Collaborative Research: OpenTopography - A cyberinfrastructure facility for advancing geoscience research and education

该项目将继续支持和开发OpenTopgraph网络基础设施平台，该平台提供从机载光探测和测距(激光雷达)、地面激光扫描、雷达和摄影测量等各种尺度的高分辨率地形的基于网络的访问，以支持地表地球过程研究、培训和教育。高分辨率数字地形数据和浅水测深数据的提供对地球和环境科学和工程学具有革命性意义，有助于研究地球表面过程(如地震和火山、滑坡、河流沉积物输送)、植被动力学和人类对地球表面的修改。该项目将加强对数据和处理工具的获取，从而提高效率和经济竞争力，此外，还将继续促进在K-12、本科生和研究生STEM教育中使用开放地形资源。以社区为重点的开放地形数据设施将继续增加社区可用的高分辨率地形数据量，并扩大数据访问途径和处理工具，同时还将通过云和高性能计算加强互操作性和确保可伸缩性，以满足地球科学研究和教育界日益增长的需求。OpenTopgraph还将继续其教育和培训工作，举办研讨会和培训课程，并建立支持工具，如计算笔记本和可重复使用的工作流程。这些计算和分析将支持开放地形数据的学术、教育和应用使用和再利用。详细的使用指标将被捕获，以展示数据的资源和投资回报的影响。该项目由地球信息学和地球科学部的地貌学和土地利用动力学计划联合资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

This project will continue support and development of the OpenTopography cyberinfrastructure platform that provides web-based access to high resolution topography from airborne light detection and ranging (lidar), terrestrial laser scanning, radar, and photogrammetry at a range of scales in support of surface Earth process research, training, and education. The availability of high resolution digital topographic data and shallow water bathymetric data has been revolutionary for Earth and environmental sciences and engineering, contributing to the study of Earth surface processes (e.g., earthquakes and volcanos, landslides, riverine sediment transport), vegetation dynamics, and human modification of the Earth's surface. This project will enhance access to data and processing tools that improve efficiency and economic competitiveness, in addition to continuing to facilitate the use of OpenTopography resources in K-12, undergraduate, and graduate STEM education. The community-focused OpenTopography data facility will continue to grow the amount of high resolution topography data available to the community and expand data access pathways and processing tools, while also strengthening interoperability and ensuring scalability via cloud and high performance computing in order to meet the growing demands of the Earth science research and education community. OpenTopography will also continue its education and training efforts by conducting workshops and training courses along with building supporting tools like computational notebooks and reproducible workflows. These computations and analyses will support academic, educational, and applied use and reuse of the OpenTopography data holdings. Detailed usage metrics will be captured to demonstrate the impact of the resource and return on investment of the data.This project is jointly funded by the Geoinformatics and the Geomorphology and Land Use Dynamics programs in the Division of Earth Sciences.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.