Using Random forest and Gradient boosting trees to improve wave forecast at a specific location

A Callens, D Morichon, S Abadie, M Delpey… - Applied Ocean …, 2020 - Elsevier
The main objective is to present alternative algorithms to neural networks when improving
sea state forecast by numerical models considering main spectral bulk parameters at a …

[HTML][HTML] Assessment of satellite-derived shorelines automatically extracted from Sentinel-2 imagery using SAET

JE Pardo-Pascual, J Almonacid-Caballer… - Coastal …, 2024 - Elsevier
The definition of the shoreline position from satellite imagery is of great interest among
coastal monitoring techniques. Understanding the reality mapped by the resulting shorelines …

Field observations and numerical modeling of swash motions at an engineered embayed beach under moderate to energetic conditions

J Pinault, D Morichon, M Delpey, V Roeber - Estuarine, Coastal and Shelf …, 2022 - Elsevier
Wave run-up is a key factor for the assessment of coastal flood risk during large swell
events. The behavior of swash motions along embayed beaches is strongly influenced by …

[HTML][HTML] Analysis of the coastal flooding exposure of embayed beaches at a regional scale using a video monitoring network: Basque Coast (Spain)

A Abalia, I de Santiago, P Liria, R Garnier… - Ocean & Coastal …, 2024 - Elsevier
Coastal zones are highly exposed to storm waves that can affect natural values and damage
coastal facilities and engineering structures to varying degrees. The definition of a regional …

Spatial distribution of wave energy over complex coastal bathymetries: Development of methodologies for comparing modeled wave fields with satellite observations

A Varing, JF Filipot, M Delpey, G Guitton, F Collard… - Coastal …, 2021 - Elsevier
In this study we show that spectral and phase-resolving wave models, used for coastal
engineering applications, can provide significant differences in the local wave heights and …

Coastal flooding event definition based on damages: Case study of Biarritz Grande Plage on the French Basque coast

F Arnoux, S Abadie, X Bertin, I Kojadinovic - Coastal Engineering, 2021 - Elsevier
This paper presents a method to include damage at the initial stage of coastal flooding
events definition and in return periods computation. The methodology is illustrated within a …

[HTML][HTML] Automatic creation of storm impact database based on video monitoring and convolutional neural networks

A Callens, D Morichon, P Liria, I Epelde, B Liquet - Remote Sensing, 2021 - mdpi.com
Data about storm impacts are essential for the disaster risk reduction process, but unlike
data about storm characteristics, they are not routinely collected. In this paper, we …

Bayesian networks to predict storm impact using data from both monitoring networks and statistical learning methods

A Callens, D Morichon, B Liquet - Natural Hazards, 2023 - Springer
Bayesian networks are probabilistic graphical models that are increasingly used to translate
hydraulic boundary conditions during storm events into onshore hazards. However …

Risk map** assessment by means of probabilistic storm scenarios in a partially engineered beach: Anglet, France

I De Santiago, D Morichon, F Arnoux… - Journal of Coastal …, 2018 - meridian.allenpress.com
ABSTRACT de Santiago, I.; Morichon, D.; Arnoux, F.; Delpey, M., and Epelde, I., 2018. Risk
map** assessment by means of probabilistic storm scenarios in a partially engineered …

Barrier beach modelling as a management tool

B Subbiah Elavazhagan - 2023 - upcommons.upc.edu
Barrier beaches are one of the most dynamic and vulnerable coastal landforms found
between open seas and closed/semi-closed enclosures like bays, marshlands or estuaries …