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DAI Jingjing, WANG Denghong, DAI Hongzhang, LIU Lijun, WU Yanan. 2017. Geological mapping and ore-prospecting study using remote sensing technology in Jiajika area of Western Sichuan Province[J]. Geology in China, 44(2): 389-398. doi: 10.12029/gc20170213
Citation: DAI Jingjing, WANG Denghong, DAI Hongzhang, LIU Lijun, WU Yanan. 2017. Geological mapping and ore-prospecting study using remote sensing technology in Jiajika area of Western Sichuan Province[J]. Geology in China, 44(2): 389-398. doi: 10.12029/gc20170213
shu

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

  • 1.

    MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China

  • 2.

    School of Earth Science and Resource, China University of Geosciences, Beijing 100083, China

    • Fund Project: Supported by China Geological Survey Projects (No. DD20160055, DD20160056) from; National Natural Science Foundation of China (No. 4140020641)
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  • Author Bio: DAI Jingjing, female, born in 1982, doctor, associate professor, supervisor of master candidates, mainly engages in the study of geological study using remote sensing technology; E-mail: daijingjing863@sina.com
Received Date:  20 March 2017
Revised Date:  15 April 2017
Publish Date:  25 April 2017
    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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    • References
  • Biel C, Subías I, Acevedo R D, Yusta I, Velasco F. 2012. Mineralogical IR-spectral and geochemical monitoring of hydrothermal alteration in a deformed and metamorphosed Jurassic VMS deposit at Arroyo Rojo, Tierra delFuego, Argentina[J]. Journal of South American Earth Sciences, 35:62-73. doi: 10.1016/j.jsames.2011.11.005

    CrossRef Google Scholar

    Chen Shengbo, Zhang Ying, Guo Pengju, Zhao Ying, Xie Minghui. 2015. Rock spectral measurements and their characterization analysis in Xincheng area, Liaoning Province[J]. Journal of Jilin University (Earth Science Edition), 45(1):320-326(in Chinese with English abstract).

    Google Scholar

    Dai Jingjing, Wang Runsheng. 2013. Spectral characteristics of typical transparent mineral groups[J]. Geological Science and Technology Information, 32(2):8-14(in Chinese with English abstract).

    Google Scholar

    Gan Fuping, Wang Runsheng. 2004. Remote Sensing Principle and Technology for Rocks and Minerals Information Extraction[M]. Beijing:Geological Publishing House, 19-42(in Chinese).

    Google Scholar

    Hao Xuefeng, Fu Xiaofang, Liang Bin, Yuan Linping, Pan Meng. 2015. Formation ages of granite and X03 pegmatite vein in Jiajika, western Sichuan and their geological significance[J]. Mineral Deposits, 34(6):1199-1208(in Chinese with English abstract).

    Google Scholar

    Lei Tianci, Cui Fang, Yu Fengming.2012. The application of multisource information fusion based on remote sensing to ore prospecting prediction in southern Yongzhou of Hunan Province[J]. Geology in China, 39(4):1069-1080(in Chinese with English abstract).

    Google Scholar

    Lian Changyun, Zhang Ge, Yuan Chunhua. 2005. Application of SWIR reflectance spectroscopy to Pulang porphyrycopper ore district, Yunnan Province[J]. Mineral Deposits, 24(6):621-636(in Chinese with English abstract).

    Google Scholar

    Liu Lijun, Fu Xiaofang, Wang Denghong, Hao Xuefeng, Yuan Linping. 2015. Geological characteristics and metallogeny of Jiajika-style rare metal deposits[J]. Mineral Deposits, 34(6):1187-1198(in Chinese with English abstract).

    Google Scholar

    Liu Yingfan, Chen Jianping, Hao Junfeng, Liang Lixin, Cui Laiwang. 2012. Researches on metallogenic remote sensing information extraction and metallogenic prediction in Zhulazhaga area of Inner Mongolia[J].Geology in China, (4):1062-1068(in Chinese with English abstract).

    Google Scholar

    Moghtaderi A, Moore F, Mohammadzadeh A. 2007. The application of advanced space-borne thermal emission and reflectance (ASTER)radiometer data in the detection of alteration in the Chadormalu paleocrater, Bafq region, Central Iran[J]. Journal of Asian Earth Sciences, 30:238-252. doi: 10.1016/j.jseaes.2006.09.004

    CrossRef Google Scholar

    Qin Yulong, Hao Xuefeng, Xu Yunfeng, Wang Xianfeng. 2015.Metallogenic regularity and prospecting criteria of granite type rare metal deposits in Jiajika area, Sichuan Province[J]. Geological Survey of China, 2(7):35-39.

    Google Scholar

    Wang Denghong, Li Jiankang, Fu Xiaofang. 2005. 40Ar/39Ar dating for the Jiajika pegmatite-type rare metal deposit in western Sichuan and its significance[J]. Geochemica, 34(6):541-546(in Chinese with English abstract).

    Google Scholar

    Wang Denghong, Wang Ruijiang, Fu Xiaofang, Sun Yan, Hao Xuefeng, Liu Lijun, Pan Meng, Hou Jianglong, Dai Jingjing, Tian Shihong, Yu Yang. 2016. A discussion on the major problems related to geological investigationand assessment for energy metal resources base:acase study of theJiajika large lithium mineral resource base[J]. Acta Geoscientica Sinica, 37(4):471-480(in Chinese with English abstract).

    Google Scholar

    Xu Qingsheng, Guo Jian, Liu Yang, Huang Shufeng, Li Qiushui, Chen Yushui. 2011. Application of shortwave infrared spectrum mineral analyzer(BJKF-1) to alteration mineral mapping at Pannan Tibet[J]. Geology and Exploration, 47(1):107-112(in Chinese with English abstract).

    Google Scholar

    Yang K, Huntington J F, Gemmell J B, Scott K M. 2011. Variations in composition and abundance of white mica in the hydrothermal alteration system at Hellyer, Tasmania, as revealed by infraredreflectance spectroscopy[J]. Journal of Geochemical Exploration, 108(2):143-156. doi: 10.1016/j.gexplo.2011.01.001

    CrossRef Google Scholar

    Zhang Hua, Zhao Chuanyan, Zhang Bo, Peng Shouzhang. 2011. The application of high resolution satellite Imagery GeoEye-1 on the Biomass Estimation of Tamarix Ramosissima in Lower Reaches of Heihe River Basin[J]. Remote Sensing Technology and Application, 26(6):713-718(in Chinese with English abstract).

    Google Scholar

    Zhu Jia. 2016. Analysis of Landsat 8 satellite remote sensing data preprocessing[J]. Remote Sensing for Land and Resources, 28(2):21-27(in Chinese with English abstract).

    Google Scholar

    陈圣波, 张莹, 郭鹏举, 赵莹, 谢明辉. 2015.辽宁兴城地区岩石光谱测试及特征分析[J].吉林大学学报(地球科学版), 45(1):320-326.

    Google Scholar

    代晶晶, 王润生. 2013.常见透明矿物类波谱特征研究综述[J].地质科技情报, 32(2):8-14.

    Google Scholar

    甘甫平, 王润生. 2004.遥感岩矿信息提取基础与技术方法研究[M].北京:地质出版社, 19-42.

    Google Scholar

    郝雪峰, 付小方, 梁斌, 袁蔺平, 潘蒙. 2015.川西甲基卡花岗岩和新三号矿脉的形成时代及意义[J].矿床地质, 34(6):1199-1208.

    Google Scholar

    雷天赐, 崔放, 余凤鸣.2012.基于遥感的多源信息融合在湖南永州南部地区找矿预测中的应用[J].中国地质, 39(4):1069-1080.

    Google Scholar

    连长云, 章革, 元春华. 2005.短波红外光谱矿物测量技术在普朗斑岩铜矿区热液蚀变矿物填图中的应用[J].矿床地质, 24(6):621-636.

    Google Scholar

    刘丽君, 付小方, 王登红, 郝雪峰, 袁蔺平.2015.甲基卡式稀有金属矿床的地质特征与成矿规律[J].矿床地质, 34(6):1187-1198.

    Google Scholar

    刘颖璠, 陈建平, 郝俊峰, 梁丽新, 崔来旺.2012.内蒙古朱拉扎嘎地区成矿遥感信息提取及成矿预测研究[J].中国地质, (4):1062-1068.

    Google Scholar

    秦宇龙, 郝雪峰, 徐云峰, 王显峰.2015.四川甲基卡地区花岗岩型稀有金属矿找矿规律及标志[J].中国地质调查, 2(7):35-39.

    Google Scholar

    王登红, 李建康, 付小方. 2005.四川甲基卡伟晶岩型稀有金属矿床的成矿时代及其意义[J].地球化学, 34(6):541-546.

    Google Scholar

    王登红, 王瑞江, 付小方, 孙艳, 王成辉, 郝雪峰, 刘丽君, 潘蒙, 侯江龙, 代晶晶, 田世洪, 于扬. 2016.对能源金属矿产资源基地调查评价基本问题的探讨——以四川甲基卡大型锂矿基地为例[J].地球学报, 37(4):471-480.

    Google Scholar

    徐庆生, 郭健, 刘阳, 黄树峰, 李秋平, 陈玉水.2011.近红外光谱矿物分析技术在帕南铜-钼-钨矿区蚀变矿物填图中的应用[J].地质与勘探, 47(1):107-112.

    Google Scholar

    张华, 赵传燕, 张勃, 彭守璋. 2011.高分辨率遥感影像GeoEye-1在黑河下游柽柳生物量估算中的应用[J].遥感技术与应用, 26(6):713-718. doi: 10.11873/j.issn.1004-0323.2011.6.713

    CrossRef Google Scholar

    祝佳. 2016. LandSat8卫星遥感数据预处理方法[J].国土资源遥感, 28(2):21-27. doi: 10.6046/gtzyyg.2016.02.04

    CrossRef Google Scholar

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