RII Track-4:@NASA: Enhancing Flood Detection and Mapping by Using PolSAR, Metaheuristic, and Deep Learning Algorithms

RII Track-4：@NASA：使用 PolSAR、元启发式和深度学习算法增强洪水检测和绘图

• 批准号: 2327253
• 负责人: Sayed Bateni
• 金额: $ 29.99万
• 依托单位: University of Hawaii
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2327253&HistoricalAwards=false
• 关键词: RII; Track; NASA; Enhancing; Flood

Floods are among the deadliest disasters and the most common and frequent natural hazards to life, property, the economy, and the environment worldwide. There is a vital need for an accurate and quick mapping of flooded areas to improve response to and recovery from floods, water resources management, effective land management, and risk mitigation efforts. Given the more frequent extreme weather events, detection of flooded areas should be quick to expedite the disaster response and maximize the success of mitigation efforts. Currently, there is a knowledge gap in the accurate and fast mapping of flooded areas with high-resolution synthetic aperture radar (SAR) data. This Research Infrastructure Improvement Track-4 EPSCoR Research Fellows (RII Track-4) project will provide a fellowship to an Associate Professor and training for a postdoctoral fellow at the University of Hawaii. This work will be conducted in collaboration with researchers at NASA Marshall Space Flight Center (MSFC). This fellowship provides a state-of-the-art framework for the precise and rapid detection of flooded areas with high-resolution SAR data. The results from this fellowship will be beneficial for a diverse group of stakeholders, including hydrologists, government agencies and contractors, insurance providers, land developers, community planners, and individuals living in flood-prone areas. The educational activities are designed to motivate underrepresented high school and undergraduate students to pursue advanced degrees in Science, Technology, Engineering, and Mathematics (STEM) fields and improve graduate students’ education. Videos will be created and disseminated to broaden public awareness and appreciation of the benefits of this fellowship for underserved U.S. Pacific Islanders.The main goal of this fellowship is to transform the Principal Investigator (PI)’s research trajectory and benefit his home institution and jurisdiction by pursuing four specific objectives: 1) Building a strong partnership with his host at the NASA Marshall Space Flight Center: The PI will make four collaborative visits to the host site to advance his project and create a long-term collaborative relationship with the host. The host will also visit the PI’s institution twice to co-advise the postdoctoral researcher and present a seminar for stakeholders; 2) Advancing the knowledge of SAR-based flood mapping by developing and validating state-of-the-art computational tools: The PI and postdoctoral researcher will process SAR images related to four flood events, find their optimum polarimetric SAR (PolSAR) decompositions via metaheuristic algorithms, and use the deep Residual U-Net model to detect flooded areas; 3) Promoting education of underserved students in the field of hydrology, remote sensing, and natural hazards: The PI will also engage underserved students in research activities related to this fellowship to enhance their critical thinking skills. The expected outcomes are to prepare the next generation of scientists to use scientific computing tools in hydrology and natural hazards, and close the workforce gap for minority students in geoscience, and 4) Creating effective disaster response strategies during a flood: Coordinating a working group of stakeholders to create protocols by which the flood maps from this fellowship can be used by local and state emergency managers to mitigate the impacts of floods on underrepresented populations living in coastal communities.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

洪水是最致命的灾难之一，也是全世界生命，财产，经济和环境的最常见和自然危害。至关重要的是，需要准确，快速地绘制被洪水泛滥的区域，以改善对地板，水资源管理，有效的土地管理和风险缓解工作的反应和恢复。鉴于更频繁的极端天气事件，应对洪水泛滥的地区的发现应迅速加快灾难反应并最大程度地减轻缓解措施。当前，具有高分辨率合成孔径雷达（SAR）数据的洪水泛滥区域的准确和快速映射存在知识差距。这项研究基础设施改进Track-4 Epscor Research Fellows（RII Track-4）项目将为夏威夷大学的博士后研究员提供奖学金和培训。这项工作将与NASA Marshall太空飞行中心（MSFC）的研究人员合作进行。该奖学金为使用高分辨率SAR数据的精确和快速检测提供了一个最新的框架。该奖学金的结果将对一群利益相关者组成，包括水文学家，政府机构和承包商，保险提供者，土地开发商，社区规划师以及居住在洪水泛滥地区的个人。这些教育活动旨在激励人数不足的高中和本科生攻读科学，技术，工程和数学（STEM）领域的高级学位，并改善研究生的教育。将创建和分解视频，以扩大公众对这项团契对美国太平洋岛屿不足的好处的认识和欣赏。这项团契的主要目标是改变主要研究者（PI）的研究轨迹，使他的家庭机构和管辖权受益，并通过与他的主持人建立强大的伙伴关系：1）与他的主机合作：1）主机网站推进了他的项目，并与主持人建立了长期的合作关系。主持人还将两次访问PI的机构，以共同研究博士后研究人员，并为利益相关者提供开创性； 2）通过开发和验证最先进的计算工具来促进基于SAR的洪水映射的知识：PI和博士后研究人员将处理与四个洪水事件相关的SAR图像，找到其最佳的极性SAR（POLSAR）通过元数据的分解，并使用深度残留的UNET模型来检测洪水泛滥的区域； 3）在水文学，遥感和自然危害领域促进服务不足的学生的教育：PI还将让服务不足的学生参与与该研究金有关的研究活动，以提高他们的批判性思维能力。预期的结果是准备下一代科学家在水文和自然危害中使用科学计算工具，并缩小地球科学中少数群体学生的劳动力差距，以及4）在洪水期间创建有效的灾难响应策略：协调一组利益相关者的工作组，以在当地和州的状态紧急情况下使用该协议，从而在该协议中使用该协议，从而在此范围内使用该协议。沿海社区。该奖项反映了NSF的法定任务，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估被认为是宝贵的支持。