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Application of Remote Sensing in Mapping Hydrothermal Alteration Zones and Geological Structures as Areas of Economic Mineralization in Mwitika-Makongo Area, SE Kenya

机译:遥感在Mwitika-Makongo地区经济矿化区映射中的应用在映射水热改变区和地质结构中的应用

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Remote sensing investigations combined with Geographical investigation systems (GIS) have become more important for the study of geological mineralization and structural geology like lineaments. Automatic extraction of lineaments from satellite imagery help in giving an overview of the tectonic events in the study area. The main objective of the study was to map hydrothermally altered rocks and geological structures that may be associated with mineral deposits in Mwitika-Makongo area. The study involves the use of Landsat- 8/OLI image. The satellite images were classified using ENVI 5.3 and ArcGIS 10.5. PCI geomatics 2016 was used for extraction of lineaments while Rose diagram was generated using Rockworks 16. Different remote sensing techniques, such as colour composite, band ratio and principal component analysis were applied to identify geological units and features related to economic mineralization. Colour composite band combination (5, 6, 7) showed hydrothermally altered geological units as blue. Band ratio combination (4/2, 6/7, 6/5) showed the areas that were hydrothermally altered as blue. Lineament mapping was done using PCA, with the first three PCs having the highest percentage of Eigenvalues. A lineament density map showed higher values in Makongo hill followed by Kalima Kathei hill. The structural trend from the rose diagram is in the NE direction. The results of image analysis and lineament extraction show that the economic minerals like iron ore are located in areas of hydrothermal alterations where intrusive rocks like Pyroxenite were found.
机译:遥感调查与地理调查系统(GIS)相结合,对地质矿化和结构地质等谱系的研究变得更加重要。从卫星图像自动提取谱系的帮助,帮助概述研究区域的构造事件。该研究的主要目的是映射水热改变的岩石和地质结构,该岩石和地质结构可能与Mwitika-Makongo地区的矿物沉积物相关。该研究涉及使用Landsat-8 / Oli图像。卫星图像使用Envi 5.3和ArcGIS 10.5进行分类。 PCI Geomatics 2016用于提取谱系的提取,而使用摇滚工程产生玫瑰图16.应用了不同的遥感技术,例如彩色复合,带比和主要成分分析,以识别与经济矿化有关的地质单位和特征。彩色复合乐队组合(5,6,7)显示为蓝色的水热改变的地质单位。带比组合(4/2,6 / 7,6 / 5)显示了水热改变为蓝色的区域。使用PCA完成谱系映射,前三名PC具有最高的特征值百分比。一个谱系密度图显示了Makongo Hill中的较高价值,然后是卡里马·卡塞伊山。来自玫瑰图的结构趋势在网元方向上。图像分析和谱系提取的结果表明,铁矿石等经济矿物位于水热改变区域,其中发现了紫红素等侵入性岩石。

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