Landslide Databases as Tools for Integrated Assessment of Landslide Risk

Landslide risk is a pressing societal issue that is still poorly understood. A major challenge of risk assessment originates from the difficulty of quantifying risk considering the wide range of landslide types and processes and the various cost factors independent of size or magnitude. Recent studies stress the importance of integrated approaches that use damage statistics and data on societal risk acceptance to explore landslide risk in all its facets.

 A key to these new approaches are landslide databases that store geospatial and impact-related information on pastand current landslides. The availability of Geographic Information Systems (GIS) in recent years has made landslide databases an important tool for spatial inventory and hazard mapping. The full scientific potentials of databases in risk assessment, however, go far beyond the scope of GIS applications, but are still widely underestimated. 

This relates to a lack of approaches capable of searching database contents for damage or cost information and to derive risk by the systematic fusion of complex data sets from multiple sources. The development of innovative tools for knowledge discovery in landslide databases is critical for assessing landslide risk in integrated perspective.

This doctoral thesis written by Martin Klose is a pioneering research work that makes an excellent contribution to fundamental understanding of landslide risk.The study introduces an analytical framework for integrated risk assessment and new approaches to data integration, modeling, and visualization tailored for use

with data sets extracted from landslide databases.

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