In the current work, we explore the use of remote sensing and GIS techniques, specifically focusing on the Normalized Difference Vegetation Index (NDVI) to monitor the vegetation dynamics. By integrating satellite imagery and GIS, NDVI provides valuable insights into vegetation health and vigor. This study highlights the process of acquiring, pre-processing, and analyzing satellite images to derive NDVI values. The method used in our investigation offers a robust and efficient technique to assess the vegetation changes among Boutaleb Mountains. The superposition of the NDVI’ layers allowed us to estimate the regression of the vegetation cover between 2010 and 2020, which up to 3226 ha for the dense and sparse vegetation. The significant regression of the vegetation cover over the study period obliges the concerned administration to put in place a management and conservation plans for the natural heritage of the Boutaleb Mountains.