GeoAI in Resource-Constrained Environments
This paper describes spatially aware Artificial Intelligence, GeoAI, tailored for small organizations such as NGOs in resource constrained contexts where access to large datasets, expensive compute infrastructure and AI expertise may be restricted. We furthermore consider future scenarios in which resource-intensive, large geospatial models may homogenize the representation of complex landscapes, and suggest strategies to prepare for this condition.
Authors
- Marc Böhlen (ORCID: https://orcid.org/0000-0002-0463-0988)
- Srikar Reddy Gopaladinne
- Hemanth Kumar Reddy Gorla
- Gede Sughiarta
- Atiek Kurnianingsih
- Sujay Shrivastava
Institutions
- University at Buffalo, State University of New York (US)
Publication Details
- Published
- 2024-09-30
- DOI
- https://doi.org/10.1109/aixset62544.2024.00024
- Citations
- 2
- Primary Topic
- Geographic Information Systems Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.91