GeoAI - Change detection use case - Winnipeg
Temporal analysis of changes in Winnipeg, Manitoba, based on GeoAI features automatically extracted from satellite images acquired in 2013 and 2023. Simple geospatial analysis enables the detection of features present in 2023 that were not already there in 2013. The addition of new buildings is a good indicator of urban development and/or sprawl. Complementarily, an analysis of changes in the forest coverage from the GeoAI datasets is done. This analysis reflects the gains and losses between both dates.
GeoAI enables temporal coverage of various areas in Canada, thus providing a useful tool for change detection and trend analysis at high resolution. While the series is still fairly new, and such examples are limited for the time being, NRCan strives to gradually increase its GeoAI data offering for both spatial and temporal coverage.
For more information about the GeoAI - GeoBase Series, please visit the following link: https://open.canada.ca/data/en/dataset/74738ff5-5367-5958-9aee-98fffdcd1876
Metadata
Date Created
2026-05
Date Published
2026-05
Temporal Coverage
2013 - Present
Access in last 30 days
12
All time access
26
Source(s) and Citation
Government of Canada; Natural Resources Canada; Geoscience and Earth Monitoring Sector. (2026-05). GeoAI - Change detection use case - Winnipeg.
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Related keywords
earth sciences, geobase, geoai, artificial intelligence, automatic extraction, change detection, buildings, forests, roads, calgary, artificial intelligence, geographic data
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