Rapid Damage Mapping for the 2015<i>M</i><sub>w</sub> 7.8 Gorkha Earthquake Using Synthetic Aperture Radar Data from COSMO–SkyMed and ALOS-2 Satellites

Yun, Sang‐Ho; Hudnut, K. W.; Owen, S. E.; Webb, F.; Simons, M.; Sacco, Patrizia; Gurrola, E. M.; Manipon, G.; Liang, Cunren; Fielding, E. J.; Milillo, Pietro; Hua, Hook; Coletta, Alessandro

doi:10.1785/0220150152

Cited by 120 publications

(138 citation statements)

References 11 publications

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“…Its treatment using the spatial coherence distribution was proposed, for example in [2,37,38]. However, according to the experimental results, the CD obtained from pre-and post-earthquake PALSAR-2 data denotes a statistically significant difference for damaged buildings.…”

Section: Ambiguity Of Coherence Thresholdmentioning

confidence: 99%

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

et al. 2018

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Abstract:In this paper, evaluation results are presented for multi-temporal interferometric coherence analysis using a Synthetic Aperture Radar (SAR) for damage assessment in an urban area. The latest space-borne SARs potentially have a high enough spatial resolution to assess individual buildings. However, interferometric coherence analysis has not been evaluated for its limitation in sensitivity and size of damaged buildings. In particular, the correlation between the coherence analysis and the damage level referred to by architectural assessments has been an open question. In this paper, analytical results using ALOS-2 PALSAR-2 datasets are presented from the 2016 Kumamoto earthquakes in Japan. For reference, building damage was assessed throughout the central urban area and specifically at a catastrophically damaged district. The results show that the buildings should be larger than a window size of the coherence for damage detection, and the damage level should be larger than Level-2 of 5, classified with the European Macroseismic Scale 1998 (EMS-98).

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Section: Ambiguity Of Coherence Thresholdmentioning

confidence: 99%

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

et al. 2018

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“…By using a geographical information system (GIS)-oriented method, z raster maps were created for Equations (11) and (12). The method permits the calculation of the DPMs for the region on the basis of the existing raster pixel values of d and |c r |.…”

Section: Discriminant Analysis and Damage Proxy Mapsmentioning

confidence: 99%

Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy

Karimzadeh

Mastuoka

2017

Remote Sensing

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Abstract:On 24 August 2016, the M 6.2 Amatrice earthquake struck central Italy, well-known as a seismically active region, causing considerable damage to buildings in the town of Amatrice and the surrounding area. Damage from this earthquake was assessed quantitatively by means of multitemporal synthetic aperture radar (SAR) coherence and SAR intensity methods using dual-polarized SAR data obtained from the Sentinel-1 (VV, VH) and ALOS-2 (HH, HV) satellites. We developed linear discriminant functions based on three items: (1) the differential coherence values; (2) the differential backscattering intensity values of pre-and post-event images; and (3) a binary damage map of the optical pre-and post-event imagery. The accuracy of the proposed model was 84% for the Sentinel-1 data and 76% for the ALOS-2 data. The damage proxy maps deduced from the linear discriminant functions can be useful in the parcel-by-parcel assessment of building damage and development of spatial models for the allocation of urban search and rescue operations.

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“…Since then several improvements have been made on both the algorithms and the quality of the data. In particular, the availability of high resolution and short repeat time satellite constellations lead to more effective near real-time disaster monitoring, assessment response and greater ability to constrain dynamically changing physical processes [3,4]. Although many studies have been carried out using InSAR in the field of structural monitoring looking at urban areas [5][6][7], bridges [8,9], railways [10,11], tunneling [12][13][14][15], and dams [16][17][18][19], state of the art scientific literature sees only few papers coupling MT-InSAR and structural modeling as a building damage assessment tool [6,[20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

et al. 2018

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Spaceborne multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a monitoring technique capable of extracting line of sight (LOS) cumulative surface displacement measurements with millimeter accuracy. Several improvements in the techniques and datasets quality led to more effective, near real time assessment and response, and a greater ability of constraining dynamically changing physical processes. Using examples of the COSMO-SkyMed (CSK) system, we present a methodology that bridges the gaps between MT-InSAR and the relative stiffness method for tunnel-induced subsidence damage assessment. The results allow quantification of the effect of the building on the settlement profile. As expected the greenfield deformation assessment tends to provide a conservative estimate in the majority of cases (~71% of the analyzed buildings), overestimating tensile strains up to 50%. With this work we show how these two techniques in the field of remote sensing and structural engineering can be synergistically used to complement and replace the traditional ground based analysis by providing an extended coverage and a temporally dense set of data.

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Rapid Damage Mapping for the 2015M_w 7.8 Gorkha Earthquake Using Synthetic Aperture Radar Data from COSMO–SkyMed and ALOS-2 Satellites

Cited by 120 publications

References 11 publications

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

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Rapid Damage Mapping for the 2015Mw 7.8 Gorkha Earthquake Using Synthetic Aperture Radar Data from COSMO–SkyMed and ALOS-2 Satellites

Cited by 120 publications

References 11 publications

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

Building Damage Assessment Using Multisensor Dual-Polarized Synthetic Aperture Radar Data for the 2016 M 6.2 Amatrice Earthquake, Italy

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

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Rapid Damage Mapping for the 2015M_w 7.8 Gorkha Earthquake Using Synthetic Aperture Radar Data from COSMO–SkyMed and ALOS-2 Satellites