Disaster rapid mapping of burnt area using relative radiometric correction from multi-temporal satellite images

In the present study, we focus on the disaster rapid mapping of burnt area in South part of Australia from multi-temporal satellite image processing based on relative radiometric correction. Multi-temporal scenes from Landsat 5 satellite were processed using the Multivariate Alteration Detection (MAD) method which has a particular advantage of selecting PIFs (Pseudo Invariant Features) automatically by canonical correlation analysis. This method is proposed for the automatic extraction of changed areas after the forest fire using relatively normalized reflectance via MAD method done within a high accuracy level. In addition, the relative correction of multi-temporal satellite imagery produced better results to rapidly map disaster-affected areas with an increased confidence level when comparing with ordinary image difference method.