Landslide risk · Executive summary

Landslide Intelligence — The Evidence Edition

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

Landslide Intelligence — The Evidence Edition report cover

Asset Mapping Evidence Standard

  • AI-assisted research
  • Sources verified
  • Claims checked
  • Evidence critically assessed
  • Conclusions evidence-rated

Executive summary

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.

Contents

  1. 01Why Local Government Should Care
  2. 02The Technology Shift: From Static Susceptibility to Dynamic Spatial Intelli…
  3. 03From Hazard to Consequence: A Better Map Is Useful, a Better Decision Is Mo…
  4. 04What Each Department Asks
  5. 05The Geospatial-AI Maturity Model: You Do Not Need to Start With AI
  6. 06AI, Trust and Governance: Predictive Does Not Automatically Mean Trustworthy
  7. 07A Practical Action Plan: Five Things to Do Now
  8. 08Questions for Local-Government Leaders
  9. 09What This Means for a U.S. City or County
  10. 10Conclusion: From Mapping Risk to Managing Risk
  11. 11Annotated Bibliography