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Proceedings Paper

Integration and analysis of remote sensing, airborne geophysics, and geochemical data of Sar Cheshmeh area using directed principal component analysis
Author(s): Hojjatollah Ranjbar; Mehdi Honarmand; Zohre Moezifar; Morteza Shakoori
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Paper Abstract

Many of the known porphyry copper deposits are situated in the Central Iranian volcanic Belt. The area under study is located in the southern part of this belt and covers an area of about 2600 sq. kms. ETM+ images have been used for alteration mapping. Crosta method was found useful for enhancing the areas with hydroxyl and iron oxide minerals. However field checking has shown that this method is not able to enhance all the areas with hydrothermal alteration. In order to recognize such areas combination of remote sensing and geophysical data can be helpful. The Sar Cheshmeh mine is chosen as a control area. The data has been divided into two sets namely, explanatory and target variables. The target variables are rock geochemistry (Cu and Mo) and alteration data. The explanatory data are Landsat and airborne geophysical data (K and Th counts, and total magnetics). The data analysis is performed in two steps, (1) integration and analysis of target variables over the control area by principal component analysis method, and (2) transformation of explanatory variables by using the eigenvector loadings of the first step. This technique is found to be useful for the delineation of hydrothermaly altered areas with enough confidence.

Paper Details

Date Published: 14 March 2003
PDF: 9 pages
Proc. SPIE 4886, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II, (14 March 2003); doi: 10.1117/12.462972
Show Author Affiliations
Hojjatollah Ranjbar, Shahid Bahonar Univ. of Kerman (United States)
Mehdi Honarmand, Shahid Bahonar Univ. of Kerman (United States)
Zohre Moezifar, Shahid Bahonar Univ. of Kerman (United States)
Morteza Shakoori, Shahid Bahonar Univ. of Kerman (United States)


Published in SPIE Proceedings Vol. 4886:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology II
Manfred Ehlers, Editor(s)

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