Remote sensing based vegetation extraction and change detection in the National Park of Niokolo-Koba in southeast of Senegal

A 45-year analysis of Niokolo-Koba National Park in Senegal reveals significant vegetation dynamics linked to rainfall variability. Using multi-temporal Landsat imagery (1972–2016) and the Normalized Difference Vegetation Index (NDVI), researchers identified a regression of gallery forests and woodland savannahs from 1972 to 2002, followed by a reversal trend between 2002 and 2016. Wetlands exhibited alternating phases of progression and regression. High accuracy in classification (81.72%–93.50%) and change detection (74.90%–80.72%) underscored the study's robustness. These findings highlight the park's vegetation response to climate variability, providing critical insights for integrated management strategies in Senegal's protected areas.

NDIAYE, M. L., Traore, V. B., & Diaw, A. T. (2017). Remote sensing based vegetation extraction and change detection in the National Park of Niokolo-Koba in southeast of Senegal. Applied Journal of Environmental Engineering Science, Vol 3, No 4 (2017). https://doi.org/10.48422/IMIST.PRSM/AJEES-V3I4.10111