AI-Assisted Drone Survey and 3D Terrain Modeling

Mon, 21 Sep 2026 00:00:00 +0800

Key Takeaways

Baseline topographic survey and 3D terrain modelling are now largely drone/LiDAR-driven, with AI showing up in two distinct places: autonomous SLAM navigation during capture, and implicit-modelling interpolation once the data lands.
Emesent Hovermap pairs LiDAR with AI-driven SLAM to map GPS-denied pit walls, stopes, and underground workings without a human pilot holding a line.
Pix4D and DJI Terra remain the workhorse photogrammetry stack for turning drone imagery into orthomosaics and point clouds.
Once you have topographic data, Leapfrog Geo, Maptek Vulcan, and Datamine Studio RM turn it into a 3D surface/DTM using implicit modelling, and Seequent’s newer Driver module adds ML-assisted interpretation on top.
This is still “Emerging” territory: AI here is an accelerant on an established photogrammetry/implicit-modelling workflow, not a replacement for it.

TL;DR

Fly the site with a LiDAR/photogrammetry drone (autonomous SLAM units like Hovermap handle GPS-denied areas), process the imagery in Pix4D/DJI Terra, then bring the point cloud into an implicit-modelling package like Leapfrog to generate your DTM and 3D surfaces — with Seequent’s Driver module increasingly doing the interpolation heavy lifting.

Mine Geological Model

Mon, 21 Sep 2026 00:00:00 +0800

Key Takeaways

Leapfrog Geo (Seequent), Micromine, and Datamine are the established platforms for building the mine geological model.
Leapfrog’s implicit modelling engine uses radial basis function (RBF) interpolation — an ML-adjacent mathematical technique — to build 3D geological surfaces directly from data, faster than traditional explicit wireframing.
Implicit modelling, pioneered by Leapfrog, has since been adopted by Micromine, Mintec’s Minesight, and Maptek’s Eureka — it’s now the industry-standard approach rather than a differentiator.
Marked “Emerging” because RBF-based implicit modelling, while fast and mathematically ML-adjacent, isn’t the same as a trained predictive model — genuinely learned (e.g. deep-learning-based) geological modelling is still research-stage (see our companion post on AI-Assisted Implicit Geological Modelling).

TL;DR

Build your mine geological model in Leapfrog Geo, Micromine, or Datamine using implicit modelling (radial-basis-function interpolation) rather than manual wireframing — it’s fast and now industry-standard, though it’s ML-adjacent rather than a trained AI model in the strict sense.

Topography on Eigenform AI Geo Tooltips

AI-Assisted Drone Survey and 3D Terrain Modeling

Key Takeaways

TL;DR

Mine Geological Model

Key Takeaways

TL;DR