独文惠, 王功文, 陈永清, 郭娜娜, 郝应龙, 冯源. 2015: 基于ETM+数据和GIS 技术的缅甸铜金矿成矿预测. 地质通报, 34(4): 786-791.
    引用本文: 独文惠, 王功文, 陈永清, 郭娜娜, 郝应龙, 冯源. 2015: 基于ETM+数据和GIS 技术的缅甸铜金矿成矿预测. 地质通报, 34(4): 786-791.
    DU Wenhui, WANG Gongwen, CHEN Yongqing, GUO Na'na, HAO Yinglong, FENG Yuan. 2015: Interpretation analysis of mineral potential targets based on ETM+ data and GIS technology: A case study of copper and gold mineralization in Myanmar. Geological Bulletin of China, 34(4): 786-791.
    Citation: DU Wenhui, WANG Gongwen, CHEN Yongqing, GUO Na'na, HAO Yinglong, FENG Yuan. 2015: Interpretation analysis of mineral potential targets based on ETM+ data and GIS technology: A case study of copper and gold mineralization in Myanmar. Geological Bulletin of China, 34(4): 786-791.

    基于ETM+数据和GIS 技术的缅甸铜金矿成矿预测

    Interpretation analysis of mineral potential targets based on ETM+ data and GIS technology: A case study of copper and gold mineralization in Myanmar

    • 摘要: 在利用遥感数据和地理信息系统(GIS)技术的矿产资源勘查与评价中,矿化蚀变信息提取和构造信息提取起着至关重要的作用。以缅甸铜金矿为例,利用ETM+遥感图像,采用比值法、阈值分割和主成分分析(PCA)提取羟基蚀变信息;利用数字高程模型和遥感数据提取与铜金矿化有关的线环构造,结合地质资料和上述信息,利用证据权和分形方法进行整合,确定该研究区的成矿远景区。结果发现,已知铜金矿均分布于成矿靶区中,综合信息可为下一步的矿产资源勘探工作提供决策依据。

       

      Abstract: The extraction of mineralization-alteration and structure information by using remote sensing data and geographical Information System (GIS) technology plays an important role in mineral resources prospecting and assessment. Choosing a copper and gold mine in Myanmar as an example, the authors adopt band ratio, threshold segmentation and principal component analysis (PCA) to extract the hydroxyl alteration information using ETM+ remote sensing images. Digital elevation model (DEM) (30m spatial resolution) and ETM+ data are used to extract linear and circular faults that are associated with copper and gold mineralization. Combining geological data with the above information, the authors use weight of evidence and fractal method to integrate and identify the favorable ore-forming zones in this area. The research results show that the known copper and gold deposits are located within high grade potential targets, and the integrated information can be used to the mineral resources decision-making for further exploration.

       

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