Predicting urban landslides in the hilly regions of Bangladesh leveraging a hybrid machine learning model and CMIP6 climate projections

Md․ Ashraful Islam, Musabbir Ahmed Arrafi, Mehedi Hasan Peas, Tanvir Hossain, Md Mehedi Hasan, Sanzida Murshed, Monira Jahan Tania

Abstract: Highlights•The study predicts urban landslide susceptibility in the hilly region of Bangladesh.•A hybrid model combining logistic regression and Bernoulli Naïve Bayes.•CMIP6 GCM was incorporated to project climate impacts across various future periods.•High-very high risk area slightly increases from 12 % due to climate change.

External IDs:doi:10.1016/j.geogeo.2025.100354