Building footprints

Building footprint mapping corresponds to a building’s boundaries projected onto the ground, as seen from the sky.

Product features

The footprint is extracted directly from a LiDAR point cloud classified by artificial intelligence using a patent-pending method developed by XEOS Imaging.

The height of each building, calculated from the median ground level elevation around the building, is associated as an attribute.

The accuracy of the building footprint depends on the density of LiDAR points and the diameter of the laser beam used during the LiDAR flyover. As a general rule, accuracy is around 50 cm to 1 m, depending on the LiDAR dataset used.

Sheds and buildings under tree cover are generally well detected, especially if the LiDAR acquisition was carried out in spring or autumn. Some buildings, however, may not be detected if they are not present in the LiDAR point cloud. This sometimes happens with tin roofs, new black asphalt shingles or glass roofs.

For whom?

• Cities that want to detect changes that have been made without a permit or identify dwellings in flood-prone areas
• Land surveyors
• Architects
• Telecommunications companies
• etc.

File format: .SHP (2D polygon)