granite geospatial ocean

granite-geospatial-ocean combines vision, language, and temporal modeling for ocean and coastal work. It ingests optical and SAR satellite tiles, bathymetry, weather and wave fields, AIS tracks, and vector layers in common GIS formats like GeoTIFF, NetCDF, and GeoJSON. The model fuses multi-temporal stacks to perform segmentation, object and pattern detection, and trend analysis, returning structured outputs such as GeoJSON, STAC-style metadata, or tiled masks you can stream into a map. It handles projection and tiling quirks, supports long context across scenes and dates, and can call tools for reprojection or clipping so workflows stay reproducible. Typical uses include maritime domain awareness, offshore energy and cable monitoring, algal bloom and oil spill detection, shoreline change and erosion mapping, port and supply chain analytics, and disaster response. Deployed on cloud or edge with quantization for cost control, it streams results with per-pixel or per-track confidence so teams can triage quickly, escalate to humans when uncertainty is high, and archive decisions for audit.