Land-use Change Detection compares satellite images across time to automatically surface what changed on the ground: cleared forest, new construction, riverbank erosion, or encroachment on protected land. Deep-learning models produce change polygons with confidence scores, which are reviewed on a web map and exported to GIS formats for authorities and enterprises managing large territories.

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