ASKTERRA
Description
Geospatial data and models can be difficult to navigate and understand, especially for non-expert geospatial data users. Large language models give users the ability to ask questions of geospatial data using plain language, and receive useful insights.
Detailed example
Outputs tailored geospatial data created by large language models using Forest Service, USDA, or public geospatial data as inputs.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
This use case would allow anyone to quickly engage with geospatial data in curated ways while taking advantage of asking specific questions within specific areas of interest.
Controls / human review
ATO: Not reported; PIA: Not published