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WANG Hui, QIN Xuwen, FAN Yuhai, YANG Jinzhong, JIN Moushun, ZHANG Shaopeng, LIAO Youyun, YANG Chen, CUI Sheng, HE Xiaolong, KUANG Jingshui, GUO Pengcheng. 2018. The application of high resolution remote sensing technology to ore-prospecting in Dahongliutan-Fulugou area of West Kunlun Mountains[J]. Geology in China, 45(6): 1289-1301. doi: 10.12029/gc20180617
Citation: WANG Hui, QIN Xuwen, FAN Yuhai, YANG Jinzhong, JIN Moushun, ZHANG Shaopeng, LIAO Youyun, YANG Chen, CUI Sheng, HE Xiaolong, KUANG Jingshui, GUO Pengcheng. 2018. The application of high resolution remote sensing technology to ore-prospecting in Dahongliutan-Fulugou area of West Kunlun Mountains[J]. Geology in China, 45(6): 1289-1301. doi: 10.12029/gc20180617
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The application of high resolution remote sensing technology to ore-prospecting in Dahongliutan-Fulugou area of West Kunlun Mountains

  • 1.

    Geological Exploration Institute of Aerial Photogrammetry and Remote Sensing Bureau, Xi'an 710054, Shaanxi, China

  • 2.

    China Geological Survey, Beijing 100037, China

  • 3.

    Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China

    • Fund Project: Supported by National Natural Science Foundation of China (No. 41302051) and China Geological Survey Program (No. 1212011120888, 12120113046100, 12120115011301)
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  • Author Bio: WANG Hui, male, born in 1971, professor, mainly engages in the study of tectonic geology, remote sensing geology, mineral geology; E-mail:wanghui.rock@163.com
  • Corresponding author: QIN Xuwen, male, born in 1977, doctor, associate researcher, mainly engages in the study of remote sensing geology; E-mail:qinxuwen@163.com 
Received Date:  06 April 2016
Revised Date:  12 June 2016
Publish Date:  25 December 2018
    Abstract

  • In this paper, with the Dahongliutan-Fulugou area of West Kunlun Mountains as a study case and by using WorldView-2 remote sensing images as major data source, the authors compiled standard image map and adopted method of image enhancement to protrude the information of ore-controlling factors and mineralization. The interpretation of remote sensing for mineral resources was carried out. By using ASTER data the authors conducted alteration anomaly information extraction, with the addition of a proper amount of field investigation verification. The authors finally found four great prospecting potential mineralization belts, which included one granite pegmatite belt (including rare metals) and stratabound iron polymetallic mineralization zone in Dahongliutan, one hydrothermal vein-type iron, lead, silver, copper mineralization zone and four stratabound siderite-hematite mineralization belts containing copper-lead-zinc-silver in Fulugou. Through a comprehensive analysis of remote sensing, 11 remote sensing prospecting targets were delineated, which included 5 A-class, 3 B-class and 3 C-class, and this can be used as the basis for deploying mineral resources survey project and exploration and evaluation of mineral resources. Therefore, the high score remote sensing technology deserves further promotion and application in similar areas of West Kunlun, because it can realize the rapid breakthrough of ore prospecting work in the mineral geological survey.

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