Spatial dynamics of a classified forest in northwestern Cote d'Ivoire

Spatial dynamics were analyzed using Landsat TM images from 1990, Landsat ETM+ from 2002, Landsat OLI from 2014 and Landsat OLI from 2021, remote sensing and a geographic information system (GIS), in the Seguela classified forest in northwest Cote d'Ivoire. The aim of the present study is to determine the land-use types in the Seguela classified forest, and to analyze the spatio-temporal dynamics of these different land-use types from 1990 to 2021. To do this, a field visit was made to the Seguela classified forest, based on the color composition of the 2021 Landsat OLI image. Maximum likelihood supervised classification was applied. Three transition matrices were used to highlight the conversions undergone by the different land-use units. Mapping results indicated deforestation rates estimated respectively at 28.75% from 1990 to 2002, 23.46% from 2002 to 2014 and 5.70% from 2014 to 2021.