SGER: US/China Digital Government Collaboration: A New Tool for Economic and Environmental Planning - Expanding the Boundaries of LiDAR

SGER：中美数字政府合作：经济和环境规划的新工具 - 拓展激光雷达的边界

• 批准号: 0737861
• 负责人: Bill Buckles
• 金额: --
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2009-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0737861&HistoricalAwards=false
• 关键词: SGER; US; China; Digital; Government

Background:This small grant will support an initial collaboration with a Chinese reseaercher on the topic of LiDAR (Light Detection And Ranging) and its use in flood disasters. LiDAR is an active sensor approved by the US Federal Emergency Management Agency (FEMA) for construction of digital terrain models (DTMs) and digital elevation models (DEMs). DTMs and DEMs, together with appropriate GIS data, are key sources for the construction of digital flood insurance rate maps. FEMA-specified LiDAR products are primarily designed for terrestrial floodplain mapping applications. In this project, the collaborative work focuses on multispectral data aggregation and 3D visualization. Data from New Orleans and from Hefei China will be integrated. The goal of the research is to answer the following question: Can 3D models be generated and related strategic planning questions answered; i.e., given a flood stage, can the flooded area be visualized, can possible breaching locations be identified, and can elevations of water around building footprints be determined? The China/US team plan two tasks to address these questions. First, a method will be developed to render photogrammetric and processed images over the ?surface? of the reconstructed 3D model from LiDAR data. The second task will be to develop an integrated visualization tool.Intellectual Merit: Fusing sensory data from such vastly different modalities using signal-levelmethods is challenging. The collaborative research with the Chinese partner will result in a new product that provides a powerful and straightforward tool for disaster planning and response teams to estimate or evaluate environmental and economic impacts. Finally, LiDAR data itself will become a much more valuable tool for the communities that possess it. This multi-disciplinary research team includes three computer scientists and an environmental engineer.Broad Impacts: The research contributes to scholarship and public policy in three significant ways:1. the results will demonstrate methods which are available for quantifying present and past floodplain states using extant data. It is expected that this will be useful to state and federal agencies responsible for environmental assessment and remediation.2. research ties between China and the US will be strengthened. 3.there is the possibility of more accurate assessment of tax liabilities by all jurisdictions.

背景：这笔小额赠款将支持与一家中国研究机构就LiDAR(光探测和测距)及其在洪灾中的使用展开初步合作。激光雷达是美国联邦紧急事务管理局(FEMA)批准的一种主动传感器，用于构建数字地形模型(DTM)和数字高程模型(DEM)。数字地面模型和数字高程模型，加上适当的地理信息系统数据，是构建数字洪水保险费率图的关键来源。FEMA指定的LiDAR产品主要用于陆地泛滥平原测绘应用。在本项目中，合作工作的重点是多光谱数据聚合和三维可视化。来自新奥尔良和合肥中国的数据将被整合。这项研究的目标是回答以下问题：能否生成3D模型并回答相关的战略规划问题；即，给定洪水阶段，能否可视化洪水泛滥的区域，能否识别可能的泄洪点，以及能否确定建筑物足迹周围的水位？中国/美国团队计划了两项任务来解决这些问题。首先，将开发一种方法来在表面上渲染摄影测量和处理后的图像。从LiDAR数据重建的3D模型。第二个任务将是开发一个集成的可视化工具。智能优点：使用信号级方法融合来自如此巨大不同模式的感觉数据是具有挑战性的。与中国合作伙伴的合作研究将产生一种新产品，为灾难规划和应对团队提供强大而直接的工具，以估计或评估环境和经济影响。最后，LiDAR数据本身将成为拥有它的社区的一个更有价值的工具。这个多学科的研究团队包括三名计算机科学家和一名环境工程师。广泛影响：这项研究在三个重要方面为学术和公共政策做出了贡献：1.结果将展示利用现有数据量化现在和过去的泛滥平原状态的方法。预计这将对负责环境评估和补救的州和联邦机构有用。中国和美国之间的研究联系将得到加强。3.所有司法管辖区都有可能更准确地评估纳税义务。