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NTIS 바로가기대한원격탐사학회지 = Korean journal of remote sensing, v.37 no.3, 2021년, pp.649 - 655
한지혜 (행정안전부 국립재난안전연구원) , 김진수 (부경대학교 공간정보시스템공학과)
This study purposes to cross-validate its performance by applying the optimal seismic vulnerability assessment model based on previous studies conducted in Gyeongju to other regions. The test area was Pohang City, the occurrence site for the 2017 Pohang Earthquake, and the dataset was built the same...
Han, J., S. Park, S. Kim, S. Son, S. Lee, and J. Kim, 2019. Performance of Logistic Regression and Support Vector Machines for Seismic Vulnerability Assessment and Mapping: A Case Study of the 12 September 2016 ML5. 8 Gyeongju Earthquake, South Korea, Sustainability, 11(24): 7038.
Han, J. and J. Kim, 2020. Seismic Vulnerability Assessment and Mapping for 9.12 Gyeongju Earthquake Based on Machine Learning, Korean Journal of Remote Sensing, 36(6-1): 1367-1377 (in Korean with English abstract).
Han, J., J. Kim, S. Park, S. Son, and M. Ryu, 2020. Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest, Sustainability, 12(18): 7787.
Kim, Y., J. Rhie, T.S. Kang, K.H. Kim, M. Kim, and S.J. Lee, 2016a. The 12 September 2016 Gyeongju earthquakes: 1. Observation and remaining questions, Geosciences Journal, 20(6): 747-752.
Kim, K.H., T.S. Kang, J. Rhie, Y. Kim, Y. Park, S.Y. Kang, M. Han, J. Kim, J. Park, and M. Kim, 2016b. The 12 September 2016 Gyeongju earthquakes: 2. Temporary seismic network for monitoring aftershocks, Geosciences Journal, 20(6): 753-757.
Ministry of the Interior and Safety (MOIS), 2018. 2017 Pohang Earthquake White Paper, Sejong, KR (in Korean).
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