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Performance of Two Different Flight Configurations for Drone-Borne Magnetic Data.

Filippo Accomando¹, Andrea Vitale¹, Antonello Bonfante²

¹Department of Earth, Environmental and Resources Sciences, University of Naples "Federico II", 80126 Naples, Italy.

Sensors (Basel, Switzerland)

|September 10, 2021

Summary

Drone-borne magnetometry faces interference challenges. This study shows that careful processing of magnetic data, regardless of magnetometer suspension height, can yield high-quality results for drone surveys.

Keywords:

low-pass filtering magnetic noise magnetic surveys spectral analysis unmanned aerial vehicle

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Area of Science:

Geophysics
Geophysical instrumentation
Electromagnetism

Background:

Drone-borne magnetometry is hindered by magnetic and electromagnetic interference from the drone.
Suspending magnetometers can mitigate interference but may affect flight stability or introduce data oscillations.

Purpose of the Study:

To investigate the impact of magnetometer placement on drone-borne magnetic survey data quality.
To evaluate noise filtering techniques for drone-based magnetic measurements.

Main Methods:

Conducted two drone-borne magnetic surveys using a cesium-vapor magnetometer (1000 Hz sampling frequency).
Tested magnetometer placement: fixed to landing-sled (0.5 m) and suspended 3 m below the drone.
Applied Continuous Wavelet Transform (CWT) analysis for noise filtering.

Main Results:

Both configurations, when processed with CWT, yielded magnetic data comparable to ground-based control datasets.
Spectral characteristics and modeled source parameters were analogous across flight configurations and ground data.
Careful data processing enabled high-quality magnetic data acquisition in both tested configurations.

Conclusions:

Drone-generated noise in magnetic surveys can be effectively filtered using CWT analysis.
Both near-drone and suspended magnetometer configurations can produce high-quality data.
The optimal configuration choice depends on specific survey objectives and operational conditions.