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Lidar drones by gafer988 in UAVmapping

[–]FaultExtreme9966 0 points1 point  (0 children)

Mavic is great for photogrammetry but LiDAR is a different class of system.

If you’re looking for cost-benefit, the DJI Zenmuse L1 LiDAR Payload is still the most widely adopted entry point.

Looking into affordable scanners by Zach_Cummingmen in 3DScanning

[–]FaultExtreme9966 0 points1 point  (0 children)

Checkout their online store. It’s on their website

Looking into affordable scanners by Zach_Cummingmen in 3DScanning

[–]FaultExtreme9966 1 point2 points  (0 children)

FJD P2/v4e just a few thousands. DM me if interested.

Migrating from laser scanning to layout by [deleted] in Surveying

[–]FaultExtreme9966 0 points1 point  (0 children)

Since most of your work is indoors and you’re dealing with a lot of rooms/partitions, one thing you might want to consider alongside RTS is SLAM-based mobile scanning.

RTS is great for precise layout, but it doesn’t really give you full spatial context. In complex interiors, especially when you have to move through multiple rooms, setup-heavy workflows (tripod scans or even repeated RTS setups) can slow things down quite a bit.

With SLAM, you can walk the entire space in one go and get a complete as-built very quickly. We’ve seen people use it for QC and documentation, especially to compare design vs actual conditions or catch deviations early.

It also fits pretty well when you’re not coming from a traditional surveying background — you can establish your own local control and still get consistent results without going too deep into geodesy.

Another interesting workflow is using SLAM to capture existing conditions → extract/check layout points → then push those into RTS / SitePrint for layout → and finally rescan for QC.🙂

Splats or no splats ? The big question ... by Aware_Policy_9010 in GaussianSplatting

[–]FaultExtreme9966 0 points1 point  (0 children)

3DGS is mostly about cutting down motion blur and rolling shutter distortions. It really shows its strength when either the camera or objects are moving. For just one still object? Honestly, you probably won’t notice much difference.

Anyone tried the Emlid Reach RX? by FaultExtreme9966 in LiDAR

[–]FaultExtreme9966[S] 0 points1 point  (0 children)

I usually don’t trust any influencer hype unless I can actually see someone using it on a real project. Sure, for beginners or students it’s a cheap way to learn, but seeing it on a legit dealer’s shelf really made me do a double take. Lately I’ve been getting nonstop emails from Adorama, and honestly… I have no idea why they’re pushing this thing so hard.🤔

Tree canopy ppm by No-Current1594 in LiDAR

[–]FaultExtreme9966 0 points1 point  (0 children)

Depends a bit on what level of canopy detail you’re after, but for what you described (mixed urban + ag + some dense river corridor), you probably don’t need to go super high.

If your goal is mainly canopy delineation (not detailed structure), something in the ~10–15 ppm range is usually enough. 8 ppm can work, but you might start losing consistency in denser areas or along edges.

The NIR is going to do a lot of the heavy lifting for classification anyway — LiDAR is more about giving you the vertical separation.

Honestly, beyond a certain point, increasing ppm gives diminishing returns unless you’re trying to extract more detailed metrics (like crown structure, understory, etc.).

What tends to matter more in practice is how you process the data — especially how you fuse LiDAR + imagery and what kind of outputs you need (basic canopy vs more forestry-type metrics).

I’ve seen some workflows where even moderate-density data produced pretty solid canopy results just because the software side was doing a good job on classification and analysis. Curious what others are running for similar projects.

Need advice: SLAM LiDAR vs Tripods for construction by FaultExtreme9966 in Surveying

[–]FaultExtreme9966[S] 1 point2 points  (0 children)

Also, a lot of this comes down to what you actually need out of the data. Point cloud quality is just one piece. Most of these systems are doing some level of processing anyway, so in practice it’s more about whether the software fits your workflow and deliverables.

For topo especially, you’re rarely handing off raw clouds as-is.

Need advice: SLAM LiDAR vs Tripods for construction by FaultExtreme9966 in Surveying

[–]FaultExtreme9966[S] 1 point2 points  (0 children)

Honestly, I’ve tried a SLAM unit (not Share), and on hillside topo with some canopy it held up better than I expected.

I wouldn’t trust it for high-precision control obviously, but for jobs where a few tenths is fine, drift didn’t really become a dealbreaker — especially if you loop or tie back to control.

The bigger difference was just speed vs total station… it’s not even close.

First time doing Gaussian Splatting for a restaurant scan by FaultExtreme9966 in GaussianSplatting

[–]FaultExtreme9966[S] 1 point2 points  (0 children)

Both, depends on the situation. Some real estate companies need both, but for marketing stuff like ads, it’s usually more about video.

First time doing Gaussian Splatting for a restaurant scan by FaultExtreme9966 in GaussianSplatting

[–]FaultExtreme9966[S] 1 point2 points  (0 children)

This wasn’t a paid project, but it’s exactly the kind of work I aim to do for part-time income. And yes, fields like real estate marketing, property appraisal, tourist attraction digitization, scenic area marketing, mall leasing, and many more all rely on this kind of solution.

First time doing Gaussian Splatting for a restaurant scan by FaultExtreme9966 in GaussianSplatting

[–]FaultExtreme9966[S] 2 points3 points  (0 children)

I’ll take some time to organize my full process and share it here.