OneAtlas Analytics

Organisations need timely, validated satellite imagery and analytics to make operational decisions across planning, operations and risk management. Airbus' OneAtlas Analytics platform extracts powerful geospatial insights at scale from Airbus-owned satellite data using AI and machine learning, turning raw imagery into actionable intelligence for customers across public administration, cities, infrastructure, insurance and more.

OneAtlas Analytics provides automated object detection (vehicles, aircraft, ships) with +90% accuracy, fully automated land use classification, infrastructure change detection, and multi-temporal area monitoring — all accessible via API, a web portal, or the Earth Monitor tool. Results are delivered in vector and GeoJSON formats, typically within minutes for fully automated analytics, and integrate with leading GIS platforms including QGIS and ArcGIS.

Key capabilities:

• Activity Analysis & Monitoring: AI-powered detection and classification of cars, trucks, aircraft (6 classes) and ships (7 classes) from Pléiades Neo (30 cm), Pléiades (50 cm) and SPOT (1.5 m) imagery.
• Land Analytics: Fully automated Airbus land use classification with 8 classes, or high-accuracy map extraction with 12 classes in partnership with Ecopia AI.
• Infrastructure Analytics: Machine learning detection of infrastructure and man-made changes over time.
• Change Detection: Multi-temporal differencing with optional human-reviewed quality-controlled outputs.
• Flexible Access: API integration, Analytics Toolbox portal, and Earth Monitor for multi-AOI monitoring; pricing based on analysed surface area.