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TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives

Computer Vision and Pattern Recognition 2026-05-25 v1 Artificial Intelligence

Abstract

TerraQ is a spatiotemporal question-answering engine for satellite image archives. It is a natural language processing system that is built to process requests for satellite images satisfying certain criteria. The requests can refer to image metadata and entities from a specialized knowledge base (e.g., the Emilia-Romagna region). With it, users can make requests like "Give me a hundred images of rivers near ports in France, with less than 20% snow coverage and more than 10% cloud coverage", thus making Earth Observation data more easily accessible, in-line with the current landscape of digital assistants.

Cite

@article{arxiv.2502.04415,
  title  = {TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives},
  author = {Sergios-Anestis Kefalidis and Konstantinos Plas and Manolis Koubarakis},
  journal= {arXiv preprint arXiv:2502.04415},
  year   = {2026}
}
R2 v1 2026-06-28T21:35:21.616Z