A deep learning approach for estimation of the nearshore bathymetry

R Benshila, G Thoumyre, MA Najar… - Journal of Coastal …, 2020 - meridian.allenpress.com
ABSTRACT Benshila, R.; Thoumyre, G.; Al Najar, M.; Absessolo, G.; Almar, R.; Bergsma, E.;
Hugonnard, G.; Labracherie, L.; Lavie, B.; Ragonneau, T.; Simon, E.; Vieuble, B., and Wilson …

Simultaneous mapping of nearshore bathymetry and waves based on physics-informed deep learning

Q Chen, N Wang, Z Chen - Coastal Engineering, 2023 - Elsevier
This paper uses physics-informed neural networks (PINNs) to simultaneously determine
nearshore water depths and wave height fields based on remote sensing of the ocean …

Satellite derived bathymetry using deep learning

M Al Najar, G Thoumyre, EWJ Bergsma, R Almar… - Machine Learning, 2023 - Springer
Coastal development and urban planning are facing different issues including natural
disasters and extreme storm events. The ability to track and forecast the evolution of the …

Coastal bathymetry estimation from Sentinel-2 satellite imagery: Comparing deep learning and physics-based approaches

MA Najar, R Benshila, YE Bennioui, G Thoumyre… - Remote Sensing, 2022 - mdpi.com
The ability to monitor the evolution of the coastal zone over time is an important factor in
coastal knowledge, development, planning, risk mitigation, and overall coastal zone …

Study of various machine learning approaches for Sentinel-2 derived bathymetry

A Chybicki, P Sosnowski, M Kulawiak, T Bieliński… - Plos one, 2023 - journals.plos.org
In recent years precise and up-to-date information regarding seabed depth has become
more and more important for companies and institutions that operate on coastlines. While …

Nearshore bathymetry from ICESat-2 LiDAR and Sentinel-2 imagery datasets using deep learning approach

J Zhong, J Sun, Z Lai, Y Song - Remote Sensing, 2022 - mdpi.com
Accurate bathymetric data is crucial for marine and coastal ecosystems. A lot of studies have
been carried out for nearshore bathymetry using satellite data. The approach adopted …

A combined color and wave-based approach to satellite derived bathymetry using deep learning

M Al Najar, Y El Bennioui, G Thoumyre… - XXIV ISPRS Congress …, 2022 - hal.science
Knowledge of the evolution of the littoral zone over time is paramount for coastal science
and coastal zone management. However, traditional bathymetric surveys using echo …

[HTML][HTML] Blending bathymetry: Combination of image-derived parametric approximations and celerity data sets for nearshore bathymetry estimation

J Lee, K DeVore, T Hesser, AS Bak, K Brodie… - Coastal …, 2024 - Elsevier
Estimation of nearshore bathymetry is important for accurate prediction of nearshore wave
conditions. However, direct bathymetry data collection is expensive and time-consuming …

Satellite-derived bathymetry for selected shallow Maltese coastal zones

G Darmanin, A Gauci, A Deidun, L Galone, S D'Amico - Applied Sciences, 2023 - mdpi.com
Featured Application The main outcome and procedure described in this paper aim to equip
Public Administrations with a tool that can provide on-demand support. Abstract Bathymetric …

Development of a fully convolutional neural network to derive surf-zone bathymetry from close-range imagery of waves in Duck, NC

AM Collins, MP Geheran, TJ Hesser, AS Bak… - Remote Sensing, 2021 - mdpi.com
Timely observations of nearshore water depths are important for a variety of coastal
research and management topics, yet this information is expensive to collect using in situ …