Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data

The aim of this study is determination and separation of alteration zones using Concentration-Area (C-A) fractal model based on remote sensing data which has been extracted from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. The studied area is on the SW part of Saveh...

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Main Authors: Mirko Ahmadfaraj, Mirsaleh Mirmohammadi, Peyman Afzal
Format: Article
Language:English
Published: University of Tehran 2016-06-01
Series:International Journal of Mining and Geo-Engineering
Subjects:
Online Access:http://ijmge.ut.ac.ir/article_57307_38a37d55bc0662e029444397bab72f13.pdf
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spelling doaj-44d8fb4cdaaf41eab71620dc97d598582020-11-24T23:09:08ZengUniversity of TehranInternational Journal of Mining and Geo-Engineering2345-69302345-69492016-06-01501374857307Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral dataMirko Ahmadfaraj0Mirsaleh Mirmohammadi1Peyman Afzal2School of Mining Engineering, College of Engineering, University of Tehran, Tehran, IranSchool of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran.1- Department of Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran. 2- Camborne School of Mines, University of Exeter, Penryn, UK.The aim of this study is determination and separation of alteration zones using Concentration-Area (C-A) fractal model based on remote sensing data which has been extracted from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. The studied area is on the SW part of Saveh, 1:250,000 geological map, which is located in Urumieh-Dokhtar magmatic belt, Central Iran. The pixel values were computed by Principal Component Analysis (PCA) method used to determine phyllic, argillic, and propylitic alteration zones. The C-A fractal model is utilized for separation of different parts of alteration zones due to their intensity. The log-log C-A plots reveal multifractal nature for phyllic, argillic, and propylitic alteration zones. The obtained results based on fractal model show that the main trend of the alteration zones is in NW-SE direction. Compared to the geological map of the study area and copper mineralizations, the alteration zones have been detected properly and correlate with the mineral occurrences, intrusive rock, and faults.http://ijmge.ut.ac.ir/article_57307_38a37d55bc0662e029444397bab72f13.pdfASTERConcentration–Area (C-A) fractal modelhydrothermal alteration mappingPrincipal Component Analysis (PCA)Saveh
collection DOAJ
language English
format Article
sources DOAJ
author Mirko Ahmadfaraj
Mirsaleh Mirmohammadi
Peyman Afzal
spellingShingle Mirko Ahmadfaraj
Mirsaleh Mirmohammadi
Peyman Afzal
Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data
International Journal of Mining and Geo-Engineering
ASTER
Concentration–Area (C-A) fractal model
hydrothermal alteration mapping
Principal Component Analysis (PCA)
Saveh
author_facet Mirko Ahmadfaraj
Mirsaleh Mirmohammadi
Peyman Afzal
author_sort Mirko Ahmadfaraj
title Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data
title_short Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data
title_full Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data
title_fullStr Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data
title_full_unstemmed Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data
title_sort application of fractal modeling and pca method for hydrothermal alteration mapping in the saveh area (central iran) based on aster multispectral data
publisher University of Tehran
series International Journal of Mining and Geo-Engineering
issn 2345-6930
2345-6949
publishDate 2016-06-01
description The aim of this study is determination and separation of alteration zones using Concentration-Area (C-A) fractal model based on remote sensing data which has been extracted from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images. The studied area is on the SW part of Saveh, 1:250,000 geological map, which is located in Urumieh-Dokhtar magmatic belt, Central Iran. The pixel values were computed by Principal Component Analysis (PCA) method used to determine phyllic, argillic, and propylitic alteration zones. The C-A fractal model is utilized for separation of different parts of alteration zones due to their intensity. The log-log C-A plots reveal multifractal nature for phyllic, argillic, and propylitic alteration zones. The obtained results based on fractal model show that the main trend of the alteration zones is in NW-SE direction. Compared to the geological map of the study area and copper mineralizations, the alteration zones have been detected properly and correlate with the mineral occurrences, intrusive rock, and faults.
topic ASTER
Concentration–Area (C-A) fractal model
hydrothermal alteration mapping
Principal Component Analysis (PCA)
Saveh
url http://ijmge.ut.ac.ir/article_57307_38a37d55bc0662e029444397bab72f13.pdf
work_keys_str_mv AT mirkoahmadfaraj applicationoffractalmodelingandpcamethodforhydrothermalalterationmappinginthesavehareacentraliranbasedonastermultispectraldata
AT mirsalehmirmohammadi applicationoffractalmodelingandpcamethodforhydrothermalalterationmappinginthesavehareacentraliranbasedonastermultispectraldata
AT peymanafzal applicationoffractalmodelingandpcamethodforhydrothermalalterationmappinginthesavehareacentraliranbasedonastermultispectraldata
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