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We present an earthquake risk evaluation using landforms classified by unsupervised method and a Digital Elevation Model (DEM) in order to get ground condition without surface study. The classified landforms are adopted for the amplification factor in order to calculate the peak ground velocity (Vmax) of the ground motion. We demonstrate the performance of the proposed method by mean of evaluation...
In this study, we propose a new earthquake damage detection method based on a combination of the results estimated by using earthquake information (magnitude and location of source) and the change of the earth's surface observed by SAR. As a map produced by the detection method has less noise than a coherence ratio image, we found that the proposed method has better detection ability than that which...
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