“Deep Learning Enhances Satellite-Based Air Quality Monitoring, Kuopio Dissertation Shows” — what this page in the network covers. A new doctoral dissertation from the University of Eastern Finland demonstrates how deep learning can significantly improve air quality monitoring using satellite data. Andrea Porcheddu, MSc in Technical Physics, will defend the research at the Faculty of Science, Forestry and Technology on the Kuop Andrea Porcheddu, MSc in Technical Physics, will defend the research at the Faculty of Science, Forestry and Technology on the Kuopio campus.
The work addresses a critical gap in environmental monitoring: traditional ground sensors are sparse, while satellite observations cover wide areas but require advanced interpretation to estimate ground-level pollution. Porcheddu's approach applies deep neural networks to fuse satellite measurements with meteorological and land-use data, producing more accurate and higher-resolution air quality maps. This listing links straight to the original page, where the content is available in full.