Multi-source AI platform fusing satellite imagery (Copernicus, Sentinel-5P), ground sensors, and meteorological data for comprehensive atmospheric monitoring and anomaly detection.
Real satellite data from Copernicus CAMS — showing pollutant concentrations around Slovnaft refinery.
From raw satellite pixels to actionable air quality intelligence — powered by ensemble learning and spatio-temporal neural networks.
Integration with ESA Copernicus (CAMS, Sentinel-5P) for global coverage of NO2, PM2.5, PM10, O3, SO2, CO, and HCHO pollutants.
Real-time fusion of data from ground-based monitoring stations across multiple formats (CSV, XML, JSON, API) into a unified pipeline.
Ensemble learning and spatio-temporal convolutional networks identify correlations between emissions, meteorology, and air quality patterns.
Predictive models for air quality evolution based on historical patterns, weather forecasts, and emission trend analysis.
Upwind/downwind enhancement ratio calculations to attribute pollution sources — the strongest satellite-based evidence for source identification.
Civilian (Smart Cities, public health) and security applications (CBRN early warning, critical infrastructure monitoring).
Ingesting and unifying data from the most authoritative atmospheric monitoring systems worldwide.
Daily downloads of NO2, SO2, CO, HCHO, CH4, Aerosol Index from ESA's dedicated atmospheric composition satellite.
PM2.5, PM10, NO2, SO2, CO, O3, NMVOC, HCHO model estimates every 6 hours from the Copernicus Atmosphere Monitoring Service.
Hourly measurements of PM10, PM2.5, NO2, SO2, O3, CO, benzene from national monitoring networks.
10m u/v wind components from ECMWF reanalysis for wind-conditioned source attribution analysis.
Contact BIT Technology for a custom deployment tailored to your region and use case.
Get in TouchMáte projekt alebo nápad? Ozvite sa nám.
BIT Technology s.r.o.
Trstínska cesta 9, 917 01 Trnava
Slovenská republika
IČO: 50 627 228
DIČ: 2120398973
IČ DPH: SK2120398973