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    代晶晶, 王登红, 代鸿章, 刘丽君, 吴亚楠. 遥感技术在川西甲基卡大型锂矿基地找矿填图中的应用[J]. 中国地质, 2017, 44(2): 389-398. DOI: 10.12029/gc20170213
    引用本文: 代晶晶, 王登红, 代鸿章, 刘丽君, 吴亚楠. 遥感技术在川西甲基卡大型锂矿基地找矿填图中的应用[J]. 中国地质, 2017, 44(2): 389-398. DOI: 10.12029/gc20170213
    DAI Jingjing, WANG Denghong, DAI Hongzhang, LIU Lijun, WU Yanan. Geological mapping and ore-prospecting study using remote sensing technology in Jiajika area of Western Sichuan Province[J]. GEOLOGY IN CHINA, 2017, 44(2): 389-398. DOI: 10.12029/gc20170213
    Citation: DAI Jingjing, WANG Denghong, DAI Hongzhang, LIU Lijun, WU Yanan. Geological mapping and ore-prospecting study using remote sensing technology in Jiajika area of Western Sichuan Province[J]. GEOLOGY IN CHINA, 2017, 44(2): 389-398. DOI: 10.12029/gc20170213

    遥感技术在川西甲基卡大型锂矿基地找矿填图中的应用

    Geological mapping and ore-prospecting study using remote sensing technology in Jiajika area of Western Sichuan Province

    • 摘要: 四川甲基卡矿田是中国乃至于世界上锂矿资源最集中的地区之一,目前运用遥感技术开展甲基卡型锂矿的研究工作尚较为薄弱,文章运用遥感技术在甲基卡特殊地貌区开展找矿填图应用研究,建立了研究区典型岩石及矿物的波谱数据库,总结了研究区黑云母片岩、十字石片岩、十字石堇青石片岩、角岩、二云母花岗岩、含锂辉石伟晶岩、无矿伟晶岩、石英脉、长石斑晶、锂辉石单晶、云母、绿柱石的波谱特征;之后分别基于中等分辨率遥感数据Landsat 8和高空间分辨率遥感数据Geoeye-1进行图像处理和信息提取,开展了地质填图应用初步研究。研究结果表明遥感技术作为一种新兴的技术手段,对甲基卡型锂矿的填图及找矿具有重要的指导意义,可以作为今后地质找矿工作的“先头兵”。

       

      Abstract: The Jiajika ore deposit has become one of the areas with the richest Li resources in China and even in the world; nevertheless, remote sensing research on Li resources remains very insufficient. In this paper, geological mapping and oreprospecting studies in Jiajika area were conducted using remote sensing technology. Spectral library of typical rocks and minerals collected in this area was built, and spectral characteristics of rocks and minerals including biotite schist, grenatite schist, grenatite cordierite schist, hornstone, granite, spodumene-bearing pegmatite, pegmatite without spodumene, quartz vein, feldspar, spodumene monocrystal, biotite, and aquamarine were analyzed. Then geological mapping and ore prospecting were studied based on image processing and interpretation of middle spatial resolution remote sensing data LandSat 8 and high spatial resolution remote sensing data Geoeye-1. The results indicate that remote sensing technology is instructive for geological mapping and ore prediction of Jiajiaka type lithium ores and is likely to be a good indicator before geological study.

       

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