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机构地区:[1]国土资源实物地质资料中心,燕郊065201 [2]中南大学有色金属成矿预测教育部重点实验室,长沙410083
出 处:《国土资源遥感》2014年第2期154-161,共8页Remote Sensing for Land & Resources
基 金:中国地质调查局地质调查项目"国家级岩心标本采集及数字化"(编号:1212011120404);湖南省科技资助计划博士后专项(编号:2012RS4047)共同资助
摘 要:青海三江北段是我国重要的多金属成矿区带,具有形成大型、特大型金属矿床的赋存条件及地质背景。纳日贡玛矿床是该区带中最为典型的斑岩型Cu–Mo矿床。针对斑岩型矿床的典型蚀变分带特征,利用ASTER数据,采用Crosta技术和比值法进行高岭石化、青磐岩化、黄铁矿化和硅化等遥感蚀变异常信息的提取;通过对ASTER和QuickBird图像的遥感解译,获得花岗斑岩体和断裂构造的空间分布图;根据纳日贡玛矿床的成矿规律和控矿要素,利用遥感数据获得的找矿预测因子,圈定了8个具有良好找矿前景的遥感找矿预测区,并总结出纳日贡玛的遥感蚀变异常分带规律,可为三江北段成矿带中其他斑岩型Cu–Mo矿床的找矿勘查提供重要参考信息。The North Sanjiang metallogenic belt in Qinghai Province has excellent metallogenic conditions and geological background to form large or superlarge metal deposits, and Narigongma is the most typical porphyry Cu-Mo deposit in this region. Based on the typical characteristics of alteration zoning of the porphyry Cu-Mo deposit and using the ASTER data,the authors extracted the remote sensing alteration anomaly information of kaolinization, propylitization,pyritization and silicification by using Crosta technology and band ratio method. The distribution map of granite porphyry and faults was obtained on the basis of remote sensing interpretation of the ASTER and QuickBird images. According to the metallogenic regularity and ore-controlling factors of the Narigongma deposit, eight mineral prediction areas were delineated based on the mineral predictive factors derived from remote sensing data. The remote sensing characteristics of alteration zoning of Narigongma can provide important reference information for the exploration of porphyry Cu-Mo deposits in the North Sanjiang metallogenic belt.
关 键 词:斑岩型Cu-Mo矿床 蚀变分带 Crosta技术 找矿预测 纳日贡玛
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