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Journal of Applied Remote Sensing

Three-dimensional geospatial information service based on cloud computing
Author(s): Xi Zhai; Peng Yue; Liangcun Jiang; Linnan Wang
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Paper Abstract

Cloud computing technologies can support high-performance geospatial services in various domains, such as smart city and agriculture. Apache Hadoop, an open-source software framework, can be used to build a cloud environment on commodity clusters for storage and large-scale processing of data sets. The Open Geospatial Consortium (OGC) Web 3-D Service (W3DS) is a portrayal service for three-dimensional (3-D) geospatial data. Its performance could be improved by cloud computing technologies. This paper investigates how OGC W3DS could be developed in a cloud computing environment. It adopts the Apache Hadoop as the framework to provide a cloud implementation. The design and implementation of the 3-D geospatial information cloud service is presented. The performance evaluation is performed over data retrieval tests running in a cloud platform built by Hadoop clusters. The evaluation results provide a valuable reference on providing high-performance 3-D geospatial information cloud services.

Paper Details

Date Published: 15 December 2014
PDF: 14 pages
J. Appl. Rem. Sens. 8(1) 085195 doi: 10.1117/1.JRS.8.085195
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Xi Zhai, Wuhan Univ. (China)
Peng Yue, Wuhan Univ. (China)
Jiangxi Normal Univ. (China)
Liangcun Jiang, Wuhan Univ. (China)
Linnan Wang, Wuhan Univ. (China)

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