Satellite

AIRMO builds its own Satellite instrument.

The Core Problem with Existing Technology

Almost all methane satellites today use passive spectrometers based on the Oxygen A-band (O₂A) method. It reads sunlight as it passes through the atmosphere and infers methane concentration.

The Problem

Aerosols, dust, smoke, and clouds interfere with the signal. Over oil and gas regions in the Middle East, Central Asia, and North Africa — exactly where the largest emitters are — passive systems regularly fail.

The Problem

LiDAR as an active sensor. It emits its own laser signal, measures the return directly, and characterises the aerosol layer precisely. This enables accurate gas retrieval in conditions where passive methods give up.

Condition

Passive spectrometer

AIRMO LiDAR+SWIR

Condition

Clear sky, low aerosol

Passive spectrometer

Works

AIRMO LiDAR+SWIR

Works

Condition

Moderate aerosol

(dust, haze)

Passive spectrometer

Degraded accuracy

AIRMO LiDAR+SWIR

Full accuracy

Condition

High aerosol

(sandstorm, smoke)

Passive spectrometer

Fails or errors

AIRMO LiDAR+SWIR

Robust measurement

Condition

Cloud cover

Passive spectrometer

Fails

AIRMO LiDAR+SWIR

Partial

(LiDAR retrieves aerosol profile)

Condition

Night operation

Passive spectrometer

Fails

(needs sunlight)

AIRMO LiDAR+SWIR

Full capability

(drone/aircraft)

Result

UP TO

15

X

more data volume per satellite vs. conventional architectures.

20 site-level measurements per satellite per day. Insights downlinked directly from the satellite without ground processing delay.

Full commercial service requires a 12-satellite constellation in sun-synchronous orbit.

This delivers

Global coverage of all industrial land areas

Daily revisit cadence at full constellation

5-year design lifetime per satellite

This means continuous, independent methane monitoring across any asset — anywhere in the world.

Without ground teams, permits, or logistics. Persistent coverage turns one-off campaigns into always-on intelligence, enabling faster response to emission events and defensible data for OGMP and regulatory reporting.