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

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Date

2023

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor and Francis Group

Abstract

Groundwater 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.

Description

Keywords

Fynbos, Satellite data, Water resources management, Geology, Geophysics, South Africa

Citation

Chiloane, 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/10.1080/03736245.2023.2183890