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 …
(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 …
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 …
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 …
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 …
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 …
mineral resource assessment. However, its effective application in vegetated areas …
Attention to fires: Multi-channel deep learning models for wildfire severity prediction
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 …
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
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 …
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 …
Artificial intelligence (AI)-based multispectral remote sensing has been the best supporting
tool using limited resources to enhance the lithological mapping abilities with accuracy …
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 …
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 …
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 …
and Landsat-8 OLI spaceborne multispectral data for detailed mapping of mineral resources …