Geospatial data for landslide susceptibility mapping, Gammo Highlands, Ethiopia

The data contains geospatial data, model scripts, and figure generation code used in the study. The full pipeline used two modular Python scripts: lsm_pipeline_final.py (end-to-end pipeline: Phases 0–6, including CRS verification, feature extraction, ML training, spatial mapping, Jenks classification, and manuscript generation) and generate_all_manuscript_figures_final_1.py. The analysis was conducted in Python 3.10 using scikit-learn, LightGBM, XGBoost, SHAP, rasterio, geopandas, mapclassify, and scipy.