Open Data Science Europe Workshop 2021

The study of inhalable particulate matter with diameter equal or less than 2.5 micrometers (PM2.5) is gaining more interest by air quality community since these small particles are considered one of the most harmful air pollutants to all living things. PM2.5 concentrations are usually measured by ground stations; however, it is not possible to have full coverage of estimation from such source solely due to high cost. With the application of machine learning and deep learning algorithms, it became common to estimate PM2.5 using multiple sources like satellites retrievals of Aerosol Optical Depth (AOD) and other auxiliary data, such as meteorological data, land cover, land use, etc. Previous studies were limited by spatial resolution, small coverage, or the gaps in the estimated PM2.5 maps related to the missing satellite retrievals. Up to our knowledge, we are the first to produce high resolution (1 km), full coverage PM2.5 maps of whole Europe for the years 2018–2020 using open-source data. Results will be discussed later during the presentation.