Gebco | List of Frontiers open access articles

Original Research

Published on 16 Dec 2024

Enhancing bathymetric prediction by integrating gravity and gravity gradient data with deep learning

in Ocean Observation

Junhui Li
Nengfang Chao
Houpu Li
Gang Chen
Shaofeng Bian
Zhengtao Wang
Aoyu Ma

Frontiers in Marine Science

doi 10.3389/fmars.2024.1520401

2,157 views
2 citations

Brief Research Report

Published on 18 Nov 2025

Seamounts and related topographic highs – automated mapping in support of sustainable ocean management, Norway

in Geoinformatics

Margaret F. J. Dolan
Lilja R. Bjarnadóttir

Frontiers in Earth Science

doi 10.3389/feart.2025.1690996

1,369 views

Review

Published on 15 May 2023

Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping

in Ocean Observation

Zhuoxiao Li
Zitian Peng
Zheng Zhang
Yijie Chu
Chenhang Xu
Shanliang Yao
Ángel F. García-Fernández
Xiaohui Zhu
Yong Yue
Andrew Levers

Frontiers in Marine Science

doi 10.3389/fmars.2023.1178845

26,539 views
87 citations

Original Research

Published on 16 Feb 2024

Seafloor morphology and substrate mapping in the Gulf of St Lawrence, Canada, using machine learning approaches

in Ocean Observation

Emily Sklar
Esther Bushuev
Benjamin Misiuk
Guillaume Labbé-Morissette
Craig J. Brown

Frontiers in Marine Science

doi 10.3389/fmars.2024.1306396

6,087 views
6 citations

Original Research

Published on 26 Oct 2023

An evaluation of the General Bathymetric Chart of the Ocean in shoreline-crossing geomorphometric investigations of volcanic islands

in Ocean Observation

Elisa Klein
Emma Hadré
Sebastian Krastel
Morelia Urlaub

Frontiers in Marine Science

doi 10.3389/fmars.2023.1259262

3,416 views
8 citations

Original Research

Published on 21 Apr 2021

Evaluating Accuracy of HY-2A/GM-Derived Gravity Data With the Gravity-Geologic Method to Predict Bathymetry

in Solid Earth Geophysics

Zhijie Wei
Jinyun Guo
Chengcheng Zhu
Jiajia Yuan
Xiaotao Chang
Bing Ji

Frontiers in Earth Science

doi 10.3389/feart.2021.636246

3,841 views
18 citations

Articles

Enhancing bathymetric prediction by integrating gravity and gravity gradient data with deep learning

Seamounts and related topographic highs – automated mapping in support of sustainable ocean management, Norway

Exploring modern bathymetry: A comprehensive review of data acquisition devices, model accuracy, and interpolation techniques for enhanced underwater mapping

Seafloor morphology and substrate mapping in the Gulf of St Lawrence, Canada, using machine learning approaches

An evaluation of the General Bathymetric Chart of the Ocean in shoreline-crossing geomorphometric investigations of volcanic islands

Evaluating Accuracy of HY-2A/GM-Derived Gravity Data With the Gravity-Geologic Method to Predict Bathymetry