Teams manually review growing archives and still discover change too late.
Detect Meaningful Change Without Reviewing Every Image
Operational satellite change detection for land, infrastructure, disaster, and environmental workflows with automated review tools. Book a strategy call.
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.
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
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.
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
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.
Which satellite constellations do you support?+
We support open constellations (Sentinel-2, Sentinel-1 SAR, Landsat-8/9) for frequent, cost-effective monitoring, as well as commercial high-resolution providers (PlanetScope, Maxar WorldView, Airbus Pleiades Neo, Capella Space SAR) for sub-meter inspection requirements.
How do you eliminate false positives caused by clouds and seasonal change?+
We utilize multi-temporal compositing, cloud-masking algorithms (such as Cloud-Score+ and s2cloudless), radar (SAR) coherence comparisons that penetrate clouds, and phenology-adjusted baseline windows.
Can change alerts be pushed automatically to field teams?+
Yes. Validated change polygons and confidence scores can trigger automated webhooks, Slack/Teams notifications, email alerts, or push directly into field tools like Esri Field Maps, QField, or custom mobile applications.
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