TMU Kerr Hall 3D Point Cloud from LiDAR, May 2026

A high-density 3D point cloud of the Kerr Hall building at Toronto Metropolitan University, captured at 162 points per square meter. The data was collected on May 7, 2026, using a DJI M300 RTK vehicle equipped with a Zenmuse L1 sensor flying at 70 meters altitude. It is an unclassified but colourized point cloud provided in LAZ format, projected in the NAD 1983 CSRS UTM Zone 17N coordinate system.

Use Cases

• Generate 3D building models for architectural studies based on the detailed point cloud geometry.
• Perform volumetric analysis of campus structures based on the precise geospatial coordinates.
• Create realistic visualizations for campus planning based on the RGB-colourized point data.
• Assess LiDAR sensor performance for building capture based on the documented flight and processing parameters.

Strengths

• High point cloud density of 162 points per square meter.
• Precise geospatial referencing using the NAD 1983 CSRS UTM Zone 17N projected coordinate system.
• Detailed metadata includes specific flight parameters (70m altitude) and sensor equipment (DJI Zenmuse L1).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• The point cloud is unclassified, which may require additional processing for specific feature extraction.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Borealis Harvested Dataverse, author Dan Jakubek.

Collection Method

Captured via aerial LiDAR survey using a DJI M300 RTK vehicle with a Zenmuse L1 sensor.

Time Range

Single capture date: May 7, 2026.

Freshness

Last updated 2026-05-30 04:10:54; freshness should be verified.

Geography

Kerr Hall building on the Toronto Metropolitan University campus, with precise bounding coordinates provided.