How to Identify and Track Vegetation With Deep Learning From Aerial Surveys

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Gabrielli: The majority of applications across enterprise, not just in GIS, but in manufacturing or marketing even people think of marketing with generative AI. So what I am going to tell has been achieved using model architectures that have been almost forgotten for the community. Gabrielli: There are so much that can be extracted from the old school of artificial intelligence quote unquote is not so old? Yeah, yeah.

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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