GeoAI are buildings, hydrography, forests, and roads automatically extracted using Deep Learning models applied to a source dataset, typically aerial or satellite images. The primary aim of GeoAI is to increase Canada's availability of high-resolution foundational geospatial data for both spatial and temporal coverage.
The infrastructure and expertise put in place by NRCan enables a rapid, efficient, and scalable data creation process through the use of leading-edge technology and Artificial Intelligence models. Published datasets for a given source can be revisited at a later date as more accurate models are developed and put into production. For now, only static files are available, but as the series develops, new products and services will be added.
- Publisher - Current Organization Name: Natural Resources Canada
- Licence: Open Government Licence - Canada
Data and Resources
-
GeoAI Data IndexESRI RESTFrench web_service ESRI REST
-
GeoAI Data IndexESRI RESTEnglish web_service ESRI REST
-
Prepackaged Shapefiles (download directory)SHPNo linguistic content; Not applicable dataset SHP
-
Prepackaged FGDB files (download directory)FGDB/GDBNo linguistic content; Not applicable dataset FGDB/GDB
-
Prepackaged GPKG files (download directory)GPKGNo linguistic content; Not applicable dataset GeoPackage
-
Product documentationPDFEnglish guide PDF
-
Product documentationPDFEnglish guide PDF
-
GeoAI Data IndexKMZEnglish dataset KMZ
Contact Information
Electronic Mail Address: geoinfo@nrcan-rncan.gc.ca