Computer vision · Earth observation
Satellite & aerial monitoring
Detection and change monitoring from satellite and drone imagery, at scale.
First working version in 8–12 weeks
The problem
Earth-observation data is abundant and cheap; turning it into decisions is not. Teams drown in imagery while the events that matter — fires, changes, anomalies, encroachment — go unnoticed until late.
The challenge is an end-to-end pipeline: acquisition, cloud and quality filtering, detection tuned to your targets, geospatial post-processing, and alerts that reach the right people fast.
Our approach
Target and source definition
What you need to detect, how fast, over what area — matched to the right imagery sources and revisit rates.
Detection pipeline
Models for your targets across multispectral, optical, or SAR imagery, robust to clouds, seasons, and sensor differences.
Geospatial post-processing
From pixels to polygons, tracks, and change reports in your GIS tools.
Alerting and decision support
Prioritized alerts with confidence, imagery evidence, and escalation paths.
Validation on historical events
Back-testing against known events before you rely on it for new ones.
Reference architecture
- Imagery acquisition (satellite constellations, drones, aerial)
- Preprocessing: calibration, cloud masking, tiling
- Detection and change-analysis models
- Geospatial database and GIS integration
- Alerting, dashboards, and reporting
What you get
- A monitoring pipeline for your specific targets and territory
- Validation results on historical imagery of known events
- Alerts integrated with your operational workflow
- Scaling economics: cost per km² monitored, before you commit
Proof. GI's wildfire-detection architecture was an XPRIZE Wildfire finalist in the Space-Based Detection & Intelligence track.
Watch your territory at scale.
A 30-minute call is enough to tell you whether this is feasible on your data.