N. Townsend, “Satellite Derived Bathymetry AusSeabed Community Guidelines: Satellite Derived Bathymetry,” p. 13, 2022. [Google Scholar]
  • H. Cruz, M. Véstias, J. Monteiro, H. Neto, and R.P. Duarte, “A Review of Synthetic-Aperture Radar Image Formation Algorithms and Implementations: A Computational Perspective,” Remote Sens., vol. 14, no. 5, pp. 1-30, 2022, doi: 10.3390/rs14051258. [Google Scholar]
  • R.M. Asiyabi, A. Ghorbanian, S.N. Tameh, M. Amani, S. Jin, and A. Mohammadzadeh, “Synthetic Aperture Radar (SAR) for Ocean: A Review,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 16, pp. 9106-9138, 2023, doi: 10.1109/JSTARS.2023.3310363. [CrossRef] [Google Scholar]
  • T. Sagawa, Y. Yamashita, T. Okumura, and T. Yamanokuchi, “Shallow Water Bathymetry Derived by Machine Learning and Multitemporal Satellite Images,” Int. Geosci. Remote Sens. Symp., pp. 8222-8225, 2019, doi: 10.1109/IGARSS.2019.8899043. [Google Scholar]
  • D. Ushizima, Artificial neural networks. 2023. doi: 10.1201/9781003359593-7. [Google Scholar]
  • Z. Hidayah, A. Romadhon, and Y. Witjarnoko, “Penilaian Kerentanan Wilayah Pesisir Selatan Pulau Bawean terhadap Kenaikan Muka Air Laut Vulnerability Analysis of Sea Level Rise In The Southern Coast of Bawean Island,” vol. 20, no. 2, pp. 87-94, 2018, doi: 10.22146/jfs.36109. [Google Scholar]
  • F. Filipponi, “Sentinel-1 GRD Preprocessing Workflow,” p. 11, 2019, doi: 10.3390/ecrs-3-06201. [Google Scholar]
  • Y.-S. Kim, M.K. Kim, N. Fu, J. Liu, J. Wang, and J. Srebric, “Investigating the Impact of Data Normalization Methods on Predicting Electricity Consumption in a Building Using different Artificial Neural Network Models.,” Sustain. Cities Soc., vol. 118, no. June 2024, p. 105570, 2024, doi: 10.1016/j.scs.2024.105570. [Google Scholar]
  • H. Liu, H. Zeng, and H. Huang, “Bragg resonant re fl ection of surface waves from deep water to shallow water by a fi nite array of trapezoidal bars,” Appl. Ocean Res., vol. 94, no. October 2019, p. 101976, 2020, doi: 10.1016/j.apor.2019.101976. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.