Teams manually review growing archives and still discover change too late.
Satellite change-detection services
Detect Meaningful Change Without Reviewing Every Image
Operational satellite change detection for land, infrastructure, agriculture, environment, and disaster workflows—with evidence and human review built in.
// The buying trigger
You probably need this when…
Cloud, shadows, seasonality, sensors, and registration errors create false alarms.
A model detects difference but cannot produce an auditable operational alert.
// Concrete scope
What the engagement delivers
Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.
Sensor, revisit, resolution, licensing, and coverage assessment
Change taxonomy, ground-truth plan, and thresholds
Preprocessing, detection, confidence scoring, and review workflow
Alert API, dashboard, report, or GIS integration
Drift, coverage-gap, and false-positive monitoring
// Delivery process
From evidence to operational handover
- 01
Define change
Translate the operational concern into observable classes and response rules.
- 02
Select evidence
Choose sensors, history, labels, resolution, and revisit frequency.
- 03
Benchmark
Compare methods across seasons, geographies, and hard negatives.
- 04
Operationalize
Route scored detections into review, escalation, and audit.
// Proof before promises
How value is verified
No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.
- ✓Precision, recall, false alarms per area, and time-to-detection by class
- ✓Back-test across seasons, sensors, geographies, and known events
- ✓Review queue with source imagery, confidence, provenance, and decision history
// Buyer questions
Frequently asked questions
Which satellite sources can you use?+
Public and commercial sources, including Sentinel, Landsat, Planet, and tasking providers where licensing permits.
Can it work through cloud?+
Sometimes. Radar, multi-date compositing, and confidence gating can help.
How much history is needed?+
It depends on seasonality and rarity; discovery estimates the defensible minimum.
// Related expertise
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Bring us the problem, not a perfect brief.
Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.
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