| 丁俊,李玉森,何长宇,朱洹志.刚果（布）Mpassa-Moubiri铜多金属矿区多源遥感蚀变矿化异常提取[J].矿产勘查,2024,15(3):384-394 |
| 刚果（布）Mpassa-Moubiri铜多金属矿区多源遥感蚀变矿化异常提取 |
| Extraction of multi-source remote sensing alteration-mineralization anomalies in the Mpassa-Moubiri copper-polymetallic mining district， Congo |
| 投稿时间：2023-12-20 修订日期：2024-02-20 |
| DOI：10.20008/j.kckc.202403005 |
| 中文关键词: 多源遥感 蚀变矿化异常信息 主成分分析 层次分析 刚果（布） |
| 英文关键词: multi-source remote sensing information on alteration-mineralization anomalies principal component analysis hierarchical analysis Congo |
| 基金项目:本文受湖南省自然科学基金资助项目（2023JJ30584）资助。 |
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| 中文摘要: |
| 刚果（布）Mpassa-Moubiri矿区铜、铅、锌等矿种找矿前景良好，运用多源遥感数据可提供丰富的找矿地质信息。本文选取Aster、Sentinel-2A、Worldview-2影像，采用主成分分析法分别提取白铅矿化、菱锌矿化、硅化、铁染、蓝铜矿化、孔雀石化等蚀变矿化异常信息，光谱角监督分类方法提取浅表含矿黑土异常信息。运用GIS密度分割挖掘各类蚀变矿化信息空间分布规律，并将其作为评价指标构建层次分析模型，最终圈定异常强度阈值高于0.8、面积17.18 km2的遥感综合异常区域。结果表明：遥感综合异常主要呈北东向展布，富集在碳酸盐岩与碎屑岩接触带的有利成矿部位，与地表调查、化探异常吻合较好，表明多源数据组合能有效提取该矿区蚀变矿化信息，可为后续大比例尺勘查工作部署提供依据。 |
| 英文摘要: |
| The Mpassa-Moubiri mining district in Congo has great prospecting potential of copper， lead and zinc deposit， and the use of multi-source remote sensing data can provide abundant prospecting geological information in this area. Based on Aster， Sentinel-2A and Worldview-2 images， abnormal information of alteration and mineralization including cerussite， smithsonite， silicification， iron staining， azurite and malachite are extracted by the principal component analysis， and shallow ore-bearing black soil is extracted by the spectral angle method in this paper. The spatial distribution of various types of alteration and mineralization information are mined by GIS density segmentation， and the results are used as evaluation indices to construct a hierarchical analysis model. Finally， the 17.18 km2 region with an anomaly intensity threshold higher than 0.8 is delineated as the remote sensing comprehensive anomaly zone. The results show that the remote sensing comprehensive anomaly is mainly distributed in the northeast direction， enriched in the favorable metallogenic position of the contact zone between carbonate rock and clastic rock， and consistent with the ground geological survey result and geochemical anomaly. All these conclusions show that the multi-source data combination can effectively extract the alteration and mineralization information and will provide the basis for the subsequent deployment of large-scale exploration work in this mining district. |
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