{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Practical AI","title":"Automated cartography using AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/b1def249\"></iframe>","width":"100%","height":180,"duration":2677,"description":"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).\n\nSponsors:\nFastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com\nFly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs. \nTypesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! \nChangelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today. \nFeaturing:\nGabriel Ortiz – LinkedIn\nDaniel Whitenack – Website, GitHub, X\nShow Notes:\nAutomated cartography (integration of different models: buildings, roads, vegetation)\nDetecting and tracking the expansion of forests (period 1957-2020) using both legacy and modern imagery\nTracking invader species\nTracking urban growth with AI\nSpatial behavior in beaches using AI\nInference with SAM (Meta’s Segment Anything Model) over urban areas/viewer.html?webmap=4af373c294e24394ae25e4acadab71cc\nSuperResolution on aerial or satellite imagery\nMore of the work of Gabriel and his team can be seen here and also on his LinkedIn profile\nUpcoming Events: \nRegister for upcoming webinars here!","thumbnail_url":"https://img.transistorcdn.com/Ox7ZlyiQOhdDa4Qy1MnJH5WFoksAetrzb40Jo1pePFs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMTZi/ZWJmNWIwNDdmYTcw/NGJjMTExZjNjZmYy/M2ZjNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}