Database design for high-resolution LIDAR topography data

Authors:
Viswanath Nandigam;Chaitan Baru;Christopher Crosby
Affiliations:
San Diego Supercomputer Center, University of California San Diego;San Diego Supercomputer Center, University of California San Diego;San Diego Supercomputer Center, University of California San Diego
Venue:
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
Year:
2010

Citing 1
Cited 2

DB2 Spatial Extender - Spatial data within the RDBMS

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OpenTopography: a services oriented architecture for community access to LIDAR topography

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LiDAR data management pipeline; from spatial database population to web-application visualization

Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications

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Abstract

The advent of high-resolution mapping technologies such as airborne Light Detection and Ranging (LIDAR) has revolutionized the study of processes acting on the earth's surface. However, the massive volumes of data produced by LIDAR technology pose significant technical challenges in terms of the management and web-based distribution of these datasets. This paper provides a case study in the use of relational database technology for serving large airborne LIDAR "point cloud" datasets, as part of the National Science Foundation funded OpenTopography facility. We have experimented with the use of spatial extensions in the database as well as implementation solutions from a single partition database on a supercomputer resource to a multi-partition implementation on a shared-nothing commodity cluster for management of these terabyte scale datasets. We also describe future directions being pursued to support binary data formats and for scaling to larger system configurations.