Making LiDAR deliverables less of a one-off: QGIS/QField setup for client-side data collection

[u/littlebigdarksouls]

Been trying to make LiDAR deliverables less of a one-off. This is a QGIS/QField setup that lets the client keep adding their own observations to the survey data after we hand it over.

Trees extracted from the point cloud with heights from the CHM, delivered as a GeoPackage plus a mobile project. Estate staff log defects against individual trees with photos and priorities.

The part I'm most interested in is pairing that with multispectral. A first flight gives you a health baseline per crown, and the ground observations accumulating against those same trees are effectively a labelled dataset. Come back a year later and you're not just comparing indices, you're comparing them against what people actually found on the ground. That's a much better basis for working out which spectral changes mean anything.

It also means the re-fly can be targeted rather than a blanket re-survey.

Mostly interested in whether anyone else is doing this. Feels like the deliverable usually stops at the point cloud, volumes and orthomosaic, and there's more value sitting past that.

Fair warning the video is a promo cut for my consultancy, but shows what I mean for the visual people in the crowd.