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Tabaro Kabanda

Biographic Data

ID6320897
NAMETabaro Kabanda
GIVEN NAMESTabaro
FAMILY NAMEKabanda
SIGNATUREKABANDA T
AFFILIATIONSSol Plaatje University
ORCID0000-0002-4954-0089
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS3
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Mapping Africa's Climate Extremes

    Open Access•Tabaro Kabanda•ARTICLE•Geo Geography and Environment•2025

    The thermal equator, the latitudinal position of maximum mean annual surface temperature, represents a dynamic boundary in Earth's climate system. This study presents a high‐resolution, longitudinally segmented analysis of Africa's thermal equator using CHELSA V2.1 baseline data and downscaled CMIP6 projections under the SSP3‐7.0 scenario. I delineated the equator for 1981–2010, 2011–2040 and 2041–2070 and quantified shifts across longitudinal tr…

  • Monitoring urban dynamics using time-series satellite imagery in Dodoma, Tanzania

    Tabaro Kabanda, Albert Whata•ARTICLE•African Geographical Review•2024

    This study examines the changes in Dodoma between 2014 and 2021 using Landsat and night-time light (NTL) data. The results indicate that the built-up areas have grown by 47.1 km2 between 2014 and 2021. The change point detection results of NTL time series data show that at one period (location 43) of the time series, the probability of a change is very high (> 0.70). This location corresponds to the year 2017. The Bayesian structural time series …

  • Using land cover, population, and night light data to assess urban expansion in Kimberley, South Africa

    Tabaro Kabanda•ARTICLE•South African Geographical Journal•2022

    Information on urban expansion is a significant input in forecasting upcoming land cover and land use changes in a city. This study combines Landsat 8, night-time lights, and population data to assess urban expansion in Kimberley, South Africa from 2013 to 2018. This study used a post-classification change detection approach to measure urban expansion. Urban and non-urban land use classes where the two classes mapped and evaluated for this analys…

  • Declining land for subsistence and small-scale farming in South Africa

    Open Access•Z Lidzhegu, Tabaro Kabanda•ARTICLE•Land Use Policy•2022•Cited by: 3•References: 22

  • Declining land for subsistence and small-scale farming in South Africa

    Open Access•Z Lidzhegu, Tabaro Kabanda•ARTICLE•Land Use Policy•2022•Cited by: 3•References: 22

  • Using land cover, population, and night light data to assess urban expansion in Kimberley, South Africa

    Tabaro Kabanda•ARTICLE•South African Geographical Journal•2022

    Information on urban expansion is a significant input in forecasting upcoming land cover and land use changes in a city. This study combines Landsat 8, night-time lights, and population data to assess urban expansion in Kimberley, South Africa from 2013 to 2018. This study used a post-classification change detection approach to measure urban expansion. Urban and non-urban land use classes where the two classes mapped and evaluated for this analys…

  • Declining land for subsistence and small-scale farming in South Africa

    Open Access•Z Lidzhegu, Tabaro Kabanda•ARTICLE•Land Use Policy•2022•Cited by: 3•References: 22

  • Monitoring urban dynamics using time-series satellite imagery in Dodoma, Tanzania

    Tabaro Kabanda, Albert Whata•ARTICLE•African Geographical Review•2024

    This study examines the changes in Dodoma between 2014 and 2021 using Landsat and night-time light (NTL) data. The results indicate that the built-up areas have grown by 47.1 km2 between 2014 and 2021. The change point detection results of NTL time series data show that at one period (location 43) of the time series, the probability of a change is very high (> 0.70). This location corresponds to the year 2017. The Bayesian structural time series …

  • Mapping Africa's Climate Extremes

    Open Access•Tabaro Kabanda•ARTICLE•Geo Geography and Environment•2025

    The thermal equator, the latitudinal position of maximum mean annual surface temperature, represents a dynamic boundary in Earth's climate system. This study presents a high‐resolution, longitudinally segmented analysis of Africa's thermal equator using CHELSA V2.1 baseline data and downscaled CMIP6 projections under the SSP3‐7.0 scenario. I delineated the equator for 1981–2010, 2011–2040 and 2041–2070 and quantified shifts across longitudinal tr…

Geography (3 works) · Land Use and Ecosystem Services (3 works) · Ecology (2 works) · Environmental Science (2 works) · Impact of Light on Environment and Health (2 works) · Land cover (2 works) · Land use (2 works) · Physical geography (2 works) · Statistics (2 works) · Urban Green Space and Health (2 works)

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