Permanent Laser Scanning Point Clouds for Landslide Displacement in Forested Terrain

600 sequential point clouds acquired at three-hour intervals for monitoring a forested landslide. The data was used to evaluate a temporal aggregation method for improving tree trunk tracking and quantifying 3D landslide displacements. The dataset is associated with a study authored by Ronald Tabernig and was last updated in October 2025.

Use Cases

• Developing algorithms for point cloud temporal aggregation based on the described method.
• Training models for tree trunk detection and tracking in forested landslide areas.
• Quantifying 3D ground displacement from sequential laser scans.
• Simulating virtual laser scanning scenarios for method validation.

Strengths

• Comprises 600 individual scans with a defined acquisition frequency of three hours.
• The described method reportedly increased detectable tree trunks by a factor of 5-6.
• Performance gains from temporal aggregation were quantified, plateauing after three aggregated scans.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

heiDATA Harvested Dataverse

Collection Method

Acquired via a permanently installed terrestrial laser scanner repeatedly scanning through the canopy.

Time Range

Temporal coverage is not explicitly stated, but the time series comprises 600 scans.

Freshness

Last updated 2025-10 14 20:23:35; freshness should be verified.

Geography

A forested landslide area, likely in a region with Pinus cembra and Picea abies species.