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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 …
Map** of mineral resources and lithological units: A review of remote sensing techniques
R Rajan Girija, S Mayappan - … Journal of Image and Data Fusion, 2019 - Taylor & Francis
The remote sensing (RS) techniques have become a guiding and promising tool for mineral
exploration and map** of lithological units. The RS for mineral exploration begins with …
exploration and map** of lithological units. The RS for mineral exploration begins with …
Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data
Integrating various tools in targeting mineral deposits increases the chance of adequate
detection and characterization of mineralization zones. Selecting a convenient dataset is a …
detection and characterization of mineralization zones. Selecting a convenient dataset is a …
[HTML][HTML] Twenty years of ASTER contributions to lithologic map** and mineral exploration
M Abrams, Y Yamaguchi - Remote Sensing, 2019 - mdpi.com
The Advanced Spaceborne Thermal Emission and Reflection Radiometer is one of five
instruments operating on the National Aeronautics and Space Administration (NASA) Terra …
instruments operating on the National Aeronautics and Space Administration (NASA) Terra …
[HTML][HTML] Stacked vector multi-source lithologic classification utilizing Machine Learning Algorithms: Data potentiality and dimensionality monitoring
Abstract Machine Learning Algorithms (MLAs) have recently introduced considerable
lithologic map**. Thus, this study scrutinizes the efficacy of Artificial Neural Network …
lithologic map**. Thus, this study scrutinizes the efficacy of Artificial Neural Network …
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 …
Machine learning prediction of ore deposit genetic type using magnetite geochemistry
Magnetite geochemistry is crucial for the discrimination of ore deposit genetic type.
Traditional two-dimensional discrimination diagrams based on particular data for limited …
Traditional two-dimensional discrimination diagrams based on particular data for limited …
Integrating remotely sensed and GIS data for the detailed geological map** in semi-arid regions: case of Youks les Bains Area, Tebessa Province, NE Algeria
Detailed geologic map** provides valuable informations about the spatial distribution of
lithological outcrops and lineaments; required to carry out the necessary investigations of …
lithological outcrops and lineaments; required to carry out the necessary investigations of …
Lithological discrimination and mineralogical map** using Landsat-8 OLI and ASTER remote sensing data: Igoudrane region, jbel saghro, Anti Atlas, Morocco
This study aims to delineate the lithological formations, in addition to a mineralogical
map** comparing between the ASTER and Landsat-8 OLI sensors in the Igoudrane …
map** comparing between the ASTER and Landsat-8 OLI sensors in the Igoudrane …
Data integration for lithological map** using machine learning algorithms
HS Manap, BT San - Earth Science Informatics, 2022 - Springer
The aim of this study is to compare and evaluate the performances of different classification
algorithms (Maximum Likelihood Classification [MLC], Random Forest [RF], Support Vector …
algorithms (Maximum Likelihood Classification [MLC], Random Forest [RF], Support Vector …