The application of high resolution remote sensing technology to ore-prospecting in Dahongliutan-Fulugou area of West Kunlun Mountains
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摘要:
在西昆仑大红柳滩-俘虏沟地区，以WorldView-2高空间分辨率数据为主要信息源，在标准影像图制作基础上，针对性地进行图像增强处理，突出相关控矿要素和矿化信息，开展地质矿产遥感解译；利用ASTER数据开展矿化蚀变有关的遥感异常信息提取，配合适量的野外调查验证，发现了4种极具找矿前景的矿化带类型：①大红柳滩（含稀有金属）花岗伟晶岩带1处；②大红柳滩层控型铁多金属矿化带1处；③俘虏沟燕山期花岗岩有关热液脉型铁、铅、银、铜矿化区1处；④俘虏沟层控型含铜铅锌银的菱铁-赤铁矿矿化带4处；通过遥感综合分析，圈定遥感找矿靶区11处，其中A级遥感找矿靶区5处、B级遥感找矿靶区3处、C级遥感找矿靶区3处，为后续区域地质矿产调查项目规划部署和矿产资源勘查评价提供依据。因此，高分遥感技术在西昆仑地区矿产地质综合调查中作用显著，可实现找矿工作的快速突破，值得在相同或类似区域进一步推广应用。
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关键词:
- 高分遥感技术 /
- 西昆仑 /
- 大红柳滩-俘虏沟地区 /
- 地质找矿
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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表 1 研究区不同波段组合的最佳指数计算结果
Table 1. Best indexes of different bands combination in the study area
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表 2 铁染异常、羟基异常、碳酸根异常的重要吸收谱带
Table 2. The important absorption bands of iron staining abnormalities, hydroxy abnormalities, carbonate abnormalities
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表 3 研究区推荐的遥感靶区统计
Table 3. The statistical table of recommended remote sensing prospecting target areas
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