Publication Date:
2019-03-14
Description:
In case of a seismic event, a fast and draft damage map of the hit urban areas can be very useful, in particular when the epicentre of the earthquake is located in remote regions, or the main communication systems are damaged. Our aim is to analyse the capability of remote sensing techniques for damage detection in urban areas and to explore the combined use of radar (SAR) and optical satellite data. Two case studies have been proposed: Izmit (1999; Turkey) and Bam (2003; Iran). Both areas have been affected by strong earthquakes causing heavy and extended damage in the urban settlements close to the epicentre. Different procedures for damage assessment have been successfully tested, either to perform a pixel by pixel classification or to assess damage within homogeneous extended areas. We have compared change detection capabilities of different features extracted from optical and radar data, and analysed the potential of combining measurements at different frequency ranges. Regarding the Izmit case, SAR features alone have reached 70% of correct classification of damaged areas and 5 m panchromatic optical images have given 82%; the fusion of SAR and optical data raised up to 89% of correct pixel‐to‐pixel classification. The same procedures applied to the Bam test case achieved about 61% of correct classification from SAR alone, 70% from optical data, while data fusion reached 76%. The results of the correlation between satellite remote sensing and ground surveys data have been presented by comparing remotely change detection features averaged within homogeneous blocks of buildings with ground survey data.
Description:
Published
Description:
4433 - 4447
Description:
partially_open
Keywords:
InSAR
;
damage detection
;
Optical data
;
Urban areas
;
04. Solid Earth::04.03. Geodesy::04.03.06. Measurements and monitoring
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04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy
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04. Solid Earth::04.03. Geodesy::04.03.09. Instruments and techniques
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04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
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04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
article
Format:
807089 bytes
Format:
application/pdf
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