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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GeoAI in Resource-Constrained Environments

Marc Böhlen, Srikar Reddy Gopaladinne, Hemanth Kumar Reddy Gorla, Gede Sughiarta et al.
2 citations
Geographic Information Systems Studies
3.91
article

GeoAI in Resource-Constrained Environments

Marc Böhlen, Srikar Reddy Gopaladinne, Hemanth Kumar Reddy Gorla, Gede Sughiarta, Atiek Kurnianingsih, Sujay Shrivastava
article en
2 citations

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.

University at Buffalo, State University of New York (US)
Openalex Percentile: Top 5%
Geographic Information Systems Studies
3.91
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

GeoAI in Resource-Constrained Environments — Marc Böhlen, Srikar Reddy Gopaladinne, et al. · (2024) | TGRS Research Map | TGRS