Geochemical characteristics and mapping of Reşadiye (Tokat-Türkiye) bentonite deposits using machine learning and sub-pixel mixture algorithms

Keyphrases

• Machine Learning 100%
• Geochemical Characteristics 100%
• Bentonite 100%
• Tokat 100%
• Subpixel Mixture 100%
• Geochemical Mapping 100%
• Smectite 36%
• Clay Minerals 27%
• Argillic 27%
• Artificial Neural Network 18%
• Clay 18%
• Mining Method 18%
• Kaolin 18%
• Mineral Mapping 18%
• X Ray Diffraction 9%
• Biotite 9%
• In Situ 9%
• Montmorillonite 9%
• Dolomite 9%
• Central Anatolia 9%
• Remote Sensing Data 9%
• Support Vector Machine Algorithm 9%
• Spatial Distribution 9%
• Dacite 9%
• Andesite 9%
• K-feldspar 9%
• Pyroclastic Rock 9%
• Support Vector Machine 9%
• Radiometer 9%
• Spaceborne 9%
• Thermal Emission 9%
• Thermal Reflection 9%
• Satellite Data 9%
• Classification Methods 9%
• Quartz Mineral 9%
• Rhyolite 9%
• Trachyte 9%
• Ore Minerals 9%
• Opal-CT 9%
• Remote Sensing Studies 9%
• Clinoptilolite 9%
• Spectrum Measurement 9%
• Spectral Classification 9%
• Diagenetic Alteration 9%
• Network Machine Learning 9%
• Lithological Mapping 9%
• Post-mining 9%
• Sub-pixel Unmixing 9%
• Ash-flow Tuff 9%
• Sub-pixel Algorithm 9%
• Unmixing Algorithms 9%

Earth and Planetary Sciences

• Machine Learning 100%
• Bentonite 100%
• Montmorillonite 45%
• Clay Mineral 27%
• Remote Sensing 18%
• Support Vector Machine 18%
• Artificial Neural Network 18%
• Peridotite 9%
• Petrography 9%
• Calcite 9%
• X Ray Diffraction 9%
• Spatial Distribution 9%
• Andesite 9%
• Dacite 9%
• ASTER 9%
• Satellite Data 9%
• Clinoptilolite 9%
• Rhyolite 9%
• Ore Mineral 9%
• Dolomite 9%
• Ash Flow 9%