Web service based Grid workflow application in quantitative remote sensing retrieval

Liu, Longli, Xue, Yong, Zhang, Jingzun, Liu, Jia, Yu, Qicheng and Li, Chi (2014) Web service based Grid workflow application in quantitative remote sensing retrieval. In: 2014 IEEE Geoscience and Remote Sensing Symposium, 13-18 July 2014, Quebec City, Canada.


Along with the unprecedented data-collecting capability, the higher algorithm accuracy and real-time application requirements, redundant spatial computing model had been implemented. Traditionally these spatial computing models are stored in different application centers. To avoid waste of resource, Grid workflow provides a powerful tool for sharing both remote sensing data and processing middleware. In order to enhance the interoperability of the heterogeneous quantitative remote sensing retrieval model in the Grid workflow environment, we propose a web service based Grid workflow framework to improve this situation. According to the Open Geospatial Consortium (OGC) and web service standards, we implement a prototype of this framework. Through the experiment, we can find that web service can work well with Grid workflow and provide a management ability of remote sensing model. Also this approach can separate the application logic and process logic, providing the interoperability ability both in application and process layers.

Web Service Based Grid Workflow Application in Quantitative Remote Sensing Retrieval.pdf - Accepted Version

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