Use cases in
Environment
Domain
Flood Disaster Management
During floods, rapid and accurate situational awareness is vital. Multimodal inputs such as satellite, aerial, and drone imagery, combined with Lidar, GIS, and real-time social media, provide complementary insights. While existing solutions rely heavily on unimodal processing or simple image fusion, DVPS enables a more advanced integration of all available modalities. Planned downstream tasks (DST) include semantic segmentation, object detection, automated reporting, conversational Q&A, and UAV flight planning.
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Segment urban landscapes and monitor land use.
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Generate socio-economic and environmental indicators.
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Predict urban growth and support traffic or transportation planning.
Ecosystem Monitoring
The Copernicus program provides rich imagery to track agricultural and ecological conditions. A multimodal approach strengthens food security strategies by enhancing climate monitoring, crop optimization, and resource management.
Classify land cover and crop types.
Generate indicators on soil, disease, and biomass.
Build precision agriculture models for irrigation, fertilization, and harvesting decisions.
Earth Systems Forecasting
Earth systems forecasting is evolving through AI. DVPS builds on existing efforts like Aurora and Aardvark Weather, combining numerical and observational data with MMFM to create next-generation forecasting models. These models integrate text input/output and domain expertise for real-time explanations and impact descriptions.
Integrate satellite and atmospheric data with textual forecasts and reports.
Generate meteorologist-style predictions with natural language outputs.
Evaluate model performance using real meteorologists feedback