The LHASA-Mekong maps areas of potential landslide hazard in real-time to mitigate disaster risk in the Lower Mekong Region (LMR). The application incorporates landslide inventories within a machine-learning framework to estimate the relative probability of occurrence. The decision support tool relies on the following variables: slope, relief, distance to rivers, the distance to roads, lithological strength, precipitation, and soil moisture. Precipitation is estimated using the Integrated Multi-Satellite Retrievals for Global Precipitation Measurement (GPM-IMERG), while precipitation forecasts are derived from CHIRPS-GEFS, which merges observations from the Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) data set with the Global Ensemble Forecast System (GEFS). It also estimates the potential exposure of local communities to landslide hazards. The model has been validated with reference to new inventories of rainfall-triggered landslide events. LHASA-Mekong is open-source and produces landslide probability at a 1-kilometer resolution.