Landslide risk · Executive summary
How GIS, earth observation and AI are helping local governments move from mapping landslide susceptibility to managing infrastructure risk

Asset Mapping Evidence Standard
For decades, landslide susceptibility mapping answered one question: where is terrain most likely to fail? That question still matters.
A bibliometric review of 2,002 peer-reviewed articles published between 2015 and 2025, supported by 12 additional studies, documents a clear evolution from conventional GIS-based susceptibility mapping toward an integrated environment combining GIS, remote sensing, machine learning and Earth observation. This edition traces what that shift means for local governments managing real infrastructure risk — and separates measured outcomes from forecasts and vendor case studies.