Multispectral remote sensing of potential groundwater dependent vegetation in the greater Floristic region of the Western Cape, South Africa

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dc.contributor.authorChiloane, Chantel
dc.contributor.authorDube, Timothy
dc.contributor.authorShoko, Cletah
dc.date.accessioned2023-03-29T10:16:56Z
dc.date.available2023-03-29T10:16:56Z
dc.date.issued2023
dc.description.abstractGroundwater dependent vegetation (GDV) is increasingly threa-tened by the transformation of the natural environment. An under-standing of the nature of GDV at the appropriate scale helps environmental managers make suitable decisions. This study assesses the potential for mapping the distribution of GDV within the Heuningnes Catchment using multispectral remotely sensed data (i.e., Landsat 8 (L8) and Sentinel 2 (S2)), the derived vegetation indices (Normalised Difference Vegetation Index (NDVI) and the Soil-Adjusted Vegetation Index (SAVI)) and in-situ data. The GDV distribution maps were produced by integrating vegetation pro-ductivity, landcover, and topographic layers as GDV indicators.en_US
dc.identifier.citationChiloane, C. et al. (2023). Multispectral remote sensing of potential groundwater dependent vegetation in the greater Floristic region of the Western Cape, South Africa. South African Geographical Journal,. https://doi.org/10.1080/03736245.2023.2183890en_US
dc.identifier.issn2151-2418
dc.identifier.urihttps://doi.org/10.1080/03736245.2023.2183890
dc.identifier.urihttp://hdl.handle.net/10566/8696
dc.language.isoenen_US
dc.publisherTaylor and Francis Groupen_US
dc.subjectFynbosen_US
dc.subjectSatellite dataen_US
dc.subjectWater resources managementen_US
dc.subjectGeologyen_US
dc.subjectGeophysicsen_US
dc.subjectSouth Africaen_US
dc.titleMultispectral remote sensing of potential groundwater dependent vegetation in the greater Floristic region of the Western Cape, South Africaen_US
dc.typeArticleen_US

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