Mapping structural features and predicting areas of probable hydrothermal mineral resources using aeromagnetic and remote sensing data

Aeromagnetic and remote sensing data were used to characterize the lithologic, geologic structures and probable areas of hydrothermal alteration zones in the Marsa Alam area, Eastern Desert of Egypt. The aeromagnetic data was processed and interpreted using several enhancement techniques such as reduction to the pole (RTP), horizontal and vertical derivatives, horizontal gradient magnitude (HGM), tilt angle derivative (TDR), and analytical signal (AS). The results indicated that the NNW, NNE, N-S, NW, NE, E-W, and NE trends are predominant. Furthermore, processing of Landsat-8 Operational Land Imager (OLI) and ASTER remote sensing data allowed mapping of the lithologic characteristics and prediction of the probable areas of hydrothermal alteration zones (HAZs).

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Publication Details

Journal
SVU−International Journal of Basic Sciences
Published
2025-08-18
DOI
https://doi.org/10.21608/svuijbs.2025.342515.1008
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Mapping structural features and predicting areas of probable hydrothermal mineral resources using aeromagnetic and remote sensing data

Abdelhady Akraby, M.A. Khalifa, Mona M Elsoghier, Mohamed Abedelkareem
SVU−International Journal of Basic Sciences
Geochemistry and Geologic Mapping
article

Mapping structural features and predicting areas of probable hydrothermal mineral resources using aeromagnetic and remote sensing data

Abdelhady Akraby, M.A. Khalifa, Mona M Elsoghier, Mohamed Abedelkareem
article en

Abstract

Aeromagnetic and remote sensing data were used to characterize the lithologic, geologic structures and probable areas of hydrothermal alteration zones in the Marsa Alam area, Eastern Desert of Egypt. The aeromagnetic data was processed and interpreted using several enhancement techniques such as reduction to the pole (RTP), horizontal and vertical derivatives, horizontal gradient magnitude (HGM), tilt angle derivative (TDR), and analytical signal (AS). The results indicated that the NNW, NNE, N-S, NW, NE, E-W, and NE trends are predominant. Furthermore, processing of Landsat-8 Operational Land Imager (OLI) and ASTER remote sensing data allowed mapping of the lithologic characteristics and prediction of the probable areas of hydrothermal alteration zones (HAZs).

SVU−International Journal of Basic SciencesVol. 0(0)
South Valley University (EG)
Openalex Percentile: Top 89%
Geochemistry and Geologic Mapping
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Mapping structural features and predicting areas of probable hydrothermal mineral resources using aeromagnetic and remote sensing data — Abdelhady Akraby, M.A. Khalifa, et al. · SVU−International Journal of Basic Sciences (2025) | TGRS Research Map | TGRS