Application of Some Remote Sensing Techniques to Detect the Mineral Deposits for Region of Bahar An-Najaf by Using Landsat-8 (OLI) Data | ||
| Journal of Kufa - physics | ||
| Article 1, Volume 10, Issue 1, December 2018, Pages 17-28 | ||
| Author | ||
| Ebtihal Taki Hassan | ||
| Abstract | ||
| Landsat-8 was used for the Operational Land Imager (OLI) for the southwestern part of Najaf province to detect and distinguish the most important mineral compounds of the region using several techniques for processing space images. The image processing methods used in this study includes, color composite band ratio in addition to Principal Component Analysis (PCA). Visible, near and short infrared bands have been used to detect iron oxides, iron minerals, and clay minerals, while thermal bands have been used to distinguish silicate minerals. The color composite (RGB) of the bands (B2B5B7), (B5B7B3) and (B10, B11, B7) have been used to determine region of iron oxide, clay and iron minerals as well as silicate minerals , respectively. The band ratio of 4/2, 6/5 and 6/7 have been used to detect the presence of iron oxides and iron and clay minerals, respectively. The color composition has been applied on the band ratios (6/7,6/5,4/2) to obtain a better distinction for mineral deposits in the region. From results of (PCA) and based on signal and values of eigenvectors for PCS bands, PC3 has been selected to represent clay minerals, PC4 for iron minerals and PC5 for iron oxides. The color composite application on (PC3, PC4, PC5) shows more details about the mineral deposits of the region. http://dx.doi.org/10.31257/2018/JKP/100114 | ||
| Keywords | ||
| Landsat; Color Composite; Band Ratios; Principal Component Analysis; eigenvectors | ||
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