[HTML][HTML] Effective delineation of rare metal-bearing granites from remote sensing data using machine learning methods: A case study from the Umm Naggat Area …

MA Abdelkader, Y Watanabe, A Shebl… - Ore Geology …, 2022 - Elsevier
Albitized granite (ABG) is considered as one of the most significant hosts of rare metals
(RMs). Consequently, adequate recognition of ABG through proper lithological …

[HTML][HTML] PRISMA hyperspectral data for lithological mapping in the Egyptian Eastern Desert: Evaluating the support vector machine, random forest, and XG boost …

A Shebl, D Abriha, AS Fahil, HA El-Dokouny… - Ore Geology …, 2023 - Elsevier
In essence, targeting mineralization necessitates exact structural delineation and thorough
lithological mapping. The latter is still a challenge for geologists and its lack hinders …

[HTML][HTML] Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data

A Shebl, M Abdellatif, M Badawi, M Dawoud… - Scientific Reports, 2023 - nature.com
Integrating various tools in targeting mineral deposits increases the chance of adequate
detection and characterization of mineralization zones. Selecting a convenient dataset is a …

[HTML][HTML] Multi-criteria ground water potentiality mapping utilizing remote sensing and geophysical data: A case study within Sinai Peninsula, Egypt

A Shebl, MI Abdelaziz, H Ghazala, SAS Araffa… - The Egyptian Journal of …, 2022 - Elsevier
Groundwater demand has dramatically increased due to the swift demographic explosion,
especially in arid areas, where groundwater is considered the main source for all purposes …

[HTML][HTML] Advanced land imager superiority in lithological classification utilizing machine learning algorithms

A Shebl, T Kusky, Á Csámer - Arabian Journal of Geosciences, 2022 - Springer
Different types of remote sensing data are commonly used as inputs for lithological
classification schemes, yet determining the best data source for each specific application is …

[HTML][HTML] Multisensor satellite data and field studies for unravelling the structural evolution and gold metallogeny of the Gerf Ophiolitic Nappe, Eastern Desert, Egypt

M Abd El-Wahed, S Kamh, M Abu Anbar, B Zoheir… - Remote Sensing, 2023 - mdpi.com
The gold mineralization located in the southern Eastern Desert of Egypt mostly occurs in
characteristic geologic and structural settings. The gold-bearing quartz veins and the …

[HTML][HTML] Fusion of lineament factor (Lf) map analysis and multifractal technique for massive sulfide copper exploration: The Sahlabad area, East Iran

A Shirazi, A Hezarkhani, AB Pour - Minerals, 2022 - mdpi.com
Fault systems are characteristically one of the main factors controlling massive sulfide
mineralization. The main objective of this study was to investigate the relationship between …

[HTML][HTML] Multiscale mineralogical investigations for mineral potentiality mapping of Ras El-Kharit-Wadi Khashir district, Southern Eastern Desert, Egypt

HM El-Desoky, A Shebl, AM Abdel-Rahman… - The Egyptian Journal of …, 2022 - Elsevier
Through various scales of observation, ranging from remote sensing data, field
investigations, hand specimens, microscopic petrographic examinations, XRD, to SEM …

Automatic lineaments detection using radar and optical data with an emphasis on geologic and tectonic implications: a case study of Kabul Block, eastern Afghanistan

H Ahmadi, E Pekkan, G Seyitoğlu - Geocarto International, 2023 - Taylor & Francis
The earth's surface linear features, expressing geological lineaments, play a key role in
identifying hydrothermal alteration and mineralization zones, as well as in understanding …

[HTML][HTML] A simplified GIS and google-earth-based approach for lineaments and terrain attributes mapping in a basement complex terrain

MA Lawal, AO Oshomoji, AA Akinlalu, KO Omosanya… - Scientific Reports, 2022 - nature.com
In this study, we use an integrated geologic mapping technique for remote mapping of
lineaments and geologic terrain. Our workflow is based on geographic information system …