• 中文核心期刊
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基于遥感信息提取技术的泰国铜金矿成矿预测

杨莎莎, 王功文, 陈永清, 黄陆雄, 赵鹏飞

杨莎莎, 王功文, 陈永清, 黄陆雄, 赵鹏飞. 2015: 基于遥感信息提取技术的泰国铜金矿成矿预测. 地质通报, 34(4): 780-785.
引用本文: 杨莎莎, 王功文, 陈永清, 黄陆雄, 赵鹏飞. 2015: 基于遥感信息提取技术的泰国铜金矿成矿预测. 地质通报, 34(4): 780-785.
YANG Shasha, WANG Gongwen, CHEN Yongqing, HUANG Luxiong, ZHAO Pengfei. 2015: Prediction and assessment of copper and gold resources based on information extracted from remote sensing images in Thailand. Geological Bulletin of China, 34(4): 780-785.
Citation: YANG Shasha, WANG Gongwen, CHEN Yongqing, HUANG Luxiong, ZHAO Pengfei. 2015: Prediction and assessment of copper and gold resources based on information extracted from remote sensing images in Thailand. Geological Bulletin of China, 34(4): 780-785.

基于遥感信息提取技术的泰国铜金矿成矿预测

基金项目: 中国地质调查局项目(编号:1212011120341、1212011220912)

Prediction and assessment of copper and gold resources based on information extracted from remote sensing images in Thailand

  • 摘要: 以泰国铜金热液型矿区为例,根据地质异常理论、典型铜金矿成矿模式,利用ETM+遥感影像、地质图、矿产地质数据库等多元地学数据,结合GIS技术,提取研究区地质(地层、构造)、遥感(羟基、铁染蚀变信息和线环构造)等致矿信息,采用证据权法对该区铜金矿进行成矿预测,并结合研究区主要控矿地质要素,圈定研究区铜金找矿有利地段,为该地区的找矿工作提供参考。
    Abstract: Geological information quantitative integration research is the frontier and hotspot of prospecting decision research in the world. The formation process of the large Cu-Au deposit is influenced by complicated geological events and restricted by various geological factors, such as strata, structures and alterations. In this paper, with the copper-gold ore district in Thailand as the study object, on the basis of geological anomaly theory and typical copper and gold metallogenic model, ETM+ remote sensing images, geological maps and mineral geology database in the study area, and in combination with GIS technique, the authors extracted the ore-forming information in this area such as geological information (strata, linear-circular faults, intrusions), remote sensing information (hydroxyl alteration, iron alteration, linear-circular structure), and delineated the Cu-Au prospective targets by using weights of evidence model. The research results show that the remote sensing and geological data can be combined to perform quick prediction and assessment in search for mineral resources in this metallogenic belt.
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