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
- Research works
- 80k fractional, since 1950
- In the world top 10%
- 8k per year above
- Top-10% rate
- 10.0% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +4% the tick is no change
- Largest producer
China
38% of the 10 largest, 2022-now
Discussion
Ask a question or share a note about Geochemistry and Geologic Mapping. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.