Development of a Sensor Web-Based Disaster Decision Support System for Integrating Multi-Agency Sensor Information (7991) |
Farzad Alamdar, Mohsen Kalantari and Abbas Rajabifard (Australia) |
Mr. Farzad Alamdar P.hD. Candidate The University of Melbourne Level 4, Walter Boas Building, Grattan Street, Parkville VIC 3010, Australia Melbourne 3010 Australia
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Corresponding author Mr. Farzad Alamdar (email: farzada[at]student.unimelb.edu.au, tel.: +61452637850) |
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[ abstract ] [ paper ] [ handouts ] |
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Published on the web 2016-03-01 Received 2015-11-10 / Accepted 2016-02-01 |
This paper is one of selection of papers published for the FIG Working Week 2016 in Christchurch, New Zealand and has undergone the FIG Peer Review Process. |
FIG Working Week 2016 ISBN 978-87-92853-52-3 ISSN 2307-4086 http://www.fig.net/resources/proceedings/fig_proceedings/fig2016/index.htm
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Abstract |
The required information for managing and responding to rapid-onset disasters such as floods, storms and bushfires needs to be time-sensitive and highly dynamic. It is crucial for frequent updates on disaster information as outdated data would only impair disaster management efforts. At present, sensors turn into a very important source of real-time information. A great variety of live data with potential for supporting disaster management can be observed by diverse types of already deployed sensors in an urban area. However, these multi-sourced sensor data are produced independently by disconnected sensor data producers. In this study, we investigate the process of integrating multi-agency sensor-derived information for supporting disaster management. The research assesses Australia’s activities as the case study in disaster management of a flood by emphasizing on the response phase. This paper first identifies the real-time sensor information flow and the existing issues, thereby it proposes a new approach to overcoming these integration issues. Afterward, on the basis of the designed approach, IDDSS-Sensor is developed which is a GIS-based disaster decision support system that provides the functions for standard-based access, exchange and usage of multi-vendor sensor information. |
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Keywords: Standards; Geoinformation/GI; Risk management; Low cost technology; Multi-agency, Disaster management, Sensor information integration, In situ sensing, OGC Sensor Web Enablement, Sensor web services |