Landslide susceptibility mapping in El Salvador

This presentation shows the preliminary results of a landslide susceptibility model developed for El Salvador. The model was created as part of a collaboration between the Ministry of Environment and Natural Resources of El Salvador and the U.S. Geological Survey (USGS). The XGBoost algorithm was used to build a statistical model to predict landslide occurrence, using slope units as the mapping units. The results show good agreement between the model predictions and the dataset used for validation. This model is expected to support improved landslide risk management in El Salvador.

Landslide susceptibility mapping in El Salvador, Martinez (2026), USGS Landslide Hazards Seminar, 22 January 2026.