Urban green infrastructure plays a critical role in mitigating climate change by sequestering carbon, regulating microclimates, and enhancing urban resilience. This research integrates artificial intelligence (AI), remote sensing, and economic valuation to quantify and evaluate the carbon and ecological value of vegetation across the city of Turin between 2021 and 2023. Using multi-temporal Sentinel-2 imagery processed in Google Earth Engine, vegetation indices (NDVI) were derived and analyzed to capture spatial and seasonal variations in vegetation dynamics. An AI-driven workflow was employed to estimate Above-Ground Biomass (AGB) and corresponding CO₂ sequestration based on established empirical models. The results revealed clear spatiotemporal trends: vegetation density peaked during summer and declined in winter, with interannual variation reflecting the influence of climatic conditions, particularly the drought of 2022.