3DroneMapping

06/10/2026

Nothing else we know of checks survey files before they are uploaded.

Drop a GeoTIFF or a LAZ into SurveyDeliver and, before a byte leaves your computer, it reads the header, finds the coordinate system, draws the footprint on a map and tells you the upload size and time. Wrong UTM zone, missing .prj, data sitting at 0°, 0°: you hear it in seconds, in plain words, not after an hour of uploading.

How it works: https://surveydeliver.io/guides/data

05/10/2026

We created a drone data delivery platform for all our data deliveries, go see it and sign up for a trial account.

SurveyDeliver is open.

Upload the survey files you already export. We check them before they upload, convert them, and your client gets one link with your logo: a map they can measure on, a 3D view of the point cloud, and the downloads. No software for them, no tiling for you.

Built by a working drone survey company, for the deliveries we send ourselves.

14-day trial, and 30% off your first three months until 30 November.

A real delivery to click through: https://surveydeliver.io/sample/
https://surveydeliver.io

04/09/2026

New way to get your survey data from us 🛰️

Every 3DroneMapping project now lands on its own web page: view the 5 cm orthomosaic with contours, fly through the full LiDAR point cloud, colour it by elevation or classification, cut cross-sections and export them to CAD — all in the browser, nothing to install. Full-resolution downloads at the bottom.

Try the sample project — 715 ha of Karoo farmland in South Africa, DJI L3 / M400:
https://delivery.3dronemapping.com/sp-01/

Full write-up: https://www.3dronemapping.com/post/your-survey-data-live-in-the-browser-introducing-the-3dronemapping-delivery-portal

24/06/2026

Pyramid Kabong (Lapeirousia pyramidalis)

20/05/2026

New blog: Verifying the accuracy performance of the DJI L3 LiDAR scanner with the Emlid Reach RS4 Pro. We tested the DJI M400 + L3 against the Emlid Reach RS4 to see how the systems compare in real-world mapping accuracy. Read the full results and key takeaways on the blog.
https://www.3dronemapping.com/post/accuracy-of-the-dji-l3-lidar-scanner-with-the-emlid-reach-rs4-pro

Testing the DJI M400 and L3 LiDAR scanner against the Emlid Reach RS4

27/02/2026

We recently completed a mining-site case study using LiDAR-enabled drones to produce high-resolution DTMs and classified point clouds that directly supported operational decisions. The deliverables reduced survey time, improved spatial accuracy, and allowed safe assessment of hazardous zones without putting teams at risk. Our bespoke drone platforms were key to capturing the right data under site-specific conditions. Read the full case study and see the results: https://wix.to/UrZy1tR . Contact us to discuss how this approach can work on your African projects.

26/02/2026

We took a remote southern African concession that was impractical for ground crews and completed a full orthomosaic and classified point cloud survey in a single day using our custom long‑range drone LiDAR. The flight covered 120 km² with vertical accuracy within 3 cm, cutting field time by over 70% compared with traditional methods. Our fleet is configured for local terrain and weather, giving engineers and mine planners reliable, survey‑grade deliverables where access is limited. Learn how this approach can streamline your next project: https://wix.to/j9TgalE

25/02/2026

We choose drone-based LiDAR because it delivers schedule certainty and lowers project risk on large or hard-to-reach African sites. Our long‑range drones cover extensive areas quickly, reducing time on the ground while producing classified point clouds and DTMs you can act on immediately. That means faster decisions for procurement and technical teams, fewer surprises in the field, and clearer progress reporting. Learn how 3DroneMapping brings reliable, high‑quality aerial LiDAR to mining, oil & gas, farming, engineering and town planning projects: https://wix.to/AkLCIDq . Contact us to discuss your site and timeline.

06/02/2026

We completed a large-scale aerial survey across ~31,000 hectares in Iganga, Uganda to support a proposed irrigation and damming scheme. Using our long-range, custom-built drones equipped with a 50MP metric camera, INS (1 cm positional / 0.004° angular), and a Livox Avia LiDAR (720k pps), we delivered orthomosaics, LAZ point clouds and raster DTMs tied to WGS84 UTM Zone 36N with EGM2008 heights.

Key outcomes: precise DTMs for dam and canal siting, >5 cm vertical accuracy, 5–6 pts/m² density, and full-area coverage despite dense vegetation — LiDAR ensured reliable ground models where photogrammetry struggled. Ground control used 10 points at 20 mm accuracy; trajectory processing combined PPP and PPK to keep positional deviations under 1.5 cm.

If you’re planning irrigation, water-resource or infrastructure projects in challenging African environments, we provide the high-accuracy geospatial foundation engineers and planners need. Tell us about your site — let’s discuss how our tailored drone solutions can de-risk design and improve outcomes. https://wix.to/Ay5QZkt

04/02/2026

We completed a high-accuracy LiDAR and aerial survey for the Kao diamond mine in Lesotho, covering ~315 hectares and delivering survey-grade products for mining and engineering use. Using our in-house rotary-wing UAV fitted with a 60 MP metric camera, dual-frequency GNSS/IMU and a LIVOX Avia LiDAR, we achieved: average LiDAR density >80 pts/m², 5 cm GSD orthophotos and vertical accuracy better than 1.5 cm (1‑sigma).

To meet centimetre-level targets we installed 12 permanent ground-control points (QC to