Flood risk assessment in mountainous regions presents significant challenges due to complex topography, variable hydrological responses, and the increasing impact of climate change. This study focuses on the Rio Cucco catchment, located in the northeastern Italian Alps, a region prone to extreme rainfall events and catastrophic floods. The research aims to enhance flood hazard mapping by integrating high-resolution geospatial data, including Digital Elevation Models (DEMs), land cover classifications, and hydrometeorological records, using geomatic tools such as GIS, remote sensing, and Google Earth Engine (GEE). A comparative analysis of DEM 2018 (1m resolution) and DEM 2024 (50cm resolution) was conducted to evaluate the influence of terrain representation on hydrological modeling.