Analysis of airborne geophysical and remote sensing data for exploration of porphyry type deposits in the Central Iranian Volcanic Belt, using fuzzy classification

Hojjat Ranjbar; Zohreh Moezifar; Maisam Sarmadi; Mehdi Honarmand

doi:10.1071/ASEG2003ab138

ISSN: 2202-0586
E-ISSN:

oa Analysis of airborne geophysical and remote sensing data for exploration of porphyry type deposits in the Central Iranian Volcanic Belt, using fuzzy classification
Authors Hojjat Ranjbar^a, Zohreh Moezifar^b, Maisam Sarmadi^c and Mehdi Honarmand^d
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^a Department of Mining Engineering, Shahid Bahonar University of Kerman Iran, [email protected] ^b Department, of Geology, Shahid Bahonar University of Kerman, Iran, [email protected] ^c Department of Mining Engineering, Technical University of Esfahan, Iran, [email protected] ^d Department of Geology, Shahid Bahonar University of Kerman Iran,, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2003, Issue ASEG2003 - 16th Geophysical Conference, Aug 2003, p. 1 - 4
DOI: https://doi.org/10.1071/ASEG2003ab138
- Published online: 01 Aug 2003

Abstract

The area under study is located in the southern part of the Central Iranian Volcanic Sedimentary belt and covers an area of about 600 sq. kms. The Sar Cheshmeh, Darrehzar and areas with known

mineralization and alteration are chosen as control areas. Airborne geophysical data - radiometry and megnetometry - has been integrated and analysed using fuzzy classification. This type of classification is suggested for remote sensing data, but it can also be used for classification of airborne geophysical data. In this study Landsat and airborne geophysical data are integrated and analysed by fuzzy classification method. After defining the training areas(Sar Cheshmeh and Darrehzar areas), the entire region is classified into altered and unaltered areas. This analysis is found useful for exploration of porphyry type deposits in the Central Iranian Volcanic Belt, where most parts of this belt is surveyed by airborne geophysics.

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References

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Article Type: Research Article

Keyword(s): Airborne geophysics; exploration; fuzzy classification; Iran; Porphyry; remote sensing

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oa Analysis of airborne geophysical and remote sensing data for exploration of porphyry type deposits in the Central Iranian Volcanic Belt, using fuzzy classification

Abstract

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