We collect raw space information and air observations from global monitoring networks. Out of our deep love for nature and sustainability, our system transforms these massive, complex files into clean, easy-to-read maps & dashboards that empower communities to protect our environment.
How we clean up massive air and fire signals so everyone can understand them.
Our platform automatically pulls direct imaging files from public satellites. This includes fire maps and smoke tracking sets.
We automatically filter out heavy cloud cover, fix errors caused by sunlight reflection, and cross-check coordinates so everything aligns with real-world geography.
We organize the cleaned numbers into clear categories, such as separating crop fire files from general air quality metrics. This makes sure every data point goes to the right place.
We save the final numbers onto an interactive map. This makes it easy for anyone to see historical pollution trends and true climate footprints safely.
Different tracking tasks require different tools. Click an operational pipeline below to see how we trace footprints using trusted data methods.
Our system uses space thermal sensors to find heat spikes from farmers burning crop waste. It tracks hot spots and combines them with land boundaries to calculate the amount of smoke and soot released into the air without needing ground cameras.
Where we get our information
| Source System | What It Measures | Update Rate | Map Details | Primary Metric Output |
|---|---|---|---|---|
| Crop Fires Framework (Satellite Data) | Agricultural crop burning fires | Twice daily scans | 375-meter hotspots | Carbon Dioxide equivalent (CO₂e) from burning fields |
| Air Quality Arrays (Public Sensors) | Gases in the air we breathe | Hourly / Daily sweeps | 5.5km regional grids | Nitrogen Dioxide (NO₂) and Carbon Monoxide levels |
Coming Soon Developer API Toolkit: We are finalizing our open-source integration framework to let developers stream high-precision climate and fire telemetry directly into custom applications.
API Documentation Pending →