AI-Enabled Geospatial Workflows for Earth Sciences

November 3 & December 15, 2026 | 9AM–10 AM (PST)

A two-part webinar series on practical, mission-driven AI workflows in ArcGIS for earth sciences

Register now
View of Earth from space showing the planet's curved horizon, oceans, clouds, and atmosphere

Support Scientific Decision-Making with AI

Through real-world earth sciences examples, attendees will see how modern AI capabilities support monitoring, resilience, resource management, and operational decision-making. Discover your learning pathway for AI adoption in earth sciences.

Speaker highlights

  • Portrait of Lorraine Tighe

    Lorraine Tighe

    Director of Earth Sciences Solutions, Esri

  • Portrait of Lain Graham

    Lain Graham

    Solution Engineering Team Lead, Esri

  • Portrait of Prentice McNair

    Prentice McNair

    Solution Engineer, Esri

  • Portrait of Stella Meserve

    Stella Meserve

    Solution Engineer, Esri

  • Portrait of Cole Walts

    Cole Walts

    Solution Engineer, Esri

  • Portrait of Jonah Hall

    Jonah Hall

    Solution Engineer, Esri

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What you'll learn in this series

Learn how modern AI capabilities support monitoring, resilience, resource management, and operational decision-making.

Here is what this series will cover:

  • How AI-assisted geospatial workflows can streamline data collection and stewardship
  • Models and tools available for analyzing patterns and change detection at scale
  • Deploying repeatable AI-assisted earth observation workflows

Explore the webinars in this series

  • Remote sensing analysis highlighting flood extent or land cover changes in red near river channels

    Models, Tools, and Advanced Analytics: Deep Learning, Imagery, and Analysis at Scale

    Learn how AI models and tools can help earth sciences organizations extract insight from large, complex, and rapidly changing geospatial datasets. 

    December 15 | 9AM–10 AM (PST)

    Learn about this webinar
  • Colorized bathymetric map displaying underwater terrain, depth variation, and coastal features

    Accelerating Earth Sciences Workflows with AI Assistants

    Learn how AI assistants can help earth sciences organizations move from observations to actionable information by streamlining data collection, improving data quality and stewardship, accelerating analysis, and supporting operational decision-making. 

     

    Access the recording
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