The methodology involves integrating landslide susceptibility and earthquake characteristics or rainfall data to determine, on a global scale, the probability of earthquake- and precipitation-induced landslides. The latter is assessed for both present and future climate conditions. The susceptibility map categorises different terrains into five susceptibility classes, considering factors such as slope, vegetation (land use), lithology, and soil moisture, using global datasets. Rainfall information is gathered from the W5E5 dataset from 1979 to 2016 and the IPSL-CM6A-LR climate model from the ISIMIP3b dataset, covering the SSP126 and SSP585 scenarios for 2061-2100. To evaluate the potential for rainfall-triggered landslides, 24-hour rainfall intensities are utilised to classify areas into five rainfall hazard classes. The potential for earthquake-induced landslides is assessed based on the peak ground acceleration (PGA) of the earthquake event (scenario) at a given location and the susceptibility index of the terrain at that location. The landslide susceptibility map(s) and rainfall data or earthquake PGA are combined to produce a hazard matrix. The result is a probabilistic hazard map that can be used for scenario-based assessment of global landslide risk to critical infrastructure, with a resolution of three arc seconds (approximately 90 metres at the equator) for the globe