Monitoring and analyzing (CO2) concentrations and vegetation health in Lima, Peru using satellite images

Climate change, driven significantly by carbon diox-ide (CO2) emissions, poses a major threat globally, contributing to extreme weather events and health impacts. This study focuses on Lima, Peru, a city facing severe air pollution, to monitor and analyze CO2 concentrations using satellite imagery. By leveraging Sentinel-2 and OCO-3 data, we examine the relationship between CO2 levels and vegetation health, using vegetation indices such as NDVI. Our findings reveal temporal variability in these relationships, underscoring the complex interactions between atmospheric CO2 and possible vegetation influenced by seasonal and environmental factors. The study recommends increasing the frequency of satellite observations and integrating these findings with climate models to improve urban green space management and climate change mitigation strategies. This approach enhances spatial and temporal resolution of CO2 data, facilitating informed decision-making for environmental and public health interventions.