Separation of Carbonates by Using PCA on ASTER Bands  Shahab Poursaleh Head of image processor at SSTEC (Satellite Science & Technology Engineering Co) No.750, Gozar Farvardin, 10th street, South Piroozan Street Tel: 0098-218086872-6 Email: Poursaleh@hotmail.com Abstract Concerning the importance of carbonates in mineralization and the necessity of separation of important formations in remote sensing data, we try to separate carbonates into two groups including limestone and dolomite by using PCA on ASTER SWIR bands. As you know this analysis results can be used in compiling geological maps and GIS modeling for finding the favorable potential area. Introduction The case study in this paper is in one of the biggest zinc and lead mines in the middle east, its important is due to its high volume of its resources .This mine is located in 20km of west south of Isfahan province in Iran in Longitude of 51º 32'-51º 45' and latitude of 32° 28'-32º 37' in north of Irankuh cordillera. Our purpose of this study is determine the best potential area for detail exploration, so at the first step this paper studies the important formations in mineralization by PCA analysis on ASTER images. Geology According to the figure (a): geology formations of this area includes :dolomite, limestone, marl ,river fan, shale, conglomerate and mixture of dolomite and limestone. In this figure limestone has been shown in light blue, while dolomite has been shown in red and pure limestone in deep blue. In this mine, dolomite plays an important role in mineralization, and there is a great chance to find minerals such as Siderite, Smithsonite, Barite; even small lenses in this dolomite. According to scientist’s research, both of north and south Irankuh have been formed by Meta somatic substitution in cretaceous limestone and Rastad (1981) believes that mineralization has been occurred by deposition and the type of it is stratification.
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