Remote Sensing
Seyedeh Sakineh Mousavi; Mehdi Honarmand; Hadi Shahriari; Mahdiye hosseinjanizadeh
Abstract
Mineral exploration in Esfandagheh area, located in south east of Kerman province is complicated due to verity of metallic deposits including volcanogenic massive sulfide copper, skarn iron, and volcanic manganese. This research was carried out with the aim of defining a model for mineral exploration ...
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Mineral exploration in Esfandagheh area, located in south east of Kerman province is complicated due to verity of metallic deposits including volcanogenic massive sulfide copper, skarn iron, and volcanic manganese. This research was carried out with the aim of defining a model for mineral exploration and providing mineral potential map using remote sensing data. ASTER and OLI images along with various image processing techniques including color composite of band ratios, principal component analysis (PCA), and QI and SI indices were applied to recognize the hydrothermal alteration halos. Result validation was done through field and laboratory studies. Argillic, phyllic, propylitic, and iron oxides/hydroxides alterations were enhanced using color composite ratios of ASTER bands like (B4+B7)/B6 in red, (B4+B6)/B5 in green, and (B7+B9)/B8 in blue. Hydrothermal alteration mapping was also accomplished using selected PCA of OLI 2, 4, 6, and 7 bands, ASTER 4 to 9 bands and a combination of OLI 2 and 4 bands along with ASTER 4 to 9 bands. ASTER thermal infrared bands applied to determine QI and SI indices for enhancing silicic halos. Mineral potential map was produced through integrating alteration maps by fuzzy logic method in which seven areas were identified such as Sargaz Kuh copper mine, Hossein Abad manganese mine, and Esfandagheh iron mine. Results showed the possibility of establishing mineral exploration model and producing mineral potential map in reconnaissance and prospecting stages using appropriate sensors and image processing techniques.
M. J. Mohammadzadeh; H. Shahinfar; A. Nasseri
Abstract
Optimization of geochemical anomalies needs an orientation survey in which one of its important aspects is selecting an advanced data processing method. The main objective of this study is to recognize the blind and mineralization zones by employment of new processing techniques in order to establish ...
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Optimization of geochemical anomalies needs an orientation survey in which one of its important aspects is selecting an advanced data processing method. The main objective of this study is to recognize the blind and mineralization zones by employment of new processing techniques in order to establish an optimized exploration tool and reliable geochemical pattern for potentially promising areas in Gulan. In this respect 233 stream sediment samples were collected and analyzed for Cu, Pb, Zn, Mo, Co, Ni, Cr, As, and Y. The anomalous zones were detected by using PCA&FCMC methods. The FCMC results revealed Cu, Mo anomalous zones in Garachilar area. It shows secondary halos separation of Cu and Mo probably due to transportation of Mo in the form of molybdates by acidic solution around outcrops, and consequently their adjoined redeposition. Application of Fuzzy logic Based FCMC shows the emplacement of Cu and Mo in the same cluster and overlapping of their anomalies which indicate their paragenetic relation in the ore bearing solution. Comparative study of the methods (FCMC&PCA) revealed some how similar results in detecting Garachilar anomalies. But the PCA results not only indicate Garachilar as promising zones but also could detect western part of Lutkeh and blind anomalies of Namnig in the same trend of NW-SE. This study indicates that geochemical pattern detected by PCA is more effective in enhancement of halos and blind anomalies than FCMC. Moreover, the characterization of geochemical pattern by PCA can be optimized more precisely in eliminating lithological effect and its results can be used successfully as prospecting tool in the area.
