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Kuhn, Stephen; Cracknell, Matthew J.; Reading, Anya M. (2019) Lithological mapping in the Central African Copper Belt using Random Forests and clustering: Strategies for optimised results. Ore Geology Reviews, 112. doi:10.1016/j.oregeorev.2019.103015

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Reference TypeJournal (article/letter/editorial)
TitleLithological mapping in the Central African Copper Belt using Random Forests and clustering: Strategies for optimised results
JournalOre Geology Reviews
AuthorsKuhn, StephenAuthor
Cracknell, Matthew J.Author
Reading, Anya M.Author
Year2019 (September)Volume112
PublisherElsevier BV
DOIdoi:10.1016/j.oregeorev.2019.103015Search in ResearchGate
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Mindat Ref. ID236290Long-form Identifiermindat:1:5:236290:2
GUID0
Full ReferenceKuhn, Stephen; Cracknell, Matthew J.; Reading, Anya M. (2019) Lithological mapping in the Central African Copper Belt using Random Forests and clustering: Strategies for optimised results. Ore Geology Reviews, 112. doi:10.1016/j.oregeorev.2019.103015
Plain TextKuhn, Stephen; Cracknell, Matthew J.; Reading, Anya M. (2019) Lithological mapping in the Central African Copper Belt using Random Forests and clustering: Strategies for optimised results. Ore Geology Reviews, 112. doi:10.1016/j.oregeorev.2019.103015
In(2019) Ore Geology Reviews Vol. 112. Elsevier BV

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Kuhn, Stephen, Cracknell, Matthew J., Reading, Anya M. (2018) Lithologic mapping using Random Forests applied to geophysical and remote-sensing data: A demonstration study from the Eastern Goldfields of Australia. Geophysics, 83 (4) doi:10.1190/geo2017-0590.1
Kuhn, Stephen, Cracknell, Matthew J., Reading, Anya M., Sykora, Stephanie (2020) Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: The value of using a soft classifier. GEOPHYSICS, 85 (6) doi:10.1190/geo2019-0461.1
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Pour, Amin Beiranvand; Hashim, Mazlan; Hong, Jong Kuk; Park, Yongcheol (2019) Lithological and alteration mineral mapping in poorly exposed lithologies using Landsat-8 and ASTER satellite data: North-eastern Graham Land, Antarctic Peninsula. Ore Geology Reviews, 108. doi:10.1016/j.oregeorev.2017.07.018
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