Detecting earthquake damage in urban area: application to COSMO-SkyMed imagery of L’Aquila earthquake

R. Anniballe; M. Chini; N. Pierdicca; C. Bignami; S. Stramondo; F. Noto; T. Scalia; A. Martinelli; A. Mannella

doi:10.1117/12.2195723

23 October 2015 Detecting earthquake damage in urban area: application to COSMO-SkyMed imagery of L’Aquila earthquake

R. Anniballe, M. Chini, N. Pierdicca, C. Bignami, S. Stramondo, F. Noto, T. Scalia, A. Martinelli, A. Mannella

Proceedings Volume 9642, SAR Image Analysis, Modeling, and Techniques XV; 96420C (2015) https://doi.org/10.1117/12.2195723
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Due to the improved spatial resolution, Earth observation (EO) data, either from Synthetic Aperture Radar (SAR) or optical sensor, provide the opportunity to assess earthquake damage of individual buildings. However, the operational use of EO data for earthquake damage mapping is basically limited to the visual inspection of Very High Resolution (VHR) optical imagery. In this work we investigate the feasibility of a damage assessment product at single building scale from a pair of VHR SAR images acquired before and after a seismic event. We perform the change analysis using the Kullbach-Leibler divergence and the intensity ratio and then we associate detected changes to a building map provided as GIS layer. Finally the expected SAR signature of a collapsed building is considered to identify severely damaged buildings. In order to test the proposed methodology we use Spotlight COSMO-SkyMed SAR imagery of L’Aquila (Italy) collected before and after the earthquake occurred on April 6, 2009. A macroseismic survey on the whole central area of L’Aquila city based on the European Macroseismic Scale 1998 is used to assess the capability of VHR SAR images to map damage.

Citation Download Citation

R. Anniballe, M. Chini, N. Pierdicca, C. Bignami, S. Stramondo, F. Noto, T. Scalia, A. Martinelli, and A. Mannella "Detecting earthquake damage in urban area: application to COSMO-SkyMed imagery of L’Aquila earthquake", Proc. SPIE 9642, SAR Image Analysis, Modeling, and Techniques XV, 96420C (23 October 2015); https://doi.org/10.1117/12.2195723

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