Satellite constellations like OCO-3, TROPOMI, and GOSAT capture atmospheric CO₂, CH₄, and other gas concentrations.
From Orbit to Asset in Seconds
Sensors & Science Are the Bedrock of Our Approach
Floodlight use satellite spectroscopy, on‑site IoT telemetry (where available), and AI‑driven atmospheric models to deliver asset‑level greenhouse‑gas and climate‑hazard insights in hours—not months. Our proprietary SAGE™ and CHART™ workflows are independently aligned with ISO 14064 and FEMA/IPCC guidelines, bringing Fortune‑500 rigor to every ton of CO₂e we measure.
Atmospheric models simulate wind dispersion, temperature gradients, and transport pathways using data from NASA and NOAA, among others.
Emissions data are spatialized at the asset level using geolocation, footprint modeling, and satellite/IoT fusion.
Floodlight’s platform converts raw data into actionable metrics and insights, ready for reporting and strategic planning.
How the Pieces Work Together
- Asset Spatialization – We geolocate your facilities and snap them to a high‑resolution grid.
- Targeted Data Pull – Satellites pass overhead; drones and IoT nodes may be used to stream live.
- Fusion & Attribution – Wind‑plume AI strips out background noise; emissions are mapped to your parcel only.
- QA & Confidence Scoring – Every result passes a multi‑tier quality gate (statistical outlier scans, cross‑sensor agreement, ISO 9001 audit trail).
- Delivery in Your Format – API, XLSX, or interactive dashboard—ready for auditors or annual reports.
Frequently Asked Questions
Q1 : How does Floodlight verify that emissions are truly from my site ?
A : We use backward‑trajectory plume modelling and grid‑cell attribution to isolate your parcel. Independent sensor networks cross‑check anomalies.
Q2 : What if satellite coverage is cloudy ?
A : Our scheduling engine automatically queues alternate constellations.
Q3 : Can you integrate with my ESG software ?
A : Yes—REST API endpoints, plus turnkey CSV exports for filings.
