Abstract
For quick estimation of damage building ratio due to earthquakes occurred in Peru using L-band Synthetic Aperture Radar (SAR) imagery, a regression discriminant function that uses differences and correlations of the backscattering coefficient as explanatory variables and a likelihood function for severe damage ratio were developed based on the dataset of ALOS/PALSAR images observed the 2007 Peru earthquake and the detailed field survey data of Pisco city. We also investigated the effects of pixel-window size for calculating two variables in evaluating building damage. From the analysis, an optimum window size for the damage evaluation was obtained. Finally, the model which integrates the fragility functions of building damage in terms of seismic intensity and proposed likelihood function from ALOS images was introduced.
