Key Takeaways
- Airborne geophysics processing for total magnetic intensity (TMI), gravity and magnetometry surveys is classical science. Geosoft Oasis montaj (Seequent) remains the industry-standard processing software.
- The AI layer is additive, not a replacement. Platforms like VRIFY DORA take your processed airborne grids and fuse them with other datasets for automated target ranking.
- This item is marked “Emerging” for AI relevance because the fusion and interpretation layer is newer than the acquisition and processing itself.
- If you are not yet using AI-driven fusion tools, your survey workflow does not need to change to benefit later. The processed grids are exactly the input DORA and similar tools expect.
TL;DR
Airborne geophysics gets AI value after processing, not during the flight. Process your TMI, gravity and magnetics data in standard software, export clean georeferenced grids, and route them into a fusion platform such as VRIFY DORA. It combines them with geochemistry and geology to rank targets automatically.
What Is Airborne Geophysics?
Airborne geophysics means measuring physical properties of the ground from an aircraft, helicopter or drone. The most common surveys in mineral exploration measure the Earth’s magnetic field (TMI and magnetometry) and small variations in gravity. Some programs also fly electromagnetic (EM) or radiometric sensors.
Rocks differ in magnetic minerals and density. For example, magnetite-rich intrusions produce strong magnetic highs, while dense sulphide bodies can create gravity highs. Flying tight line spacing over a large area maps those contrasts quickly and without touching the ground. As a result, airborne surveys are often the first dataset collected over a new exploration district.
How Do I Automate Airborne Geophysics With AI?
The practical path runs from clean processing, through derived products, to AI-assisted fusion.
Processing airborne TMI and gravity data
Airborne data are collected and processed the same way they have been for years. Oasis montaj, part of Seequent and Bentley, is the standard environment for levelling, gridding and filtering survey lines. Do this step carefully, because every later model inherits its errors. Line noise, poor levelling or a wrong projection will show up as false anomalies downstream.
Deriving products from airborne geophysics grids
Next, geophysicists derive standard products from the raw grids. Common examples include reduction-to-pole magnetics, first vertical derivative grids and residual gravity. These enhance edges, remove regional trends and highlight structures. They also become the individual layers that an AI platform reads, so consistent resolution and metadata matter.
Fusing grids in an AI targeting platform
AI enters once those processed grids exist. Instead of a geophysicist manually interpreting anomalies and handing off a target list, VRIFY DORA ingests the grids with geochemical and geological layers. DORA uses a Random Forest approach over about 24 derived rasters to produce a ranked prospectivity map. That interpretation step is covered in more depth in our post on geophysical targeting with AI.
Why Airborne Geophysics Is Still “Emerging” for AI
The acquisition and core processing are fully mature. However, the AI-driven interpretation layer on top of them is a more recent addition, not yet universal practice. Many exploration teams still interpret airborne grids by eye, and that remains a valid approach.
Therefore, treat AI fusion as an optional downstream step. Keep flying and processing surveys the way you already do. Then, when you want AI-assisted target generation, the grids are ready. The same fusion platforms also draw on geochemical proxies from soil and rock sampling. Airborne data rarely make a target on their own; they work best alongside ground truth.
FAQs
What does airborne geophysics measure?
Airborne geophysics measures physical properties of rocks from the air, most commonly the magnetic field and gravity. Some surveys add electromagnetic or radiometric sensors. Geologists use the resulting maps to trace structures, intrusions and possible mineralized zones below cover.
Does AI change how airborne geophysics is flown?
No. Acquisition and processing stay classical, typically using Oasis montaj for gridding and filtering. AI enters after processing, when platforms fuse the grids with other data to rank targets.
What is the difference between TMI and magnetometry?
Magnetometry is the general technique of measuring magnetic fields. TMI, or total magnetic intensity, is the standard output of an airborne magnetometer survey. Geophysicists then derive products such as reduction-to-pole grids from the TMI data.
What format should airborne geophysics data be in for AI?
Export clean, georeferenced grids in a consistent coordinate system and resolution. Include metadata on survey specifications and processing steps. Fusion platforms like DORA expect these processed grids rather than raw line data.
Try It With Geocluster
Getting airborne geophysics grids ready to fuse with other geological datasets is foundational data work. Consistent projections, resolution and metadata all matter. Geocluster can help streamline that research before the data ever reach a targeting model. Read how the Geocluster Research Harness works to see where it fits.