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Identification of hydrothermal alteration zones for porphyry copper and gold exploration using satellite remote sensing data

机译:利用卫星遥感数据识别斑岩铜金矿的热液蚀变带

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摘要

This study developed a new approach to extract geologic information for porphyry copper and epithermal gold exploration in the arid and semi-arid regions using combined satellite remotely sensed data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), Advanced Land Imager (ALI) and Hyperion sensors. Two copper mining districts have been selected in southeastern segment of the NW-SE trending Urumieh-Dokhtar Volcanic Belt that is located in the Tethyan Copper Belt of Iran. The performance of the principal component analysis, band ratio and minimum noise fraction methods was evaluated for ASTER and ALI data to enhance vegetation, iron oxide/hydroxide, clay minerals and lithological units. Spectral angle mapper (SAM), linear spectral unmixing (LSU), matched-filtering (MF) and mixture-tuned matched-filtering (MTMF) methods were tested on shortwave infrared (SWIR) bands of ASTER and ALI to distinguish the phyllic, argillic and propylitic alteration zones associated with porphyry copper mineralization. Analytical Imaging and Geophysics (AIG)-Developed hyperspectral analysis processing methods were used for spectral bands covering the SWIR spectral range (2.0 to 2.4 µm) of the Hyperion data for mapping predominant mineral assemblages in hydrothermal alteration zones. A field reconnaissance, X-ray diffraction (XRD) analysis and spectral reflectance measurements were performed to verify the results of the study. It is concluded that the integration of spectral information derived from ASTER, ALI and Hyperion data can produce comprehensive and accurate information for copper and gold resource investigations. This approach has a strictly regional interest to Middle Eastern economic geologists for the reconnaissance stages of exploring high economic-potential copper and gold mineralization zones in the arid and semi-arid regions.
机译:这项研究开发了一种新方法,该方法利用来自先进星载热发射和反射辐射仪(ASTER),先进陆地成像仪(ALI)的组合卫星遥感数据,提取干旱和半干旱地区斑岩铜和超热金矿的地质信息和Hyperion传感器。已在西北特斯拉走向的Urumieh-Dokhtar火山带的东南段选择了两个铜矿区,该地区位于伊朗的特提斯铜带。对ASTER和ALI数据评估了主成分分析,谱带比和最小噪声分数方法的性能,以增强植被,氧化铁/氢氧化铁,粘土矿物和岩性单元。在ASTER和ALI的短波红外(SWIR)波段上测试了光谱角映射器(SAM),线性光谱解混(LSU),匹配滤波(MF)和混合调谐匹配滤波(MTMF)方法,以区分出叶状,藻状与斑岩铜矿化有关的亚丙基蚀变带。分析成像和地球物理学(AIG)开发的高光谱分析处理方法用于处理Hyperion数据的SWIR光谱范围(2.0到2.4 µm)的光谱带,用于绘制热液蚀变带中的主要矿物组合。进行了现场侦察,X射线衍射(XRD)分析和光谱反射率测量,以验证研究结果。结论是,从ASTER,ALI和Hyperion数据得出的光谱信息的集成可以为铜和金资源调查提供全面而准确的信息。对于在干旱和半干旱地区勘探具有较高经济潜力的铜和金矿化带的勘察阶段,这种方法对中东经济地质学家而言具有严格的地区利益。

著录项

  • 作者

    Beiranvand Pour Amin;

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  • 年度 2012
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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