Collaborative Research: OpenTopography: A Cyberinfrastructure Facility for Topographic Data, Services, and Knowledge

该地理信息学奖授予加州大学圣地亚哥分校，支持与亚利桑那州立大学和UNAVCO公司合作的一个多年项目。该项目计划将改进和完善最初由NSF/EAR、NSF/OCI和NSF/CISE （EAR-0930731/EAR-0930643和EAR-1226353）联合支持的OpenTopography光探测和测距（LiDAR）数据服务门户网站的功能。这些努力将包括开发增强的互操作性，提供更广泛的处理和数据服务套件，通过云和高性能计算提高可伸缩性，以及通过短期课程和劳动力发展提供外联和用户支持。OpenTopography （OT）旨在允许用户基于网络访问激光雷达生成的高分辨率地形数据集和分析工具，以支持地表地球过程研究、研究培训和教育。包括地貌学、水文学、冰川学、火山学和新构造学在内的广泛的地球科学领域已经并将继续受益于OT数据和工具。OT的持续开发工作将扩展处理全波形激光雷达、TLS数据和测深数据的能力，以及继续接收现有机载激光雷达和地面激光扫描（TLS）数据集，这些数据集来自多个来源，包括国家机载激光测绘设施中心（NCALM）、UNVACO托管的TLS仪器库、NOAA、美国垦务局、美国地质调查局、土地管理局、美国林业局和许多州机载激光雷达数据集以及航天飞机雷达地形任务（SRTM）全球数据集。这项工作将扩大用激光和摄影测量技术在一系列尺度上收集的地形数据，并持续强调高分辨率地形（HRT； 1米/像素）。目前OT？目前，快速增长的数据储备包括186个激光雷达点云数据集（8290亿个点），覆盖180122平方公里。OT用户社区已经发展到超过8100个注册用户，47,000多个点云处理工作已经访问了超过1.6万亿的激光雷达返回。这种支持与国家科学基金会促进科学进步的使命是一致的，并且可以通过改善公众获取高分辨率数字地理参考地形数据集来促进国家的繁荣和福祉，并应用于地质灾害评估和减灾，包括改进洪水预报

This Geoinformatics award to the University of California San Diego supports a multi-year project that is collaborative with Arizona State University and UNAVCO, Inc. The project plan will improve upon and refine the capabilities of the OpenTopography Light Detection and Ranging (LiDAR) data services web portal that was initially jointly supported by NSF/EAR, NSF/OCI and NSF/CISE (EAR-0930731/EAR-0930643 and EAR-1226353). Efforts will entail development of strengthened interoperability, provision of a broadened suite of processing and data services, improved scalability via cloud and high performance computing, and provision of outreach and user support through short courses and workforce development. OpenTopography (OT) was designed to allow users web-based access Lidar generated high resolution topographic data sets and analysis tools in support of surface Earth process research, research training and education. A wide range of Earth Science fields including geomorphology, hydrology, glaciology, volcanology and neotectonics, have benefitted and will continue to benefit from OT data and tools. Continued development efforts for OT will expand capabilities to handle full waveform LiDAR, TLS data and bathymetric data as well as the continued ingestion of extant airborne LiDAR and terrestrial laser scanning (TLS) data sets from numerous sources including the National Center for Airborne Laser Swath Mapping Facility (NCALM), the UNVACO hosted TLS instrument pool, NOAA, US Bureau of Reclamation, USGS, Bureau of Land Management, the US Forest Service and numerous state airborne LiDAR data sets and Space Shuttle Radar Topography Mission (SRTM) global datasets. This work will expand topographic data collected with laser and photogrammetric technologies at a range of scales with a sustained emphasis on high-resolution topography (HRT; 1m/pix). At present OT?s rapidly growing data holdings currently include 186 LiDAR point cloud datasets (829 billion points) covering 180,122 km2. The OT user community has grown to over 8,100 registered users and more than 47,000 point cloud processing jobs have accessed over 1.6 trillion LiDAR returns. This support is congruent with NSFs mission of promoting the progress of science and may advance the national prosperity and welfare through improved public access to high resolution digital georeferenced topographic data sets with applications to geohazards assessment and mitigation including improved flood forecasting.***