Rokhaya Diouf1, Vieux Boukhaly Traore2, Hyacinthe Sambou3, Mamadou Lamine Ndiaye4, and Bienvenue Sambou5
1 Ecological Monitoring Center (CSE), Dakar, Senegal
2 Laboratoire d’Hydraulique et de mécanique des fluides, FST, Université Cheikh Anta Diop de Dakar B.P. 5005 Dakar-Fann, Senegal
3 Ecological Monitoring Center (CSE), Dakar, Senegal
4 Ecological Monitoring Center (CSE), Dakar, Senegal
5 Ecological Monitoring Center (CSE), Dakar, Senegal
Original language: English
Copyright © 2026 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Measuring the spatial impact of human activities on ecosystems is an important step towards effectively managing the changes affecting these natural areas. The objective of this study is to determine land-use dynamics and changes in vegetation cover in the Sébi-Ponty watershed in the Dakar region. To this end, we defined seven land-use classes (tree crops, water, market gardening, agricultural areas, shrub savanna, bare soil, and built-up areas). Satellite data and Landsat images from three periods (1984, 2000, and 2016) were carefully selected and analyzed. Auxiliary data (GPS surveys, topographic maps, and interviews) were also used. The analysis of changes in the land-use classes was carried out using the integration of geographic information systems (GIS) with ArcGIS software and remote sensing techniques with ENVI software. The results obtained highlighted strong dynamics within the land-use classes. This dynamic is characterized by an increase in tree farming, market gardening, and construction at the expense of bare soil, shrub savanna, and agricultural areas. During the same period, the shrub savanna has significantly declined in vitality, indicating a trend toward degradation. The values of the confusion matrix and the kappa coefficient confirm this situation. These results highlight the relevance of our integrated approach, which is applicable to other similar studies.
Author Keywords: Land use, dynamics, remote sensing, GIS, diachronic analysis, maximum likelihood.
