A generalization of the SMA approach for tailing spectrum modeling in Tunisian semi-arid context

Field spectral data, measured on the ground by a spectroradiometer are very important and needed for tailing classification. The Spectral Modeling Approach SMA based on library reflectance´s fusion is an optimal solution in absence of field data. In this study, we give a generalization of the approach we developed in [5]; [6] for other types of mine in Tunisia. The main contribution is to estimate the tailing components´ spectral reflectance by direct means. This allows us to replace the lack of the field data needed for mine tailing mapping. Thus, we can generate tailing maps from multispectral data particularly those acquired in the previous date. The results indicate that SMA can be applied successfully.