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Gbenga Abayomi Afuye

Biographic Data

ID7572157
NAMEGbenga Abayomi Afuye
GIVEN NAMESGbenga Abayomi
FAMILY NAMEAfuye
SIGNATUREAFUYE G A
AFFILIATIONSUniversity of Fort Hare
ORCID0000-0001-7965-2009
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Analyzing spatiotemporal variations and dynamics of vegetation over Amathole district municipality in South Africa

    Open Access•Gbenga Abayomi Afuye, Ahmed Mukalazi Kalumba et al.•ARTICLE•Environment Development and…•2024

    Global biodiversity loss and ecosystem services are significantly impacted by vegetation stress and environmental degradation. The study evaluates vegetation dynamics and long-term meteorological variables in Amathole District Municipality, South Africa, using satellite-derived vegetation indices from 2001 to 2022. The study utilised Terra MODIS and Landsat time series data to evaluate vegetation cover variation using the seasonal Vegetation Cond…

  • Earth Observation Systems and Pasture Modeling

    Open Access•Lwandile Nduku, Ahmed Mukalazi Kalumba et al.•ARTICLE•ISPRS International Journal of…•2021

    An Earth observation system (EOS) is essential in monitoring and improving our understanding of how natural and managed agricultural landscapes change over time or respond to climate change and overgrazing. Such changes can be quantified using a pasture model (PM), a critical tool for monitoring changes in pastures driven by the growing population demands and climate change-related challenges and thus ensuring a sustainable food production system…

  • Assessment of the Sendai framework for disaster risk reduction studies since 2015

    Open Access•Emmanuel Tolulope Busayo, Ahmed Mukalazi Kalumba et al.•ARTICLE•International Journal of Disaster…•2020

    The Sendai Framework for Disaster Risk Reduction (SFDRR) (2015–2030) was specifically initiated to advance Disaster Risk Reduction (DRR) policy globally, to further understand the complexity of disaster risk in our contemporary time. Despite the potency of the framework, its implementation remains low at the local level. This paper provides a portrait of the intellectual stance of SFDRR studies. Our bibliometric exploration over the survey period…

No prominent works on this page.

  • Assessment of the Sendai framework for disaster risk reduction studies since 2015

    Open Access•Emmanuel Tolulope Busayo, Ahmed Mukalazi Kalumba et al.•ARTICLE•International Journal of Disaster…•2020

    The Sendai Framework for Disaster Risk Reduction (SFDRR) (2015–2030) was specifically initiated to advance Disaster Risk Reduction (DRR) policy globally, to further understand the complexity of disaster risk in our contemporary time. Despite the potency of the framework, its implementation remains low at the local level. This paper provides a portrait of the intellectual stance of SFDRR studies. Our bibliometric exploration over the survey period…

  • Earth Observation Systems and Pasture Modeling

    Open Access•Lwandile Nduku, Ahmed Mukalazi Kalumba et al.•ARTICLE•ISPRS International Journal of…•2021

    An Earth observation system (EOS) is essential in monitoring and improving our understanding of how natural and managed agricultural landscapes change over time or respond to climate change and overgrazing. Such changes can be quantified using a pasture model (PM), a critical tool for monitoring changes in pastures driven by the growing population demands and climate change-related challenges and thus ensuring a sustainable food production system…

  • Analyzing spatiotemporal variations and dynamics of vegetation over Amathole district municipality in South Africa

    Open Access•Gbenga Abayomi Afuye, Ahmed Mukalazi Kalumba et al.•ARTICLE•Environment Development and…•2024

    Global biodiversity loss and ecosystem services are significantly impacted by vegetation stress and environmental degradation. The study evaluates vegetation dynamics and long-term meteorological variables in Amathole District Municipality, South Africa, using satellite-derived vegetation indices from 2001 to 2022. The study utilised Terra MODIS and Landsat time series data to evaluate vegetation cover variation using the seasonal Vegetation Cond…

Geography (3 works) · Climate change (2 works) · Ecology (2 works) · Economics (2 works) · Environmental Science (2 works) · Physical geography (2 works) · Political science (2 works) · Remote Sensing in Agriculture (2 works) · Species Distribution and Climate Change (2 works) · Agricultural economics (1 work)

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