Air quality as an operational challenge
Air pollution is a major environmental risk, with significant impacts on public health, ecosystems and economic productivity. According to the World Health Organization, chronic exposure to atmospheric pollutants contributes to millions of premature deaths annually.
In response, the EU Air Quality Directive (EU) 2024/2881 strengthens monitoring requirements and explicitly promotes the integration of atmospheric modelling and Earth Observation services, including Copernicus, to support air quality assessment and policy implementation.
The role and limitations of satellite-based air quality monitoring
Earth Observation provides continuous, large-scale monitoring of atmospheric composition through satellite observations and atmospheric models. Services such as Copernicus CAMS deliver operational information on major air pollutants, but their kilometre-scale spatial resolution limits local-scale analysis.
To overcome this limitation, Latitudo 40 developed Air Quality, an AI-enhanced downstream service that generates high-resolution pollutant maps for operational environmental monitoring.
Latitudo 40’s Air Quality: an AI-enhanced operational downstream service
Latitudo 40's Air Quality is an AI-enhanced operational downstream service developed to bridge the gap between regional atmospheric observations and local-scale environmental intelligence.
The service combines satellite-derived atmospheric products, meteorological variables and deep learning algorithms within a proprietary spatial downscaling framework, transforming coarse-resolution observations into high-resolution air quality information suitable for operational decision-making.
Application of our air quality data processing pipeline for NO₂ mapping in Turin, Italy.
The resulting datasets achieve a spatial resolution of up to 25 metres, enabling the characterization of pollutant distribution at unprecedented spatial detail. This allows air quality conditions to be assessed not only at city scale, but also for individual streets, neighbourhoods, transport corridors, industrial facilities and other critical assets where conventional EO products are unable to capture local variability.
In addition to its spatial granularity, Air Quality provides hourly temporal resolution over 24-hour periods, supporting the identification of diurnal pollution dynamics, traffic-related emission peaks and localized atmospheric events.
The service currently delivers operational estimates for the main pollutants addressed by European air quality legislation, including NO₂, PM₁₀, PM₂.₅, SO₂ and O₃, providing a scalable geospatial intelligence capability for environmental monitoring and evidence-based policy support.
Validation over the Milan metropolitan area
To assess its operational performance, Air Quality was validated through a 24-hour analysis over the Milan metropolitan area, one of Italy's largest and most complex urban environments in terms of atmospheric emissions.
The assessment demonstrated the service's capability to capture both the spatial and temporal variability of major pollutants, consistently identifying concentration peaks during morning and evening commuting hours.
High-resolution maps accurately localized emission hotspots around major transport infrastructures, including Milano Centrale, Garibaldi and Porta Romana railway stations, the Milano Fiera and Rho exhibition districts, the Rogoredo–Santa Giulia–San Donato highway corridor, and industrial facilities such as the Milano Fiorenza maintenance area.
Hourly estimates also revealed localized exceedances of WHO guideline values, with NO₂ concentrations reaching 137.9 µg/m³, O₃ peaking at 183.4 µg/m³, and PM₁₀ exceeding 50 µg/m³ in several locations.
These results demonstrate the capability of AI-enhanced spatial downscaling to resolve fine-scale
pollution dynamics that remain largely undetected by conventional regional-scale atmospheric products.
NO₂, PM₂.₅, PM₁₀, and O₃ Mapping Across the City of Milan
Applications within the EO downstream ecosystem
The availability of high-resolution, satellite-derived air quality information significantly expands the range of operational applications enabled by Earth Observation. Air Quality supports evidence-based decision making across multiple domains, including:
- traffic and mobility management;
- industrial and critical infrastructure monitoring;
- urban planning and Low Emission Zone (LEZ) design;
- population exposure assessment and public health analysis;
- ESG reporting and environmental compliance;
- evaluation of mitigation measures and environmental policies over time.
Air Quality is operationally delivered through Latitudo 40's geospatial intelligence platform, EarthDataInsights®, where it complements a broader portfolio of satellite-derived environmental information. Built on interoperable geospatial services, the platform can be integrated with third-party EO infrastructures, GIS platforms, Digital Twins and decision-support systems, enabling Earth Observation providers and end users to incorporate high-resolution air quality intelligence into existing operational workflows.