Geo AI & Geospatial Analysis
Spatial Intelligence for Smart Decisions
Harness the power of geodata and artificial intelligence for precise location and spatial analytics. From satellite imagery to IoT sensors.
Geo AI: The Future of Spatial Data Analysis
Geo AI combines Geographic Information Systems (GIS) with artificial intelligence and machine learning. This enables the recognition of complex spatial patterns and precise predictions based on geospatial data.
Satellite Data Analysis: Processing Sentinel, Landsat and commercial satellite imagery for various applications.
Location Intelligence: Location-based analytics for optimal business decisions.
Spatial Modelling: Machine learning models for geographic predictions.
Our Geo AI Services
1. Satellite Data Analysis
- Vegetation monitoring (NDVI, EVI)
- Land use classification
- Change detection over time
- Agricultural yield forecasting
2. Location Intelligence
- Site optimisation for stores and warehouses
- Catchment area analysis
- Real estate valuation with geodata
- Market potential analysis
3. IoT & Sensor Integration
- GPS tracking and movement analysis
- Environmental sensor data processing
- Smart city applications
- Precision agriculture
4. Spatial Prediction Models
- Traffic forecasting
- Environmental monitoring
- Risk modelling (natural disasters)
- Population development
Application Areas
Agriculture
Precision Farming: Optimisation of seeds, fertiliser and irrigation through satellite-based field analysis.
Harvest Monitoring: Prediction of harvest times and yields based on vegetation indices.
Real Estate & Urban Planning
Location Assessment: AI-based evaluation of real estate locations considering diverse geodata.
Urban Analytics: Analysis of urban development and traffic flows.
Logistics & Supply Chain
Route Optimisation: Intelligent route planning considering traffic, weather and other factors.
Warehouse Location: Optimal site selection for warehouses and distribution centres.