Special Section on Remote Sensing and Sensor Networks for Promoting Agro-Geoinformatics

Three-dimensional geospatial information service based on cloud computing

[+] Author Affiliations
Xi Zhai

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, No. 129 Luoyu Road, Wuhan 430079, China

Peng Yue

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, No. 129 Luoyu Road, Wuhan 430079, China

Jiangxi Normal University, Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, No. 99 Ziyang Road,  Nanchang 330022, China

Liangcun Jiang

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, No. 129 Luoyu Road, Wuhan 430079, China

Linnan Wang

Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, No. 129 Luoyu Road, Wuhan 430079, China

J. Appl. Remote Sens. 8(1), 085195 (Dec 15, 2014). doi:10.1117/1.JRS.8.085195
History: Received August 3, 2014; Accepted November 17, 2014
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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.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Xi Zhai ; Peng Yue ; Liangcun Jiang and Linnan Wang
"Three-dimensional geospatial information service based on cloud computing", J. Appl. Remote Sens. 8(1), 085195 (Dec 15, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.085195


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