Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities
Satellite-based Emergency Mapping (SEM) mechanisms provide information for emergency response in relation to different types of disasters, including tsunamis, based on the analysis of satellite imagery acquired in the aftermath of an event. One of the main critical aspects of a SEM service is the ti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Geosciences |
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| Online Access: | https://www.mdpi.com/2076-3263/9/7/314 |
| _version_ | 1818541814996533248 |
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| author | Andrea Ajmar Alessandro Annunziato Piero Boccardo Fabio Giulio Tonolo Annett Wania |
| author_facet | Andrea Ajmar Alessandro Annunziato Piero Boccardo Fabio Giulio Tonolo Annett Wania |
| author_sort | Andrea Ajmar |
| collection | DOAJ |
| description | Satellite-based Emergency Mapping (SEM) mechanisms provide information for emergency response in relation to different types of disasters, including tsunamis, based on the analysis of satellite imagery acquired in the aftermath of an event. One of the main critical aspects of a SEM service is the timeliness in providing relevant information in the hours following the event. The availability of a relevant post-event image is crucial; therefore, satellite sensors need to be programmed as soon as possible. The integration of a tsunami alerting system, like the one offered by the Global Disaster Alert and Coordination System (GDACS), can be highly beneficial in a SEM mechanism for streamlining and accelerating the satellite programming task and for generating first damage estimates. The GDACS tsunami model is validated using tidal gauge data and a post-event field survey. Tsunami model outputs are then exploited to automatically identify areas of interest to be used for immediate satellite acquisition triggering. Three alternative operational integration approaches are proposed, described and discussed, taking as use case the tsunami that struck the central Chilean coast after the 8.3 magnitude earthquake on 16 September 2015. |
| first_indexed | 2024-12-11T22:14:06Z |
| format | Article |
| id | doaj.art-e6292b282608436b879ec51cd3b94bf2 |
| institution | Directory Open Access Journal |
| issn | 2076-3263 |
| language | English |
| last_indexed | 2024-12-11T22:14:06Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geosciences |
| spelling | doaj.art-e6292b282608436b879ec51cd3b94bf22022-12-22T00:48:40ZengMDPI AGGeosciences2076-32632019-07-019731410.3390/geosciences9070314geosciences9070314Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration OpportunitiesAndrea Ajmar0Alessandro Annunziato1Piero Boccardo2Fabio Giulio Tonolo3Annett Wania4ITHACA - Information Technology for Humanitarian Assistance, Cooperation and Action, 10138 Torino, ItalyEuropean Commission, Joint Research Centre (JRC), 21027 Ispra, ItalyInteruniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino, 10125 Torino, ItalyDepartment of Architecture and Design, Politecnico di Torino, 10125 Torino, ItalyEuropean Commission, Joint Research Centre (JRC), 21027 Ispra, ItalySatellite-based Emergency Mapping (SEM) mechanisms provide information for emergency response in relation to different types of disasters, including tsunamis, based on the analysis of satellite imagery acquired in the aftermath of an event. One of the main critical aspects of a SEM service is the timeliness in providing relevant information in the hours following the event. The availability of a relevant post-event image is crucial; therefore, satellite sensors need to be programmed as soon as possible. The integration of a tsunami alerting system, like the one offered by the Global Disaster Alert and Coordination System (GDACS), can be highly beneficial in a SEM mechanism for streamlining and accelerating the satellite programming task and for generating first damage estimates. The GDACS tsunami model is validated using tidal gauge data and a post-event field survey. Tsunami model outputs are then exploited to automatically identify areas of interest to be used for immediate satellite acquisition triggering. Three alternative operational integration approaches are proposed, described and discussed, taking as use case the tsunami that struck the central Chilean coast after the 8.3 magnitude earthquake on 16 September 2015.https://www.mdpi.com/2076-3263/9/7/314tsunami modelingsatellite-based emergency mapping (SEM), priority areasearly warningCopernicus |
| spellingShingle | Andrea Ajmar Alessandro Annunziato Piero Boccardo Fabio Giulio Tonolo Annett Wania Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities Geosciences tsunami modeling satellite-based emergency mapping (SEM), priority areas early warning Copernicus |
| title | Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities |
| title_full | Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities |
| title_fullStr | Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities |
| title_full_unstemmed | Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities |
| title_short | Tsunami Modeling and Satellite-Based Emergency Mapping: Workflow Integration Opportunities |
| title_sort | tsunami modeling and satellite based emergency mapping workflow integration opportunities |
| topic | tsunami modeling satellite-based emergency mapping (SEM), priority areas early warning Copernicus |
| url | https://www.mdpi.com/2076-3263/9/7/314 |
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