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Remote Sens. 2011, 3(6), 1234-1250; doi:10.3390/rs3061234
Article
Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing
1
Institute for the Protection and Security of the Citizen, Joint Research Centre of the European Commission, via Enrico Fermi 2749, I-21027 Ispra, Italy
2
Institute for Environment and Sustainability, Joint Research Centre of the European Commission, via Enrico Fermi 2749, I-21027 Ispra, Italy
3
Telespazio S.p.A., via Tiburtina 965, I-00156 Rome, Italy
* Author to whom correspondence should be addressed.
Received: 11 April 2011; in revised form: 2 May 2011 / Accepted: 3 June 2011 / Published: 14 June 2011
The original version is still available [325 KB, uploaded 14 June 2011 16:49 CEST]
Abstract: The goal of the two year Ground European Network for Earth Science Interoperations-Digital Repositories (GENESI-DR) project was to build an open and seamless access service to Earth science digital repositories for European and world-wide science users. In order to showcase GENESI-DR, one of the developed technology demonstrators focused on fast search, discovery, and access to remotely sensed imagery in the context of post-disaster building damage assessment. This paper describes the scenario and implementation details of the technology demonstrator, which was developed to support post-disaster damage assessment analyst activities. Once a disaster alert has been issued, response time is critical to providing relevant damage information to analysts and/or stakeholders. The presented technology demonstrator validates the GENESI-DR project data search, discovery and security infrastructure and integrates the rapid urban area mapping and the near real-time orthorectification web processing services to support a post-disaster damage needs assessment analysis scenario. It also demonstrates how the GENESI-DR SOA can be linked to web processing services that access grid computing resources for fast image processing and use secure communication to ensure confidentiality of information.
Keywords: post-disaster; building damage assessment; web processing service; security; image processing
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MDPI and ACS Style
Bielski, C.; Gentilini, S.; Pappalardo, M. Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing. Remote Sens. 2011, 3, 1234-1250.
AMA StyleBielski C, Gentilini S, Pappalardo M. Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing. Remote Sensing. 2011; 3(6):1234-1250.
Chicago/Turabian StyleBielski, Conrad; Gentilini, Simone; Pappalardo, Marco. 2011. "Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing." Remote Sens. 3, no. 6: 1234-1250.
Remote Sens.
EISSN 2072-4292
Published by MDPI AG, Basel, Switzerland
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