DIGITAL PROCESSING OF LANDSAT IMAGES TO DETECT IRON AND KAOLIN DEPOSITS IN SELECTED SITES IN THE WESTERN DESERT OF IRAQ

	DIGITAL PROCESSING OF LANDSAT IMAGES TO DETECT IRON AND KAOLIN DEPOSITS IN SELECTED SITES IN THE WESTERN DESERT OF IRAQ
Iraqi Journal of Science
Article 1, Volume 50, Issue 4, 2009, Pages 519-532
Abstract
The study is carried out for selected areas in the Western Desert of Iraq that are characterized by the occurrence of iron and kaolin mineral deposits .The study aims to create active and suitable images to detect the mineral deposits depending on the digital image processing for satellite images using ERDAS-9 and ARC GIS 9.1 software. The study deals with ETM+ images to create image-fusion that were processed to identify the spectral response of each of Iron and kaolin in the selected areas. As well as available data of geological field survey were used to prepare the information layers associated with the attribute tables of the wells and quarries. The results show good agreement between remote sensing technique and the field work survey; a quantitative approach was established to estimate the occurrences of iron deposits in terms of spectral responses that are obtained from image processing. Iron deposits appear in yellowish green signatures on RGB (Red, Green, Blue) 4, 7, 2 while Kaolin deposits appear in reddish magenta on RGB 4, 7, 5. Image fusion of HPF (High Pass Filter) and WT (Wavelet Transform) are assigned as the most suitable algorithms used in the study. Image-ratio of 5/1 and 3/1 are active and suitable to detect the light tone of iron mineral deposits, while the high spectral response of kaolin deposits is detected on the image of 5/7.

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