Exploring the drivers of reef island shoreline change using machine learning models

Exploring the drivers of reef island shoreline change using machine learning models

Abstract Empirical records of reef island shoreline change show magnitude and styles of island change are highly variable over various spatio-temporal scales. However, the attribution of processes as drivers of observed change is poorly resolved. In this study, we develop machine-learning models to...

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Bibliographic Details
Main Authors: Meghna Sengupta, Murray R. Ford, Paul S. Kench, George L.W. Perry
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Coral reef islands
Atolls
Shoreline change
Pacific ocean
Machine learning
Climate change
Online Access:https://doi.org/10.1038/s41598-025-00136-w
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https://doi.org/10.1038/s41598-025-00136-w

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