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No. 1395Problem statementSpace and research

SatQuery AI - An Interactive Vision-Language Assistant for Multimodal Remote Sensing Image Analysis through Text Queries

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Source summary

Build SatQuery AI, an agentic remote-sensing assistant accepting GeoTIFF/TIFF single images, co-registered optical/SAR pairs and corresponding two-date pairs. Require single-image VQA plus captioning or grounding, temporal change explanation/VQA and complementary optical/SAR analysis. Adapt at least one visual component to remote sensing using BigEarthNet.txt or suitable open training data; a generic unadapted VLM is insufficient. Route queries to specialist tools after compatibility checks and return confidence, visual evidence, downloads and an auditable tool/parameter trace, not internal reasoning. Evaluate prescribed public benchmark splits and held-out ISRO/SAC pairs; PNG/JPEG is limited to approved benchmarks and the weighting table is missing.