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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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processing, as well as the development of new instrumentation. Our team (~15 persons) develops methods to detect and identify sources and quantify emissions of various trace gases using satellite data in
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