Damage estimation model using temporal coherence ratio

Abstract

This paper presents a damage estimation model suitable for evaluating earthquake damage using coherence images derived from interferometric SAR data. The damage degree is estimated through temporal decorrelation by employing a coherence ratio which is defined by dividing a post-event coherence image by a pre-event image. The temporal coherence ratio is confirmed to be closely correlated with the probability of the damage degree. As a result of applying both C and L bands SAR data for evaluating the damage of the 1995 Hyogoken-Nanbu Earthquake in Japan, the cumulative probability of the damage degree can be approximated by a linear function of the coherence ratio.