Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt

Abstract In this paper, an efficient strategy based-first link between aeromagnetic and remote sensing data is presented to delineate the signatures associated with mineralization, especially the porphyry-style one in Dara-Monqul area, Northeastern Desert, Egypt. Initially, aeromagnetic derivative f...

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Main Authors: Mahmoud Abdellatif, Sayed O. Elkhateeb, Mahmoud Abd El-Rahman Hegab, Ali Shebl, Ghada Mohamed, Ali M. Mahdi
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-09809-y
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author Mahmoud Abdellatif
Sayed O. Elkhateeb
Mahmoud Abd El-Rahman Hegab
Ali Shebl
Ghada Mohamed
Ali M. Mahdi
author_facet Mahmoud Abdellatif
Sayed O. Elkhateeb
Mahmoud Abd El-Rahman Hegab
Ali Shebl
Ghada Mohamed
Ali M. Mahdi
author_sort Mahmoud Abdellatif
collection DOAJ
description Abstract In this paper, an efficient strategy based-first link between aeromagnetic and remote sensing data is presented to delineate the signatures associated with mineralization, especially the porphyry-style one in Dara-Monqul area, Northeastern Desert, Egypt. Initially, aeromagnetic derivative filters like analytical signal (AS), first vertical derivative (FVD) and Euler deconvolution revealed the NW-SE as a preferred direction for mineral occurrence, with other traces of NE-SW, NNE-SSW and N-S trends. The depths of these trends range from 0 to 0.8 km. Exploration targeting (CET) grid and porphyry analysis had an operative role in mapping the structure complexity, Dykes and Porphyry features. Lithological discrimination and hydrothermal alteration (ferrous silicates, hydroxyl, phyllic and potassic) have been mapped by applying various image processing techniques of Remote sensing data, including False Color Composite (FCC), Principal Component Analysis (PCA), Independent Component Analysis (ICA), Minimum Noise Fraction (MNF), and band ratio (BR). Regarding these results, two distinct zones occupied Monqul and Dara regions have been indicated with high potentiality mineralization (Cu-Au), with constructing a composite potential mineralization (CPM) map. Field observation and Scanning Electron Microscopy (SEM) have been implemented to verify the exact locations and analyze the mineral chemistry of gangue and ore minerals within the two promised zones.
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spelling doaj-art-59258b178f5048bfbf42880f0eea70c72025-08-20T04:03:06ZengNature PortfolioScientific Reports2045-23222025-07-0115112010.1038/s41598-025-09809-yRevealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area EgyptMahmoud Abdellatif0Sayed O. Elkhateeb1Mahmoud Abd El-Rahman Hegab2Ali Shebl3Ghada Mohamed4Ali M. Mahdi5Geology department, Faculty of Science, South Valley UniversityGeology department, Faculty of Science, South Valley UniversityAuthority for Remote Sensing and Space Sciences (NARSS)Geology department, Faculty of Science, Tanta UniversityGeology department, Faculty of Science, South Valley UniversityGeology department, Faculty of Science, South Valley UniversityAbstract In this paper, an efficient strategy based-first link between aeromagnetic and remote sensing data is presented to delineate the signatures associated with mineralization, especially the porphyry-style one in Dara-Monqul area, Northeastern Desert, Egypt. Initially, aeromagnetic derivative filters like analytical signal (AS), first vertical derivative (FVD) and Euler deconvolution revealed the NW-SE as a preferred direction for mineral occurrence, with other traces of NE-SW, NNE-SSW and N-S trends. The depths of these trends range from 0 to 0.8 km. Exploration targeting (CET) grid and porphyry analysis had an operative role in mapping the structure complexity, Dykes and Porphyry features. Lithological discrimination and hydrothermal alteration (ferrous silicates, hydroxyl, phyllic and potassic) have been mapped by applying various image processing techniques of Remote sensing data, including False Color Composite (FCC), Principal Component Analysis (PCA), Independent Component Analysis (ICA), Minimum Noise Fraction (MNF), and band ratio (BR). Regarding these results, two distinct zones occupied Monqul and Dara regions have been indicated with high potentiality mineralization (Cu-Au), with constructing a composite potential mineralization (CPM) map. Field observation and Scanning Electron Microscopy (SEM) have been implemented to verify the exact locations and analyze the mineral chemistry of gangue and ore minerals within the two promised zones.https://doi.org/10.1038/s41598-025-09809-yAeromagneticRemote sensingPorphyry Cu-AuPotential mineralization
spellingShingle Mahmoud Abdellatif
Sayed O. Elkhateeb
Mahmoud Abd El-Rahman Hegab
Ali Shebl
Ghada Mohamed
Ali M. Mahdi
Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt
Scientific Reports
Aeromagnetic
Remote sensing
Porphyry Cu-Au
Potential mineralization
title Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt
title_full Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt
title_fullStr Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt
title_full_unstemmed Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt
title_short Revealing porphyry mineralization Cu-Au signatures via analyzing aeromagnetic and remote sensing data of Dara-Monqul, area Egypt
title_sort revealing porphyry mineralization cu au signatures via analyzing aeromagnetic and remote sensing data of dara monqul area egypt
topic Aeromagnetic
Remote sensing
Porphyry Cu-Au
Potential mineralization
url https://doi.org/10.1038/s41598-025-09809-y
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