Spokes: MEDIUM: SOUTH: Collaborative: Enhanced 3-D Mapping for Habitat, Biodiversity, and Flood Hazard Assessments of Coastal and Wetland Areas of the Southern US

辐条：中：南：协作：增强型 3D 制图，用于美国南部沿海和湿地地区的栖息地、生物多样性和洪水灾害评估

• 批准号: 1762378
• 负责人: James Gibeaut
• 金额: $ 14.2万
• 依托单位: Texas A&M University Corpus Christi
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-15 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1762378&HistoricalAwards=false
• 关键词: Spokes; MEDIUM; SOUTH; Collaborative; Enhanced

The risk to coastal populations and infrastructure from flooding due to sea level rise, severe storms, and river discharge will increase for U.S. southern states. The vision of this project is that communities occupying low-lying coastal areas of the southern US will be protected and develop in a sustainable manner through planning based on knowledge, conservation, and wise use of sensitive lands. Researchers from the University of South Florida's College of Marine Science and the School of Geosciences, Texas A&M University Corpus Christi, and Google Earth Engine are collaborating with the South Big Data Hub through this project to develop more accurate, ultra-high resolution topographic, land cover, and urban environment geospatial products. The project examines in detail areas that were directly impacted by Hurricanes Harvey and Irma in 2017, and identifies flood-prone areas across the region. The 3D maps show habitat diversity, needed to plan for conservation and development in these important ecosystems.This project will develop the improved topographic and land cover maps of the south States within 50 Km of the coast from Texas to Florida (an area 220,000 square Km). The maps will be constructed using a Big Data approach, using detailed historical airborne LiDAR (Light Detection and Ranging) data collected from airplanes merged with high spatial resolution (2 m pixel) multispectral commercial satellite imagery. The project will also include research into detailed 3D mapping of urban areas using Structure-from-Motion (SfM) methods; specifically the project will map portions of Houston/Corpus Christi in Texas, and Tampa/Saint Petersburg in Florida, using Kite Photography and light aircraft. The production of land cover maps and digital elevation models requires the fusion of very large amounts of disparate data and efficient, automated techniques. The project will develop the strategies to aggregate these data into useful products using Google Earth Engine and a High Performance Computing cluster. The project will distribute all products openly via NOAA's Digital Coastal portal.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.

由于海平面上升，严重的暴风雨和河流流量导致的沿海人口和基础设施的风险将增加美国南部州。该项目的愿景是，通过基于知识，保护和明智的敏感土地使用，将保护占领美国南部低洼沿海地区的社区，并以可持续的方式进行保护。南佛罗里达大学海洋科学学院和德克萨斯州A＆M大学Corpus Christi和Google Earth Engine的研究人员通过该项目与South Big Data Hub合作，以开发更准确，超高的分辨率地形，土地覆盖，土地覆盖和城市环境环境产品。该项目对2017年直接受到Harvey和Irma飓风直接影响的详细区域进行了研究，并确定了该地区容易洪水的地区。 3D地图显示栖息地的多样性，需要计划在这些重要的生态系统中进行保护和开发。该项目将在从德克萨斯州到佛罗里达州（面积为220,000平方公里）的海岸50公里以内的南部50公里以内的南州的地形图和陆地覆盖地图改进。这些地图将使用大数据方法构建，使用详细的历史空中雷达（光检测和范围）数据收集的数据，这些数据从与高空间分辨率（2 M Pixel）多光谱商业卫星图像合并的飞机收集。该项目还将包括使用结构 - 动作（SFM）方法进行详细的城市区域的详细3D映射的研究；具体来说，该项目将使用风筝摄影和轻型飞机来绘制德克萨斯州休斯顿/科珀斯克里斯蒂的部分以及佛罗里达州的坦帕/圣彼得堡。土地覆盖地图和数字高程模型的生产需要大量不同的数据和高效的自动化技术融合。该项目将使用Google Earth Engine和高性能计算集群制定将这些数据汇总到有用产品中的策略。该项目将通过NOAA的数字沿海门户公开分发所有产品。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，被认为值得通过评估。