Landslides and related hazards

Landslides kill thousands of people each year and destroy infrastructure across mountainous, seismically active, and flood-prone regions, making it essential to understand where and when they are likely to occur. Researchers combine satellite imagery, GIS-based modeling, and field data to build susceptibility maps that estimate which slopes are most vulnerable to failure under triggers like heavy rainfall or earthquakes. Translating those spatial predictions into effective early-warning systems and land-use policy remains a central challenge, particularly in data-scarce regions where historical records are sparse. Active work is focused on improving the physical realism of predictive models, integrating real-time monitoring networks, and developing governance frameworks that can turn scientific risk assessments into enforceable planning decisions.

Works

152,023

Total citations

1,811,822

Keywords

LandslideHazardSusceptibility MappingRainfall TriggeringGIS-based ModelingRisk Assessment