Automatically Extracted Buildings
“Automatically Extracted Buildings” is a raw digital product in vector format created by NRCan. The feature classes of this product delineate polygonal building footprints automatically extracted from airborne Lidar data, high-resolution optical imagery or other sources.
The first feature class, Automatically Extracted Buildings by acquisition source, contains building footprints delivered according to the spatial extent of each source dataset used for extraction. When the spatial extents of acquisition sources overlap, footprints for the same building may therefore be duplicated in this class.
The second feature class, Optimized Buildings Layer, is an assembled and harmonized layer derived from the buildings by acquisition source. Its objective is to provide a unique representation of each building footprint by removing duplicates and resolving overlaps between sources.
Metadata
Date Created
2018-11
Date Published
2025-08
Temporal Coverage
2006 - Present
Access in last 30 days
455
All time access
2,650
Source(s) and Citation
Government of Canada; Natural Resources Canada;Geoscience and Earth Monitoring Sector. (2025-08). Automatically Extracted Buildings. Government of Canada; Natural Resources Canada;Geoscience and Earth Monitoring Sector.
Use Limitations
Map
Data resources
Resources
Select Category
Data resources
Index of available files (drag and drop the kmz file in Google Earth to localize your region of interest)
Type:
Supporting Document
Format:
KMZ
Languages:
Not available
Automatic Extraction of Building Footprints (Group layer)
Type:
Web Service
Format:
WMS
Languages:
English
Automatic Extraction of Building Footprints (Group layer)
Type:
Web Service
Format:
WMS
Languages:
French
Customized files (selectable extent, clipping and format) Geospatial-Data Extraction Tool (French interface)
Type:
Application
Format:
Web App
Languages:
French
Customized files (selectable extent, clipping and format) Geospatial-Data Extraction Tool (English interface)
Type:
Application
Format:
Web App
Languages:
English
Related keywords
Similar records
Tell us what you think!
GEO.ca is committed to open dialogue and community building around location-based issues and
topics that matter to you.
Please send us your feedback