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GeoAI in resource-constrained environments

Authors :
Böhlen, Marc
Sughiarta, Gede
Kurnianingsih, Atiek
Gopaladinne, Srikar Reddy
Shrivastava, Sujay
Gorla, Hemanth Kumar Reddy
Publication Year :
2024

Abstract

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.<br />Comment: 8 pages, 6 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2408.17361
Document Type :
Working Paper