The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVIII-G-2025
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1071-2025
https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1071-2025
30 Jul 2025
 | 30 Jul 2025

Integration of Satellite, Models and Ground Sensors for City-scale Air Quality Monitoring through the Open Data Cube

Afshin Moazzam, Daniele Oxoli, Jesus Rodrigo Cedeno Jimenez, and Maria Antonia Brovelli

Keywords: Air Quality, Multi-sensors Data Integration, Open Data Cube, Smart Cities

Abstract. Effective air quality monitoring is crucial for assessing pollution levels and mitigating associated health risks, particularly in densely populated urban environments. Traditional ground-based monitoring stations provide accurate data but lack the spatial coverage necessary for comprehensive city-wide analysis. This study presents an integrated approach that combines satellite observations, atmospheric composition models, and ground sensor data within the Open Data Cube framework. The Open Data Cube system facilitates data access, processing, and analysis by structuring multi-source air quality information into a unified data endpoint. The Metropolitan City of Milan serves as a case study to evaluate this framework’s potential. The results highlight the feasibility of this approach with the potential of enhancing operational air quality assessments to empower future monitoring services, including real-time applications and improved data accessibility for decision-making and public communication.

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