Machine Learning Beach Attendance Forecast Modelling from Automatic Video-Derived Counting

Machine Learning Beach Attendance Forecast Modelling from Automatic Video-Derived Counting

Accurate predictions of beach user numbers are important for coastal management, resource allocation, and minimising safety risks, especially when considering surf-zone hazards. The present work applies an XGBoost model to predict beach attendance from automatically video-derived data, incorporating...

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Bibliographic Details
Main Authors: Bruno Castelle, David Carayon, Jeoffrey Dehez, Sylvain Liquet, Vincent Marieu, Nadia Sénéchal, Sandrine Lyser, Jean-Philippe Savy, Stéphanie Barneix
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Journal of Marine Science and Engineering
Subjects:
beach attendance forecasting
XGBoost modelling
video-derived beach user data
weather and tidal influences
coastal safety management
Online Access:https://www.mdpi.com/2077-1312/13/6/1181
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