Predictive modelling of mineral prospectivity using satellite remotesensing and machine learning algorithms

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dc.article.end-page19en
dc.article.start-page1en
dc.citation.doi10.1016/J.RSASE.2024.101316en
dc.contributor.authorMuhammad Mahbooben
dc.contributor.authorTurgay Celiken
dc.contributor.authorBekir Gencen
dc.date.accessioned2024-08-28T12:46:26Z
dc.date.available2024-08-28T12:46:26Z
dc.facultyFACULTY OF ENGINEERING & THE BUILT ENVIRONMENTen
dc.identifier.citationSCOPUSen
dc.identifier.urihttps://hdl.handle.net/10539/40383
dc.journal.titlePredictive modelling of mineral prospectivity using satellite remotesensing and machine learning algorithmsen
dc.journal.volume36en
dc.school3.07en
dc.titlePredictive modelling of mineral prospectivity using satellite remotesensing and machine learning algorithmsen
dc.typeJournal Articleen

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