Google Buildings V3 is a powerful dataset, but at 178 GB, it's not easy to work with.
In this blogpost, we introduce a two-step Python workflow to efficiently download and extract only the building footprint data you need — using your own region of interest. No need to process the world — just get the tiles that matter, filter them, and save clean GeoPackages. Ideal for urban research, slum mapping, or large-scale city analysis. Lightweight, scalable, and open-source.
DEPRIMAP is a research funded by FORMAS (Swedish Research Council, application 2023-01210) involving KAU (Karlstad University, Sweden)

