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    Historical and projected forest cover changes in the Mount Kenya Ecosystem: Implications for sustainable forest management by Brian Rotich, Abdalrahman Ahmed, Benjamin Kinyili, Harison Kipkulei

    Published 2025-06-01
    “…Land Use Land Cover (LULC) maps for 2000, 2014, and 2023 were classified using Random Forest (RF) in Google Earth Engine (GEE). Explanatory factors of LULC change (slope, aspect, population density, proximity to rivers, roads, and towns) were used to project LULC for 2035 using Cellular Automata and Markov Chain Analysis (CA-MCA).Six LULC types (open forest, closed forest, cropland, bareland, built-up, shrubland and grassland) were successfully classified with accuracies exceeding 82.5% and Kappa coefficients above 0.77. …”
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