Utilising RGB drone imagery and vegitation indices for accurate aboveground biomass estimation a case study of the cradle nature reserve Gauteng Province South Africa

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dc.article.end-page25en
dc.article.start-page1en
dc.citation.doi10.1080/10106049.2024.2390512en
dc.contributor.authorCharles Matyukiraen
dc.contributor.authorPaidamwoyo Mhangaraen
dc.date.accessioned2024-10-23T10:59:52Z
dc.date.available2024-10-23T10:59:52Z
dc.facultyFACULTY OF SCIENCEen
dc.identifier.citationWOSen
dc.identifier.issn1010-6049en
dc.identifier.urihttps://hdl.handle.net/10539/41864
dc.journal.titleUtilising RGB drone imagery and vegitation indices for accurate aboveground biomass estimation a case study of the cradle nature reserve Gauteng Province South Africaen
dc.journal.volume39en
dc.publisherTAYLOR & FRANCIS LTDen
dc.school5.04en
dc.titleUtilising RGB drone imagery and vegitation indices for accurate aboveground biomass estimation a case study of the cradle nature reserve Gauteng Province South Africaen
dc.typeJournal Articleen
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