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Land-use Change Detection

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.

Land-use Change Detection

Tech Stack

AI/ML
PyTorchSiamese U-Net
Other
GDALQGIS
Database
PostGIS

Key Features

Automated change polygons with confidence
Deforestation and encroachment alerts
Construction change monitoring
GIS export (Shapefile/GeoJSON)

Try It Live

GeoAI Satellite Analysis

Drag the slider to compare dates, or switch to NDVI to read crop health from space

0.950.910.88
2023
2026
Drag to compare
Detected Changes
Deforestation95%
area: 10.1 ha
New construction91%
area: 6.7 ha
Water change88%
area: 9.0 ha

Simulated demo in your browser. Production pipelines run U-Net / Siamese models on Sentinel-2 and Landsat imagery, exporting GIS layers.

Change DetectionSiamese NetworkLandsatGIS