Landslide hazard mapping by AI

Landslide susceptibility is continuously changing due to variations in a large number of contributory factors, so continuous monitoring is important but processing large volumes of data is a major challenge.

We are training algorithms to assess landslide susceptibility from satellite-borne and other data using AI informed by good geotechnical know-how.

Highlights

• InSAR SBAS analysis to capture slow moving landslides in urban and rural areas.

• Using optical satellite data to exclude non-contributory human activity.

• Apply geotechnical expertise and analysis.

• Apply Artificial Intelligence.

• Develop hazard mapping.