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This study highlights the application of remote sensing and Geographic Information Systems (GIS) in monitoring vegetation formations in the Mayo-Kebbi West province. The general objective of this study is to contribute to better management and conservation of vegetation formations in the Lere-Binder wildlife reserves, Sena-Oura National Park, and the Yamba Berte forest formation. The spatio-temporal evolution of vegetation was analyzed using Sentinel imagery from 2009 and 2019. The results and matrix analyses showed that 42.86% of the land cover units (grassland, shrubland to woodland, and flood zone) experienced a regression of 7.6 ha per year, while 57.14% (water bodies, fields, gallery forest, and open forest) showed progression. It is noteworthy that the main factors driving vegetation degradation are agriculture, livestock farming, logging, charcoal production, and gold mining.
Djangrang Man-Na (Sat,) studied this question.