Paper Info
Title
Database design for high-resolution LIDAR topography data
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.
Year
DOI
Venue
2010
10.1007/978-3-642-13818-8_12
SSDBM
Keywords
Field
DocType
high-resolution mapping technology,single partition database,relational database technology,airborne light detection,database design,large airborne lidar,binary data format,terabyte scale datasets,implementation solution,case study,lidar technology,high-resolution lidar topography data,relational database,point cloud,high resolution
Data mining,Relational database,Supercomputer,Computer science,Terabyte,Database design,Lidar,Spatial query,Point cloud,Database,Spatial database
Conference
Volume
ISSN
ISBN
6187
0302-9743
3-642-13817-9
Citations 
PageRank 
References 
5
0.86
2
Authors
3
Name
Order
Citations
PageRank
Viswanath Nandigam1336.19
Chaitan Baru210220.59
Christopher Crosby3856.15