基于喀喇沁旗大西沟萤石矿区SPOT-5、Landsat-9和ASTER影像的多元信息提取和找矿预测
作者:
基金项目:

本文为国家自然科学基金项目(编号:42302104)和四川省自然科学基金面上项目(编号:2022NSFSC0410)联合资助的成果


Multivariate geological information extraction and prospecting prediction in the Daxigou fluorite mining area, Harqin Banner, utilizing SPOT-5, Landsat-9, and ASTER imagery
Author:
单位:
  • 西南交通大学地球科学与工程学院,成都,611756    
  • 西南交通大学地球科学与工程学院,成都,611756    
  • 西南交通大学地球科学与工程学院,成都,611756    
  • 赤峰市自然资源储备整理中心,赤峰,024000    
  • 西南交通大学地球科学与工程学院,成都,611756    
  • 西南交通大学地球科学与工程学院,成都,611756    
  • 西南交通大学地球科学与工程学院,成都,611756    
  • Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, 611756    
  • Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, 611756    
  • Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, 611756    
  • Chifeng Natural resources Reserve Collation Center, Chifeng,Inner Mongolia, 024000    
  • Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, 611756    
  • Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, 611756    
  • Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, 611756    
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • | |
  • 文章评论
    摘要:

    萤石是国家新一轮找矿突破战略行动重点关注的关键矿产,为更好地发挥遥感技术的先导性作用,探讨基于多源遥感数据的多元信息有效提取及萤石找矿预测具有重要意义。本研究以大兴安岭南段大西沟大型脉状萤石矿床为试验区,首先利用SPOT-5高分辨率影像解译了地质构造,并通过最小噪声分离法有效解译了地层岩性。基于主成分分析方法,使用Landsat-9和ASTER两种遥感数据提取了研究区羟基和铁染蚀变信息,依据ASTER SiO2发射率光谱与化学成分的数值关系提取了硅化蚀变信息。通过已知矿点的蚀变异常检验和对比分析,发现羟基蚀变异常和硅化蚀变异常与萤石矿化关系密切,且不同遥感数据提取的蚀变异常重叠区域示矿效果更好。基于萤石矿脉赋存对于围岩没有特别选择性,且具有明显的构造控矿及蚀变发育特征,利用GIS平台同时考虑构造和蚀变两种因素,叠加基于三种遥感数据提取的异常信息进行综合预测,结果显示圈定的成矿远景区与已知矿点高度吻合,并在矿区外围新预测了两处找矿靶区。本研究对于该区后期外围找矿具有指导作用,对其他地区脉状萤石矿床的遥感找矿预测亦具有推广应用价值。

    Abstract:

    Fluorite is a critical mineral that has attracted significant attention in recent national-scale strategic initiatives for breakthrough mineral exploration. Investigating effective methods to extract multi-source remote sensing data and predict fluorite mineralization based on diverse information is of utmost importance. This study focuses on the large-scale vein-type Daxigou fluorite deposit in the southern Great Xing'an Range of Northeast China as a case study. First, SPOT-5 high-resolution images were utilized to interpret geological structures, while the minimum noise fraction (MNF) method was applied to delineate stratigraphic lithology effectively. Principal component analysis was employed to extract information regarding hydroxyl and iron alteration in the study area from Landsat-9 and ASTER remote sensing data. Similarly, silicon alteration information was extracted based on the numerical relationship between ASTER SiO? emissivity spectra and chemical composition. Through detailed examination and comparative analysis of alteration anomalies associated with known mining sites, it was determined that both hydroxyl and silicification alteration anomalies are strongly correlated with fluorite mineralization. Furthermore, the overlapping regions of these anomalies extracted from various remote sensing datasets exhibit enhanced indicators of mineralization potential. Given that vein-type fluorite deposits are not selective regarding their surrounding rock and display distinct structural, ore-controlling, and alteration development characteristics, a GIS platform was utilized to integrate these factors by superimposing anomaly information derived from three types of remote sensing data for comprehensive prediction. The results indicate that the delineated metallogenic prospecting area shows a high degree of consistency with known mineralized zones, and two new prospective target areas have been identified outside the mining district. This study provides valuable guidance for future exploration in this region and has the potential to inform and enhance remote sensing-based prospecting predictions for vein-type fluorite deposits in other areas.

    参考文献
    相似文献
    引证文献
引用本文

沈家乐,裴秋明,张沥,韩术合,马少兵,陈磊,王世明.2025.基于喀喇沁旗大西沟萤石矿区SPOT-5、Landsat-9和ASTER影像的多元信息提取和找矿预测[J].地质论评,71(1):2025020014,[DOI].
Shen Jiale, Pei Qiuming, Zhang Li, Han Shuhe, Ma Shaobing, Chen Lei, Wang Shiming.2025. Multivariate geological information extraction and prospecting prediction in the Daxigou fluorite mining area, Harqin Banner, utilizing SPOT-5, Landsat-9, and ASTER imagery[J]. Geological Review,71(1):2025020014.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 在线发布日期: 2025-02-20