On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)

Mai, G., Huang, W. orcid.org/0000-0002-3208-4208, Sun, J. et al. (11 more authors) (2024) On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper). ACM Transactions on Spatial Algorithms and Systems, 10 (2). 11. ISSN 2374-0353

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Item Type: Article
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© 2024 Copyright held by the owner/author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Foundation models, geospatial artificial intelligence, multimodal learning
Dates:
  • Published: 1 July 2024
  • Published (online): 20 March 2024
  • Accepted: 12 March 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 13 Mar 2025 13:33
Last Modified: 13 Mar 2025 13:33
Status: Published
Publisher: Association for Computing Machinery (ACM)
Identification Number: 10.1145/3653070
Open Archives Initiative ID (OAI ID):

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