Multi temporal and multi spectral images based change detection of mine wastes in Northern Tunisia

Abandoned mines cause critical problems which are among the most challenging environmental ones. This is the case in Tunisia, were effects of mining activity are well illustrated particularly in Mejerda and Mellag river watersheds. Mapping is the first step for the inventory, characterization and survey of mine wastes elsewhere. Particularly, detecting changes in images of the same scene taken at different time series is of special interest in this application domain. In this context, we applied a based MAD (Multivariate Alteration Detection) transformation method for multi temporal classification and change detection of mine wastes. For these purposes we used Landsat ETM+ time-series data.