Evaluation of Structural Patterns and Related Alteration and Mineralization Zones by Using ASAR-ASTER Imagery in Siyahrood Area (East Azarbaijan—NW Iran) — Oak Academic Publishing
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Evaluation of Structural Patterns and Related Alteration and Mineralization Zones by Using ASAR-ASTER Imagery in Siyahrood Area (East Azarbaijan—NW Iran)
Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
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Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
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Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
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Department of Geology, Science and Research Branch, Islamic Azad University, Tehran, Iran
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Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
1 Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
2 Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
3 Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
4 Department of Geology, Science and Research Branch, Islamic Azad University, Tehran, Iran
5 Department of Geology, North Tehran Branch, Islamic Azad University, Tehran, Iran
The NW part of Iran belongs to the Iranian plateau that is a tectonically active region within the Alpine-Himalayan orogenic belt. The intrusion of Oligocene parts in various faces caused the alteration and mineralization such as copper, molybdenum, gold and iron in the Siyahrood area. Granitoidic rocks with component of Granodiorite to alkali have been influenced by hydrothermal fluids. Alteration zones are important features for the exploration of deposits and the ASTER sensor is able to identify the type of alteration and its alteration zoning. This method can be a useful tool for detecting potential mineralization area in East Azarbaijan—Northwest of Iran. The purpose of this study is to evaluate ASTER data for mapping altered minerals in Siyahrood area in order to detect the potential mineralized areas. In this study, false color composite, and band ratio techniques were applied on ASTER data and argillic, phyllic, Iron oxide and propylitic alteration zones were separated. ASAR image processing has been used for lineaments and faults identified by the aid of directional filter. The structural study focused on fracture zones and their characteristics including strike, length, and relationship with alteration zones. The results of this study demonstrate the usefulness of remote sensing methods and ASTER multi-spectral data for alteration, and ASAR data are useful for lineament mapping.
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