利用遥感技术识别非洲塞拉利昂的铁矿石

Diaz G., Prol-Ledesma R.M.
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引用次数: 0

摘要

在这项工作中,遥感技术被用作地质勘探技术,表明它在为遥远的矿区提供有价值的信息方面是有利可图和有效的。由于 1991 年至 2002 年期间的内战影响,塞拉利昂的矿业复兴只集中在恢复已关闭的矿山和开采以前探明的储量上。因此,这项工作的主要目标是在 Marampa 和 Tonkolili 地区找到新的铁矿石,这些铁矿石位于采矿许可证持有者所在地以外的地区,以前没有在这些地区进行过勘探研究。为此使用了 Landsat 5 TM 多光谱卫星图像。采用了两种不同的光谱增强方法:使用波段比率的色彩构成和应用于波段比率的主成分分析 (PCA)。对结果进行整合后生成了一张地图,划定了氧化铁暴露矿化的区域,使我们能够将这些区域与区域地质联系起来。最后,还包括了用于实地检查和详细勘探的通路。
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Identification of iron ores in Sierra Leone, Africa by using remote sensing techniques
Remote sensing is used in this work as a geological reconnaissance technique, demonstrating that it is profitable and effective in providing valuable information for distant regions of mining interest. Due to the Civil War that affected Sierra Leone from 1991 to 2002, Sierra Leone's mining resurgence has focused only on restoring closed mines and the exploitation of previously proven reserves. Thus, the main objective of this work is to locate new iron ores in the districts of Marampa and Tonkolili, located in areas outside the mining licensee sites where previous exploratory studies have not been carried out. To do this, Landsat 5 TM multispectral satellite images were used. Two different spectral enhancement methodologies were applied: Colour composition with band ratios and principal component analysis (PCA) applied to band ratios. The results were integrated to generate a map that delimits areas with exposed mineralization of iron oxides, which allowed us to associate them with the regional geology. Finally, access roads are included for field checking and detailed exploration.
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