Analysis of Urban Areas Affected by the 2011 Off the Pacific Coast of Tohoku Earthquake and Tsunami With L-Band SAR Full-Polarimetric Mode

Watanabe, Masahiro; Motohka, Takeshi; Miyagi, Yousuke; Yonezawa, Chinatsu; Shimada, Masanobu

doi:10.1109/lgrs.2011.2182030

Cited by 58 publications

(23 citation statements)

References 8 publications

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“…Nevertheless, there is no straightforward SAR method that meets the needs of users or strategy makers. The existing methods vary from region to region, due to differences in local parameters such as vegetation, topography, or building performance [7,8,11,18,22,27]. None of the studies discussed in Section 1 has focused on a combination of dual-polarized SAR intensity and dual-polarized SAR coherence together with discriminant analysis.…”

Section: Methodsmentioning

confidence: 99%

“…The full-polarization mode has been suggested as a practical method for detecting damage to buildings, because various items of information can be derived from it [20,21]. A marked improvement of the detection of urban damage was achieved by examining the polarimetric coherence between RR and LL circular polarization in fully polarized SAR after the Tohoku earthquake of 2011 [22]. Note, however, that fully polarized data are more rarely available than single-or dual-polarized data.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

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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“…PolSAR analysis was examined in, for example, 2011 off the pacific coast of the Tohoku Earthquake [9][10][11][12]. Current problems for this method are that there are less acquisitions for full polarimetric mode and less spatial resolution caused by the operational limit of the platforms.…”

Section: Introductionmentioning

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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“…A number of studies using SAR images for tsunami damage assessment have been reported (Chini et al, 2012;Liu et al, 2012;Gokon et al, 2014;Dumitru et al, 2015). In these studies, full polarimetric SAR images were mainly used to detect damage induced by tsunamis in recent years (Watanabe et al, 2012;Chen and Sato, 2013;Park et al, 2013), and the authors reported that single polarization SAR images limit the information describing land surface compared to full polarimetric SAR images. However, a single polarization SAR image can cover a wider area than a full polarimetric SAR image (Ainsworth et al, 2009), making it suitable for assessing damage induced by large-scale natural disasters.…”

Section: Introductionmentioning

confidence: 99%

A Similarity Weight-based Method to Detect Damage Induced by a Tsunami

Jeon¹,

Kim²,

Kim³

2016

Journal of the Korean Society of Surveying, Geodesy, Photogramm

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Among the various remote sensing sensors compared to the electro-optical sensors, SAR (Synthetic Aperture Radar) is very suitable for assessing damaged areas induced by disaster events owing to its all-weather day and night acquisition capability and sensitivity to geometric variables. The conventional CD (Change Detection) method that uses two-date data is typically used for mapping damage over extensive areas in a short time, but because data from only two dates are used, the information used in the conventional CD is limited. In this paper, we propose a novel CD method that is extended to use data consisting of two pre-disaster SAR data and one post-disaster SAR data. The proposed CD method detects changes by using a similarity weight image derived from the neighborhood information of a pixel in the data from the three dates. We conducted an experiment using three single polarization ALOS PALSAR (Advanced Land Observing Satellite/Phased Array Type L-Band) data collected over Miyagi, Japan which was seriously damaged by the 2011 east Japan tsunami. The results demonstrated that the mapping accuracy for damaged areas can be improved by about 26% with an increase of the g-mean compared to the conventional CD method. These improved results prove the performance of our proposed CD method and show that the proposed CD method is more suitable than the conventional CD method for detecting damaged areas induced by disaster. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Analysis of Urban Areas Affected by the 2011 Off the Pacific Coast of Tohoku Earthquake and Tsunami With L-Band SAR Full-Polarimetric Mode

Cited by 58 publications

References 8 publications

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

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

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

A Similarity Weight-based Method to Detect Damage Induced by a Tsunami

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