· Photogrammetry Workflow Guide
How to Create a Georeferenced NeRF from Drone Imagery
Build georeferenced NeRFs from drone imagery: RTK/PPK integration, COLMAP geo-registration, Nerfstudio, point cloud export, checkpoint validation.
Drone Mapping · Photogrammetry · LiDAR · GIS
Drone mapping, explained by a geospatial specialist.
The complete workflow — from flight planning to professional geospatial deliverables.
Recent
· LiDAR
Ground Classification: LAStools vs CloudCompare vs ArcGIS Pro
How to pull the bare earth out of a 50-million-point drone photogrammetry cloud. The three tools compared: algorithm, workflow, cost, failure modes, and which one to pick.
· Photogrammetry Software
WebODM Settings Explained: Get the Best from OpenDroneMap
Every ODM processing parameter explained: feature-quality, pc-quality, matcher-type, mesh-size, SMRF, orthophoto-resolution. Three usable presets.
· Survey Accuracy & GCPs
Drone Map Vertical Bias: Why GCPs Don't Always Save You
Your drone map is a meter low everywhere except around the GCPs. Here is the diagnostic decision tree for vertical bias — and the fixes that actually work.
· Software & Processing
Installing and Running WebODM Locally: The Complete Setup Guide
WebODM install guide for Windows, Mac, Linux: Docker setup, first task, hardware requirements, common errors. Free photogrammetry on your hardware.
· Survey Accuracy
RMSE Explained for Drone Surveyors: What the Number Means
RMSE drone mapping explained: what the formula means, why vertical is always worse, CE90/LE90 conversions, NSSDA statements, when it's good enough.
· Data Processing
Drone Deliverable Handoff Checklist: What Leaves Your Office
Drone mapping deliverable handoff: file formats, CRS documentation, accuracy statements, client communication. Part 6 of the checklist series.
· Photogrammetry
Point Cloud Classification: Ground, Vegetation & Buildings
Classify drone point clouds into ground/vegetation/buildings with Metashape, LAStools, PDAL, CloudCompare, ArcGIS Pro. Tool decision framework.
Series
Defensible Accuracy
4parts published
Drone Mapping Checklist Series
7parts published
- 01Why Every Drone Mapping Mission Needs a Checklist
- 02The Pre-Flight Checklist for Drone Mapping
- 03Drone Mission Planning Checklist: The Parameters That Matter
- 04GCP Deployment Checklist: From the Truck to First Flight
- 05Post-Flight QA Checklist: Verify Before You Leave the Site
- 06Processing Checklist: From Raw Images to Defensible Deliverables
- 07Drone Deliverable Handoff Checklist: What Leaves Your Office
Consumer Drone Mapping — Crawl/Walk/Run
6parts published
- 03Your First Orthomosaic in 90 Minutes (No Experience Needed)
- 04DJI Mini Mapping Accuracy: Benchmarks With & Without GCPs
- 05GCP Setup for Non-Surveyors: DIY Ground Control on a Budget
- 06Flight Parameters: Overlap, Altitude & Speed for Mini Mapping
- 07Automated Mini 4 Pro Missions: WaypointMap vs Litchi
- 11WebODM vs Pix4D for Consumer Drones: Free vs Paid in 2026
ODM Cloud Series — Crawl/Walk/Run
1part published
Frequently Asked
How accurate is drone mapping?
A well-executed drone survey delivers 2–5 cm horizontal accuracy with proper ground control. Vertical accuracy typically runs 2–3× worse than horizontal on nadir-only flights — adding an oblique pass closes most of that gap. The number that matters is checkpoint RMSE against independent surveyed points, not the GCP RMSE your software reports.
Read the full accuracy guide →Do I need ground control points?
It depends on the accuracy class your project requires. Direct RTK/PPK without GCPs reaches 2–5 cm horizontal under ideal conditions, but vertical bias and doming can blow up without independent control. For any engineering, construction, or formal accuracy claim, GCPs plus independent checkpoints are not optional.
GCP placement and count guide →RTK or PPK — which should I use?
Both achieve comparable real-world accuracy when configured correctly. RTK gives real-time corrections in the field; PPK processes everything after the flight. PPK is more forgiving on remote or RF-noisy sites; RTK is faster when you have a reliable correction stream.
RTK vs PPK decision framework →Which photogrammetry software should I use?
Pix4D, Agisoft Metashape, WebODM, and RealityCapture each fit a different price point and workflow. WebODM is free and capable but needs hardware investment. Metashape is the most flexible for high-accuracy work. Pix4D excels at surveying templates. RealityCapture is fastest for very large datasets.
Vendor-neutral software comparison →What is the best drone for mapping?
For commercial work, a DJI Mavic 3 Enterprise or Phantom 4 RTK remains the practical default. For learning, side projects, and accuracy-tolerant work, a DJI Mini 4 Pro with proper GCPs delivers surprisingly good results — typically ±4–12 inches with disciplined workflow.
Consumer drone mapping buyer's guide →Colophon
Written by Eric — M.S. GIS, FAA Part 107, ten-plus years of geospatial work before drones were the interesting part of the job. Topics: photogrammetry, LiDAR, GCPs, RTK/PPK, coordinate systems, the software stack, and the parts of fieldwork that determine whether the deliverable holds up.
No sponsored posts. Vendor-neutral by default.