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A New Vector for Mapping Gold Mineralization Potential and Proposed Pathways in Highly Weathered Basement Rocks using Multispectral, Radar, and Magnetic Data in Random Forest Algorithm
Natural Resources Research ( IF 5.4 ) Pub Date : 2023-12-30 , DOI: 10.1007/s11053-023-10292-3
Ahmed M. Eldosouky , Abdullah Othman , Saada A. Saada , Sara Zamzam

Various deformation events and weathering processes are among the obstacles to exploration of natural resources, especially mineral ones. This study addressed these obstacles by proposing solutions through the utilization of multiple multispectral, radar, and magnetic datasets. The study region, situated in a region between two blocks associated with the Arabian–Nubian Shield, is known for the presence of these obstacles. Also, the region is characterized by the conflicting nature of these blocks in relation to occurrences of gold mineralization. Various optical and multi-frequency radar datasets were used for detailed geological/mineralogical discrimination and surface lineaments mapping, respectively. Numerous composite enhancement, processing, and classification methods were applied to aeromagnetic and multispectral data to derive as much information as possible from these data. The results of the classification of minerals, the separation of rock units, and the identification of deep-seated geological structures were combined to produce a map for predicting gold prospectivity by generating a random forest model using 10 controlling factors and the previously defined zones of gold mineralization. A three-dimensional model was generated to show the locations of the expected gold mineralization potential areas with regard to depth in the investigated region. This model figured out the strong relation between gold potentialities related to their suggested pathways, particularly WNW- and N-trending shear zones. Our model indicates that the region is promising for mining activities and presents a new approach for mapping pathways of gold-mineralized–altered zones that can be applied worldwide.



中文翻译:

使用随机森林算法中的多光谱、雷达和磁数据绘制高风化基底岩石金矿化潜力和建议路径的新矢量

各种变形事件和风化过程是自然资源特别是矿产资源勘探的障碍之一。本研究通过利用多个多光谱、雷达和磁数据集提出解决方案,解决了这些障碍。研究区域位于与阿拉伯-努比亚地盾相关的两个区块之间的区域,因存在这些障碍而闻名。此外,该地区的特点是这些区块与金矿化的出现之间存在冲突。各种光学和多频雷达数据集分别用于详细的地质/矿物学辨别和表面轮廓测绘。许多复合增强、处理和分类方法被应用于航磁和多光谱数据,以从这些数据中获取尽可能多的信息。将矿物分类、岩石单元分离和深层地质结构识别的结果结合起来,通过使用 10 个控制因素和先前定义的金矿区域生成随机森林模型,生成预测金矿前景的地图矿化。生成了一个三维模型,以显示预期金矿化潜力区域相对于调查区域深度的位置。该模型找出了与其建议路径相关的金矿潜力之间的密切关系,特别是 WNW 和 N 向剪切带。我们的模型表明该地区的采矿活动前景广阔,并提出了一种绘制金矿化蚀变带路径的新方法,可在全球范围内应用。

更新日期:2023-12-30
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