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, with a particular focus on the iron and steel sector. By using TROPOMI observations with advanced machine learning techniques, the project will provide independent information on emission patterns and
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satellite data in the Earth Science Group (ESG) of SRON. The ESG consists of approximately 35 scientists (permanent staff, postdocs, and PhD students) that work on the interpretation of satellite data, data
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