A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
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 …
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
Abstract Machine learning and remote sensing techniques are widely accepted as valuable,
cost-effective tools in lithological discrimination and mineralogical investigations. The …
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 …
In essence, targeting mineralization necessitates exact structural delineation and thorough
lithological map**. The latter is still a challenge for geologists and its lack hinders …
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 …
Albitized granite (ABG) is considered as one of the most significant hosts of rare metals
(RMs). Consequently, adequate recognition of ABG through proper lithological …
(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 …
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
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 …
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
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 …
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 …
obtain more comprehensive and complete lithological maps. In recent years, establishing …
Advanced land imager superiority in lithological classification utilizing machine learning algorithms
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 …
classification schemes, yet determining the best data source for each specific application is …