Integrating remote sensing and geographic information systems for 'fire hazard categorisation'

Bhaskaran, Sunil and Forster, Bruce and Neal, Trevor (2005) Integrating remote sensing and geographic information systems for 'fire hazard categorisation'. Geocarto International, 20 (1). pp. 43-49. ISSN 1010-6049

Abstract

The distribution of fire hazards clearly indicates a spatio-temporal irregularity that needs to be understood in order to improve emergency operations. Fire hazard categorization enables comparison of hazard in one place to another and assists in understanding these spatio-temporal variations. Current in-situ methods to categorize fire hazards are beset with some critical issues such as being too hazard focussed, lacking currency and most importantly a poor understanding of the concept of hazard. This paper demonstrates the development of a semantic model that a) leads to a better understanding of the concept of hazard by approaching it holistically and b) integrates remote sensing technology with GIS in order to generate fire hazard categories. The study is carried out for two regions Bathurst and Hornsby Shire in NSW, Australia and is the outcome of a joint project between the University of New South Wales and the New South Wales Fire Brigades (NSWFB). The NSWFB is the largest emergency organization in Australia which is primarily responsible for fire protection in the urban areas.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Awaiting information from authors.
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information
Date Deposited: 02 Feb 2010 04:49
Last Modified: 18 Dec 2013 04:21
Uncontrolled Keywords: fire hazards; hazard identification; emergency organization
Fields of Research (FOR2008): 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
05 Environmental Sciences > 0502 Environmental Science and Management > 050206 Environmental Monitoring
Socio-Economic Objective (SEO2008): D Environment > 96 Environment > 9610 Natural Hazards > 961099 Natural Hazards not elsewhere classified
Identification Number or DOI: doi: 10.1080/10106040508542335
URI: http://eprints.usq.edu.au/id/eprint/573

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