Acquisition, modelling and interpretation of environmental data
Climate change and over-exploitation of resources are possible causes of a growing number of natural disasters worldwide. Such incidents are already a serious safety problem today and, not least, an economic risk: floods, landslides and windstorms claim numerous human lives and cause major economic losses. The higher and more accurate the prediction quality for such natural events, the more targeted countermeasures can be initiated or precautions taken. Such active »resilience engineering« can prevent damage or at least reduce the damage balance.