Characterization of two squares in Rome through remote sensing and environmental data

With very high resolution Pléiades Neo sensor data acquired in two public spaces in the city of Rome, the object-basedimage analysis (OBIA) method is applied. The goal of the work is to characterize and quantify the vehicles, with asynoptic view. The data on the traffic flow data expressed as equivalent vehicles/hour relating to the rush hour of thewinter weekday morning have been used to make a calculation of the polluting emissions in g/h present in the twoareas. The results obtained, while requiring further verifications on other study areas, have highlighted the validityof the method and its reproducibility on a large scale for support in urban planning. The multidisciplinary work, inparticular, wants to offer the work of an experimental nature and intends to offer a starting point for reflection on thecurrent use of some public spaces of historical and architectural value. Over the centuries, these public spaces haveseen the conditions of accessibility and usability worsen for people of different age groups