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 …

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 …

Geological mapping using drone-based photogrammetry: An application for exploration of vein-type Cu mineralization

M Honarmand, H Shahriari - Minerals, 2021 - mdpi.com
In this research, drone-based photogrammetry was utilized for mapping geology with the
objective of mineral exploration in the Shahzadeh Abbas Cu deposit, Kerman province, Iran …

Evaluating ASTER data and field spectrometry for lithological discrimination in semi-arid region, Northeast Kohat Plateau, Pakistan

M Nouman, M Hanif, SaleemUllah… - Environmental Earth …, 2024 - Springer
This study employs data of the Advanced Spaceborne Thermal Emission and Reflection
Radiometer (ASTER) sensor to delineate and map the distribution of sedimentary lithologies …

Remote sensing for lithology mapping in vegetation-covered regions: methods, challenges, and opportunities

Y Chen, Y Wang, F Zhang, Y Dong, Z Song, G Liu - Minerals, 2023 - mdpi.com
Remote sensing (RS) technology has significantly contributed to geological exploration and
mineral resource assessment. However, its effective application in vegetated areas …

Attention to fires: Multi-channel deep learning models for wildfire severity prediction

S Monaco, S Greco, A Farasin, L Colomba, D Apiletti… - Applied Sciences, 2021 - mdpi.com
Wildfires are one of the natural hazards that the European Union is actively monitoring
through the Copernicus EMS Earth observation program which continuously releases public …

Hyperspectral field spectroscopy and SENTINEL-2 Multispectral data for minerals with high pollution potential content estimation and mapping

B Dkhala, N Mezned, C Gomez… - Science of The Total …, 2020 - Elsevier
Mining in Tunisia generates a large amount of tailings charged with toxic minerals. As these
tailings have a wide spread distribution, it is important to characterize and estimate their …

Lithological Mapping of Kohat Basin in Pakistan Using Multispectral Remote Sensing Data: A Comparison of Support Vector Machine (SVM) and Artificial Neural …

F Elahi, K Muhammad, SU Din, MFA Khan, S Bashir… - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI)-based multispectral remote sensing has been the best supporting
tool using limited resources to enhance the lithological mapping abilities with accuracy …

Applying optimum fusion method to improve lithological mapping of sedimentary rocks using sentinel-2 and ASTER satellite images

M Kabolizadeh, K Rangzan, SS Mousavi… - Earth Science …, 2022 - Springer
This study was set the yield a precise map of geological formations appliying satellite image
fusion techniques. Geologic maps are one of the most valuable sources for understanding …

Mapping ultramafic complexes using airborne imaging spectroscopy and spaceborne data in Arctic regions with abundant lichen cover, a case study from the …

S Salehi, C Mielke, C Rogass - European Journal of Remote …, 2020 - Taylor & Francis
This study investigates the usage of HyMAP airborne hyperspectral and Sentinel-2, ASTER
and Landsat-8 OLI spaceborne multispectral data for detailed mapping of mineral resources …