September 12, 2025SustainabilityOpen Access

Integrating CMIP6 and Remote Sensing Datasets for Current and Future Flood Susceptibility Projections Using Machine Learning Under Climate Change Scenarios in Demak District for Future Sustainable Planning

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This analysis demonstrates increased flood susceptibility under climate scenarios in Demak District, indicating the need for adaptive planning.

Future projections show a rise in flood susceptibility, with very high areas increasing from 16.67% to 27.43% by 2100.
The XGBoost model provided the best performance for both current and future flood susceptibility predictions.
Integration of CMIP6 data and remote sensing enhances model reliability and reduces uncertainties in projections.
The study emphasizes the importance of machine learning techniques in flood risk management and climate adaptation.

Verdyansyah et al. (2025) studied this question.

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This analysis demonstrates increased flood susceptibility under climate scenarios in Demak District, indicating the need for adaptive planning.