Using UAV multispectral photography to discriminate plant species in a seep wetland of the fynbos biome

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dc.contributor.authorMusungu, Kevin
dc.contributor.authorDube, Timothy
dc.contributor.authorSmit, Julian
dc.date.accessioned2025-01-23T07:48:56Z
dc.date.available2025-01-23T07:48:56Z
dc.date.issued2024
dc.description.abstractWetlands harbour a wide range of vital ecosystems. Hence, mapping wetlands is essential to conserving the ecosystems that depend on them. However, the physical nature of wetlands makes fieldwork difficult and potentially erroneous. This study used multispectral UAV aerial photography to map ten wetland plant species in the Fynbos Biome in the Steenbras Nature Reserve. We developed a methodology that used K-Nearest Neighbour (KNN), Support Vector Machine (SVM), and Random Forest (RF) machine learning algorithms to classify ten wetland plant species using the preselected bands and spectral indices. The study identified Normalized green red difference index (NGRDI), Red Green (RG) index, Green, Log Red Edge (LogRE), Normalized Difference Red-Edge (NDRE), Chlorophyll Index Red-Edge (CIRE), Green Ratio Vegetation Index (GRVI), Normalized Difference Water Index (NDWI), Green Normalized Difference Vegetation Index (GNDVI) and Red as pertinent bands and indices for classifying wetland plant species in the Proteaceae, Iridaceae, Restionaceae, Ericaceae, Asteraceae and Cyperaceae families.
dc.identifier.citationMusungu, K., Dube, T., Smit, J. and Shoko, M., 2024. Using UAV multispectral photography to discriminate plant species in a seep wetland of the Fynbos Biome. Wetlands Ecology and Management, 32(2), pp.207-227.
dc.identifier.urihttps://doi.org/10.1007/s11273-023-09971-y
dc.identifier.urihttps://hdl.handle.net/10566/19928
dc.language.isoen
dc.publisherSpringer Science and Business Media B.V.
dc.subjectFynbos
dc.subjectIndices
dc.subjectMachine learning
dc.subjectPigments
dc.subjectUnmanned aerial vehicles
dc.titleUsing UAV multispectral photography to discriminate plant species in a seep wetland of the fynbos biome
dc.typeArticle

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