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Debris basins · Flight simulation

What a drone LiDAR survey of a debris basin looks like

A simulated flight over the Auburn debris basin in Sierra Madre. The terrain around it is real, and the points that fill in are the published drone LiDAR survey of the basin.

Aerial imagery around the Auburn debris basin, Sierra Madre, CA

Interactive 3D · about 8 MB download

Simulation. The flight path is generated for this page and the drone is a generic model shown larger than life. The points are a published drone lidar survey by Caltech, replayed along the simulated path; they are not Twinn Digital project data. Sources

What you're watching

How a drone LiDAR survey is flown

Each pass measures the sediment in the basin, the dam face and the burned slopes above it. Fly it again after the next storm and the difference between the two surfaces is the cubic yards that came in.

The flight is planned by software

Our AI agents lay the flight lines over a terrain model of the site, set the height above ground and the spacing between lines, and check the airspace. A licensed Part 107 remote pilot reviews the plan and is in command for the whole flight.

The drone follows the terrain

The aircraft holds a set height above the ground, climbing over ridges and dropping into low ground, so the laser footprint and point density stay even across the site.

Lines overlap side to side

Each pass sweeps a swath of ground with the laser. The next line overlaps it, so slopes facing away from one pass are seen from the other and gaps fill in.

The point cloud builds as it flies

Hundreds of thousands of laser pulses per second each return a 3D point. Back at the office the passes are aligned, checked against ground control and turned into the surfaces and numbers you file.

Then put the same data to work: debris basin storm tracker.

Want this flight over your site?

We rent the aircraft and sensor each job calls for, plan the flight with our AI agents, and fly it with a Part 107 pilot in command. Fast turnaround on the deliverables.

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Credit

Sources

Point cloud: Haireti, A., Chen, Z., Geyman, E., and Lamb, M. P. (2026). UAV LiDAR Surveys for Quantifying Post-Eaton Fire Sediment Mobilization, CA. Caltech. https://doi.org/10.5069/G9M043MB · License: CC BY 4.0

Imagery: USGS The National Map (public domain).

Terrain: AWS Terrain Tiles (Mapzen), from USGS 3DEP, SRTM and other open sources.

The point cloud is a random sample of 1million points from the published survey. The terrain around it is a lower-resolution elevation model shifted to match the survey's elevations; inside the survey area it sits just under the points. Twinn Digital is not affiliated with the data publishers.

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