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The Scientific World Journal
Volume 2014, Article ID 354919, 13 pages
Research Article

A Framework for Sharing and Integrating Remote Sensing and GIS Models Based on Web Service

Zeqiang Chen,1,2,3 Hui Lin,1,3,4 Min Chen,1,3 Deer Liu,1,5 Ying Bao,1,6 and Yulin Ding1,7

1Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong
2Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, Wuhan 430079, China
3Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China
4Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong
5Faculty of Architectural and Survey Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
6International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
7State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

Received 11 January 2014; Accepted 27 February 2014; Published 11 May 2014

Academic Editors: P. Bala, P. Ji, and S. Xiang

Copyright © 2014 Zeqiang Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Sharing and integrating Remote Sensing (RS) and Geographic Information System/Science (GIS) models are critical for developing practical application systems. Facilitating model sharing and model integration is a problem for model publishers and model users, respectively. To address this problem, a framework based on a Web service for sharing and integrating RS and GIS models is proposed in this paper. The fundamental idea of the framework is to publish heterogeneous RS and GIS models into standard Web services for sharing and interoperation and then to integrate the RS and GIS models using Web services. For the former, a “black box” and a visual method are employed to facilitate the publishing of the models as Web services. For the latter, model integration based on the geospatial workflow and semantic supported marching method is introduced. Under this framework, model sharing and integration is applied for developing the Pearl River Delta water environment monitoring system. The results show that the framework can facilitate model sharing and model integration for model publishers and model users.