PM10 and PM2.5 particulate matter represent common air pollutants in cities and constitute a considerable threat to public health while conditioning the daily activity of city people. In large cities, the main sources of PM10 and PM2.5 are diesel engine exhaust, brake dust and particulate matter from vehicle tires. In this note we argue that these particles could be deposited, filtered and considerably reduced if there is a vegetative surface in the neighborhoods of the monitoring stations, thus eliminating a part of these particles and reducing the harmful footprint of these particles. This study evaluates the effect of urban trees on PM10 and PM2.5 removal using a combination of data analysis of 20 air quality monitoring stations and estimation of the amount of trees (surrounding vegetation) through high resolution satellite images to determine the density of trees and vegetation with respect to the total area around the monitoring stations considering a 500 m radius box around the stations. The air quality data and satellite images have been selected in the city of Bogota, the main city of economic activity and most populated urban area in Colombia. From the study we have obtained an empirical account of the relationship between these two variables with an acceptable correlation (R2 = −0.80 and R2 = −0.83 for PM10 and PM2.5 , respectively). In other words, a higher abundance of green space is associated with significantly lower PM10 and PM2.5 . In fact, considering the maximum and minimum values of tree density for stations, it is determined that a 90% decrease in tree density implies a 94% increase in PM10 concentrations and also a 238% increase in PM2.5 concentrations.