20th May 2026, 10:15 – 12:00 CET

Politecnico di Milano – room T.0.4  and on-line at  webex-room

Mapping nitrogen dioxide (NO₂) concentrations with high spatial resolution is essential for addressing urban air quality challenges. NO₂, primarily emitted by vehicles, industrial activities, and residential heating, is a major contributor to respiratory and cardiovascular diseases and has significant environmental impacts. While Sentinel-5P (S5P) TROPOMI offers unprecedented global daily NO₂ observations, its nominal resolution of 5.5 ×

3.5 km is insufficient for capturing the spatial heterogeneity of urban pollution, where localized hotspotsoften result from high traffic volumes, industrial emissions, or unique urban morphology. To address this limitation, a machine learning-based methodology was developed to downscale S5P data to a resolution of 100m, enabling detailed daily NO₂ mapping.

Speaker:Alessandro Austoni, Mindearth