Results 11 to 20 of about 4,601 (177)

High-Precision Inversion of Shallow Bathymetry under Complex Hydrographic Conditions Using VGG19—A Case Study of the Taiwan Banks

open access: yesRemote Sensing, 2023
Shallow bathymetry is important for ocean exploration, and the development of high-precision bathymetry inversion methods, especially for shallow waters with poor quality, is a major research aim.
Jiaxin Cui   +6 more
doaj   +1 more source

A comparison of supervised classification methods for the prediction of substrate type using multibeam acoustic and legacy grain-size data. [PDF]

open access: yesPLoS ONE, 2014
Detailed seabed substrate maps are increasingly in demand for effective planning and management of marine ecosystems and resources. It has become common to use remotely sensed multibeam echosounder data in the form of bathymetry and acoustic backscatter ...
David Stephens, Markus Diesing
doaj   +1 more source

Predicted Mapping of Seabed Sediments Based on MBES Backscatter and Bathymetric Data: A Case Study in Joseph Bonaparte Gulf, Australia, Using Random Forest Decision Tree

open access: yesJournal of Marine Science and Engineering, 2021
Predictive mapping of seabed sediments based on multibeam bathymetric (BM), and backscatter (BS) data is effective for mapping the spatial distribution of the substrate.
Wei Xu   +3 more
doaj   +1 more source

Late Pleistocene glaciation and retreat of ice sheet on the shelf of the South Orkney Plateau, West Antarctica

open access: yesЛëд и снег, 2021
The research aims to provide insight into reconstruction of the Late Pleistocene glaciations and ice retreat that followed the Last Glacial Maximum. The study is based on multi-channel seismic profiling and multibeam survey conducted on the shelf during ...
G. L. Leitchenkov, E. A. Bazhenova
doaj   +1 more source

Band-Optimized Bidirectional LSTM Deep Learning Model for Bathymetry Inversion

open access: yesRemote Sensing, 2023
Shallow water bathymetry is of great significance in understanding, managing, and protecting coastal ecological environments. Many studies have shown that both empirical models and deep learning models can achieve promising results from satellite imagery
Xiaotao Xi   +3 more
doaj   +1 more source

Review : Bathymetry Mapping Using Underwater Acoustic Technology

open access: yesJGEET: Journal of Geoscience, Engineering, Environment and Technology, 2019
The bathymetry mapping using underwater acoustic technology very important in Indonesia waters. Bathymetry is the result of measuring the height of the seabed so that the bathymetric map provides information about the seabed, where this information can ...
Muhammad Zainuddin Lubis   +3 more
doaj   +1 more source

Multibeam bathymetry raw data (Kongsberg EM 122 entire dataset) of RV SONNE during cruise SO241

open access: yes, 2021
Multibeam bathymetry raw data was recorded in the Pacific during cruise SO241 that took place between 2015-06-23 and 2015-07-24. The data was collected using the ship's own Kongsberg EM 120.
Berndt, Christian, Böttner, Christoph
core   +1 more source

Multibeam bathymetry of the Israel EEZ v2020.1

open access: yes, 2020
This data accompanies the paper 'Sediment transport mechanisms revealed by quantitative analyses of seafloor morphology: new evidence from multibeam bathymetry of the Israel Exclusive Economic Zone' in by Kanari et al., 2020, Journal of Marine ...
Kanari, M
core   +2 more sources

Multibeam bathymetry processed data (Kongsberg EM 122 entire dataset, MB-System data format) of RV METEOR during cruise M126

open access: yes, 2023
Multibeam bathymetry data using the ship's own Kongsberg EM 122 multibeam echosounder was almost continuously recorded during RV METEOR cruise M126. Data was recorded on 28 days between 2016-04-20 and 2016-05-20 in the North Atlantic Ocean.
Albrecht, Sebastian
core   +1 more source

Multibeam bathymetry raw data (Kongsberg EM710 entire dataset) of RV METEOR during cruise M154/1

open access: yes, 2021
Multibeam bathymetry raw data was recorded in the Atlantic during cruise M154/1 that took place between 2019-04-03 and 2019-04-25. The data was collected using the ship's own Kongsberg EM 710. This data is part of the DAM (German Marine Research Alliance)
Berndt, Christian, Böttner, Christoph
core   +1 more source

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