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Guides for capturing better data, understanding your deliverables, and getting the most out of DroneFlow.Ai. Search below, or browse by topic.
Getting Started
5 articlesWhat is DroneFlow.Ai?
A plain-English overview of what DroneFlow turns drone imagery into, and who it's for.
Creating your account and starting your free trial
How sign-up works, what the trial includes, and why no credit card is required.
Uploading your first project
Raw photos vs. a processed export, what to zip, and what happens after you hit upload.
Understanding your deliverables
A quick tour of every output DroneFlow produces and when you'd reach for each one.
Navigating the map and 3D viewer
Where the tools live, how the map and 3D tabs differ, and how to switch base layers.
Capture & Flight
5 articlesPlanning a good mapping flight
Overlap, altitude and ground sampling distance — the three settings that decide your quality.
Nadir vs. oblique: which to fly
Straight-down photos make the best maps; angled photos make the best 3D. Here's how to choose.
Ground control and RTK for accuracy
How GCPs and RTK/PPK anchor your data to the real world, and when you actually need them.
How many photos do I need?
What drives photo count, how it maps to credits, and how to keep a capture efficient.
Common capture mistakes that hurt results
The handful of field mistakes that cause most weak or failed reconstructions.
Deliverables Explained
6 articlesOrthomosaic: what it is and how to use it
The georeferenced, distortion-corrected site image — the base layer for measuring on the map.
DSM vs. DEM: the two elevation models
Surface vs. bare-earth elevation — what each measures and which one your task needs.
Contours: intervals, datums, and CAD export
Elevation lines at the interval you choose — how they're generated and how to get them into CAD.
3D models and point clouds
The textured mesh you orbit in the browser, and the dense point cloud behind it.
Coordinate systems and vertical datums
Why elevations can look 'off by a constant' — ellipsoidal vs. orthometric, and choosing your datum.
The QA report: how we verify your data
The automated quality gate that checks every deliverable before you rely on it.
Working in the App
7 articlesMeasuring distances, areas, and elevations
The core measurement tools, and how to read what they give you.
Volumes and cut/fill analysis
Measure material volume, and compare the ground against a design surface for earthwork.
Stockpile measurement and tracking over time
Measure a pile once, then watch its volume and tonnage change across flights.
Checkpoints and accuracy verification
Prove your data's accuracy against surveyed points instead of just claiming a number.
Comparing flights and building a progress timeline
Put two flights side by side, or string many into a timeline to track a site over months.
Annotating your map
Pins, notes, and lines that stay on the project — and show who added them.
AI Map Doctor: automated quality inspection
An AI pass that flags visual defects in your map and 3D model, with an optional repair step.
Sharing & Team
3 articlesShare links and viewing as a client
Give a client a view-only link — no account needed — and control what they can see.
White-label and branding your client delivery
Put your company's identity on everything your client opens — the pages and the reports.
Team seats, roles, and access control
Add teammates, control what each can do, and keep every account's data isolated.
Account & Billing
3 articlesPlans and photo credits
How DroneFlow bills processing — plan allotments plus pay-as-you-go photo credits.
Managing your trial and subscription
What happens when the trial ends, how to subscribe, and what a cancellation keeps.
Downloading, exporting, and data ownership
Every deliverable is yours to download in standard formats — nothing is locked in.
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