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

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 …

Shear-related gold ores in the Wadi Hodein Shear Belt, South Eastern Desert of Egypt: analysis of remote sensing, field and structural data

M Abd El-Wahed, B Zoheir, AB Pour, S Kamh - Minerals, 2021 - mdpi.com
Space-borne multispectral and radar data were used to comprehensively map geological
contacts, lithologies and structural elements controlling gold-bearing quartz veins in the …

Machine learning and remote sensing-based lithological mapping of the Duwi Shear-Belt area, Central Eastern Desert, Egypt

SM Ghoneim, Z Hamimi, K Abdelrahman, MA Khalifa… - Scientific Reports, 2024 - nature.com
Abstract Machine learning and remote sensing techniques are widely accepted as valuable,
cost-effective tools in lithological discrimination and mineralogical investigations. The …

A new deep learning approach based on bilateral semantic segmentation models for sustainable estuarine wetland ecosystem management

HN Pham, KB Dang, TV Nguyen, NC Tran… - Science of The Total …, 2022 - Elsevier
Nowadays, estuarial areas have been strongly affected by the construction of electrical
power dams from upstream, downstream urbanization and many types of hazards along the …

[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 …

Data integration for lithological mapping using machine learning algorithms

HS Manap, BT San - Earth Science Informatics, 2022 - Springer
The aim of this study is to compare and evaluate the performances of different classification
algorithms (Maximum Likelihood Classification [MLC], Random Forest [RF], Support Vector …

[HTML][HTML] Remote sensing and geochemistry of A-type granites, North Arabian-Nubian shield: Insights into the origin and evolution of the granitic suites and processes …

SMA Khashaba, NH El-Shibiny, SM Hassan… - Ore Geology …, 2024 - Elsevier
The Nikeiba composite A-type magmatism of the South Eastern Desert of Egypt is
subdivided into two magmatic phases, an older one including syenogranites and alkali …

The Tectonic Map and Structural Provinces of the Late Neoproterozoic Egyptian Nubian Shield: Implications for Crustal Growth of the Arabian–Nubian Shield (East …

Z Hamimi, W Hagag, H Fritz, H Baggazi… - Frontiers in Earth …, 2022 - frontiersin.org
The Late Neoproterozoic Egyptian Nubian Shield (ENS) has attracted increasing attention
since the establishment of the Egyptian Geological Survey and Mining Authority (EGSMA …

Genesis and evaluation of heavy minerals in black sands: A case study from the southern Eastern Desert of Egypt

MZ Khedr, H Zaghloul, E Takazawa, H El-Nahas… - Geochemistry, 2023 - Elsevier
Black sands in the southern Eastern Desert (SED) of Egypt contain substantial reserves of
heavy minerals (up to 5%), and are found mainly in three basins namely: Hodein, Ibib and …

Using remote sensing data for geological mapping in semi-arid environment: a machine learning approach

AEA El Fels, M El Ghorfi - Earth Science Informatics, 2022 - Springer
The geological map encapsulates basic information that can be crucial in a multitude of
fields such as landslide risk assessment, engineering projects, as well as petroleum and …