# Folium/Leaflet tiles for air pollution modelling

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?

• Could you provide a bit more detail in the form of some examples? What is your exact question, and what is wrong with the status quo? How about land.copernicus.eu/global/products/lai ?
– Erik
Nov 1 '21 at 9:19
• @Erik I am writing an answer to my own question right now. Hopefully that answer will clarify what I was looking for. Also, I'm open for other answers. Nov 1 '21 at 9:35
• So, if I get your question correct, you want to model air pollution, with as input a land use cover map, and you need a product that gives you land use? So [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.
– Erik
Nov 1 '21 at 10:55