TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917520969039872 |
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| author | Kefalidis, Sergios-Anestis Plas, Konstantinos Koubarakis, Manolis |
| author_facet | Kefalidis, Sergios-Anestis Plas, Konstantinos Koubarakis, Manolis |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_04415 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives Kefalidis, Sergios-Anestis Plas, Konstantinos Koubarakis, Manolis Computer Vision and Pattern Recognition Artificial Intelligence 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. |
| title | TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2502.04415 |