PixelSort AI

Classify land use from satellite imagery for environmental monitoring

Geospatial AIFreemium

PixelSort AI classifies land use and land cover from multispectral satellite imagery using deep learning models trained on global reference datasets. It tracks changes between acquisition dates to detect deforestation, urban expansion, wetland loss, and agricultural conversion. Environmental agencies and NGOs use it to monitor land use compliance with regulations and track ecosystem change across regions too large for ground-based monitoring.

Key Features

• ✓Land use classification
• ✓Change detection
• ✓Multi-temporal analysis
• ✓Deforestation monitoring
• ✓Urban growth tracking