Automated cartography is an integration of a bunch of these different models that you've been working on. It started as I said before in the 80s, 90s, but now is a complete revolution. And for the first time we are able to produce a map with a basic coverage where you have trees, where you have a shrub and no vegetation,. Where you have buildings or roads or railroads, completely generated by AI. Of course, it has some mistakes, but we left on purpose those mistakes on purpose because we wanted people to evaluate the capacity and ability of the models to work alone.
Your feed might be dominated by LLMs these days, but there are some amazing things happening in computer vision that you shouldn’t ignore! In this episode, we bring you one of those amazing stories from Gabriel Ortiz, who is working with the government of Cantabria in Spain to automate cartography and apply AI to geospatial analysis. We hear about how AI tooling fits into the GIS workflow, and Gabriel shares some of his recent work (including work that can identify individual people, invasive plant species, building and more from aerial survey data).
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