 The study investigated the dynamics of savanna clearing and land degradation in the metopuba region using algorithms on the Google Earth Engine platform and different satellite products, including land trender and trends earth algorithms to analyze NDVI data from Landsat and Modi's satellites. Results showed that the largest proportions of savanna clearing were detected in the south of metopuba, with variations over time ranging from 0.086M to 2.1 for 6M per year. The study also found that land degradation areas were highest in the pseudo-estpients and centromarine hence mesoregions, with fire frequency increasing with vegetation clearing but remaining relatively stable over native vegetated areas. Overall, satellite sensors and cloud computing platforms are important tools for inspecting long-term trajectories of land occupation and degradation over broad savanna areas. This article was authored by Alana Almeida-Decisa, Linio Suarez-Galvo, Thales Sem Kauting and others. We are article.tv, links in the description below.