Abstract

The availability of remotely sensed data sources makes it possible to generate large-scale studies efficiently, accurately, and geographically scalable. Considering the remote sensing benefits and scope, we propose a methodology that integrates critical variables for a landslide susceptibility map preparation with an accurate hazard assessment in large areas. As a result, different areas prone to landslides are identified with precision in an efficient, safe, and accessible way through susceptibility map preparation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.