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Remote Sens. 2017, 9(4), 330; doi:10.3390/rs9040330

Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy

1
Department of Architecture and Building Engineering, Tokyo Institute of Technology, Yokohama 226-8502, Japan
2
Department of GIS and Remote Sensing, University of Tabriz, Tabriz 5166616471, Iran
*
Author to whom correspondence should be addressed.
Academic Editors: Zhong Lu and Prasad S. Thenkabail
Received: 15 February 2017 / Revised: 26 March 2017 / Accepted: 27 March 2017 / Published: 30 March 2017
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Abstract

On 24 August 2016, the M 6.2 Amatrice earthquake struck central Italy, well-known as a seismically active region, causing considerable damage to buildings in the town of Amatrice and the surrounding area. Damage from this earthquake was assessed quantitatively by means of multitemporal synthetic aperture radar (SAR) coherence and SAR intensity methods using dual-polarized SAR data obtained from the Sentinel-1 (VV, VH) and ALOS-2 (HH, HV) satellites. We developed linear discriminant functions based on three items: (1) the differential coherence values; (2) the differential backscattering intensity values of pre- and post-event images; and (3) a binary damage map of the optical pre- and post-event imagery. The accuracy of the proposed model was 84% for the Sentinel-1 data and 76% for the ALOS-2 data. The damage proxy maps deduced from the linear discriminant functions can be useful in the parcel-by-parcel assessment of building damage and development of spatial models for the allocation of urban search and rescue operations. View Full-Text
Keywords: Amatrice earthquake; synthetic aperture radar; dual-polarization; building damage; multitemporal analysis Amatrice earthquake; synthetic aperture radar; dual-polarization; building damage; multitemporal analysis
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MDPI and ACS Style

Karimzadeh, S.; Mastuoka, M. Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy. Remote Sens. 2017, 9, 330.

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