Geochemistry and Geologic Mapping

Geochemistry and Geologic Mapping is a research topic within Artificial Intelligence. Science Explorer counts 80k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the application of machine learning, remote sensing, and compositional data analysis techniques for mineral prospectivity mapping. It explores the use of advanced technologies such as ASTER and hyperspectral imaging to identify geological features, geochemical anomalies, and hydrothermal alterations associated with mineralization. The cluster also delves into the challenges and opportunities in using support vector machines, fractal modeling, and statistical analysis for predicting undiscovered mineral deposits.

• Machine Learning
• Mineral Prospectivity
• Remote Sensing
• Compositional Data Analysis
• Geological Mapping
• Hyperspectral Imaging
• Support Vector Machines
• Fractal Modeling
• Geochemical Anomalies
• Lithological Mapping