I am using land use regression with machine learning to create an air pollution model. However, almost all tiles I can find using Python and Folium contain text, which my intuition says cannot possibly be a good thing. I've seen papers use drawn maps for this task, and I am not convinced they are better than satellite images...
Does anybody here have experience with extracting city maps for air pollution modelling? Which ones should I use? Is satellite data better than drawn maps?
[input data] -> land use -> air pollution
? If it needs to be a European product only, I think you cannot beat land.copernicus.eu/pan-european/corine-land-cover which already gives you the land use data in either 300x300 m resolution, or even full vector format, without any text. These maps are compiled by local authorities. $\endgroup$