Definition
This project leverages NASA’s Earth observation data combined with advanced AI algorithms to track particulate matter and gaseous pollutants globally. By integrating satellite imagery with ground-level sensor data, the system provides high-resolution air quality maps and forecasts. The primary goal is to enhance public health monitoring, support policy-making, and improve understanding of atmospheric dynamics through automated, scalable analysis of environmental data streams.
Summary
An initiative utilizing artificial intelligence and satellite data to monitor and predict global air quality patterns.
Key Concepts
- Environmental Monitoring
- Satellite Data
- Predictive Analytics
- Public Health
Use Cases
- Forecasting pollution levels in urban areas
- Tracking wildfire smoke dispersion
- Supporting regulatory compliance and health advisories