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Drone Mounted Methane Detection: Your 2025 Playbook

  • Writer: Don Garland
    Don Garland
  • Jun 12
  • 5 min read

Drone camera with reflecting lens and green detailing, mounted on a black frame against a white background. Purway TDLAS Model III
Purway TDLAS Model III

Executive Summary - Drone Mounted Methane Detection

Methane is short-lived in the atmosphere but 80 × more potent than CO₂ over twenty years. Regulators in North America and Europe are tightening leak limits just as investors demand defensible emissions data. The cheapest ton of methane, of course, is the one that never escapes—yet ground crews alone cannot scan tank batteries, flare stacks and pipelines quickly enough. Light unmanned aircraft carrying gigapixel infrared cameras, eye-safe lasers and micro-sniffer pods change the game: they cover hectares per flight, keep technicians out of danger and return auditable numbers in minutes.


This guide explains the three primary airborne detection methods—Optical Gas Imaging (OGI), Tunable Diode Laser Absorption Spectroscopy (TDLAS) and multi-gas sniffer modules, using drone mounted methane detection it then dives into six ready-to-fly payloads offered by Drones Plus Robotics. You’ll learn what each sensor does best, how to layer them in a single mission, and where to grab spec sheets and images for your next proposal deck.


1. Why Lift Leak-Detection Sensors Into the Sky?

Classic Ground LDAR

Drone-Based LDAR

Technician walks lines with a handheld instrument—< 3 km per day

Multirotor scans ≥ 60 km of pipeline or 2 km² of facility per day

Ladders, scaffolds, H₂S exposure

Crews remain outside fenced area

Spot checks only

100 % coverage + digital audit trail

Qualitative “see/smell/feel” evidence

Geo-referenced ppm, ppm·m and 4 K video

Compliance cost ~$600–$1500 per leak found

Measured payback in gas saved + avoided fines


2. The Technology Triad in the Air

Metric

OGI (LWIR/MWIR)

TDLAS (Open-Path)

Sniffer (Direct-Sampling)

What it measures

IR absorption of hydrocarbon plume

Laser attenuation at CH₄ line

Concentration in drawn air

Output

Video + leak outline

ppm·m + 1080 p overlay

ppm per second

Sensitivity

10–100 g h⁻¹ (scene-dependent)

1 ppb–ppm level over path

1 ppm (Nano 2)

Best for

Rapid facility sweeps

Quantifying leak rate, long stand-off

Pinpointing, 3-D mapping, multi-gas

Typical mass

150–400 g

600–800 g

140–300 g

Reg status

EPA OOOO b/c accepted

Gaining OGI-equivalent status

Classic Method 21 verifier


3. Payload Line-up (All Drone-Ready)

3.1 Optical Gas Imaging

Model

Viento OGI

Ventus OGI

Sensor

640 × 480 LWIR

640 × 512 MWIR

Methane limit

19 g h⁻¹ (Appendix K)

~20 g h⁻¹ (vendor test)

Weight

144 – 320 g (kit-dependent)

< 400 g

Special sauce

Gas Enhancement Mode, EIS, CLAHE

Dual lenses 25 / 50 mm, 8 × digital zoom

Integration

USB-C, GigE, SDI

HDMI, GigE, UART

Image

Professional camera gimbal with lens and mounting bracket, featuring visible engravings and details. Predominantly black, set against a plain background. Viento OGI
Black OGI camera with a rainbow-reflective lens, set against a white background. It has a gimbal mount on top. Ventus OGI

Product page


Best practices

  • Fly 30–60 minutes after sunrise or before sunset to maximise thermal contrast.

  • Keep yaw rate under 2 ° s⁻¹ with a three-axis gimbal; otherwise plumes blur.

  • Record full-frame video (no stills only) plus flight telemetry for regulator audits.


3.2 TDLAS Quantifiers


Model

Purway UAV TDLAS (Model III)

Sniffer TDLAS (Methane)

Range

≤ 300 m open-path

Short- to mid-range

Response

100 ms standard (as fast as 5 ms—“burst” mode)

< 1 s

Sampling Rate

10 Hz continuous

Video Overlay

4 K (3840 × 2160 @ 30 fps) visible-light stream fused with laser data

1080 p

Protection

IP54, DJI X-Port included

IP54

Mass

≈ 800 g (sensor + gimbal)

≈ 600 g

Key features

Class-I eye-safe laser, HD visual context, real-time ppm·m on screen, supports DJI & other UAVs

Rugged shell, replaceable cell, multi-gas ready

Image

A drone camera with visible lens reflections is mounted on black legs against a plain white background. Purway TDLAS Model III
A white and orange portable device with vents and the word "sensodetect" on the side, set against a plain white background. Sniffer TDLAS Methane

Product page

Deployment hacks

  • Mount emitter on nose, reflector aft to clear rotor wash.

  • Add an ultrasonic anemometer and discard data when cross-winds > 6 m s⁻¹.

  • Calibrate every 20 flight-hours with a 500 ppm methane cell; store offset in EEPROM for field swaps.


3.3 Multi-Gas Sniffers

Model

Sniffer 4D Mini

Sniffer4D Nano 2

Gas channels

Up to 9 (user-selectable)

Methane + GHG suite

Resolution

3-D cloud at 1 ppm for CH₄

1 ppm CH₄ via multi-path TD-LAS

Weight

Pocket-size module for DJI M30

< 200 g

Comms

Wi-Fi + LTE backhaul, DJI Pilot plug-in

4 G/3 G/EDGE/GPRS, Dock 3 native

Special tricks

Real-time 3-D map on controller; hyper-local hazmat mode

Spatiotemporal heat-map, auto alerts to cloud

Image link

White Sniffer4D Neo device with hexagonal vents and "soarability" text. Minimalist design on plain background.
Sniffer4D Nano 2

Product page


Rotor-wash mitigation

  1. Suspend a 15 cm Teflon snorkel under the airframe.

  2. In mission planner, add “hover-and-hold” triggers: if CH₄ rises > 3 ppm, pause 5 s.

  3. Validate every five sorties with a handheld confirmation (preferred by auditors).


4. Designing a Three-Pass Mission

Pass

Payload

Altitude

Speed

Purpose

1

Viento OGI or Ventus OGI

20 m AGL

4 m s⁻¹

Visual sweep—find plumes fast

2

Purway TDLAS or Sniffer TDLAS

25 m

5 m s⁻¹

Measure path-integrated ppm·m, estimate leak rate

3

Sniffer Mini or Nano 2

Hover 3–5 m

n/a

Pinpoint source, build 3-D concentration map


Workflow

  1. Pre-flight – Check NOTAMs, confirm wind < 15 kt and thermal delta > 5 °C.

  2. Survey – Autonomous lawn-mower route; each payload logs GPS-tagged data to SD + cloud.

  3. Post-flight – Fusion script merges MP4, ppm·m and ppm streams into a GIS layer; leaks ≥ 500 SCF d⁻¹ trigger work orders in the CMMS.

  4. Archive – SHA-256 hash raw files; store in triplicate (local NAS + redundant cloud) for five years.


5. Regulatory & Safety Essentials

  • BVLOS waivers – Equip drones with Remote ID and ADS-B-In if flying pipelines beyond line of sight.

  • Sensor validation – OGI cameras must pass Appendix K; record calibration certificates quarterly.

  • Class I laser compliance – Both TDLAS payloads use eye-safe IR; nonetheless brief crews on reflection hazards off stainless tanks.

  • Data privacy – Encrypt all payload logs at rest (AES-256) and in transit (TLS 1.3).


6. Which Stack Fits Your Strategy?

Use Case

Recommended Combo

Quarterly EPA OOOO b/c LDAR

Ventus OGI + Purway TDLAS + Sniffer4D Nano 2

Emergency incident response

Viento OGI + Sniffer 4D Mini

Autonomous fence-line

Sniffer4D Nano 2 in Dock 3 + weekly Ventus fly-over

Long pipeline patrols

Purway TDLAS on VTOL + Nano 2 pop-downs at compressor sites

7. Quick Links



Comparison table of the three major methane detection technologies used in field inspections:

Feature / Metric

OGI (Optical Gas Imaging)

TDLAS (Laser Absorption)

Gas Sniffers (PID, FID, etc.)

Detection

Infrared plume image

Methane-specific laser absorption

Chemical/electrical gas sensing

Output

Visual

Quantitative (ppm / ppm-m)

Quantitative (ppm)

Sensitivity

Moderate (<100 ppm)

High (ppb–ppm)

High (varies by sensor)

Methane Selectivity

Moderate (others detected too)

High (methane-tuned)

Variable

Quantification

No

Yes (with path length)

Yes

Range / Coverage

Moderate to wide

Long (10–250 m)

Point only

Real-Time

Yes

Yes

Yes

Conditions

Needs thermal contrast

Stable in most environments

Affected by weather

Automation

High (UAVs, robots)

High (UAVs, fixed units)

Low–Medium (handheld)

Remote Use

Excellent (standoff)

Excellent (remote possible)

Poor (manual, close-up)

Speed

Fast (area scan)

Fast (drones, long path)

Slow (point by point)

Cost

High ($80K–150K)

Medium ($10K–60K)

Low–Medium ($2K–20K)

Best Use

Visual leaks, LDAR, complex sites

Quantifying, monitoring, drones

Localized, indoor leaks

Regulatory Use

Accepted (OGI/Method 21 alt.)

Gaining approval for quantification

Standard Method 21


8. Final Thoughts

There is no “one sensor to rule them all.” An effective aerial LDAR program layers OGI for fast visual context, TDLAS for quantified leak rates and direct-sampling sniffers for pinpoint confirmation. All six payloads above ship with DJI-ready mounts, plug into open-source flight planners and generate data regulators already trust.


Start small: run a three-pass mission at a single facility, compare measured leak volume against repair cost and gas price, and your ROI will reveal itself. From there, scaling across fields, pipelines and offshore assets is mostly a matter of battery logistics and cloud storage.


Stop chasing leaks on foot—find them from the sky, fix them fast, and keep your methane in the pipe where it belongs.

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