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  • 1
    Publication Date: 2017-04-04
    Description: The assessment of damage caused by earthquakes is of primary importance for emergency planning and human rescue, especially in remote areas where infrastructures are weak and communication systems easily break down after natural disasters. In the last decade, the remote sensing instruments, either spaceborne or airborne sensors (i.e., aerial digital cameras), have demonstrated their capabilities to provide valuable tools for damage mapping purposes, especially thanks to the availability of very high-resolution (VHR) images, characterized by pixel size around 1 m or less which are able to capture highly detailed information of the Earth surface. A wide variety of methodologies can be used to exploit VHR data for building damage assessment, based on visual interpretation approaches, if dealing with optical imagery, and on completely or semiautomated methods as well, especially when Synthetic Aperture Radar is also considered. The following section focuses on some relevant case studies where VHR images were adopted to map damage caused by destructive earthquakes. The dataset, the adopted methods, and the related achievements are presented for each seismic event.
    Description: Published
    Description: 1-10
    Description: 2T. Tettonica attiva
    Description: 4T. Fisica dei terremoti e scenari cosismici
    Description: restricted
    Keywords: remote sensing ; damage mapping ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2017-04-04
    Description: The present work reports the analysis of a possible relationship due to stress transfer between the two earthquakes that hit the province of Van, Eastern Turkey, on October 23, 2011 (Mw 5 7.2) and on November 9, 2011 (Mw55.6). The surface displacement field of the mainshock has been obtained through a combined data set made up of differential interferograms from COSMO-SkyMed and ENVISAT satellites,integrated with continuous GPS recordings from the Turkish TUSAGA-AKTIF network. This allowed us to retrieve the geometry and the slip distribution of the seismic source and to compute the Coulomb Failure Function (CFF) variation on the aftershock plane, in order to assess a possible causal relationship between the two events. Our results show that the November 9 earthquake could have been triggered by the October 23 shock, with transferred stress values largely exceeding 1 bar.
    Description: Published
    Description: 3959
    Description: 2T. Tettonica attiva
    Description: 4T. Fisica dei terremoti e scenari cosismici
    Description: 5IT. Osservazioni satellitari
    Description: JCR Journal
    Description: restricted
    Keywords: TECTONICS ; SEISMIC SOURCE ; GEOLOGY ; SEISMOLOGY ; GEODYNAMICS ; InSAR ; GPS ; 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy ; 04. Solid Earth::04.06. Seismology::04.06.03. Earthquake source and dynamics ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
    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 ; 04. Solid Earth::04.03. Geodesy::04.03.07. Satellite geodesy ; 04. Solid Earth::04.03. Geodesy::04.03.09. Instruments and techniques ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring ; 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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