A review of machine learning in processing remote sensing data for mineral exploration

H Shirmard, E Farahbakhsh, RD Müller… - Remote Sensing of …, 2022 - Elsevier
The decline of the number of newly discovered mineral deposits and increase in demand for
different minerals in recent years has led exploration geologists to look for more efficient and …

[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 …

Integration of ASTER satellite imagery and 3D inversion of aeromagnetic data for deep mineral exploration

AM Eldosouky, RAY El-Qassas, AB Pour… - Advances in Space …, 2021 - Elsevier
Due to high metal values and raised difficulties in finding superficial deposits, the
exploration for mineral resources needs to reach greater depths. To achieve this objective …

[HTML][HTML] Neuro-Fuzzy-AHP (NFAHP) technique for copper exploration using Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and …

A Shirazi, A Hezarkhani, A Beiranvand Pour, A Shirazy… - Remote Sensing, 2022 - mdpi.com
Fusion and analysis of thematic information layers using machine learning algorithms
provide an important step toward achieving accurate mineral potential maps in the …

[HTML][HTML] 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 …

Application of remote sensing data in gold exploration: targeting hydrothermal alteration using Landsat 8 imagery in northern Portugal

R Frutuoso, A Lima, AC Teodoro - Arabian Journal of Geosciences, 2021 - Springer
Mapping hydrothermal alteration minerals and structural lineaments using Landsat 8
multispectral imagery provides valuable information for mineral exploration. In northern …

Lithological and alteration mineral mapping for alluvial gold exploration in the south east of Birao area, Central African Republic using Landsat-8 Operational Land …

M Traore, JDT Wambo, CP Ndepete, S Tekin… - Journal of African Earth …, 2020 - Elsevier
Geological field mapping and mineral exploration still remain very laborious in many parts of
the inter tropical regions of African plate due to remoteness, low security and high cost …

[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 …

Litho-structural and hydrothermal alteration mapping for mineral prospection in the Maider basin of Morocco based on remote sensing and field investigations

S Courba, H Youssef, A Jamal, O Abdessalam… - Remote Sensing …, 2023 - Elsevier
Landsat 8 OLI images were processed using band ratio (RB), principal component analysis
(PCA), composite ratios (CR) 4/2–6/7-6/5 were used to map lithology, geological structures …

Mapping lithological units, structural lineaments and alteration zones in the Southern Kibi-Winneba belt of Ghana using integrated geophysical and remote sensing …

ED Forson, A Menyeh, DD Wemegah - Ore Geology Reviews, 2021 - Elsevier
Geophysical and remote sensing datasets were employed to delineate potential zones of
gold mineralization within the southern Kibi-Winneba belt of Ghana. The study area, which is …