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  • 1
    Publication Date: 2012-02-03
    Description: Remote sensing techniques have revealed a suitable monitoring tool to provide data useful for disaster studies. They allow the quick detection of damage and building collapses due to earthquakes, especially in remote areas or where the infrastructures are not well developed to ensure the necessary communication exchanges. In particular, Synthetic Aperture Radar (SAR) sensor is widely used in environmental studies due to its characteristics which allow a fairly synoptic view in almost completely weather and time independent conditions. The spatial resolution of satellite optical sensors is rapidly increasing in the last few years, reaching less than 1 meter (IKONOS and QuickBird satellites) and thus becoming a reliable tool for detecting changes of individual buildings. The combined use of optical satellite images, either at medium and high spatial resolution, and SAR data has been investigated. The results concerning the case studies of Bam and Izmit earthquakes are reported in this paper. Moreover, a comparison between the damage assessment obtained by satellite image analysis and ground survey is also shown.
    Description: IEEE
    Description: Published
    Description: Paris
    Description: 1.10. TTC - Telerilevamento
    Description: open
    Keywords: SAR ; damage detection ; 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Conference paper
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2017-04-04
    Description: In the last years the remote sensing techniques have been demonstrated a suitable monitoring tool for providing data useful for disaster mitigation. In particular, in case of strong earthquake, the rapid detection of damaged buildings and infrastructures has assumed an important role for the civil protection rescue activities. Moreover, the damage assessment can help the redevelopment process of the hit area. The Synthetic Aperture Radar (SAR) is widely used in environmental studies thanks to its peculiarities which allow a fairly synoptic view in almost completely weather and time independent conditions. SAR has been revealed a powerful instrument for change detection and damage evaluation purpose. In particular, interferometric features like the InSAR phase coherence and the intensity correlation of multi-look images collected before and after an earthquake have been used in previous works to detect and quantify changes in built-up area. On the other side, optical sensors have also been successfully used for damage estimation. Thanks to the strong increase of their spatial resolution, reaching to less than 1 meter per pixel, the new optical sensors have become reliable systems for detecting changes of single buildings. However, the presence of clouds, shadows, variation in Sun illumination and geometric distortions are critical for this type of sensors and prevent a fully automatic change detection approach. When both optical and SAR are available, a damage classification can also be obtained by combining the two data types, leading to a more reliable result. This work proposes an effective procedure oriented to the damage mapping. From data requirements (satellite images and auxiliary data) to product delivery the chain for damage mapping is described. This latter in order to provide new instruments useful to Civil Protection Departments and Administrations for disaster management.
    Description: Unpublished
    Description: ESA-Esrin, Frascati, Rome - Italy
    Description: 1.10. TTC - Telerilevamento
    Description: open
    Keywords: SAR ; damage detection ; 04. Solid Earth::04.06. Seismology::04.06.11. Seismic risk
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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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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