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Multi-Temporal Evaluation of Quantitative and Phenological Vegetation Dynamics Using Sentinel-2 Images in North Horr (Kenya)

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  • Velia Bigi

    (Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino & Università di Torino, 10125 Torino, Italy
    Both authors contributed equally to this work.)

  • Ingrid Vigna

    (Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino & Università di Torino, 10125 Torino, Italy
    Both authors contributed equally to this work.)

  • Alessandro Pezzoli

    (Interuniversity Department of Regional and Urban Studies and Planning (DIST), Politecnico di Torino & Università di Torino, 10125 Torino, Italy)

  • Elena Comino

    (Department of Environmental, Land and Infrastructure Engineering (DIATI), Politecnico di Torino, 10125 Torino, Italy)

Abstract

According to the Intergovernmental Panel on Climate Change, the Horn of Africa is getting drier. This research aims at assessing browning and/or greening dynamics and the suitability of Sentinel-2 satellite images to map changes in land cover in a semiarid area. Vegetation dynamics are assessed through a remote sensing approach based on densely vegetated areas in a pilot area of North Horr Sub-County, in northern Kenya, between 2016–2020. Four spectral vegetation indices are calculated from Sentinel-2 images to create annual multi-temporal images. Two different supervised classification methods—Minimum Distance and Spectral Angle Mapper—are then applied in order to identify dense vegetated areas. A general greening is found to have occurred in this period with the exception of the year 2020, with an average annual percentage increase of 19%. Results also highlight a latency between climatic conditions and vegetation growth. This approach is for the first time applied in North Horr Sub-County and supports local decision-making processes for sustainable land management strategies.

Suggested Citation

  • Velia Bigi & Ingrid Vigna & Alessandro Pezzoli & Elena Comino, 2021. "Multi-Temporal Evaluation of Quantitative and Phenological Vegetation Dynamics Using Sentinel-2 Images in North Horr (Kenya)," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:24:p:13554-:d:697288
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    References listed on IDEAS

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    4. Ingrid Vigna & Velia Bigi & Alessandro Pezzoli & Angelo Besana, 2020. "Comparison and Bias-Correction of Satellite-Derived Precipitation Datasets at Local Level in Northern Kenya," Sustainability, MDPI, vol. 12(7), pages 1-18, April.
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