Collaborative Proposal: Community Facility Support for OpenTopography -- a Cyberinfrastructure Facility for Topographic Data and Services

这项授予加州大学圣地亚哥分校的地球科学仪器和设施计划(EAR/IF)奖支持与亚利桑那州立大学(EAR-1833632)和UNAVCO，Inc.(EAR-1833643)的一个为期一年的合作项目。该合同允许继续维护和运营网络可访问的网络基础设施平台OpenTopgraph(OT)。OT提供对各种尺度的机载光探测和测距(激光雷达)地形数据和数据产品以及便携式地面激光扫描(TLS)、雷达测距和摄影测量的地形数据的基于网络的访问，以支持地表地球过程研究、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及工程学具有革命性意义，有助于研究地球表面过程(例如，与地壳变形、滑坡、河流沉积物迁移有关的地震和火山过程)、植被动力学和人类对地球表面的修改。自2009年OT成立以来，超过62,000名独立用户(注册用户和访客)运行了超过240,000个定制点云和栅格作业，处理了近4万亿个点。大多数OT数据集都是高分辨率的(1米/像素或1个样本/平方英尺米)，但OT还提供对全局栅格数据(30-100米/像素)的访问。OT目前拥有256个LiDAR点云数据集，覆盖面积约217,000平方公里。超过1万亿个点可用于按需处理和下载。在OT数据中托管的地形数据的数据获取成本估计为3000万美元。OT免费向用户分发各种产品级别的数据，并利用OT资源制作了至少290篇同行评议文章以及大量论文和其他出版物。OT利用了来自众多来源的机载激光雷达和地面激光扫描(TLS)数据集，包括EAR/IF支持的国家机载激光条带测绘设施中心(NCALM)和由NSF和外部研究项目资助的Gage设施托管的TLS仪器池部署。托管的数据还包括为EarthScope科学项目、关键区域天文台、NOAA、美国垦荒局、USGS、土地管理局、美国林业局和无数州机载LiDAR数据集和航天飞机雷达地形任务(SRTM)全球数据集飞行的机载LiDAR数据集。这种支持与NSF促进科学进步的使命是一致的，并可能通过改善公众对高分辨率数字地理参考地形数据集的获取来促进国家繁荣和福利，这些数据集应用于地质灾害评估和缓解，包括改进的洪水预报。*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 Division of Earth Sciences Instrumentation and Facilities Program (EAR/IF) award to the University of California San Diego supports a one-year collaborative project with Arizona State University (EAR-1833632) and UNAVCO, Inc (EAR-1833643). The award allows for continued maintenance and operation of a web-accessible cyberinfrastructure platform, OpenTopography (OT). OT provides web-based access to airborne light detection and ranging (lidar) topography data and data products and topographic data from portable terrestrial laser scanning (TLS), radar ranging, and photogrammetry at a range of scales in support of surface Earth process research, 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 study of Earth surface processes (e.g., earthquake and volcanic processes associated crustal deformation, landslides, riverine sediment transport), vegetation dynamics and human modification of Earth's surface. Since OT's founding in 2009, over 62,000 unique users (registered users & guests) have run over 240,000 custom point cloud and raster jobs, processing nearly 4 trillion points. Most OT data sets are high resolution (1 m/pixel or 1 sample/sq. meter) but OT also provides access to global raster data (30-100 m/pixel). OT currently holds 256 LiDAR point cloud datasets covering ~217,000 km2. More than a trillion points are available for on-demand processing and download. The cost of data acquisition for topographic data hosted within OT data have an estimated value of $30 million. OT distributes data at various product levels at no cost to users and at least 290 peer-reviewed articles along with numerous theses and other publications have been produced using OT resources. OT draws on airborne LiDAR and terrestrial laser scanning (TLS) data sets from numerous sources including the EAR/IF supported National Center for Airborne Laser Swath Mapping Facility (NCALM) and the GAGE Facility hosted TLS instrument pool deployments that are funded through NSF and external research projects. Hosted data also includes airborne LiDAR data sets flown for EarthScope science projects, Critical Zone Observatories, 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 support is congruent with NSF's 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.***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.