Geochemistry and Geologic Mapping
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Scope of this subject
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.
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Research vocabulary
mineral exploration; uranium exploration; Capricorn Orogen; distal footprints; geochemical exploration; airborne radiometric survey; geochemical anomalies; stream sediment geochemistry; geological sample; gold prospecting; mineral mapping; airborne geophysical survey; geochemical mapping; radiometric survey; uranium mineralization; mineral resource assessment; mineral resource potential; mineral prospectivity mapping; geochemical sample; lithological mapping; airborne gamma-ray survey; ASTER imagery; band ratio; radiometric mapping; geochemical survey
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Numeric address and provenance
Morton address: 36183588861545563 · morton4x16-v1
Coordinates: (3, 17, 1702, 12157). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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