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UID:pretalx-foss4g-2024-3EWQR9@talks.staging.osgeo.org
DTSTART;TZID=-03:20241205T111500
DTEND;TZID=-03:20241205T114500
DESCRIPTION:Every geospatial project begins with a quest for answers. Large
  Language Models (LLMs) are revolutionizing how we can directly understand
  user needs through techniques like natural language to data structure con
 version. Over the couple years\, we have been exploring how AI could be us
 ed for working with geospatial data. What started as figuring out how to u
 se natural language to make STAC queries to find public data has led to mu
 ch more\, including natural language geocoding to contextual image searchi
 ng of public data such as NAIP and Sentinel-2.\n\nIn this talk we will exp
 lore how AI can be used to help automate some of geospatial’s most tedio
 us tasks using open data\, and how open vision models can be combined to c
 reate powerful tools for search & discovery of earth imagery.\n\nThis talk
  will include an overview of AI for use in geospatial analysis\, with a fo
 cus on using open data and open models. We will show some live demos to cr
 eate accurate AOIs with natural language\, as well as for advanced searchi
 ng of landscape features in public datasets. Additionally we will give an 
 overview of techniques like Retrieval Augmented Generation and LLM Agents 
 and the potential for how these may be used to transform geospatial data s
 cience.
DTSTAMP:20260504T204150Z
LOCATION:Room I
SUMMARY:GeoAI for all: Helping answer the most common questions in geo - Ma
 tthew Hanson
URL:https://talks.staging.osgeo.org/foss4g-2024/talk/3EWQR9/
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