FLOOD SUSCEPTIBILITY MODELLING USING GEOSPATIAL-BASED MULTI-CRITERIA DECISION MAKING IN LARGE SCALE AREAS

5 citations as recorded by crossref.

1. Enhancing Landslide Vulnerability Mapping Through Automated Fuzzy Logic Algorithm-Based Methodology A. Bruzón et al. https://doi.org/10.1007/s10706-023-02714-z
2. Identifying suitable dam sites using geospatial data and machine learning: a case study of the katsina-ala river in Benue State, Nigeria U. Akajiaku et al. https://doi.org/10.1007/s12145-025-01974-y
3. River Flood Risk Assessment in Communities of the Peruvian Andes: A Semiquantitative Application for Disaster Prevention D. Ccopi-Trucios et al. https://doi.org/10.3390/su151813768
4. A novel explainable PSO-XGBoost model for regional flood frequency analysis at a national scale: Exploring spatial heterogeneity in flood drivers Y. Kanani-Sadat et al. https://doi.org/10.1016/j.jhydrol.2024.131493
5. A novel explainable stacking ensemble model for estimating design floods: A data-driven approach for ungauged regions Y. Kanani-Sadat et al. https://doi.org/10.1016/j.aei.2025.103429