A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring
A Sensor Web and Web Service-Based Approach for Active Hydrological Disaster Monitoring
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一种基于传感器网络和网络服务的主动水文灾害监测方法
DOI：
10.3390/ijgi5100171
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发表时间：
2016-09
影响因子：
3.4
通讯作者：
Zhang Mingda
中科院分区：
文献类型：
--
作者：
Zhai Xi;Yue Peng;Zhang Mingda
由于地球观测传感器系统的迅速发展，产生了大量可用于水文灾害动态监测和分析的遥感数据。这些数据的管理和分析可以利用分布式信息基础设施技术，如Web服务和传感器网络技术，这些技术在促进以可互操作、灵活和按需的方式使用观测到的大数据方面显示出巨大的潜力。然而，实现对水文灾害事件的及时反应和水文灾害观测的自动化仍然是一个挑战。本文提出了一种基于传感器网络和Web服务的方法来支持主动水文灾害监测。该方法集成了事件驱动机制、Web服务和传感器网络，并利用工作流技术协调它们，以促进基于Web的水文灾害信息共享和处理。介绍了利用动态更新的传感器观测数据在Web上执行各种水文分析任务的水文Web服务的设计和实现。最后通过一个应用实例验证了该方法优于传统方法的优点。结果表明，该方法在水文灾害情况下是有效和实用的.
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.
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DOI：
10.1109/igarss.2015.7326036
发表时间：
2015-07
期刊：
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
影响因子：
--
作者：
E. Cristofori;S. Balbo;Walther Camaro;P. Pasquali;P. Boccardo;Alessandro Demarchi
通讯作者：
E. Cristofori;S. Balbo;Walther Camaro;P. Pasquali;P. Boccardo;Alessandro Demarchi
DOI：
10.3390/rs8050382
发表时间：
2016-05
期刊：
Remote. Sens.
影响因子：
--
作者：
Yunfeng Jiang;Min Sun;C. Yang
通讯作者：
Yunfeng Jiang;Min Sun;C. Yang
DOI：
10.1007/978-94-015-8680-1_3
发表时间：
1996
期刊：
--
影响因子：
--
作者：
M. Beran;N. Arnell
通讯作者：
M. Beran;N. Arnell
影响因子：
6
作者：
V. Sharma;G. S. Rao;E. Amminedu;P. V. Nagamani;A. Shukla;K. R. M. Rao;V. Bhanumurthy
通讯作者：
V. Sharma;G. S. Rao;E. Amminedu;P. V. Nagamani;A. Shukla;K. R. M. Rao;V. Bhanumurthy
影响因子：
6.4
作者：
G. Williams
通讯作者：
G. Williams