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：这笔小赠款将支持与中国回居者在LIDAR主题（光检测和范围）及其在洪水灾难中的使用。 LIDAR是由美国联邦紧急事务管理局（FEMA）批准用于建设数字地形模型（DTM）和数字高程模型（DEMS）的主动传感器。 DTM和DEM以及适当的GIS数据是建造数字洪水保险率图的关键来源。 FEMA指定的LIDAR产品主要是为地面洪泛区映射应用而设计的。在这个项目中，协作工作着重于多光谱数据聚合和3D可视化。来自新奥尔良和中国Hefei的数据将被整合。研究的目的是回答以下问题：可以生成3D模型并回答相关的战略计划问题；即，给定洪水阶段，是否可以看到被洪水泛滥的区域，是否可以确定可能的破坏位置，并且是否可以确定建筑物足迹周围的水位？中国/美国团队计划解决这些问题的两项任务。首先，将开发一种方法来在“表面”上渲染摄影测量和处理的图像？从LiDAR数据中重建的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：使用信号级别的方式从如此截然不同的方式融合感官数据是一项挑战。与中国合作伙伴的合作研究将产生一种新产品，为灾难计划和响应团队提供强大而直接的工具，以估算或评估环境和经济影响。最后，对于拥有它的社区而言，LiDAR数据本身​​将成为更有价值的工具。该多学科研究团队包括三位计算机科学家和一名环境工程师。BROAD的影响：该研究以三种重要的方式为奖学金和公共政策做出了贡献：1。结果将证明可用于使用现有数据来量化当前和过去的洪泛区状态的方法。预计这对于负责环境评估和补救的州和联邦机构将很有用2。中国与美国之间的研究关系将得到加强。 3.所有司法管辖区都有可能对税收负债进行更准确的评估。