Coseismic landslide runout distance prediction based on hybrid stacking ensemble model

Integrated landslide susceptibility and risk mapping using geophysical data in Çayeli (Rize) district

In this study, an integrated machine learning-based analysis was conducted to determine landslide susceptibility in Çayeli district. Topographic, hydrological, geological, climatic, and seismic/geotechnical factors were jointly evaluated using data obtained from AFAD, MTA, CORINE, OpenStreetMap, and Digital Elevation M...

An Interpretable Stacking Ensemble Framework for Defining Rainfall–Geoenvironmental Coupling Thresholds of Shallow Landslides

Rainfall-induced landslides exhibit marked spatio-temporal heterogeneity and multi-factor coupling. Existing susceptibility methods struggle to balance predictive accuracy with interpretability in nonlinear settings. This study addresses this gap by developing a Stacking ensemble framework integrated with SHAP analysis...

Comparative Machine Learning Approaches to Landslide Susceptibility in Southeastern Türkiye

Landslides are among the most destructive natural hazards in mountainous regions, causing severe economic losses and infrastructure damage. Reliable susceptibility mapping is essential for hazard mitigation and sustainable land-use planning, particularly in tectonically active areas such as southeastern Türkiye. This s...

Hybrid Ensemble Machine Learning for Landslide Susceptibility Mapping and Management Planning in the Kamchik Pass, Uzbekistan

Landslide susceptibility assessment is essential for maintaining resilient mountain transport corridors where slope failures can disrupt mobility, freight movement, and economic activity. This study evaluated standalone and hybrid machine-learning models for the Kamchik Pass corridor of Uzbekistan, which carries the A-...

Catastrophe theory and AHP modelling of landslide susceptibility using multi-source geodata in southwestern Nigeria

Landslides are among the most destructive natural hazards in mountainous and structurally complex terrains, posing significant threats to lives, infrastructure, and sustainable development. Accurate Landslide Susceptibility Mapping (LSM) is therefore essential for hazard mitigation and land-use planning. This study dev...

LANDSLIDE SUSCEPTIBILITY MODELLING AND INFRASTRUCTURE EXPOSURE IN THE ZILLERTAL, AUSTRIAN ALPS