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Volume & Issue no: Volume 6, Issue 3, May - June 2017

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Title:
Appraisal Of Kanjamalai Iron Ore Deposit Using Remote Sensing And Geographical Information System
Author Name:
T.Subramani, G.Thulasirajan, S.Priyanka
Abstract:
Abstract The iron ore deposits forms part of Pre-Cambrian iron ore formations occurring as narrow, highly deformed and metamorphosed belts with in Archaean granulites and gneisses older than 3,000 Ma. Analysis of satellite imagery coupled with field investigations has helped to elucidate the iron ore deposits. The literature reviews suggest that only few attempts have been made on Processing and Analyzing Advanced High Resolution satellite Image Data for Identification and Exploring Iron ore Deposits of Precambrian age in Tamil Nadu, India and detailed investigation on spectral analysis. The reflectance of Landsat ETM+ data pertaining to the study area was used for Band ratio of 4/2. The Minimum Noise Fraction (MNF) transformation was performed to reduce the noise of pixels to identify the iron ores of the study area. The pure pixel of iron ore is exported to MNF image, after identifying iron ore pixels. The results of interpretation show the accuracy of mapping iron ore deposits. Keywords: Remote Sensing, GIS, Iron ore grade, India
Cite this article:
T.Subramani, G.Thulasirajan, S.Priyanka , " Appraisal Of Kanjamalai Iron Ore Deposit Using Remote Sensing And Geographical Information System" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 3, May - June 2017 , pp. 229-240 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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