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Cletah Shoko

Biographic Data

ID9612661
NAMECletah Shoko
GIVEN NAMESCletah
FAMILY NAMEShoko
SIGNATURESHOKO C
AFFILIATIONSUniversity of the Witwatersrand
ORCID0000-0003-4222-3539
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Long-term land use and land cover dynamics in the Okavango River Basin

    Open Access•Maria Sigopi, Cletah Shoko et al.•ARTICLE•South African Geographical Journal•2025

    The Okavango River Basin (ORB), one of sub-Saharan Africa’s most ecologically significant and well-preserved endorheic system, is critical for sustaining biodiversity and providing ecosystem services. However, increasing anthropogenic pressure and environmental change demand continuous and precise monitoring to safeguard its natural assets. This study utilized Google Earth Engine (GEE) to present a robust 34-year (1989–2023) analysis using Landsa…

  • Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa

    Open Access•Thabang Maphanga, Timothy Dube et al.•ARTICLE•South African Geographical Journal•2024

    Semi-arid savannah rangelands are diverse environments (in terms of species) that play an important role in sustaining biodiversity and providing ecosystem services. However, the emergence of non-native species, as well as bush encroachment, are currently threatening these (semi-arid rangeland and grassland) ecosystems. The purpose of this study was therefore to map and quantify the spatial extents of non-native woody vegetation in the Kruger Nat…

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

    Chantel Chiloane, Timothy Dube et al.•ARTICLE•South African Geographical Journal•2023

    Groundwater dependent vegetation (GDV) is increasingly threatened by the transformation of the natural environment. An understanding 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…

  • Use of multispectral satellite data to assess impacts of land management practices on wetlands in the Limpopo Transfrontier River Basin, South Africa

    Tatenda Dzurume, Timothy Dube et al.•ARTICLE•South African Geographical Journal•2022

    The study sought to assess the impacts of land use and land cover (LULC) changes on two wetland systems (Makuleke and Nylsvley Nature Reserve) in the Limpopo Transfrontier River Basin (LTRB) in South Africa between 2014 and 2018. To fulfil this objective, multi-date Landsat images were used. Furthermore, the maximum likelihood classification algorithm was used to identify various LULC classes within delineated wetlands. The LULC changes were mapp…

No prominent works on this page.

  • Use of multispectral satellite data to assess impacts of land management practices on wetlands in the Limpopo Transfrontier River Basin, South Africa

    Tatenda Dzurume, Timothy Dube et al.•ARTICLE•South African Geographical Journal•2022

    The study sought to assess the impacts of land use and land cover (LULC) changes on two wetland systems (Makuleke and Nylsvley Nature Reserve) in the Limpopo Transfrontier River Basin (LTRB) in South Africa between 2014 and 2018. To fulfil this objective, multi-date Landsat images were used. Furthermore, the maximum likelihood classification algorithm was used to identify various LULC classes within delineated wetlands. The LULC changes were mapp…

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

    Chantel Chiloane, Timothy Dube et al.•ARTICLE•South African Geographical Journal•2023

    Groundwater dependent vegetation (GDV) is increasingly threatened by the transformation of the natural environment. An understanding 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…

  • Using multisource remotely sensed data and cloud computing approaches to map non-native species in the semi-arid savannah rangelands of Mpumalanga, South Africa

    Open Access•Thabang Maphanga, Timothy Dube et al.•ARTICLE•South African Geographical Journal•2024

    Semi-arid savannah rangelands are diverse environments (in terms of species) that play an important role in sustaining biodiversity and providing ecosystem services. However, the emergence of non-native species, as well as bush encroachment, are currently threatening these (semi-arid rangeland and grassland) ecosystems. The purpose of this study was therefore to map and quantify the spatial extents of non-native woody vegetation in the Kruger Nat…

  • Long-term land use and land cover dynamics in the Okavango River Basin

    Open Access•Maria Sigopi, Cletah Shoko et al.•ARTICLE•South African Geographical Journal•2025

    The Okavango River Basin (ORB), one of sub-Saharan Africa’s most ecologically significant and well-preserved endorheic system, is critical for sustaining biodiversity and providing ecosystem services. However, increasing anthropogenic pressure and environmental change demand continuous and precise monitoring to safeguard its natural assets. This study utilized Google Earth Engine (GEE) to present a robust 34-year (1989–2023) analysis using Landsa…

Geography (3 works) · Cartography (2 works) · Ecology (2 works) · Environmental Science (2 works) · Geology (2 works) · Land cover (2 works) · Land use (2 works) · Physical geography (2 works) · Remote sensing (2 works) · Remote Sensing in Agriculture (2 works)

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