A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities

W Han, X Zhang, Y Wang, L Wang, X Huang… - ISPRS Journal of …, 2023 - Elsevier
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …

A review on advancements in lithological map** utilizing machine learning algorithms and remote sensing data

MA El-Omairi, A El Garouani - Heliyon, 2023 - cell.com
Lithological map** is a fundamental undertaking in geological research, mineral resource
exploration, and environmental management. However, conventional methods for …

Machine learning and remote sensing-based lithological map** 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 …

[HTML][HTML] PRISMA hyperspectral data for lithological map** 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 map**. The latter is still a challenge for geologists and its lack hinders …

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 …

[HTML][HTML] Multi-level voxel representations for digital twin models of tunnel geological environment

H Wu, Q Zhu, Y Guo, W Zheng, L Zhang… - International Journal of …, 2022 - Elsevier
Intelligent tunnel engineering requires accurate and comprehensive digital twin models to
represent complex geological environments. The digital twin model of tunnel geological …

Application of remote sensing data integration in detecting mineralized granitic zones: A case study of the Gabal Al-Ijlah Al-Hamra, Central Eastern Desert, Egypt

SMA Khashaba, NH El-Shibiny, SM Hassan… - Journal of African Earth …, 2023 - Elsevier
Abstract The Gabal Al-Ijlah Al-Hamra granites in the Central Eastern Desert of Egypt are rich
in rare metal-bearing minerals. The enhanced Senetinal-2-Planet fused image with 3 m …

[HTML][HTML] Multi-criteria ground water potentiality map** 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] Lithology classification in semi-arid area combining multi-source remote sensing images using support vector machine optimized by improved particle swarm …

J Lu, L Han, L Liu, J Wang, Z **a, D **… - International Journal of …, 2023 - Elsevier
The development of multi-source remote sensing technologies is helpful for geologists to
obtain more comprehensive and complete lithological maps. In recent years, establishing …

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 …