COI code: SEE08_240
Paper Language: English
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Authors GROUND DISPLACEMENT AND BUILDING DAMAGE ESTIMATION OF THE 2017 KERMANSHAH EARTHQUAKE USING SAR REMOTE SENSINGSadra Karimzadeh - Assistant Professor, University of Tabriz, Iran
Masashi Matsuoka - Professor, Tokyo Institute of Technology, Tokyo, Japan
Abstract:We used two synthetic aperture radar (SAR) datasets with different resolution to monitor the Kermanshah earthquake displacements and the buildings in Sarpole-Zahab town. We have obtained two high resolution dual-polarized (HH and HV) ALOS-2 images in stripmap (SM) mode and three dual-polarized (VV and VH) Sentinel-1 images in interferometric wide (IW) mode from ascending orbits. The incidence angle of ALOS-2 and Sentinel -1 datasets were 36.2° and 38.9°, respectively. Temporal baseline of ALOS-2 dataset is 42 days, whereas pre-event and co-seismic temporal baselines of Sentinel-1 dataset are 13 and 18 days, respectively. Human activities after disasters increase and deteriorate the damage proxy maps which sometimes make the damage proxy maps meaningless. Thus, we need post-event images with shortest gaps with the event. Since the revisit cycle of ALOS-2 is rather large, we only use two ALOS-2 images to calculate ground displacement
Keywords:SAR remote sensing, Kermanshah earthquake, Damage detection
COI code: SEE08_240
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Karimzadeh, Sadra & Masashi Matsuoka, 2019, GROUND DISPLACEMENT AND BUILDING DAMAGE ESTIMATION OF THE 2017 KERMANSHAH EARTHQUAKE USING SAR REMOTE SENSING, 8th International Conference on Seismology and Earthquake Engineering, تهران, پژوهشگاه بينالمللي زلزلهشناسي و مهندسي زلزله, https://www.civilica.com/Paper-SEE08-SEE08_240.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Karimzadeh, Sadra & Masashi Matsuoka, 2019)
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Type: state university
Paper No.: 17376
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