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  5. Earthquake rapid mapping by satellite remote sensing data: L’Aquila April 6th, 2009 event
 
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Earthquake rapid mapping by satellite remote sensing data: L’Aquila April 6th, 2009 event

Author(s)
Dell'Acqua, F.  
University of Pavia  
Bignami, C.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Chini, M.  
Lisini, G.  
University of Pavia  
Polli, D.  
University of Pavia  
Stramondo, S.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia  
Language
English
Obiettivo Specifico
1.10. TTC - Telerilevamento
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Issue/vol(year)
4/4 (2011)
Pages (printed)
935-943
Date Issued
September 2011
DOI
10.1109/JSTARS.2011.2162721
URI
https://www.earth-prints.org/handle/2122/7431
Subjects
04. Solid Earth::04.06. Seismology::04.06.04. Ground motion  
Subjects

L'Aquila earthquake

damage mapping

VHR SAR

VHR optical

data fusion

Abstract
Destructive earthquakes challenge Earth Observation
(EO) systems to demonstrate their usefulness in supporting
intervention and relief actions. The use of EO data in a disaster
context has been widely investigated from a theoretical point
of view, but only recently the developed methods seem to have
reached near to the operational use. In this paper a case study on
the April 6th, 2009 earthquake (M=6.3) event, which stroke
L’Aquila, Italy, is presented and commented. Although damage to
the city was not extremely extensive, the case is interesting because
it was handled by the authors in a real-time, emergency context.
A new data fusion approach, between SAR and optical data, has
been proposed. It shows that optical data are more suitable to
distinguish between damage and non-damage classes, while SAR
textures features allow to better distinguishing different classes of
damages at block scale such as low and heavy damage.
Type
article
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2011_JSTARS_DellAcqua.pdf

Size

1.87 MB

Format

Adobe PDF

Checksum (MD5)

83206b1ba31c0934cbcc7e50b17b11f0

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