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

该项目将继续支持和开发OpenTopography网络基础设施平台，该平台提供基于网络的高分辨率地形，包括机载光探测和测距（激光雷达），地面激光扫描，雷达和摄影测量，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可用性对于地球和环境科学与工程来说是革命性的，有助于研究地球表面过程（例如，地震和火山，山体滑坡，河流沉积物运输），植被动力学，以及人类对地球表面的改造。该项目将加强对数据和处理工具的访问，提高效率和经济竞争力，并继续促进K-12，本科和研究生STEM教育中使用OpenTopography资源。以社区为中心的OpenTopography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，同时还通过云和高性能计算加强互操作性并确保可扩展性，以满足地球科学研究和教育界日益增长的需求。OpenTopography还将继续开展教育和培训工作，沿着开展研讨会和培训课程，并构建支持工具，如计算笔记本和可复制的工作流程。这些计算和分析将支持OpenTopography数据库的学术、教育和应用使用和再利用。该项目由地球科学部的地理信息学、地貌学和土地利用动力学项目共同资助。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值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.