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

Article


Bhaskaran, S., Datt, B., Forster, B., 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. https://doi.org/10.1080/01431160310001642331
Article Title

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

ERA Journal ID4642
Article CategoryArticle
AuthorsBhaskaran, S. (Author), Datt, B. (Author), Forster, B. (Author), Neal, T. (Author) and Brown, M. (Author)
Journal TitleInternational Journal of Remote Sensing
Journal Citation25 (13), pp. 2625-2639
Number of Pages15
Year2004
PublisherTaylor & Francis
Place of PublicationAbingdon, Oxon. United Kingdom
ISSN0143-1161
1366-5901
Digital Object Identifier (DOI)https://doi.org/10.1080/01431160310001642331
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.

Keywordsdecision making; disaster management; GIS; hail; image analysis; natural hazard; remote sensing; severe weather
ANZSRC Field of Research 2020370903. Natural hazards
401304. Photogrammetry and remote sensing
401001. Engineering design
Public Notes

Copyright 2004 Taylor & Francis Ltd

Byline AffiliationsSurveying and Land Information
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia
University of New South Wales
New South Wales Fire Brigades, Australia
Institution of OriginUniversity of Southern Queensland
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