Skip to content
Review Open access

A new regional-scale multibeam echosounder bathymetric dataset of the Saudi Arabian Red Sea

Sep 2026 · Earth System Science Data · 0 citations · 45 references

Abstract

Abstract. High-resolution bathymetry is a critical resource for marine research, underpinning seafloor characterisation, benthic habitat mapping, geomorphological analyses, and marine spatial planning. In the Red Sea, however, publicly accessible high-resolution bathymetric data remain extremely limited along the eastern margin. Existing regional products such as the General Bathymetric Chart of the Oceans (GEBCO) provide only coarse resolution coverage, and detailed surveys have historically been concentrated along the central axis rather than the Saudi Arabian shelf and slope. Here, we present a high-resolution bathymetric dataset acquired during the 2022 Red Sea Decade Expedition (RSDE) along the Saudi Arabian margin of the Red Sea (https://doi.org/10.5281/zenodo.19065211, Marchese et al., 2026). Multibeam echosounder surveys span approximately 860 km of coastline and extend from shallow coastal waters to deep-sea environments, covering depths from ∼ 2 m > 2460 m. Data were acquired using multiple platforms and processed through a standardised workflow to produce a unified digital bathymetric model. Grid resolutions are 5 m for the shallow-water data and 40 m for the deep-water data, covering a total of 49 418.7 km2 of seafloor. This dataset provides unprecedented spatial coverage of the eastern Red Sea seafloor and represents a key resource for marine sciences and marine spatial planning in a region where available detailed bathymetry has historically been limited.

Read PDF

Similar papers

Open access Sep 2026

Vertical accuracy of satellite-derived bathymetry developed using ICESat-2 ATL03 data for Brazilian coastal waters

Satellite-Derived Bathymetry (SDB) offers a cost-effective solution for mapping and monitoring coastal environments, especially where in situ data are limited or outdated. The ICESat-2 mission, through its ATL03 photon-counting lidar product, provides high-resolution geolocated photon data suitable for depth retrieval...

Laura Coelho de Andrade, Kim Lowell, Nilcilene das Graças Medeiros et al. · 0 citations
2026

Satellite-Based Framework for Detecting Seabed Dynamics from Shoreline Variability along Spit Coasts—A Pilot Study from the Hel Peninsula

This study presents a pilot, data-driven framework for detecting nearshore seabed dynamics based on shoreline variability derived from high-resolution satellite imagery, integrated with in situ bathymetric measurements along the Hel Peninsula in the southern Baltic Sea. The approach focuses on assessing whether satelli...

Patryk Sapiega, T. Zalewska · 0 citations
Open access Oct 2026

Satellite Altimetry Reveals Spatially Heterogeneous Sea-Level Rise, Mesoscale Variability, and Increasingly Frequent Extremes in the East Sea (Sea of Japan), 1993–2024: Dokdo in Regional Context

The East Sea (Sea of Japan) is a semi-enclosed marginal sea with an energetic mesoscale eddy field along the Tsushima Warm Current and its subpolar front. Unlike prior point reconstructions of Dokdo sea level, we use 0.125° gridded satellite altimetry (DUACS, 1993–2024) to map the spatial structure of the basin’s rise,...

MyeongHee Han, Hak-Soo Lim · 0 citations
Review Open access Sep 2026

Spatiotemporal variations in trawling intensity in the German Baltic Sea Basins based on bathymetric data

Bottom trawling is the largest source of anthropogenic seafloor disturbance globally, yet spatiotemporal variations are poorly constrained in most regions due to non-reporting or low-resolution fishing effort data. To overcome this gap in knowledge, we use a U-Net convolutional neural network to segment trawl marks acr...

P. Feldens, Inken Schulze, J. Geersen et al. · 0 citations
Review Open access Sep 2026

Full-ocean-depth EM124 mapping of the Challenger Deep by R/V Hakuho-maru and depth-estimate sensitivity tests

The Challenger Deep in the Mariana Trench is the deepest known point on Earth, yet recent depth estimates still differ by several meters because of environmental and instrumental uncertainties. Here we present a new full-ocean-depth multibeam bathymetric dataset collected with a Kongsberg EM124 echosounder aboard R/V H...

M. Fujii, Chiori Tamura, Yasuhiko Ohara et al. · 0 citations
Review Open access Aug 2026

A geospatially encoded dual-channel network with attention and physics constraints for accurate seafloor topography reconstruction

Mapping seafloor topography is of great significance for deep-sea navigation, marine resource exploration, and aquatic ecosystem conservation. Advances in bathymetric surveying technology have progressively enriched our understanding of the oceans. However, due to the high cost and low coverage of ship-based surveys, e...

Jia Hu, Yi-Feng Luo, Chao Wang et al. · 1 citation

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.