Saeed Mojarad
Abstract
The study area is located in the northeast of neyriz and near the village of Ghori in Fars province. Geologically, the units of the study area are located in the zone-Sanandaj-Sirjan and with the general northwest-southeastern trend. Most of these Units calcareous units, units sericitic - chlorite schist ...
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The study area is located in the northeast of neyriz and near the village of Ghori in Fars province. Geologically, the units of the study area are located in the zone-Sanandaj-Sirjan and with the general northwest-southeastern trend. Most of these Units calcareous units, units sericitic - chlorite schist and amphibolite units up. In this research, ASTER sensor images and ground magnetometric data were used to explore and identify iron-rich regions in the study area. In this investigation, we applied methods of False Color Composite (FCC), Band Ratio (BR), Principle Component Analysis (PCA) using ASTER images and areas with severe alterations propellitic, phyllic and sericite. Using methods of ground magnetometric processing, many methods containes reduce to pole (RTP), upward continuation, Analytic Signal, Tilt Angle, Vertical Derivative were used to identify the sources and we were able to identify the edges of these anomalies. In the study area, we were able to identify four anomalies under the ground that it is very important. The results of both methods explored four anomalies. Aster imager process and magnetometric data led to primary potential mineral map of the area. For credibility of results, 52 samples were taken and analyzed by XRD methods. Five boreholes have been drilled to a depth of 140 meters and all results are consistent with each other. The methods used are important and valuable
saeed Mojarad; Ali Nejati kalate; Hameid Aghajani
Abstract
In this study, processing and interpretation methods in remote sensing such as visual and spectral analysis have been performed on the EO-1, ASTER and ETM+ data from Meshkinshahr North area, and as a result, the alteration zones in the area have been identified. Then result Aeromagnetic data, using geological ...
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In this study, processing and interpretation methods in remote sensing such as visual and spectral analysis have been performed on the EO-1, ASTER and ETM+ data from Meshkinshahr North area, and as a result, the alteration zones in the area have been identified. Then result Aeromagnetic data, using geological information, alteration and mineralization from the area. Development of advanced tools in remote sensing and geophysical exploration during recent decades indicates the necessity and importance of these tools in industry. For this purpose, a variety of image processing methods are used Aeromagnetic methods have an important role for exploration of metallic ore deposits. To achieve good results from these methods. In order to identify alteration zones, image processing methods such as PCA (principal component analysis), SAM (spectral angle mapping) and MTMF (Matched Filtering MF) using ENVI software were applied on the Hyperion EO-1, ASTER and ETM+ images from the study area. After removal of the noise from observed magnetic data, processing steps were considered, including IGRF subtraction for the proper years, reduction to pole, Signal Analytic, Tilt (TDR), THDR, and upward continuation 1000 meters. Identification of alteration zones in the study area using remote sensing and image processing methods, and interpretation of the geophysical Aeromagnetic results using geological and Mineralization and Hot Springs and Faults information in the area have been led to the identification of Alteration zone. Many Anomaly and Alterations Kaolinite and silica located in the Meshkinshahr north area (northwest Sabalan) and the other many situated in the northwest Sarab. For credibility of results, samples were taken and analyzed by XRD methods. Confirmed the results of remote sensing and aeromagnetic processes. Conclusions of this research revealed that applying concurrency both the remote sensing and aeromagnetic data could be led to improve the precision of the results.
