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Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran

Fusion and analysis of thematic information layers using machine learning algorithms provide an important step toward achieving accurate mineral potential maps in the reconnaissance stage of mineral exploration. This study developed the Neuro-Fuzzy-AHP (NFAHP) technique for fusing remote sensing (i....

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Main Authors: Shirazi, Aref, Hezarkhani, Ardeshir, Pour, Amin Beiranvand, Shirazy, Adel, Hashim, Mazlan
Format: Article
Language:English
Published: MDPI 2022
Subjects:
G70.39-70.6 Remote sensing
Online Access:http://eprints.utm.my/103913/1/MazlanHashim2022_NeuroFuzzyAHPNFAHPTechniqueforCopper.pdf
http://eprints.utm.my/103913/
http://dx.doi.org/10.3390/rs14215562
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spelling my.utm.1039132023-12-06T04:42:36Z http://eprints.utm.my/103913/ Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran Shirazi, Aref Hezarkhani, Ardeshir Pour, Amin Beiranvand Shirazy, Adel Hashim, Mazlan G70.39-70.6 Remote sensing Fusion and analysis of thematic information layers using machine learning algorithms provide an important step toward achieving accurate mineral potential maps in the reconnaissance stage of mineral exploration. This study developed the Neuro-Fuzzy-AHP (NFAHP) technique for fusing remote sensing (i.e., ASTER alteration mineral image-maps) and geological datasets (i.e., lithological map, geochronological map, structural map, and geochemical map) to identify high potential zones of volcanic massive sulfide (VMS) copper mineralization in the Sahlabad mining area, east Iran. Argillic, phyllic, propylitic and gossan alteration zones were identified in the study area using band ratio and Selective Principal Components Analysis (SPCA) methods implemented to ASTER VNIR and SWIR bands. For each of the copper deposits, old mines and mineralization indices in the study area, information related to exploration factors such as ore mineralization, host-rock lithology, alterations, geochronological, geochemistry, and distance from high intensity lineament factor communities were investigated. Subsequently, the predictive power of these factors in identifying copper occurrences was evaluated using Back Propagation Neural Network (BPNN) technique. The BPNN results demonstrated that using the exploration factors, copper mineralizations in Sahlabad mining area could be identified with high accuracy. Lastly, using the Fuzzy-Analytic Hierarchy Process (Fuzzy-AHP) method, information layers were weighted and fused. As a result, a potential map of copper mineralization was generated, which pinpointed several high potential zones in the study area. For verification of the results, the documented copper deposits, old mines, and mineralization indices in the study area were plotted on the potential map, which is particularly appearing in high favorability parts of the potential map. In conclusion, the Neuro-Fuzzy-AHP (NFAHP) technique shows great reliability for copper exploration in the Sahlabad mining area, and it can be extrapolated to other metallogenic provinces in Iran and other regions for the reconnaissance stage of mineral exploration. MDPI 2022-11 Article PeerReviewed application/pdf en http://eprints.utm.my/103913/1/MazlanHashim2022_NeuroFuzzyAHPNFAHPTechniqueforCopper.pdf Shirazi, Aref and Hezarkhani, Ardeshir and Pour, Amin Beiranvand and Shirazy, Adel and Hashim, Mazlan (2022) Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran. Remote Sensing, 14 (21). pp. 1-21. ISSN 2072-4292 http://dx.doi.org/10.3390/rs14215562 DOI:10.3390/rs14215562
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Shirazi, Aref
Hezarkhani, Ardeshir
Pour, Amin Beiranvand
Shirazy, Adel
Hashim, Mazlan
Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran
description Fusion and analysis of thematic information layers using machine learning algorithms provide an important step toward achieving accurate mineral potential maps in the reconnaissance stage of mineral exploration. This study developed the Neuro-Fuzzy-AHP (NFAHP) technique for fusing remote sensing (i.e., ASTER alteration mineral image-maps) and geological datasets (i.e., lithological map, geochronological map, structural map, and geochemical map) to identify high potential zones of volcanic massive sulfide (VMS) copper mineralization in the Sahlabad mining area, east Iran. Argillic, phyllic, propylitic and gossan alteration zones were identified in the study area using band ratio and Selective Principal Components Analysis (SPCA) methods implemented to ASTER VNIR and SWIR bands. For each of the copper deposits, old mines and mineralization indices in the study area, information related to exploration factors such as ore mineralization, host-rock lithology, alterations, geochronological, geochemistry, and distance from high intensity lineament factor communities were investigated. Subsequently, the predictive power of these factors in identifying copper occurrences was evaluated using Back Propagation Neural Network (BPNN) technique. The BPNN results demonstrated that using the exploration factors, copper mineralizations in Sahlabad mining area could be identified with high accuracy. Lastly, using the Fuzzy-Analytic Hierarchy Process (Fuzzy-AHP) method, information layers were weighted and fused. As a result, a potential map of copper mineralization was generated, which pinpointed several high potential zones in the study area. For verification of the results, the documented copper deposits, old mines, and mineralization indices in the study area were plotted on the potential map, which is particularly appearing in high favorability parts of the potential map. In conclusion, the Neuro-Fuzzy-AHP (NFAHP) technique shows great reliability for copper exploration in the Sahlabad mining area, and it can be extrapolated to other metallogenic provinces in Iran and other regions for the reconnaissance stage of mineral exploration.
format Article
author Shirazi, Aref
Hezarkhani, Ardeshir
Pour, Amin Beiranvand
Shirazy, Adel
Hashim, Mazlan
author_facet Shirazi, Aref
Hezarkhani, Ardeshir
Pour, Amin Beiranvand
Shirazy, Adel
Hashim, Mazlan
author_sort Shirazi, Aref
title Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran
title_short Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran
title_full Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran
title_fullStr Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran
title_full_unstemmed Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and geological datasets in the Sahlabad Mining Area, East Iran
title_sort neuro-fuzzy-ahp (nfahp) technique for copper exploration using advanced spaceborne thermal emission and reflection radiometer (aster) and geological datasets in the sahlabad mining area, east iran
publisher MDPI
publishDate 2022
url http://eprints.utm.my/103913/1/MazlanHashim2022_NeuroFuzzyAHPNFAHPTechniqueforCopper.pdf
http://eprints.utm.my/103913/
http://dx.doi.org/10.3390/rs14215562
_version_ 1784511521705951232
score 13.211869

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