Hail storm vulnerability assessment by using hyperspectral remote sensing and GIS techniques

Describes a methodology which uses hyperspectral remote sensing data and cartographic GIS data for assessing and mapping the vulnerability from hail storm disaster in Sydney, Australia. By collecting urban surface material samples, mainly comprising roof types, a spectral library was created under artificial illumination using a spectroradiometer. The reference spectra was resampled and forced to the Hymap image spectra by the empirical line calibration method. A spatial distribution map showing vulnerable areas to hail storm hazard was generated by the spectral angle mapper method in near real time. This database upon integration with available cartographic data has the potential to develop into a powerful decision support system for emergency organisations. Results out of this study show great potential in hyperspectral applications and mapping for emergency planning