Author

Narueset Prasertsri

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Open access Jul 2026

Spatio-Temporal Machine Learning for Flood Risk Assessment Under SSP Scenarios: A Case Study of Maha Sarakham, Thailand

This study developed and evaluated machine learning models for flood severity prediction within a hexagonal grid system under rainy season conditions in Maha Sarakham, Thailand and recommends XGBoost for operational forecasting due to its temporal stability, computational efficiency, and interpretability.

Narueset Prasertsri, P. Littidej, Benjamabhorn Pumhirunroj et al. · Sustainability · 1 citation