FIG Peer Review Journal


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
Corresponding author Mr. Farzad Alamdar (email: farzada[at], tel.: +61452637850)

[ abstract ] [ paper ] [ handouts ]

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


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 It is crucial for frequent updates on disaster information as outdated data would only impair disaster management efforts.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.
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