I-Corps: Artificial Intelligence-Empowered Flood Risk Analytics

这个I-Corps项目更广泛的影响/商业潜力是开发一种数据驱动的、基于分析的技术，用于自动化洪水风险绘图和快速损失评估。洪水灾害是美国和世界各地社区最突出的压力源，造成可怕的身体，社会和经济困难。目前，城市管理者、规划者、基础设施所有者和运营商、应急管理者以及地方和州公共机构都缺乏减轻、准备、应对和恢复洪水灾害所需的关键见解和远见。这一创新可能构成数据产品和分析解决方案的基础，为城市、地区和州各级的各种洪水恢复计划和行动提供信息。此外，该技术还可以改变决策者、应急管理者和洪水管理者的能力，使他们能够定制策略和技术，以增强应对洪水灾害的智能弹性。该I-Corps项目基于人工智能（AI）驱动的软件系统的开发，以快速自动的方式可靠准确地估计洪水造成的空间洪水风险和财产损失。该技术增强了地方/公共机构的洪水分析能力，以增强洪水风险测绘，加快洪水索赔处理，并加强资源分配。此外，该系统的目的是自动映射的最低洪水高程的财产从街景图像，并提供高分辨率和可靠的洪水风险地图的基础上检查各种水文，土地利用和建筑环境功能及其相互作用。 这项技术可以提高洪水风险测绘的可靠性和可用性，还可以提高损失评估的速度和准确性，使地方和公共机构、应急管理人员、洪水管理人员、该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的评估来支持。影响审查标准。

The broader impact/commercial potential of this I-Corps project is the development of a data-driven, analytics-based technology for automated flood risk mapping and rapid damage assessment. Flood hazards are the most prominent stressors for communities in the U.S. and across the world, causing dire physical, social, and economic hardships. Currently, city managers, planners, infrastructure owners and operators, emergency managers, and local and state public agencies are missing critical insights and foresights needed to mitigate, prepare for, respond to, and recover from flood hazards. This innovation may form the basis of data products and analytics solutions to inform various flood resilience plans and actions at city, regional, and state levels. In addition, this technology may transform the ability of decision-makers, emergency managers, and flood managers to tailor their strategies and technologies to enhance intelligent resilience in dealing with flood hazards.This I-Corps project is based on the development of an artificial intelligence (AI)-driven software system to reliably and accurately estimate spatial flood risk and property damage caused by flooding in a rapid and automated way. The technology augments the flood analytics capabilities of local/public agencies to enhance flood risk mapping, expedite flood claim processing, and enhance resource allocation. In addition, the system is designed to automatically map the lowest flood elevation of properties from street view imagery and provide high-resolution and reliable flood risk maps based on examining various hydrological, land use, and built environment features and their interactions. This technology may improve the reliability and availability of flood risk mapping and also improve the speed and accuracy of damage assessment, enabling local and public agencies, emergency managers, flood managers, and insurance companies to make more informed decisions in their flood resilience efforts.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.