Ddust

D-DUST is a research project investigating particulate matter emissions associated with intensive farming. It explores how satellite observations and machine learning can complement traditional air-quality monitoring based on fixed ground sensors. The project assesses whether integrating these non-conventional data sources can make particulate matter monitoring more practical, cost-effective, and accurate.

Through its research, D-DUST tests innovative methods for analyzing atmospheric particles linked to intensive agricultural activity. Its work aims to generate data that can help researchers examine the factors driving emissions and understand their potential effects on human health. The project also shares information about its research methods, techniques, results, and innovations.

Alongside its scientific work, D-DUST promotes public engagement and education. It offers educational activities, events, and training sessions focused on air pollution, with opportunities for students and the wider community to learn about the issue. The project’s website provides access to media materials, including press releases, press coverage, and videos. Contacts listed for the project include Politecnico di Milano and the University of Insubria.