Yukon Territory Building Footprints from LiDAR Orthophotos

Building footprints in the Yukon Territory were extracted from LiDAR orthophotos using deep learning models. Manual corrections and regularization tools were applied to refine the geometry of these structures. The dataset is maintained by the Government of Yukon and was last updated in March 2026.

Use Cases

• Detect and map building density changes over time using the LiDAR-derived footprint geometries.
• Validate and improve automated extraction algorithms by analyzing manually corrected building footprints.
• Integrate building footprint geometry with other spatial datasets for urban planning and infrastructure analysis in the Yukon.
• Assess the performance of the Regularize Building Footprint tool with a tolerance of 1 and precision of 0.25 on real-world data.

Strengths

• Data is derived from LiDAR orthophotos, a high-resolution remote sensing source.
• Includes manual corrections to address both erroneous and missed building extractions.
• Footprint geometry is simplified using a regularization tool with specified parameters (tolerance of 1, precision of 0.25).
• Maintained and distributed by the authoritative Government of Yukon, with a recent update in March 2026.

Limitations

• Specific scale, row count, and column details are unknown from the provided input.
• Coverage is limited to the Yukon Territory, which may not be representative of other geographic regions.
• Relies on the accuracy of the initial deep learning extraction, which may have residual errors despite manual correction.

Provenance

Source

Government of Yukon, distributed via GeoYukon.

Collection Method

Extracted from LiDAR orthophotos using deep learning, followed by manual corrections and geometric regularization.

Time Range

null

Freshness

Last updated 2026-03-11.

Geography

Yukon Territory, Canada.