Laser-scanned forest data becomes a layered hologram

FGI · point-cloud hologram

For the Finnish Geospatial Research Institute, flyAR created an interactive point-cloud visualization showing how laser-scan data can be automatically classified into layers such as tree canopy, roads, and buildings.

Client: Finnish Geospatial Research Institute
Sector: Research
Year: 2019
Service: Construction marcom & spatial viz
Delivery: Browser · QR

01 Problem

Problem

Point-cloud classification is powerful, but difficult to explain from raw data or flat diagrams to event audiences.

02 Approach

Approach

We presented the classified forest-area dataset on a sci-fi hologram table and let users toggle layers on and off to see what each classification meant.

03 Outcome

Outcome

Laser-scan data became visually legible to non-specialist audiences.
Layer toggles made classification understandable through interaction.
The hologram-table framing made the data feel like an exhibit, not a file.

Inputs we worked from

Point-cloud dataset
Automatic classification layers
Forest and building scan data

Audiences

Event visitors
Research stakeholders
Geospatial audiences

Deliverables

Interactive point-cloud visualization
Layer toggles
Hologram-table scene

Service used

Construction marcom & spatial viz

Turn drawings, BIM, and renders into experiences buyers, residents, and approvers can open and explore.

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