Natural resources, particularly forests, are vital for ecosystem regulation but face threats like wildfires, increasingly common in Sub-Saharan Africa (SSA). This study evaluates wildfire intensity in central Cameroon (Yoko and Nanga-Eboko) from 2003 to 2023 using geospatial techniques, based on burned area (MCD64A1) and active fire (MCD14DL and Near Real-Time, NRT) images classification. Remote sensing tools like Google Earth Engine (GEE), Moran’s I, and Getis-Ord [Formula: see text] hotspot analysis identified vulnerable areas. Results reveal fire intensities of 49.5–2651.7 ha, with densities of 0–10.89 fires/km2. Temporal trends show increasing burned areas but declining active fires, confirmed by Mann-Kendall and Sen’s slope tests. Anomalies highlight increases of 3.5 ha and two additional fires during specific periods. Fire-prone months are October, November, and December, with an average monthly burned area of 1629.70 ha. Spatial analyses reveal clustering of high-intensity zones, especially outside protected areas (Moran’s I = 0.009081; p < 0.001). These findings highlight the urgent need for improved fire mitigation strategies and landscape restoration to safeguard ecosystems.
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Dahan et al. (2026) studied this question.
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