GeoAI - Change detection use case - Iqaluit
Temporal analysis of changes in the Iqaluit region, Nunavut, based on GeoAI features automatically extracted from satellite images acquired in 2012 and 2022. Simple geospatial analysis intersecting GeoAI multidate building features enables the detection of buildings observed in 2022 that were not detected in 2012. The addition of new buildings is a good indicator of urban development and/or sprawl.
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
2012 - Present
Access in last 30 days
9
All time access
12
Source(s) and Citation
Government of Canada; Natural Resources Canada; Geoscience and Earth Monitoring Sector. (2026-05). GeoAI - Change detection use case - Iqaluit.
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Related keywords
earth sciences, geobase, geoai, artificial intelligence, automatic extraction, change detection, buildings, roads, iqaluit, artificial intelligence, geographic data
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