Mas Samanez Erick Arturo

研究成果

年別の研究成果 2012 2013 2014 2015 2018 2020 2021 2022

• 54 Article
• 7 Conference contribution
• 5 Chapter
• 3 Conference article
• 5 その他
  • 2 Editorial
  • 2 Review article
  • 1 Paper

年別の研究成果

年別の研究成果

検索結果

• Article

  3D gray level co-occurrence matrix and its application to identifying collapsed buildings

  Moya, L., Zakeri, H., Yamazaki, F., Liu, W., Mas, E. & Koshimura, S., 2019 3月, In: ISPRS Journal of Photogrammetry and Remote Sensing. 149, p. 14-28 15 p.

  研究成果: Article › 査読

  • Texture Analysis 100%
  • Buildings 100%
  • Building 100%
  • Texture Feature 50%
  • Support Vector Machine 37%
  56 被引用数 (Scopus)

• A comparative study of empirical and analytical fragility functions for the assessment of tsunami building damage in Tumaco, Colombia

  Paez-Ramirez, J., Lizarazo-Marriaga, J., Medina, S., Estrada, M., Mas, E. & Koshimura, S., 2020 7月 2, In: Coastal Engineering Journal. 62, 3, p. 362-372 11 p.

  研究成果: Article › 査読

  • Functions 100%
  • Events 28%
  • Survey 28%
  • Comparative Study 28%
  • Buildings 28%
  5 被引用数 (Scopus)

• A Decade After the 2004 Indian Ocean Tsunami: The Progress in Disaster Preparedness and Future Challenges in Indonesia, Sri Lanka, Thailand and the Maldives

  Suppasri, A., Goto, K., Muhari, A., Ranasinghe, P., Riyaz, M., Affan, M., Mas, E., Yasuda, M. & Imamura, F., 2015 12月 1, In: Pure and Applied Geophysics. 172, 12, p. 3313-3341 29 p.

  研究成果: Article › 査読

  Open Access

  • Tsunami 100%
  • Tsunamis 100%
  • Reconstruction 33%
  • Country 33%
  • Disaster 33%
  66 被引用数 (Scopus)

• Advances of international collaboration on M9 disaster science: scientific session report

  Maly, E., Terada, K., Leveque, R. J., Kuriyama, N., Abramson, D. B., Nguyen, L. T., Bostrom, A., León, J., Motley, M., Catalan, P. A., Koshimura, S., Moriguchi, S., Yamaguchi, Y., Garrison-Laney, C., Suppasri, A. & Mas, E., 2020, In: Journal of Disaster Research. 15, 7, p. 890-899 10 p.

  研究成果: Article › 査読

  Open Access

  • Disasters 100%
  • Collaboration 62%
  • Science 62%
  • Tsunami 50%
  • Research 25%
  1 被引用数 (Scopus)

• A framework of rapid regional tsunami damage recognition from post-event terraSAR-X imagery using deep neural networks

  Bai, Y., Gao, C., Singh, S., Koch, M., Adriano, B., Mas, E. & Koshimura, S., 2018 1月, In: IEEE Geoscience and Remote Sensing Letters. 15, 1, p. 43-47 5 p.

  研究成果: Article › 査読

  • Damage 100%
  • Region 100%
  • Tsunami 60%
  • TerraSAR-X 60%
  • Rapid 60%
  58 被引用数 (Scopus)

• An integrated method to extract collapsed buildings from satellite imagery, hazard distribution and fragility curves

  Moya, L., Mas, E., Adriano, B., Koshimura, S., Yamazaki, F. & Liu, W., 2018 10月, In: International Journal of Disaster Risk Reduction. 31, p. 1374-1384 11 p.

  研究成果: Article › 査読

  • Building 100%
  • Buildings 100%
  • Satellite Imagery 50%
  • Radar Sensor 33%
  • Training Data 33%
  15 被引用数 (Scopus)

• An integrated simulation of tsunami hazard and human evacuation in La Punta, Peru

  Mas, E., Adriano, B. & Koshimura, S., 2013 3月, In: Journal of Disaster Research. 8, 2, p. 285-295 11 p.

  研究成果: Article › 査読

  • Tsunami 100%
  • Casualty 33%
  • Model 33%
  • Simulation Mode 33%
  • Disaster Management 22%
  60 被引用数 (Scopus)

• Applicability of calculation formulae of impact force by tsunami driftage

  Yamamoto, Y., Kozono, Y., Mas, E., Murase, F., Nishioka, Y., Okinaga, T. & Takeda, M., 2021 5月, In: Journal of Marine Science and Engineering. 9, 5, 493.

  研究成果: Article › 査読

  Open Access

  • Calculation 100%
  • Atmospherics 80%
  • Emergency Management 80%
  • Impact 80%
  • Management 80%
  1 被引用数 (Scopus)

• A Reinforcement Learning Model of Multiple UAVs for Transporting Emergency Relief Supplies

  Hachiya, D., Mas, E. & Koshimura, S., 2022 10月, In: Applied Sciences (Switzerland). 12, 20, 10427.

  研究成果: Article › 査読

  Open Access

  • Supply 100%
  • Transport 58%
  • Vehicles 50%
  • Unmanned Aerial Vehicle 50%
  • Simulation Mode 41%
  1 被引用数 (Scopus)

• Brief communication: Radar images for monitoring informal urban settlements in vulnerable zones in Lima, Peru

  Moya, L., Garcia, F., Gonzales, C., Diaz, M., Zavala, C., Estrada, M., Yamazaki, F., Koshimura, S., Mas, E. & Adriano, B., 2022 1月 12, In: Natural Hazards and Earth System Sciences. 22, 1, p. 65-70 6 p.

  研究成果: Article › 査読

  Open Access

  • Area 100%
  • Urban Settlement 66%
  • Communication 66%
  • Image 66%
  • Housing 66%

• Building damage assessment in the 2015 Gorkha, Nepal, Earthquake using only post-event dual polarization synthetic apertuRe radar imagery

  Bai, Y., Adriano, B., Mas, E. & Koshimura, S., 2017 12月, In: Earthquake Spectra. 33, Special issue 1, p. S185-S195

  研究成果: Article › 査読

  • Datum 100%
  • Image 100%
  • Synthetic Aperture Radar 66%
  • Metropolitan Area 66%
  • PALSAR 66%
  20 被引用数 (Scopus)

• Building damage characteristics based on surveyed data and fragility curves of the 2011 Great East Japan tsunami

  Suppasri, A., Mas, E., Charvet, I., Gunasekera, R., Imai, K., Fukutani, Y., Abe, Y. & Imamura, F., 2013 3月, In: Natural Hazards. 66, 2, p. 319-341 23 p.

  研究成果: Article › 査読

  • Buildings 100%
  • Characteristics 25%
  • Japan 25%
  • Position (Location) 25%
  • Damage Level 16%
  193 被引用数 (Scopus)

• Characteristics of Tsunami Fragility Functions Developed Using Different Sources of Damage Data from the 2018 Sulawesi Earthquake and Tsunami

  Mas, E., Paulik, R., Pakoksung, K., Adriano, B., Moya, L., Suppasri, A., Muhari, A., Khomarudin, R., Yokoya, N., Matsuoka, M. & Koshimura, S., 2020 6月 1, In: Pure and Applied Geophysics. 177, 6, p. 2437-2455 19 p.

  研究成果: Article › 査読

  Open Access

  • Tsunami 100%
  • Damage 72%
  • Depth 45%
  • Datum 45%
  • Probability Theory 45%
  10 被引用数 (Scopus)

• Combination of school evacuation drill with tsunami inundation simulation: Consensus-making between disaster experts and citizens on an evacuation strategy

  Nakano, G., Yamori, K., Miyashita, T., Urra, L., Mas, E. & Koshimura, S., 2020 12月, In: International Journal of Disaster Risk Reduction. 51, 101803.

  研究成果: Article › 査読

  Open Access

  • Experts 100%
  • Tsunami 71%
  • Scenarios 35%
  • Films 28%
  • Clip 28%
  14 被引用数 (Scopus)

• Damage characteristic and field survey of the 2011 great east Japan tsunami in miyagi prefecture

  Suppasri, A., Koshimura, S., Imai, K., Mas, E., Gokon, H., Muhari, A. & Imamura, F., 2012 3月, In: Coastal Engineering Journal. 54, 1, 1250005.

  研究成果: Article › 査読

  • Tsunami 100%
  • Tsunamis 100%
  • Damage 50%
  • Area 41%
  • Surveys 41%
  126 被引用数 (Scopus)

• Detecting urban changes using phase correlation and ℓ₁-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami

  Moya, L., Muhari, A., Adriano, B., Koshimura, S., Mas, E., Marval-Perez, L. R. & Yokoya, N., 2020 6月 1, In: Remote Sensing of Environment. 242, 111743.

  研究成果: Article › 査読

  Open Access

  • Correlation 100%
  • Image 85%
  • Images 85%
  • Area 57%
  • Investigation 57%
  22 被引用数 (Scopus)

• Developing tsunami fragility curves from the surveyed data of the 2011 great east Japan tsunami in Sendai and Ishinomaki plains

  Suppasri, A., Mas, E., Koshimura, S., Imai, K., Harada, K. & Imamura, F., 2012 3月, In: Coastal Engineering Journal. 54, 1, 1250008.

  研究成果: Article › 査読

  • Tsunamis 100%
  • Curve 54%
  • Depth 45%
  • Japan 36%
  • Houses 36%
  90 被引用数 (Scopus)

• Developing Tsunami fragility curves using remote sensing and survey data of the 2010 Chilean Tsunami in Dichato

  Mas, E., Koshimura, S., Suppasri, A., Matsuoka, M., Matsuyama, M., Yoshii, T., Jimenez, C., Yamazaki, F. & Imamura, F., 2012, In: Natural Hazards and Earth System Science. 12, 8, p. 2689-2697 9 p.

  研究成果: Article › 査読

  • Tsunami 100%
  • Tsunamis 100%
  • Surveys 40%
  • Curve 40%
  • Coast 30%
  73 被引用数 (Scopus)

• Development of building height data in Peru from high-resolution SAR imagery

  Liu, W., Yamazaki, F., Adriano, B., Mas, E. & Koshimura, S., 2014 12月 1, In: Journal of Disaster Research. 9, 6, p. 1042-1049 8 p.

  研究成果: Article › 査読

  Open Access

  • Building 100%
  • Buildings 100%
  • Datum 71%
  • Height 71%
  • High Resolution 57%
  7 被引用数 (Scopus)

• Disaster Intensity-Based Selection of Training Samples for Remote Sensing Building Damage Classification

  Moya, L., Geis, C., Hashimoto, M., Mas, E., Koshimura, S. & Strunz, G., 2021 10月, In: IEEE Transactions on Geoscience and Remote Sensing. 59, 10, p. 8288-8304 17 p.

  研究成果: Article › 査読

  Open Access

  • Buildings 100%
  • Disasters 57%
  • Procedures 42%
  • Applications 28%
  • Training Sample 28%
  9 被引用数 (Scopus)

• Drawback in the change detection approach: False detection during the 2018 western Japan floods

  Moya, L., Endo, Y., Okada, G., Koshimura, S. & Mas, E., 2019 10月 1, In: Remote Sensing. 11, 19, 2320.

  研究成果: Article › 査読

  Open Access

  • Target 100%
  • Flood 100%
  • Area 75%
  • Image 75%
  • Synthetic Aperture Radar 50%
  14 被引用数 (Scopus)

• Dynamic integrated model for disaster management and socioeconomic analysis (DIM2SEA)

  Mas, E., Felsenstein, D., Moya, L., Grinberger, A. Y., Das, R. & Koshimura, S., 2018 12月, In: Journal of Disaster Research. 13, 7, p. 1257-1271 15 p.

  研究成果: Article › 査読

  Open Access

  • Simulation Mode 100%
  • Disasters 50%
  • Socioeconomics 37%
  • Model 37%
  • Disaster 37%
  1 被引用数 (Scopus)

• Enhancement of detecting permanent water and temporary water in flood disasters by fusing sentinel-1 and sentinel-2 imagery using deep learning algorithms: Demonstration of sen1floods11 benchmark datasets

  Bai, Y., Wu, W., Yang, Z., Yu, J., Zhao, B., Liu, X., Yang, H., Mas, E. & Koshimura, S., 2021 6月 1, In: Remote Sensing. 13, 11, p. NA 2220.

  研究成果: Article › 査読

  Open Access

  • Water 100%
  • Flood 100%
  • Intersection 50%
  • Sentinel 50%
  • Imagery 50%
  22 被引用数 (Scopus)

• Field survey report and satellite image interpretation of the 2013 Super Typhoon Haiyan in the Philippines

  Mas, E., Bricker, J., Kure, S., Adriano, B., Yi, C., Suppasri, A. & Koshimura, S., 2015 4月 10, In: Natural Hazards and Earth System Sciences. 15, 4, p. 805-816 12 p.

  研究成果: Article › 査読

  • Damage 100%
  • Typhoon 83%
  • Island 83%
  • Philippines 66%
  • Area 50%
  75 被引用数 (Scopus)

• Identifying building damage patterns in the 2016 Meinong, Taiwan earthquake using post-event dual-polarimetric ALOS-2/PALSAR-2 imagery

  Bai, Y., Adriano, B., Mas, E. & Koshimura, S., 2018 3月, In: Journal of Disaster Research. 13, 2, p. 291-302 12 p.

  研究成果: Article › 査読

  Open Access

  • Building 100%
  • Damage 42%
  • Earthquake 35%
  • Synthetic Aperture Radar 28%
  • ALOS 21%
  2 被引用数 (Scopus)

• Learning from the 2018 Western Japan heavy rains to detect floods during the 2019 Hagibis Typhoon

  Moya, L., Mas, E. & Koshimura, S., 2020 7月 1, In: Remote Sensing. 12, 14, 2244.

  研究成果: Article › 査読

  Open Access

  • Training Data 100%
  • Machine Learning 66%
  • Identification 66%
  • Remote Sensing Data 33%
  • Discriminant Function 33%
  19 被引用数 (Scopus)

• Lessons Learned from the 2011 Great East Japan Tsunami: Performance of Tsunami Countermeasures, Coastal Buildings, and Tsunami Evacuation in Japan

  Suppasri, A., Shuto, N., Imamura, F., Koshimura, S., Mas, E. & Yalciner, A. C., 2013 6月, In: Pure and Applied Geophysics. 170, 6-8, p. 993-1018 26 p.

  研究成果: Article › 査読

  • Tsunami 100%
  • Building 28%
  • Countermeasure 21%
  • Japan 21%
  • Earthquake 21%
  163 被引用数 (Scopus)

• Machine learning based building damage mapping from the ALOS-2/PALSAR-2 SAR imagery: Case study of 2016 kumamoto earthquake

  Bai, Y., Adriano, B., Mas, E. & Koshimura, S., 2017 6月, In: Journal of Disaster Research. 12, Special Issue, p. 646-655 10 p.

  研究成果: Article › 査読

  Open Access

  • Synthetic Aperture Radar Images 100%
  • Damage 83%
  • Event 83%
  • Building 83%
  • Events 83%
  27 被引用数 (Scopus)

• Method to extract difficult-to-evacuate areas by using tsunami evacuation simulation and numerical analysis

  Ito, E., Kosaka, T., Hatayama, M., Urra, L., Mas, E. & Koshimura, S., 2021 10月, In: International Journal of Disaster Risk Reduction. 64, 102486.

  研究成果: Article › 査読

  Open Access

  • Area 100%
  • Tsunami 50%
  • Model 40%
  • Casualty 30%
  • Simulation 30%
  3 被引用数 (Scopus)

• Model-based analysis of multi-UAV path planning for surveying postdisaster building damage

  Nagasawa, R., Mas, E., Moya, L. & Koshimura, S., 2021 12月, In: Scientific reports. 11, 1, 18588.

  研究成果: Article › 査読

  Open Access

  • Simulation Mode 100%
  • Path Planning 50%
  • Resolution Image 25%
  • Algorithms 25%
  • Collisions 25%
  11 被引用数 (Scopus)

• Nationwide post event survey and analysis of the 2011 Tohoku earthquake tsunami

  THE 2011 TOHOKU EARTHQUAKE TSUNAMI JOINT SURVEY GROUP, 2014 1月 1, In: Coastal Engineering Journal. 54, 1, 1250001.

  研究成果: Article › 査読

  Open Access

  • Tsunami 100%
  • Coast 80%
  • Height 80%
  • Survey 80%
  • Japan 60%
  208 被引用数 (Scopus)

• New insights into multiclass damage classification of Tsunami-induced building damage from SAR images

  Endo, Y., Adriano, B., Mas, E. & Koshimura, S., 2018 12月 1, In: Remote Sensing. 10, 12, 2059.

  研究成果: Article › 査読

  Open Access

  • Synthetic Aperture Radar Images 100%
  • Damage 46%
  • Tsunami 40%
  • Buildings 26%
  • Building 26%
  21 被引用数 (Scopus)

• Novel unsupervised classification of collapsed buildings using satellite imagery, hazard scenarios and fragility functions

  Moya, L., Perez, L. R. M., Mas, E., Adriano, B., Koshimura, S. & Yamazaki, F., 2018 2月 1, In: Remote Sensing. 10, 2, 296.

  研究成果: Article › 査読

  Open Access

  • Building 100%
  • Buildings 100%
  • Machine Learning 75%
  • Training Sample 75%
  • Tsunami 50%
  30 被引用数 (Scopus)

• Object-based building damage assessment methodology using only post event ALOS-2/PALSAR-2 dual polarimetric SAR intensity images

  Bai, Y., Adriano, B., Mas, E., Gokon, H. & Koshimura, S., 2017 3月, In: Journal of Disaster Research. 12, 2, p. 259-271 13 p.

  研究成果: Article › 査読

  • Building 100%
  • Synthetic Aperture Radar 83%
  • Damage Assessment 66%
  • Forest 50%
  • Classification 50%
  24 被引用数 (Scopus)

• Pyramid pooling module-based semi-siamese network: A benchmark model for assessing building damage from xbd satellite imagery datasets

  Bai, Y., Hu, J., Su, J., Liu, X., Liu, H., He, X., Meng, S., Mas, E. & Koshimura, S., 2020 12月 2, In: Remote Sensing. 12, 24, p. 1-20 20 p., 4055.

  研究成果: Article › 査読

  Open Access

  • Simulation Mode 100%
  • Siamese Neural Network 75%
  • Model Benchmark 50%
  • Classification 25%
  • Future Disaster 25%
  20 被引用数 (Scopus)

• Recent Advances in Agent-Based Tsunami Evacuation Simulations: Case Studies in Indonesia, Thailand, Japan and Peru

  Mas, E., Koshimura, S., Imamura, F., Suppasri, A., Muhari, A. & Adriano, B., 2015 12月 1, In: Pure and Applied Geophysics. 172, 12, p. 3409-3424 16 p.

  研究成果: Article › 査読

  Open Access

  • Tsunami 100%
  • Modeling 66%
  • Tsunami Event 33%
  • Model 33%
  • Japan 33%
  65 被引用数 (Scopus)

• Salinity in Soils and Tsunami Deposits in Areas Affected by the 2010 Chile and 2011 Japan Tsunamis

  Yoshii, T., Imamura, M., Matsuyama, M., Koshimura, S., Matsuoka, M., Mas, E. & Jimenez, C., 2013 6月, In: Pure and Applied Geophysics. 170, 6-8, p. 1047-1066 20 p.

  研究成果: Article › 査読

  • Tsunami 100%
  • Tsunami Deposit 33%
  • Area 33%
  • Soil 33%
  • Ion 27%
  23 被引用数 (Scopus)

• Scenarios of earthquake and tsunami damage probability in callao region, Peru using tsunami fragility functions

  Adriano, B., Mas, E., Koshimura, S., Estrada, M. & Jimenez, C., 2014 12月 1, In: Journal of Disaster Research. 9, 6, p. 968-975 8 p.

  研究成果: Article › 査読

  Open Access

  • Tsunamis 100%
  • Buildings 46%
  • Earthquake 46%
  • Probability 38%
  • Probability Theory 38%
  10 被引用数 (Scopus)

• Seismic source of 1746 callao earthquake from tsunami numerical modeling

  Jimenez, C., Moggiano, N., Mas, E., Adriano, B., Koshimura, S., Fujii, Y. & Yanagisawa, H., 2013 3月, In: Journal of Disaster Research. 8, 2, p. 266-273 8 p.

  研究成果: Article › 査読

  Open Access

  • Seismic Source 100%
  • Tsunami 75%
  • Model 75%
  • Observation 50%
  • Simulation 50%
  15 被引用数 (Scopus)

• Simulation of Tsunami inundation in central Peru from future megathrust earthquake scenarios

  Mas, E., Adriano, B., Pulido, N., Jimenez, C. & Koshimura, S., 2014 12月 1, In: Journal of Disaster Research. 9, 6, p. 961-967 7 p.

  研究成果: Article › 査読

  • Tsunami 100%
  • Earthquake 100%
  • Simulation 50%
  • Peru 50%
  • Coupling 33%
  10 被引用数 (Scopus)

• Sparse Representation-Based Inundation Depth Estimation Using SAR Data and Digital Elevation Model

  Moya, L., Mas, E. & Koshimura, S., 2022, In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 15, p. 9062-9072 11 p.

  研究成果: Article › 査読

  Open Access

  • Depth 100%
  • Flood 100%
  • Digital Elevation Model 85%
  • Water Body 57%
  • Synthetic Aperture Radar 28%
  1 被引用数 (Scopus)

• Statistical analysis of earthquake debris extent from wood-frame buildings and its use in road networks in japan

  Moya, L., Mas, E., Yamazaki, F., Eeri, M., Liu, W. & Koshimura, S., 2020 2月, In: Earthquake Spectra. 36, 1, p. 209-231 23 p.

  研究成果: Article › 査読

  Open Access

  • Debris 100%
  • Earthquake 42%
  • Building 42%
  • Buildings 42%
  • Road Network 28%
  10 被引用数 (Scopus)

• Statistical Analysis of Japan Wood Frame Building Earthquake Debris Extent and Its Use in Road Networks in Japan

  Moya, L., Mas, E., Yamazaki, F., Liu, W. & Koshimura, S., 2019, (Accepted/In press) In: Earthquake Spectra.

  研究成果: Article › 査読

  • Debris 100%
  • Japan 42%
  • Earthquake 42%
  • Building 42%
  • Buildings 42%
  1 被引用数 (Scopus)

• Storm surge mapping of typhoon Haiyan and its impact in Tanauan, Leyte, Philippines

  Yi, C. J., Suppasri, A., Kure, S., Bricker, J. D., Mas, E., Quimpo, M. & Yasuda, M., 2015 9月 1, In: International Journal of Disaster Risk Reduction. 13, p. 207-214 8 p.

  研究成果: Article › 査読

  • Typhoon 100%
  • Map 100%
  • Storm Surge 75%
  • Municipality 50%
  • Water 50%
  15 被引用数 (Scopus)

• Synthetic building damage scenarios using empirical fragility functions: A case study of the 2016 Kumamoto earthquake

  Moya, L., Mas, E., Koshimura, S. & Yamazaki, F., 2018 10月, In: International Journal of Disaster Risk Reduction. 31, p. 76-84 9 p.

  研究成果: Article › 査読

  • Buildings 100%
  • Damage Scenario 57%
  • Damage State 28%
  • Good Agreement 14%
  • Spatial Distribution 14%
  14 被引用数 (Scopus)

• Technical solution discussion for key challenges of operational convolutional neural network-based building-damage assessment from satellite imagery: Perspective from benchmark XBD dataset

  Su, J., Bai, Y., Wang, X., Lu, D., Zhao, B., Yang, H., Mas, E. & Koshimura, S., 2020 11月 2, In: Remote Sensing. 12, 22, p. 1-25 25 p., 3808.

  研究成果: Article › 査読

  Open Access

  • Diagnosis 100%
  • Simulation Mode 66%
  • Artificial Intelligence 66%
  • Technical Solution 66%
  • Benchmark 33%
  10 被引用数 (Scopus)

• The potential role of news media to construct a machine learning based damage mapping framework

  Okada, G., Moya, L., Mas, E. & Koshimura, S., 2021 4月 1, In: Remote Sensing. 13, 7, 1401.

  研究成果: Article › 査読

  Open Access

  • Training Data 100%
  • News Media 66%
  • Building 66%
  • Flood 66%
  • Machine Learning 50%
  8 被引用数 (Scopus)

• Towards operational satellite-based damage-mapping using U-net convolutional network: A case study of 2011 Tohoku Earthquake-Tsunami

  Bai, Y., Mas, E. & Koshimura, S., 2018 10月 1, In: Remote Sensing. 10, 10, 1626.

  研究成果: Article › 査読

  Open Access

  • Disaster Response 100%
  • U-Net 100%
  • Simulation Mode 40%
  • Case Study 40%
  • Remote Sensing Image 40%
  70 被引用数 (Scopus)

• Tsunami analytical fragility curves for the Colombian Pacific coast: A reinforced concrete building example

  Medina, S., Lizarazo-Marriaga, J., Estrada, M., Koshimura, S., Mas, E. & Adriano, B., 2019 10月 1, In: Engineering Structures. 196, 109309.

  研究成果: Article › 査読

  • Buildings 100%
  • Reinforced Concrete 33%
  • Concrete Buildings 33%
  • Research 33%
  • Obtains 33%
  16 被引用数 (Scopus)

• Tsunami disaster mitigation by integrating comprehensive countermeasures in Padang city, Indonesia

  Imamura, F., Muhari, A., Mas, E., Pradono, M. H., Post, J. & Sugimoto, M., 2012 1月, In: Journal of Disaster Research. 7, 1, p. 48-64 17 p.

  研究成果: Article › 査読

  • Tsunami 100%
  • Building 75%
  • Metropolitan Area 50%
  • Mitigation 50%
  • Time 50%
  48 被引用数 (Scopus)