Project
D-DUST aims at assessing the contribution – in terms of operability, cost-effectiveness, and accuracy – derived by the systematic integration of non-conventional data into traditional particulate matter monitoring frameworks based on fixed ground sensors, with a focus on satellite-based estimates and farming-related emissions.
Research
D-DUST will test innovative procedures for analyzing atmospheric particulate matter deriving from intensive farming activities and will provide important data to investigate emission drivers and its impact on our health.
Education
We work to ensure an impact in terms of benefits for civil society and community. The project promotes citizen and students engagement through events and training sessions focused on air pollution.
