Study of the monthly correlation between AOD obtained from MODIS images and particulate matter for a coastal city

Remote sensing applied to the study of air quality has provided new tools for assessing the spatial and temporal distribution of atmospheric pollutants. One of the main satellite parameters used is the optical density of aerosols (AOD), which allows quantifying the attenuation of solar radiation in the presence of aerosols within an atmospheric column. This study was evaluated the correlation between the average monthly ODA levels recorded by the MODIS sensor on the Terra and Aqua platforms (products MYD04_3k and MOD04_3k), and the average monthly concentrations of PM10 and PM
_2.5
measured at 5 continuous monitoring stations in the city of Valencia, Spain, over an 8-year period. Correlation was analyzed in each station, excluding those where the correlation was not significant. Thus a ratio of 0.31 (p <;0.01, n=87) was obtained for PM
₁₀
and 0.49 (p <;0.001, n=74) for PM
_2.5
. Based on this, the generated linear models were analyzed and maps of particulate matter were made. These results were similar to those reported in the literature, showing that it is feasible to use these products to assess the spatial distribution of atmospheric pollutants.