Enhancing Post-disaster Recovery by Fusion of Sensing and Simulation(Fostering Joint International Research)
| Project/Area Number |
15KK0226
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| Research Category |
Fund for the Promotion of Joint International Research (Fostering Joint International Research)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Natural disaster / Disaster prevention science
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Project Period (FY) |
2016 – 2019
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥14,170,000 (Direct Cost: ¥10,900,000、Indirect Cost: ¥3,270,000)
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| 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） |
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| 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.
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| 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．
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Report
(5 results)
Research Products
(19 results)
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[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.
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Journal Title
Remote Sensing of Environment
Volume: 242
Pages: 111743-111743
DOI
Related Report
Peer Reviewed / Open Access / Int'l Joint Research
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