Mapping Alteration Zones for Detection of Economic Minerals using Integrated Tools in District Lower Dir, Northwest Khyber Pakhtunkhwa, Pakistan Mapping Alteration Zones for Detection of Economic Minerals using Integrated Tools in District Lower Dir, Northwest Khyber Pakhtunkhwa, Pakistan
The study area is the part of Lower Dir which is geographically situated in the NW of Khyber Pakhtunkhwaprovince, Pakistan. Geologically this area lies in the western part of the well-known Kohistan Island Arc. It representsthe best exposure to subduction-related island arc and has been regarded as...
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| Published in: | International Journal of Economic and Environment Geology Vol. 14; no. 2; pp. 27 - 34 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
24-01-2024
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| Online Access: | Get full text |
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| Summary: | The study area is the part of Lower Dir which is geographically situated in the NW of Khyber Pakhtunkhwaprovince, Pakistan. Geologically this area lies in the western part of the well-known Kohistan Island Arc. It representsthe best exposure to subduction-related island arc and has been regarded as the prominent metallogenic belt that hosts avariety of various minerals. The area has experienced various tectonic episodes in the past and altered the rockassemblages which developed the huge potential of copper and other precious base metals. To detect and monitor thesealteration zones, remote sensing techniques coupled with field observation were evaluated in the current study.Landsat-7, Landsat-8, and Sentinel-2B images were processed under the shelter of Principal component (Crostatechnique) analysis to demarcate the separate alteration zones. It was confirmed from the results that the signature ofthe mapped alteration zone reflects the ground truth observation of copper mineralization in the target area.Furthermore, remote sensing signatures were correlated with the petrographic details which also confirmed thesealteration zones. Spectrometry of the selected samples also delineates the same signature which is best fitted with theremote sensing data. From our current analysis, we suggest that a principal component technique in terms of medium tohigh-resolution remote sensing data is more beneficial for mineral exploration |
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| ISSN: | 2223-957X 2223-957X |
| DOI: | 10.46660/ijeeg.v14i2.135 |