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WP4: Integrated products for supporting seismic crises

WP4: Integrated products for supporting seismic crises. Develop an integrated approach for generating maps of a damage likelihood parameter both at the scale of few building blocks or of individual buildings, depending on the available EO data. EO damage assessment at district level.

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WP4: Integrated products for supporting seismic crises

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  1. WP4: Integrated products for supporting seismic crises Develop an integrated approach for generating maps of a damage likelihood parameter both at the scale of few building blocks or of individual buildings, depending on the available EO data

  2. EO damage assessment at district level • Medium resolution images (MR) optical and/or SAR enable estimating damage level at district level (regions of homogeneous settlements) according to past experience: • Using one pre-seismic and one post-seismic optical (panchromatic) image, the change image (difference) within a ROI is correlated to collapse ratio from ground survey • Using three SAR images (interferometric set) decrease of intensity correlation and complex coherence within a ROI is correlated to collapse ratio • Coherence is very sensitive to baseline so correlation performs better in many cases Izmitearthquake: groundsurvey Correlationbetweenopticalchange and SAR intensitycorrelationchanges and surveyedcollapse ratio Stramondo et al., IJRS 2005

  3. EO damage assessment at building level • Very high resolution images (VHR) optical and/or SAR enable detecting damage of single buildings, according to past experience: • Pre-seismic image used to map urban area (segmentation by morphological operators) • Post-seismic image, optical and/or SAR, to detect changed segments Changes in SAR intensitycorrelationiscorrelated with measureddamagelevel, especiallyifselectingurbanpixelsonly Chini et al., TGARS 2009

  4. Seismic damage mapping using interferometry • SAR coherence is a powerful change detection tool Example by:

  5. Data integration for a “Likelhood Index Damage Map” • As in many remote sensing applications, integrating many pieces of knowledge may improve final EO product. They are: • Multisource EO data (optical, radar) • Soil vulnerability (antecedent displacement rate) • Building vulnerability, vulnerability class, Damage Probability Matrix (DPM) • Shakemaps • Fuzzy logic is a powerful approach to integrate data from different sources

  6. Soil vulnerability: rationale • Permanent Scatterer Interferometry (PSI) used to estimate deformation rate (mm/year-scale) • Subsidence is an indicator for “thick loose material” subject to compaction • It results in an increased liquifaction probability -5 mm/year +5 Mean displacement rate 2002-2010 (ENVISAT)

  7. WP 4 organization

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