Emissions from residential wood combustion are a major contributor to human exposure to air pollution. In this study, we develop a highly detailed and scalable emission inventory for Norway applicable also to local air quality studies. Emissions are based on novel highly detailed input data that offer unprecedented spatial (and temporal) resolution. We also show that the emissions presented improve model accuracy and we highlight that the principles are applicable in other sectors and countries.