GeoAI - GeoBase Series

GeoAI - GeoBase Series 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. 2024-02-15 Natural Resources Canada geoinfo@nrcan-rncan.gc.ca Form DescriptorsEarth SciencesGeoBaseGeoAIArtificial intelligenceDeep learningAutomatic ExtractionVector Data ProductionTopographyBuildingsHydrographyForestsRoadsGeographic data GeoAI Data IndexESRI REST https://maps-cartes.services.geo.ca/server_serveur/rest/services/NRCan/GEOAI_Projects_fr/MapServer GeoAI Data IndexESRI REST https://maps-cartes.services.geo.ca/server_serveur/rest/services/NRCan/GEOAI_Projects_en/MapServer Prepackaged Shapefiles (download directory)SHP https://ftp.maps.canada.ca/pub/nrcan_rncan/vector/geobase_geoai_geoia/SHP/ Prepackaged FGDB files (download directory)FGDB/GDB https://ftp.maps.canada.ca/pub/nrcan_rncan/vector/geobase_geoai_geoia/FGDB Prepackaged GPKG files (download directory)GPKG https://ftp.maps.canada.ca/pub/nrcan_rncan/vector/geobase_geoai_geoia/GPKG Product specificationsPDF https://ftp.maps.canada.ca/pub/nrcan_rncan/vector/geobase_geoai_geoia/Doc/ Product specificationsPDF https://ftp.maps.canada.ca/pub/nrcan_rncan/vector/geobase_geoai_geoia/Doc/ GeoAI Data IndexKMZ https://ftp.maps.canada.ca/pub/nrcan_rncan/vector/geobase_geoai_geoia/Index

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.

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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.

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Contact Information

Electronic Mail Address: geoinfo@nrcan-rncan.gc.ca

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