A Scalable Infrastructure for Lidar Topography Data Distribution, Processing, and Discovery
Abstract
High-resolution topography data acquired with lidar (light detection and ranging) technology have emerged as a fundamental tool in the Earth sciences, and are also being widely utilized for ecological, planning, engineering, and environmental applications. Collected from airborne, terrestrial, and space-based platforms, these data are revolutionary because they permit analysis of geologic and biologic processes at resolutions essential for their appropriate representation. Public domain lidar data collection by federal, state, and local agencies are a valuable resource to the scientific community, however the data pose significant distribution challenges because of the volume and complexity of data that must be stored, managed, and processed. Lidar data acquisition may generate terabytes of data in the form of point clouds, digital elevation models (DEMs), and derivative products. This massive volume of data is often challenging to host for resource-limited agencies. Furthermore, these data can be technically challenging for users who lack appropriate software, computing resources, and expertise. The National Science Foundation-funded OpenTopography Facility (www.opentopography.org) has developed a cyberinfrastructure-based solution to enable online access to Earth science-oriented high-resolution lidar topography data, online processing tools, and derivative products. OpenTopography provides access to terabytes of point cloud data, standard DEMs, and Google Earth image data, all co-located with computational resources for on-demand data processing. The OpenTopography portal is built upon a cyberinfrastructure platform that utilizes a Services Oriented Architecture (SOA) to provide a modular system that is highly scalable and flexible enough to support the growing needs of the Earth science lidar community. OpenTopography strives to host and provide access to datasets as soon as they become available, and also to expose greater application level functionalities to our end-users (such as generation of custom DEMs via various gridding algorithms, and hydrological modeling algorithms). In the future, the SOA will enable direct authenticated access to back-end functionality through simple Web service Application Programming Interfaces (APIs), so that users may access our data and compute resources via clients other than Web browsers. In addition to an overview of the OpenTopography SOA, this presentation will discuss our recently developed lidar data ingestion and management system for point cloud data delivered in the binary LAS standard. This system compliments our existing partitioned database approach for data delivered in ASCII format, and permits rapid ingestion of data. The system has significantly reduced data ingestion times and has implications for data distribution in emergency response situations. We will also address on ongoing work to develop a community lidar metadata catalog based on the OGC Catalogue Service for Web (CSW) standard, which will help to centralize discovery of public domain lidar data.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2010
- Bibcode:
- 2010AGUFMIN32A..05C
- Keywords:
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- 1824 HYDROLOGY / Geomorphology: general;
- 1908 INFORMATICS / Cyberinfrastructure;
- 1926 INFORMATICS / Geospatial;
- 1928 INFORMATICS / GIS science