Unsupervised Machine Learning and GIS-Based Fusion for Landslide Susceptibility Mapping: A Case Study from Mashair Mina, Saudi Arabia

Sayed S. R. Moustafa; Mohamed S. Abdalzaher; Nassir S. Al-Arifi

doi:10.1080/13632469.2025.2582470

Seismology Department The Egyptian National Seismic Network (ENSN) 2025 Q1 · SJR

Unsupervised Machine Learning and GIS-Based Fusion for Landslide Susceptibility Mapping: A Case Study from Mashair Mina, Saudi Arabia

Sayed S. R. Moustafa, Mohamed S. Abdalzaher, Nassir S. Al-Arifi

Journal of Earthquake Engineering · 2025

No abstract available for this record.

Keywords

Landslide Unsupervised learning Support vector machine Artificial neural network Fusion Landslides and related hazards Disaster Management and Resilience Groundwater and Watershed Analysis

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How to cite

Moustafa, S. S. R., Abdalzaher, M. S., & Al-Arifi, N. S. (2025). Unsupervised Machine Learning and GIS-Based Fusion for Landslide Susceptibility Mapping: A Case Study from Mashair Mina, Saudi Arabia. Journal of Earthquake Engineering, 30(3), 805–834. https://doi.org/10.1080/13632469.2025.2582470