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Roberto Fabrizi
Key Account Manager
Deimos Imaging
Spain
Biography
Mr. Fabrizi is Key Account Manager of Deimos Imaging, a Spanish company part of the Canadian UrtheCast group, operating and marketing the Deimos-1 and Deimos-2 EO satellites. He received the Master's Degree in Electronic Engineering with remote sensing background from the University of Perugia. Mr. Fabrizi has more than 6 years of experience in Earth Observation applications in support of natural disaster management and human health risks. Abstract
DEIMOS-2 very-high resolution monitoring of 2015 Ebro River floodsExtreme flooding events affect the ecosystems and involve large socio-economic consequences. Remotely sensed imagery is a powerful source of information to support crisis management. It is available where and when there are no ground-based measurements, and it provides large-scale views needed for early warning systems and for relief operations. This presentation shows the use of Deimos Imaging's DEIMOS-2 very-high-resolution satellite imagery during the severe flood events affecting the Ebro River (Spain) in 2015. Moreover, the main features of the DEIMOS-2 system are described, highlighting its 24/7 Rush service that supports crisis management worldwide, and that is now available to users all across Europe in the frame of the Copernicus Emergency Service.
During February-March 2015, the levels of the Ebro River raised significantly, causing in numerous occasions the break-up of the banks. Thousands of hectares were inundated causing unprecedented destruction. Satellite imagery acquired by DEIMOS-2 was crucial to estimate the effects of the flood, allowing the Ebro Hydrographic Confederation (Confederaci?n Hidrogr?fica del Ebro) to create vector coverages of the water body throughout the whole Aragon region. Deimos Imaging 24/7 rush services, including near real time download and delivery of DEIMOS-2 imagery, supported the fast damage assessment of the flooding. In addition, a full coverage of the area of interest was acquired during the flood event by using the high temporal resolution of the system.
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