Machine Learning for Mineral Prospectivity Mapping leaf node


URI

https://openalex.org/T12157

Label

Machine Learning for Mineral Prospectivity Mapping

Description

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.

Implementation

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    rdfs:label "Machine Learning for Mineral Prospectivity Mapping"@en ;
    rdfs:isDefinedBy openalex: ;
    owl:sameAs <https://en.wikipedia.org/wiki/Mineral_prospecting>,
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    skos:broader oasubfields:1702 ;
    skos:definition "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."@en ;
    skos:inScheme openalex: ;
    skos:prefLabel "Machine Learning for Mineral Prospectivity Mapping"@en ;
    openalex:cited_by_count 1397161 ;
    openalex:works_count 159019 .