Remote Sensing to Identify Copper Alterations and Promising Regions, Sarbishe, South Khorasan, Iran
Journal: International Journal of Geology and Earth Sciences (Vol.4, No. 2)Publication Date: 2018-06-01
Authors : Aref Shirazi Adel Shirazy; Jalal Karami;
Page : 36-52
Keywords : Remote sensing; Image processing methods; Copper altration; Mesgaran; SAM; LS-Fit; FCC; PCA; BR;
Abstract
In order to reduce operational and field costs, remote sensing studies are used at the initial and general exploration stage. Hence, according to the identification of the Mesgaran copper ore deposit which is the copper potential in the Sarbisheh geological map (on scale 1:100,000), remote sensing methods were used to identify similar regions and to show more areas with this type of potential. In this study, due to the suitability of Aster Images to identify copper alterations various methods of remote sensing such as Band Ratios (BR), False Color Combinations (FCC), Least Square Fitting (LS-Fit), Principal Components Analysis (PCA) and finally Spectral Angle Mapper (SAM) for mapping altrations and promising regions were used. Finally, areas with mineralization and alteration were presented as maps.
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Last modified: 2018-11-30 17:51:28