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The doctoral thesis introduces an innovative method for assessing landslide risk, emphasizing an integrated perspective that utilizes landslide databases and Geographic Information Systems (GIS). Central to this approach is a landslide susceptibility model that identifies at-risk areas and evaluates infrastructure exposure. By combining temporal hazard analysis with hydrological simulations, the research provides a comprehensive toolset for cost modeling, allowing for the quantification of economic impacts from landslide losses across various spatial scales and timeframes.
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Landslide Databases as Tools for Integrated Assessment of Landslide Risk, Martin Klose
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- 2016
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