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.

洪水是最致命的灾害之一，也是对全世界生命、财产、经济和环境最常见和最常见的自然灾害，迫切需要准确、快速地绘制洪水地区地图，以改善洪水响应和恢复。水资源管理、有效的土地管理和风险缓解工作鉴于极端天气事件更加频繁，应快速发现洪水地区，以加快灾害响应并最大限度地提高缓解工作的成功率。准确、快速的测绘该研究基础设施改进 Track-4 EPSCoR 研究人员 (RII Track-4) 项目将为夏威夷大学的副教授提供奖学金并为博士后提供培训。这项工作将与 NASA 马歇尔太空飞行中心 (MSFC) 的研究人员合作进行，该奖学金为利用高分辨率 SAR 数据精确、快速地检测洪水区域提供了一个最先进的框架。奖学金将对不同的利益相关者群体有利，包括水文学家、政府机构和承包商、保险提供商、土地开发商、社区规划者以及生活在洪水易发地区的个人。这些教育活动旨在激励代表性不足的高中生和本科生。攻读科学、技术、工程和数学 (STEM) 领域的高级学位，并提高研究生教育水平。我们将制作和传播视频，以扩大公众对这项奖学金为服务不足的美国太平洋岛民带来的好处的认识和认识。该奖学金的主要目标是通过追求四个具体目标来改变首席研究员 (PI) 的研究轨迹并使其所在机构和管辖范围受益：1) 与 NASA 马歇尔太空飞行中心的东道主建立牢固的合作伙伴关系：PI将对主办方进行四次合作访问，以推进其项目并与主办方建立长期合作关系主办方还将两次访问 PI 的机构，共同为博士后研究员提供建议并为利益相关者举办研讨会 2)增进知识通过开发和验证最先进的计算工具，基于 SAR 的洪水测绘：PI 和博士后研究员将处理与四个洪水事件相关的 SAR 图像，通过元启发式算法找到最佳极化 SAR (PolSAR) 分解，并使用用于检测洪水区域的深度残差 U-Net 模型；3) 促进服务水平低下的学生在水文、遥感和自然灾害领域的教育：PI 还将让服务水平低下的学生参与研究与该奖学金相关的活动旨在提高他们的批判性思维能力，预期成果是培养下一代科学家在水文学和自然灾害方面使用科学计算工具，并缩小少数族裔学生在地球科学领域的劳动力差距，以及 4) 创造有效性。洪水期间的灾害应对策略：协调利益相关者工作组制定协议，反映当地和州应急管理人员可以使用该奖学金的洪水地图来减轻洪水对沿海社区代表性不足人口的影响的协议。该奖项是 NSF 的法定使命通过使用基金会的智力优点和更广泛的影响审查标准进行评估，该项目被认为值得支持。