Home / Scientific activities / Journals / Application of Some Remote Sensing Techniques to Detect the Mineral Deposits for Region of Bahar An-Najaf by Using Landsat-8 (OLI) Data

Application of Some Remote Sensing Techniques to Detect the Mineral Deposits for Region of Bahar An-Najaf by Using Landsat-8 (OLI) Data

Ebtihal Taki Hassan
University of kufa / College of Education for Girls/ department of physics
ibtihal.alkhaqani@uokufa.edu.iq
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 -8, Color Composite, Band Ratios, Principal Component Analysis,
eigenvectors.

17-28

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