High resolution remote sensing data and environmental data for the classification of a square in Rome, Italy

Abstract

The goal of work is to characterize and quantify the vehicles, with a synoptic vision. With data
from the very high resolution Pléiades Neo sensor captured in a public space (square) of the
city of Rome, the object-based image analysis (OBIA) method is applied. Traffic flow data
expressed as equivalent vehicles/hour and relating to the peak hour of the winter weekday
morning, made it possible to calculate the total polluting emissions expressed in g/h,
indicative of local air quality conditions in the two study areas. The results achieved, while
needing further checks on other areas of study, they have highlighted the validity of method
and its large-scale reproducibility for support in urban planning. The work with a
multidisciplinary character intends to offer a starting point for reflection on the use of spaces
public places of historical architectural value, which over the centuries have seen the
conditions worsen accessibility and usability for people of different age groups