Air quality data - Comunitat Valenciana

PM2.5 maps are a central component of air quality monitoring and epidemiological studies. Modelling of air pollutants using remote sensing data relies heavily on the development of multiple layers of information to train the prediction models. This paper proposes a workflow for mapping PM2.5 based on open data. With a data science approach, the input data were AOD (MODIS), atmospheric variables (MERRA-2), land use (CORINE), terrain elevation (DEM) and ground measurements of PM2.5.