Résumé: This study examines the influence of green structures on the health and well-being of users in the city of Annaba, Algeria. A multidimensional grid of indicators is employed to assess three areas: the city center, the outskirts, and the suburban extension. The indicators analysed include accessibility, safety, biodiversity, aesthetics, and connectivity, with the objective of determining their influence on the quality of life and satisfaction of the inhabitants. The findings demonstrate that green structures in the city center are more effective in terms of connectivity, accessibility, and quality of infrastructure, which contributes to their high level of attractiveness. Conversely, green spaces in peripheral and suburban extension areas show deficiencies in connectivity and accessibility. However, they remain popular due to their role in fostering sociability and perceived safety by users. The study emphasises the need for a differentiated approach to enhance the governance of green structures in each area. Key recommendations include improving the connectivity of green spaces in the outskirts, reinforcing security measures, and creating community facilities to promote social attractiveness. Additionally, it is recommended to establish environmental education programmes to encourage active citizen participation. Ultimately, the implementation of continuous performance monitoring systems for green structures will allow local authorities to adapt their policies more efficiently and sustainably. Keywords: Health, well-being, green structure, environmental performance, sustainability, indicator grid, Annaba.

Résumé: Annaba, Algeria's fourth largest city, has acquired national and inter￾national importance due to its openness to the Mediterranean Sea. Over the last ten years, its rapid sprawl has continued to exacerbate the situa￾tion, leading to increased consumption of space, particularly green struc￾tures. The main objective of this study is to assess changes in land use and land cover (LULC) over the last 30 years, focusing on the green struc￾ture of the future metropolis. Google Earth Engine (GEE) was used to explore land cover classifica￾tion using the random forest algorithm. A spatial model of the main changes in land cover between 1984, 2004 and 2021 was also generated. The principal drivers of land use change are human activities and ur￾banization, including fires and land clearing.The spatial pattern of change is mainly due to inappropriate investment policy and uncontrolled ur￾banisation. This is explained by the main results of the land use conver￾sion processes between 1984 and 2021. The comparison shows a decline in forests and green land, mainly due to conversion to urbanised land, cropland, bare land or other land. Similarly, bare land and other types of land declined over the 1984-2004 period in favour of urbanised or culti￾vated land. Furthermore, it compromises any possibility of sustainable development at a time when we are facing climate change. Keywords: Annaba, Google earth engine, Green structure, LULC, Random forest, Urban growth