DocumentCode :
513125
Title :
Experiences in optical and SAR imagery analysis for damage assessment in the Wuhan, may 2008 earthquake
Author :
Dell´Acqua, F. ; Lisini, G. ; Gamba, P.
Author_Institution :
Dept. of Electron., Univ. of Pavia, Pavia, Italy
Volume :
4
fYear :
2009
fDate :
12-17 July 2009
Abstract :
The Sichuan Earthquake on the 12th of May 2008, and the extensive rescue operations following this tragic event, proved the value of high-resolution optical and radar remote sensing during the emergency response. Optical data provide a fast and simple way to value ¿at glance¿ damages while radar sensors can deliver images independent of weather conditions, day and night, and thus in principle can represent a mean to obtain a damage map in the immediate aftermath of an event, providing precious information for intervention planning. On the other hand, SAR data is far more difficult to interpret than optical data both to the expert and non-expert. In this paper we present a case study of damage assessment on the Sichuan earthquake experimenting the use of very high resolution data from both worlds, discussing preliminary results and perspectives.
Keywords :
disasters; earthquakes; emergency services; geophysical image processing; remote sensing; synthetic aperture radar; AD 2008 05 12; SAR imagery analysis; Sichuan earthquake; Wuhan; damage assessment; emergency response; extensive rescue operations; intervention planning; optical imagery analysis; radar sensors; Buildings; Earthquakes; Electromagnetic reflection; Image analysis; Laser radar; Optical reflection; Optical sensors; Radar remote sensing; Satellites; Shape; Disaster management; earthquake damage assessment; optical data; radar data; very high resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
Type :
conf
DOI :
10.1109/IGARSS.2009.5417603
Filename :
5417603
Link To Document :
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