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dc.contributor.advisorGebreslasie, Michael Teweldemedhin.
dc.contributor.advisorIsmail, Riyad Abdool Hak.
dc.creatorReddy, Nicole.
dc.date.accessioned2017-08-18T08:41:44Z
dc.date.available2017-08-18T08:41:44Z
dc.date.created2017
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10413/14737
dc.descriptionMaster of Science in Geography. University of KwaZulu-Natal, Durban 2017.en_US
dc.description.abstractAbstract available in PDF file.en_US
dc.language.isoen_ZAen_US
dc.subject.otherRemote sensing data.en_US
dc.subject.otherCommercial forest plantations.en_US
dc.subject.otherForest structural attributes.en_US
dc.subject.otherForest ecosystem dynamics.en_US
dc.subject.otherGrey level matrices.en_US
dc.titleA statistical approach for modelling forest structural attributes using multispectral remote sensing data within a commercial forest plantation.en_US
dc.typeThesisen_US


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