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A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring

1,2, 3,4,* and 1
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
Collaborative Innovation Center of Geospatial Technology, 129 Luoyu Road, Wuhan 430079, China
Author to whom correspondence should be addressed.
Academic Editors: Silvia Nittel and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(10), 171;
Received: 27 May 2016 / Revised: 13 September 2016 / Accepted: 21 September 2016 / Published: 24 September 2016
(This article belongs to the Special Issue Geosensor Networks and Sensor Web)
PDF [5832 KB, uploaded 24 September 2016]


Rapid advancements in Earth-observing sensor systems have led to the generation of large amounts of remote sensing data that can be used for the dynamic monitoring and analysis of hydrological disasters. The management and analysis of these data could take advantage of distributed information infrastructure technologies such as Web service and Sensor Web technologies, which have shown great potential in facilitating the use of observed big data in an interoperable, flexible and on-demand way. However, it remains a challenge to achieve timely response to hydrological disaster events and to automate the geoprocessing of hydrological disaster observations. This article proposes a Sensor Web and Web service-based approach to support active hydrological disaster monitoring. This approach integrates an event-driven mechanism, Web services, and a Sensor Web and coordinates them using workflow technologies to facilitate the Web-based sharing and processing of hydrological hazard information. The design and implementation of hydrological Web services for conducting various hydrological analysis tasks on the Web using dynamically updating sensor observation data are presented. An application example is provided to demonstrate the benefits of the proposed approach over the traditional approach. The results confirm the effectiveness and practicality of the proposed approach in cases of hydrological disaster. View Full-Text
Keywords: hydrological disaster monitoring; geospatial Web service; sensor Web; geoprocessing workflow hydrological disaster monitoring; geospatial Web service; sensor Web; geoprocessing workflow

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Zhai, X.; Yue, P.; Zhang, M. A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring. ISPRS Int. J. Geo-Inf. 2016, 5, 171.

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