The Rapid Analysis and Spatialisation Of Risk (RASOR) project will develop a platform to perform multi-hazard risk analysis to support the full cycle of disaster management, including targeted support to critical infrastructure monitoring and climate change impact assessment, exploiting internally produced and available services. RASOR adapts the newly developed 12m resolution TanDEM-X Digital Elevation Model (DEM) to risk management applications, using it as a base layer to interrogate data sets and develop specific disaster scenarios. RASOR overlays archived and near-real time very-high resolution optical and radar satellite data, combined with in-situ data for both global and local applications. A scenario-driven query system allows users to project situations into the future and model multi-hazard risk both before and during an event. Managers can determine the extent of flooding in a given area and determine, for example, the risk pending on Critical Infrastructure Systems in terms of their residual functionality as a basis for a systemic vulnerability analysis. Public authorities can determine the impact of coastal subsidence on flood defence over several years given various sea surge scenarios and based on actual, accurate subsidence information. RASOR allows managers to use real scenarios when determining new mitigation or prevention measures, and integrate new, real-time data into their operational system when organising response activities.
Field of science
- /social sciences/sociology/governance/public services
- /engineering and technology/electrical engineering, electronic engineering, information engineering/information engineering/telecommunications/radio technology/radar
Call for proposal
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Funding SchemeCP-FP - Small or medium-scale focused research project