Integrating imaging spectroscopy (445-2543 nm) and geographic information systems for post-disaster management: a case of hailstorm damage in Sydney
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.
Document Type: Research Article
Affiliations: 1: Faculty of Engineering and Surveying University of Southern Queensland Toowoomba, Queensland 4350 Australia, Email: [email protected] 2: Office of Space Science & Applications and Earth Observation Centre, CSIRO Sydney Australia 3: School of Surveying and Spatial Information Systems University of New South Wales Australia 4: Corporate Strategy Division New South Wales Fire Brigades Sydney Australia
Publication date: 01 July 2004
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