Data for "Variability of landslide susceptibility models under different ground motion scenarios in Rasuwa District, Nepal"

This dataset provides comprehensive geospatial information for analyzing landslide susceptibility variability under different peak ground acceleration (PGA) scenarios in the Rasuwa District, Nepal, following the 2015 Gorkha Earthquake. It is designed to support research on coseismic landslide distribution, seismic hazard assessment, and spatiotemporal modeling of landslide susceptibility. Included Data 1. Coseismic Landslide Inventory (Shapefiles) A collection of 890 mapped landslide polygons delineated after the 2015 Gorkha Earthquake. Landslides were mapped manually by visually interpreting cloud-free, high-resolution satellite imagery (WorldView series, GeoEye-1, and RapidEye) acquired by Maxar Technologies between: April 14, 2015 (pre-earthquake), and June 10, 2015 (post-earthquake). Imagery was accessed and analyzed using Google Earth Pro. The shapefile dataset provides accurate spatial extents of coseismic landslides for hazard evaluation and model validation. 2. Seismic Hazard Maps and Landslide Susceptibility Maps (.tif) This dataset includes a series of raster layers representing both seismic hazard and modeled landslide susceptibility: Four probabilistic seismic hazard maps (PSHA-based) corresponding to 50-year probability of exceedance levels: 50%, 10%, 5%, and 2% probability. Each seismic hazard map is paired with a landslide susceptibility map generated using logistic regression models. To isolate the spatiotemporal effects of varying PGA, all non-PGA covariates (e.g., topographic, geological, hydrological factors) were held static during susceptibility modeling. The resulting raster outputs allow temporal comparison of susceptibility patterns under different seismic loading conditions.