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Proceedings Paper

Multi-hazard risk analysis using the FP7 RASOR Platform
Author(s): Fifamè N. Koudogbo; Javier Duro; Lauro Rossi; Roberto Rudari; Andrew Eddy
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Paper Abstract

Climate change challenges our understanding of risk by modifying hazards and their interactions. Sudden increases in population and rapid urbanization are changing exposure to risk around the globe, making impacts harder to predict. Despite the availability of operational mapping products, there is no single tool to integrate diverse data and products across hazards, update exposure data quickly and make scenario-based predictions to support both short and long-term risk-related decisions. RASOR (Rapid Analysis and Spatialization Of Risk) will develop a platform to perform multi-hazard risk analysis for the full cycle of disaster management, including targeted support to critical infrastructure monitoring and climate change impact assessment. A scenario-driven query system simulates future scenarios based on existing or assumed conditions and compares them with historical scenarios. RASOR will thus offer a single work environment that generates new risk information across hazards, across data types (satellite EO, in-situ), across user communities (global, local, climate, civil protection, insurance, etc.) and across the world. Five case study areas are considered within the project, located in Haiti, Indonesia, Netherlands, Italy and Greece. Initially available over those demonstration areas, RASOR will ultimately offer global services to support in-depth risk assessment and full-cycle risk management.

Paper Details

Date Published: 21 October 2014
PDF: 15 pages
Proc. SPIE 9239, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI, 92390J (21 October 2014); doi: 10.1117/12.2067444
Show Author Affiliations
Fifamè N. Koudogbo, Altamira Information (Spain)
Javier Duro, Altamira Information (Spain)
Lauro Rossi, CIMA Research Foundation (Italy)
Roberto Rudari, CIMA Research Foundation (Italy)
Andrew Eddy, Athena Global (France)

Published in SPIE Proceedings Vol. 9239:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI
Christopher M. U. Neale; Antonino Maltese, Editor(s)

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