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Discrimination of Different Erosion Levels of Porphyry Cu Deposits using ASTER Image Processing in Eastern Iran: a Case Study in the Maherabad, Shadan, and Chah Shaljami Areas
Author(s) -
KARIMPOUR Mohammad Hassan,
MAZHARI Nazi,
SHAFAROUDI Azadeh Malekzadeh
Publication year - 2014
Publication title -
acta geologica sinica ‐ english edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 61
eISSN - 1755-6724
pISSN - 1000-9515
DOI - 10.1111/1755-6724.12283
Subject(s) - geology , epidote , advanced spaceborne thermal emission and reflection radiometer , porphyry copper deposit , alunite , geochemistry , mineralogy , sericite , quartz , hydrothermal circulation , remote sensing , chlorite , seismology , fluid inclusions , digital elevation model , paleontology
The Lut block, eastern Iran, is one of the most extensive Cenozoic magmatic rocks, that show suitable targets for porphyry Cu‐Au and high‐sulfidation epithermal Au related to porphyry Cu‐Au mineralization. In this study, Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) was used to identify different erosion levels of three porphyry Cu deposits, including Maherabad, Shadan, and Chah Shalj ami, located in the Lut block volcanic‐plutonic belt. Alteration minerals, including kaolinite, dickite, alunite, jarosite, epidote, chlorite, montmorillonite, muscovite, biotite, orthoclase, gypsum, and quartz, are selected to map different alteration zones and erosion levels. Distributions of end‐members are mapped by using the SAM and MTMF in VNIR and SWIR of ASTER bands and the results are evaluated against the field studies. For some end‐members, the results of SAM processing are more reliable compared to the MTMF because the latter looses field spectra. The use of angle threshold in the SAM, and MF‐score and infeasibility value in the MTMF or low abundance of some end‐members, and finally comparison of output images of spectral processing show good correlation with alteration maps. Differentiation and explanation of various erosion levels of porphyry Cu deposits are done successfully by using the ASTER sensor data.