OpenTopography: a services oriented architecture for community access to LIDAR topography
OpenTopography: a services oriented architecture for community access to LIDAR topography
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OpenTopography：面向服务的架构，用于社区访问 LIDAR 地形
DOI：
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发表时间：
2011
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通讯作者：
R. Arrowsmith
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文献类型：
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作者：
S. Krishnan;C. Crosby;V. Nandigam;M. Phan;C. Cowart;C. Baru;R. Arrowsmith
利用激光雷达（Light Detection and Ranging，LIDAR）遥感技术获取的高分辨率地形数据已成为地球科学研究的基本工具。由于这些数据的获取往往是用联邦和州的资金以高昂的成本进行的，因此必须通过向一系列潜在用户提供在线访问来最大限度地发挥这些地理空间数据的影响。美国国家科学基金会资助的OpenTopography Facility托管在圣地亚哥超级计算机中心（SDSC），已经开发了一个地理空间网络基础设施（GCI），以实现在线访问面向地球科学的高分辨率LIDAR地形数据，在线处理工具和衍生产品。利用SDSC提供的高性能计算和数据存储资源，OpenTopography提供对TB级点云数据、标准数字高程模型和Google Earth图像数据的访问，所有这些都与计算资源位于同一位置，以进行更高级别的数据处理。本文描述了OpenTopography实现的面向服务的架构（SOA）和底层网络基础设施平台的动机、目标和技术细节。SOA的使用以及处理和数据资源的共址是LIDAR地形数据处理领域所独有的，为提供一个开放系统以托管和提供对这些重要科学数据的数据和计算工具的访问奠定了基础，并且是类似的大型地理空间数据和处理面向社区的网络基础设施系统的典范。
High-resolution topography data acquired with LIDAR (Light Detection and Ranging) remote sensing technology have emerged as a fundamental tool for Earth science research. Because these acquisitions are often undertaken with federal and state funds at significant cost, it is important to maximize the impact of these geospatial data by providing online access to a range of potential users. The National Science Foundation-funded OpenTopography Facility hosted at the San Diego Supercomputer Center (SDSC), has developed a Geospatial Cyberinfrastructure (GCI) to enable online access to Earth science-oriented high-resolution LIDAR topography data, online processing tools, and derivative products. Leveraging high performance computational and data storage resources available at SDSC, OpenTopography provides access to terabytes of point cloud data, standard digital elevation models, and Google Earth image data, all co-located with computational resources for higher-level data processing. This paper describes the motivation, goals, and the technical details of the Services Oriented Architecture (SOA) and underlying cyberinfrastructure platform implemented by OpenTopography. The use of an SOA, and the co-location of processing and data resources are unique to the field of LIDAR topography data processing, and lays a foundation for providing an open system for hosting and providing access to data and computational tools for these important scientific data, and is an exemplar for similar large geospatial data and processing community-oriented cyberinfrastructure systems.