Automated cartography using AI
Practical AI: Machine Learning, Data Science
English - June 28, 2023 14:30 - 44 minutes - 41.1 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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).
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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Featuring:
Gabriel Ortiz – LinkedInDaniel Whitenack – Twitter, GitHub, Website
Show Notes:
Automated cartography (integration of different models: buildings, roads, vegetation)
Detecting and tracking the expansion of forests (period 1957-2020) using both legacy and modern imagery
Tracking invader species
Tracking urban growth with AI
Spatial behavior in beaches using AI
Inference with SAM (Meta’s Segment Anything Model) over urban areas/viewer.html?webmap=4af373c294e24394ae25e4acadab71cc
SuperResolution on aerial or satellite imagery
More of the work of Gabriel and his team can be seen here and also on his LinkedIn profile
Something missing or broken? PRs welcome!