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Enhancing Post-disaster Recovery by Fusion of Sensing and Simulation(Fostering Joint International Research)

Research Project

Project/Area Number 15KK0226
Research Category

Fund for the Promotion of Joint International Research (Fostering Joint International Research)

Allocation TypeMulti-year Fund
Research Field Natural disaster / Disaster prevention science
Research InstitutionTohoku University

Principal Investigator

Koshimura Shunichi  東北大学, 災害科学国際研究所, 教授 (50360847)

Project Period (FY) 2016 – 2019
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥14,170,000 (Direct Cost: ¥10,900,000、Indirect Cost: ¥3,270,000)
Keywordsリモートセンシング / 津波 / 広域被害把握 / 被害把握 / 被害推定 / 自然災害 / シミュレーション / 地理情報システム(GIS)
Outline of Final Research Achievements

As a joint research with the United Nations Office for Outer Space Affairs and the German Aerospace Center, the study was conducted to demonstrate and deploy an integrated simulation and remote sensing technology for advanced tsunami disaster response.

One of the research outcome summarizes the current status and prospects of the research on the use of remote sensing for tsunami damage assessment in a wide area, focusing on the following issues; assessment of the inundation area, extraction of building damage, debris, and search for victims. Also, the use of various platforms, the improvement of sensor performance and resolution, enhancing communication technology, and the use of AI for image recognition are expected to enhance the technology dramatically in the future.

Academic Significance and Societal Importance of the Research Achievements

2015年国連防災世界会議において発足したGlobal Partnership on Space Technology Applications for Disaster Risk Reduction(GP-STAR)への参画と標準技術の提案,World Bosai Forumでは仙台防災枠組の目標達成の評価に寄与するかについて,6つの視点;(1)定量的な被害の把握手法の確立,(2)観測の迅速性向上,(3)有用な地図プロダクトの開示,(4)クラウドソーシングの推進,(5)衛星コンステレーションの改善,(6)多様なセンサ・プラットフォームの活用についての課題・展望を明らかにすることができた.

Report

(5 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (19 results)

All 2020 2019 2018 2017 2016 Other

All Int'l Joint Research (2 results) Journal Article (8 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 8 results,  Open Access: 6 results,  Acknowledgement Compliant: 2 results) Presentation (5 results) (of which Int'l Joint Research: 5 results,  Invited: 3 results) Remarks (1 results) Funded Workshop (3 results)

  • [Int'l Joint Research] ドイツ航空宇宙センター(ドイツ)2017

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] 国連宇宙局(ドイツ)2016

    • Related Report
      2019 Annual Research Report
  • [Journal Article] Multi-Source Data Fusion Based on Ensemble Learning for Rapid Building Damage Mapping during the 2018 Sulawesi Earthquake and Tsunami in Palu, Indonesia2019

    • Author(s)
      Adriano Bruno、Xia Junshi、Baier Gerald、Yokoya Naoto、Koshimura Shunichi
    • Journal Title

      Remote Sensing

      Volume: 11 Issue: 7 Pages: 886-886

    • DOI

      10.3390/rs11070886

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Drawback in the change detection approach: False detection during the 2018 western Japan floods2019

    • Author(s)
      Moya, L., Endo, Y., Okada, G., Koshimura, S., & Mas, E.
    • Journal Title

      Remote Sensing

      Volume: 11(19) Issue: 19 Pages: 1-19

    • DOI

      10.3390/rs11192320

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Detecting urban changes using phase correlation and l1-based sparse model for early disaster response: A case study of the 2018 Sulawesi Indonesia earthquake-tsunami2019

    • Author(s)
      Moya, L., Muhari, A., Adriano, B., Koshimura, S., Mas, E., Marval-Perez, L. R., & Yokoya, N.
    • Journal Title

      Remote Sensing of Environment

      Volume: 242 Pages: 111743-111743

    • DOI

      10.1016/j.rse.2020.111743

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami2018

    • Author(s)
      Bai Yanbing、Mas Erick、Koshimura Shunichi
    • Journal Title

      Remote Sensing

      Volume: 10 Issue: 10 Pages: 1626-1626

    • DOI

      10.3390/rs10101626

    • Related Report
      2018 Research-status Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] A Framework of Rapid Regional Tsunami Damage Recognition from Post-event TerraSAR-X Imagery Using Deep Neural Networks2018

    • Author(s)
      Yanbing Bai, Chang Gao, Sameer Singh, Magaly Koch, Bruno Adriano, Erick Mas, Shunichi Koshimura
    • Journal Title

      IEEE Geoscience and Remote Sensing Letters

      Volume: 55 Issue: 1 Pages: 43-47

    • DOI

      10.1109/lgrs.2017.2772349

    • Related Report
      2017 Research-status Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Machine Learning Based Building Damage Mapping from the ALOS-2/PALSAR-2 SAR Imagery: Case Study of 2016 Kumamoto Earthquake2017

    • Author(s)
      Yanbing Bai, Bruno Adriano, Erick Mas, Shunichi Koshimura
    • Journal Title

      Journal of Disaster Research

      Volume: 12 Issue: sp Pages: 646-655

    • DOI

      10.20965/jdr.2017.p0646

    • NAID

      130008128129

    • ISSN
      1881-2473, 1883-8030
    • Year and Date
      2017-06-30
    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] Verification of a Method for Estimating Building Damage in Extensive Tsunami Affected Areas Using L-Band SAR Data2017

    • Author(s)
      Gokon, H., S. Koshimura, K. Meguro
    • Journal Title

      Journal of Disaster Research

      Volume: 12 Issue: 2 Pages: 251-258

    • DOI

      10.20965/jdr.2017.p0251

    • NAID

      130008128151

    • ISSN
      1881-2473, 1883-8030
    • Year and Date
      2017-03-20
    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Journal Article] Object-Based Building Damage Assessment Methodology Using Only Post Event ALOS-2/PALSAR-2 Dual Polarimetric SAR Intensity Images2017

    • Author(s)
      Bai, Y., B. Adriano, E. Mas, H. Gonon, S. Koshimura
    • Journal Title

      Journal of Disaster Research

      Volume: 12 Issue: 2 Pages: 259-271

    • DOI

      10.20965/jdr.2017.p0259

    • NAID

      130008128152

    • ISSN
      1881-2473, 1883-8030
    • Year and Date
      2017-03-20
    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] How Modeling and Simulation Can Help Improve Coastal Communities’ Preparation, Defense, and Recovery from Disaster: Insights from Japan’s Experiences2020

    • Author(s)
      Shunichi Koshimura
    • Organizer
      US - Japan Relationship Conference Series
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Integrating real-time simulation, earth observation, and geo-informatics for assessing tsunami impact2019

    • Author(s)
      Shunichi Koshimura
    • Organizer
      27th IUGG General Assembly
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Three-Dimensional Mapping of Tsunami Debris using Optical Sensor and LiDAR Data2018

    • Author(s)
      Shunichi Koshimura and Takumi Fukuoka
    • Organizer
      EGU General Assembly 2018
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research
  • [Presentation] Enhancement of Earth Observation and Modeling for Enhancing Tsunami Disaster Resilience2018

    • Author(s)
      Shunichi Koshimura
    • Organizer
      11th Aceh International Workshop and Expo on Sustainable Tsunami Disaster Recovery
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research / Invited
  • [Presentation] Enhancing Earth Observation and Modeling for Tsunami Disaster Response and Management2017

    • Author(s)
      Shunichi Koshimura, Joachim Post
    • Organizer
      EGU General Assembly 2017
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Remarks] GP-STAR

    • URL

      http://www.un-spider.org/network/post2015_drr

    • Related Report
      2017 Research-status Report
  • [Funded Workshop] World Bosai Forum 2019, Organized Session “Innovative Remote Sensing Technologies for Enhancing Disaster Management”2019

    • Related Report
      2019 Annual Research Report
  • [Funded Workshop] Japan/German project definition workshop on Disaster and Risk Management2018

    • Related Report
      2018 Research-status Report
  • [Funded Workshop] World Bosai Forum Session, Global Partnership on Space Technology Applications for Disaster Risk Reduction (GP-STAR)2017

    • Related Report
      2017 Research-status Report

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Published: 2016-10-04   Modified: 2021-02-19  

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