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The characterisation of the yellowwoods’ leaf area index, within a southern African mistbelt forest, using geographic information systems and remote sensing.

dc.contributor.advisorMutanga, Onisimo.
dc.contributor.advisorSibanda, Mbulisi.
dc.contributor.authorGumede, Nokwanda.
dc.date.accessioned2020-11-09T09:08:58Z
dc.date.available2020-11-09T09:08:58Z
dc.date.created2020
dc.date.issued2020
dc.descriptionMasters Degree. University of KwaZulu-Natal, Pietermaritzburg.en_US
dc.description.abstractAbstract available in pdf.en_US
dc.identifier.urihttps://researchspace.ukzn.ac.za/handle/10413/18814
dc.language.isoenen_US
dc.subject.otherAfromontane mistbelt forest.en_US
dc.subject.otherLeaf area index.en_US
dc.subject.otherMachine learning algorithms.en_US
dc.subject.otherForests - remote sensing.en_US
dc.titleThe characterisation of the yellowwoods’ leaf area index, within a southern African mistbelt forest, using geographic information systems and remote sensing.en_US
dc.typeThesisen_US

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