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Integration of high-resolution, Active and Passive Remote Sensing in support to Tsunami Preparedness and Contingency Planning

Ferrucci, Fabrizio (2010). Integration of high-resolution, Active and Passive Remote Sensing in support to Tsunami Preparedness and Contingency Planning. In: Imperato, Pasquale and Riccio, Daniele eds. Geoscience and Remote Sensing, New Achievements. Rijeka, Croatia: INTECH, pp. 357–378.

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In the aftermath of the Sri Lanka tsunami disaster, a stack of synoptic procedures and remote sensing techniques was chosen for satisfying the urgent mapping needs of the Government. This choice presented the undebated advantage of (a) allowing to start the work immediately (b) without relying upon ground logistics until the onset of the air campaign, (c) minimizing the duration of the work on spot, while (d) covering fast - and at an otherwise unreacheable resolution - large portions of a difficult-to-penetrate territory, (e) keeping the work sustainable and, overall, (f) allowing to carry out the work. This combination of airborne and spaceborne techniques is ready-to-use worldwide, and the techniques for flooding simulation and scenario building can be chosen at whatever level of complexity - choosing preferably robustness. It is also worth noting further that the new generation of metric resolution, X-band Radar satellite constellations (as TerraSAR-X and Cosmo-SkyMED), may allow creating LiDAR-like products avoiding airborne missions. The products of the space-and-air campaign were handed over by the Ambassador of Italy to the Minister for Disaster Management and Humanitarian Affairs on 7th December 2006, Colombo, Sri Lanka.

Item Type: Book Section
Copyright Holders: 2010 The Author
ISBN: 953-7619-97-4, 978-953-7619-97-8
Project Funding Details:
Funded Project NameProject IDFunding Body
HYPERDEMNot SetThe Italian Foreign Office and the Government of Sri Lanka
Keywords: Remote Sensing; Tsunami; Contingency planning
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Environment, Earth and Ecosystem Sciences
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 46007
Depositing User: Fabrizio Ferrucci
Date Deposited: 12 Apr 2016 10:25
Last Modified: 10 Dec 2018 21:56
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