Alteration Detections Using ASTER Remote Sensing data and Fractal Geometry for Mineral prospecting in Hemich Area, NE Iran

Dohuee, M; Khosravi, V; Shirazi, A; Shirazy, A; Nazerian, H; Pour, AB; Hezarkhani, A; Pradhan, B

Alteration Detections Using ASTER Remote Sensing data and Fractal Geometry for Mineral prospecting in Hemich Area, NE Iran

Dohuee, M Khosravi, V Shirazi, A Shirazy, A Nazerian, H Pour, AB Hezarkhani, A Pradhan, B

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, 2022-July, pp. 5520-5523
Issue Date:: 2022-09-28

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Field	Value	Language
dc.contributor.author	Dohuee, M
dc.contributor.author	Khosravi, V
dc.contributor.author	Shirazi, A
dc.contributor.author	Shirazy, A
dc.contributor.author	Nazerian, H
dc.contributor.author	Pour, AB
dc.contributor.author	Hezarkhani, A
dc.contributor.author	Pradhan, B https://orcid.org/0000-0001-9863-2054
dc.date	2022-07-17
dc.date.accessioned	2023-04-12T23:16:34Z
dc.date.available	2023-04-12T23:16:34Z
dc.date.issued	2022-09-28
dc.identifier.citation	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, 2022-July, pp. 5520-5523
dc.identifier.isbn	9781665427920
dc.identifier.uri	http://hdl.handle.net/10453/169674
dc.description.abstract	Nowadays, remote sensing studies are considered as one of the best methods in mineral prospecting. Considering that most of the important deposits of the world, such as porphyry copper and epithermal gold deposits are widely associated with alteration zones. Identification of the alterations can be a significant exploratory guide for these types of deposits. The spectral difference between altered and unaltered rocks is the most important way of detecting alteration areas and thus exploring ore deposits by means of remote sensing. In this research, ASTER image was used to identify alteration areas in the Hemich Area, NE Iran. Geometric corrections were made on images in order to reduce the spatial errors caused by displacements and distortions related to sensors. Radiometric corrections were also applied to reduce the spectral errors caused by atmospheric effects. Subsequently, mineral prospectus areas were identified using false-color composite, band ratio, and principal components analysis. Since the results of these methods are grayscale images, a concentration-area fractal method was used to distinguish the regions containing the alterations. Using the results of these methods, some areas with the highest probability of mineralization were discovered, which were compatible with the ground control points.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
dc.relation.ispartof	IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
dc.relation.isbasedon	10.1109/igarss46834.2022.9884551
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Alteration Detections Using ASTER Remote Sensing data and Fractal Geometry for Mineral prospecting in Hemich Area, NE Iran
dc.type	Conference Proceeding
utslib.citation.volume	2022-July
utslib.location.activity	Kuala Lumpur, Malaysia
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-12T23:16:33Z
pubs.finish-date	2022-07-22
pubs.publication-status	Published
pubs.start-date	2022-07-17
pubs.volume	2022-July

Abstract:

Nowadays, remote sensing studies are considered as one of the best methods in mineral prospecting. Considering that most of the important deposits of the world, such as porphyry copper and epithermal gold deposits are widely associated with alteration zones. Identification of the alterations can be a significant exploratory guide for these types of deposits. The spectral difference between altered and unaltered rocks is the most important way of detecting alteration areas and thus exploring ore deposits by means of remote sensing. In this research, ASTER image was used to identify alteration areas in the Hemich Area, NE Iran. Geometric corrections were made on images in order to reduce the spatial errors caused by displacements and distortions related to sensors. Radiometric corrections were also applied to reduce the spectral errors caused by atmospheric effects. Subsequently, mineral prospectus areas were identified using false-color composite, band ratio, and principal components analysis. Since the results of these methods are grayscale images, a concentration-area fractal method was used to distinguish the regions containing the alterations. Using the results of these methods, some areas with the highest probability of mineralization were discovered, which were compatible with the ground control points.

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http://hdl.handle.net/10453/169674