River Teme Point Clouds from UAV Laser Scanning and Photogrammetry

A vegetated river reach in the UK is represented by unfiltered point clouds. These directly georeferenced point clouds were created for PhD research, using UAV laser scanning (ULS) and structure-from-motion (SfM) derived from UAV multispectral (UAV-MS) data. The data is provided as supporting information by Chris Tomsett of the University of Southampton.

Use Cases

• Compare point cloud generation methods based on UAV laser scanning versus structure-from-motion photogrammetry.
• Analyze vegetation structure and ground topography in a riverine environment based on unfiltered point cloud data.
• Develop or validate filtering and classification algorithms for point clouds in vegetated areas.
• Study river channel morphology and change detection based on high-resolution 3D geospatial data.

Strengths

• Point clouds are directly georeferenced in the WGS UTM_30N coordinate reference system.
• Data includes two distinct acquisition methods: UAV laser scanning (ULS) and SfM-derived from UAV multispectral imagery (UAV-MS).
• The dataset represents a specific, real-world vegetated river reach.

Limitations

• Row count and total file size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The last update date is unknown; freshness unverified.

Provenance

Source

Chris Tomsett, University of Southampton

Collection Method

UAV laser scanning (ULS) and structure-from-motion (SfM) photogrammetry from UAV multispectral (UAV-MS) imagery.

Geography

River Teme, a vegetated river reach in the United Kingdom.