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. 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. Initially, RASOR will be available over five case study areas. Ultimately, the RASOR Consortium will offer global services to support in-depth risk assessment and full-cycle risk management.
RASOR uses a scenario-driven query system to allow users to simulate future scenarios based on existing and assumed conditions, to compare with historical scenarios, and to model multi-hazard risk both before and during an event. Managers can, for example, determine the extent of flooding in a given area and assess risk to Critical Infrastructure Systems in terms of the residual functionality of a given system (e.g. energy, transport, health). Public authorities can determine the potential impact of sea surge scenarios based on actual, accurate subsidence and its effect on flood defence infrastructure. RASOR allows managers to use real scenarios when determining new mitigation or prevention measures, and integrate new, real-time data into their operational systems during response activities.
RASOR Contributions will be presented in a PICO (http://egu2016.eu/pico.html) session at EGU 2016 in
On 17th May 2016 the RASOR Community of Practice will be holding its first
On the 2nd of March DPC (our Main Italian Supporting Partner) hosted the RASOR
The RASOR team concluded successfully the Validation mission to Greece. the RASOR platform was
The RASOR team just concluded a very successful validation mission in Jakarta, Indonesia. The
The RASOR platform was presented during the UNISDR Science and Technology Conference aimed to
End date: 1 June 2016
Total budget: 3.216.916€
EU funded contribution: 2.459.756€
Science & Tecnology 09/2015
WCDRR: Rapid Analysis and Spatialisation of Risk (RASOR), Lauro Rossi