Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing
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 dev...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2011-06-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2072-4292/3/6/1234/ |
| _version_ | 1798025967223963648 |
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| author | Marco Pappalardo Conrad Bielski Simone Gentilini |
| author_facet | Marco Pappalardo Conrad Bielski Simone Gentilini |
| author_sort | Marco Pappalardo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T18:27:24Z |
| format | Article |
| id | doaj.art-3fd690787eff4a018de2c3de6adabbd2 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-04-11T18:27:24Z |
| publishDate | 2011-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3fd690787eff4a018de2c3de6adabbd22022-12-22T04:09:34ZengMDPI AGRemote Sensing2072-42922011-06-01361234125010.3390/rs3061234Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid ComputingMarco PappalardoConrad BielskiSimone GentiliniThe 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.http://www.mdpi.com/2072-4292/3/6/1234/post-disasterbuilding damage assessmentweb processing servicesecurityimage processing |
| spellingShingle | Marco Pappalardo Conrad Bielski Simone Gentilini Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing Remote Sensing post-disaster building damage assessment web processing service security image processing |
| title | Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing |
| title_full | Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing |
| title_fullStr | Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing |
| title_full_unstemmed | Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing |
| title_short | Post-Disaster Image Processing for Damage Analysis Using GENESI-DR, WPS and Grid Computing |
| title_sort | post disaster image processing for damage analysis using genesi dr wps and grid computing |
| topic | post-disaster building damage assessment web processing service security image processing |
| url | http://www.mdpi.com/2072-4292/3/6/1234/ |
| work_keys_str_mv | AT marcopappalardo postdisasterimageprocessingfordamageanalysisusinggenesidrwpsandgridcomputing AT conradbielski postdisasterimageprocessingfordamageanalysisusinggenesidrwpsandgridcomputing AT simonegentilini postdisasterimageprocessingfordamageanalysisusinggenesidrwpsandgridcomputing |