Integrating imaging spectroscopy (445-2543 nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney

Bhaskaran, S. and Datt, B. and Forster, B. and Neal, T. and Brown, M. (2004) Integrating imaging spectroscopy (445-2543 nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney. International Journal of Remote Sensing, 25 (13). pp. 2625-2639. ISSN 0143-1161

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Abstract

This paper demonstrates a methodology for the analysis and
integration of airborne hyperspectral sensor data (445–2543 nm) with GIS data in order to develop a vulnerability map which has the potential to assist in decision making during post-disaster emergency operations. Hailstorms pose a threat to people as well as property in Sydney, Australia. Emergency planning demands current, large-scale spatio-temporal information on urban areas that may be susceptible to hailstones. Several regions, dominated by less resistant roofing materials, have a higher vulnerability to hailstorm
damage than others. Post-disaster operations must focus on allocating dynamic resources to these areas. Remote sensing data, particularly airborne hyperspectral sensor data, consist of spectral bands with narrow bandwidths, and have the potential to quantify and distinguish between urban features such as roofing materials and other man-made features. A spectral library of surface materials from urban areas was created by using a full range spectroradiometer. The image was atmospherically corrected using the empirical line method. A spectral angle mapper (SAM) method, which is an automated method for comparing image spectra to laboratory spectra, was used to develop a classification map that shows the distribution of roofing materials with different resistances to hailstones. Surface truthing yielded high percentage accuracy. Spatial overlay
technique was performed in a GIS environment where several types of cartographic data such as special hazard locations, population density, data about less mobile people and the street network were overlaid on the classified geo-referenced hyperspectral image. The integrated database product, which merges high quality spectral information and cartographic GIS data, has vast
potential to assist emergency organizations, city planners and decision makers in formulating plans and strategies for resource management.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright 2004 Taylor & Francis Ltd
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - No Department
Date Deposited: 30 Nov 2007 11:47
Last Modified: 17 Dec 2013 07:07
Uncontrolled Keywords: decision making; disaster management; GIS; hail; image analysis; natural hazard; remote sensing; severe weather
Fields of Research : 04 Earth Sciences > 0406 Physical Geography and Environmental Geoscience > 040604 Natural Hazards
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
12 Built Environment and Design > 1204 Engineering Design > 120404 Engineering Systems Design
Socio-Economic Objective: D Environment > 96 Environment > 9610 Natural Hazards > 961010 Natural Hazards in Urban and Industrial Environments
Identification Number or DOI: 10.1080/01431160310001642331
URI: http://eprints.usq.edu.au/id/eprint/14716

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