Lobelia Air: Low-cost air quality sensor calibration

The Lobelia Air project focuses on calibrating low-cost air quality sensors using AI techniques leveraging on EO derived AQ and meteorological data. What is the challenge that is being addressed? Low-cost air quality sensors are a cheap and easily available alternative to expensive reference stations but show a degradation in accuracy over time. We demonstrate that the data enhanced with meteorological variables and background concentrations from CAMS can be automatically calibrated using AI.