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.
Drag the slider to compare dates, or switch to NDVI to read crop health from space
Simulated demo in your browser. Production pipelines run U-Net / Siamese models on Sentinel-2 and Landsat imagery, exporting GIS layers.