How we monitor
your city's air.
AirSense doesn't just guess. We synthesize ground-level measurements, satellite imagery, and meteorological models using advanced AI to deliver the most accurate hyper-local AQI in India.
Triple-Verified Intelligence
By combining official reference data with satellite observation and low-cost sensor networks, we eliminate blind spots in urban monitoring.
- CPCB (Central Pollution Control Board) nodes
- Continuous Monitoring Stations (CAAQMS)
- High-precision chemical analyzers
- 15-minute refresh cycle
- TROPOMI high-resolution spectrometer
- Detection of NO₂, SO₂, O₃ and Formaldehyde
- Aerosol Optical Depth (AOD) mapping
- Global coverage for gap-filling
- Active hotspot detection (375m/1km)
- Fire Radiative Power (FRP) intensity
- Thermal anomaly plume modeling
- 24/7 global monitoring feed
- Wind speed & direction mapping
- Boundary layer height analysis
- Humidity & temperature influence
- 72-hour dispersion forecasting
- Hyper-local PM2.5 and PM10 data
- Ward-by-ward density deployment
- Continuous automated calibration
- Real-time edge computing
- Traffic congestion analytics
- Construction permit monitoring
- Industrial emission inventories
- Biomass burning detection
- Removal of hardware outliers
- Machine learning calibration curves
- Source apportionment (Fingerprinting)
- Confidence score for every reading
How we turn raw data into civic action.
Raw sensor data is often noisy. A passing truck can trigger a temporary PM spike, or high humidity can skew optical sensors. Our pipeline ensures that what you see on the dashboard is verified.
Ingestion & Sanitization
We collect millions of data points hourly. Our first layer removes spikes caused by sensor maintenance or transient local anomalies.
AI Cross-Calibration
We use high-precision government monitors to dynamically 'train' and calibrate low-cost sensors in their vicinity every few minutes.
Spatial Interpolation
Using the Inverse Distance Weighting (IDW) algorithm, we estimate AQI for the gaps between sensors, giving you a full city map.
Biomass Detection & Policy
Finally, we correlate PM spikes with NASA FIRMS hotspots to distinguish crop burning from traffic, enabling targeted bans and alerts.
Quality Score: 98.4%
Our internal validation scores show a 0.94 correlation between AirSense interpolated estimates and official reference-grade measurements.
Pollution levels can double from one city ward to another. That's why we prioritize hyper-local over city-wide averages.
Data Methodology FAQ
Have questions about our numbers? We've got answers.
Empower your city with data.
Are you a city official or an urban researcher? Get access to our high-resolution data streams and AI source apportionment models today.