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.


7 06, 2016


  • June 7th, 2016

RASOR Project presented at the 10th Copernicus User Forum in Brussels. The RASOR platform

29 03, 2016

RASOR Session @EGU2016

  • March 29th, 2016

RASOR Contributions will be presented in a PICO ( session at EGU 2016 in


Starting date: 1 December 2013
End date: 1 June 2016
Total budget: 3.216.916€
EU funded contribution: 2.459.756€






Science & Tecnology 06/2016

WCDRR: Rapid Analysis and Spatialisation of Risk (RASOR), Lauro Rossi