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ISPRS Int. J. Geo-Inf. 2019, 8(1), 12; https://doi.org/10.3390/ijgi8010012

Distributed Geoscience Algorithm Integration Based on OWS Specifications: A Case Study of the Extraction of a River Network

1
School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Engineering Research Center of Geospatial Information and Digital Technology, NASG, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
3
Center for Spatial Information Science and Systems, George Mason University, Fairfax, VA 22030, USA
4
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
5
School of Resources & Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
6
College of Geography and Environment, Shandong Normal University, Jinan 250014, China
7
Beijing Key Laboratory of Urban Spatial Information Engineering, 15 Yangfangdian Road, Beijing 100038, China
*
Authors to whom correspondence should be addressed.
Received: 25 September 2018 / Revised: 18 December 2018 / Accepted: 23 December 2018 / Published: 28 December 2018
(This article belongs to the Special Issue Open Science in the Geospatial Domain)
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Abstract

To understand and solve various natural environmental problems, geoscience research activities are becoming increasingly dependent on the integration of knowledge, data, and algorithms from scientists at different institutes and with multiple perspectives. However, the facilitation of these integrations remains a challenge because such scientific activities require gathering numerous geoscience researchers to provide data, knowledge, algorithms, and tools from different institutes and geographically distributed locations. The pivotal issue that needs to be addressed is the identification of a method to effectively combine geoscience algorithms in a distributed environment to promote cooperation. To address this issue, in this paper, a scheme for building a distributed geoscience algorithm integration based on the Open Geospatial Consortium web service (OWS) specifications is proposed. The architecture of the geoscience algorithm integration, algorithm service management mechanism, XML description method for algorithm integration, and integrated model execution strategy are designed and implemented. The experiment implements the integration of geoscience algorithms in a distributed cloud environment and evaluates the feasibility and efficiency of the integrated geoscience model. The proposed method provides a theoretical basis and practical guidance for promoting the integration of distributed geoscience algorithms; this approach can help to aggregate the distributed geoscience capabilities to address natural challenges. View Full-Text
Keywords: OGC web service; geospatial service; geoscience algorithm; distributed algorithm integration OGC web service; geospatial service; geoscience algorithm; distributed algorithm integration
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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 (CC BY 4.0).
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Tan, X.; Di, L.; Zhong, Y.; Chen, N.; Huang, F.; Wang, J.; Sun, Z.; Khan, Y.A. Distributed Geoscience Algorithm Integration Based on OWS Specifications: A Case Study of the Extraction of a River Network. ISPRS Int. J. Geo-Inf. 2019, 8, 12.

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