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Modeling Coastal Flood Mitigation in Dynamic Shoreline Change Regions of Northern Java, Indonesia
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DOI：10.1016/j.eti.2025.104726.png)
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Abstract
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• Over 2,000 hectares in Cirebon were identified as high-risk flood zones. • We introduced a new way to combine shoreline change and tidal flood data using machine learning. • The method uses both satellite imagery and coastal vulnerability models for better accuracy. • Our analysis shows clear patterns of erosion and sea level rise affecting vulnerable areas. • These results give strong evidence to support smarter, targeted flood risk planning.
Keywords:
Coastal Hazard Mitigation
Coastal flood
machine learning
remote sensing
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