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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…

01

Teams manually review growing archives and still discover change too late.

02

Cloud, shadows, seasonality, sensors, and registration errors create false alarms.

03

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.

DELIVERABLE 01

Sensor, revisit, resolution, licensing, and coverage assessment

DELIVERABLE 02

Change taxonomy, ground-truth plan, and thresholds

DELIVERABLE 03

Preprocessing, detection, confidence scoring, and review workflow

DELIVERABLE 04

Alert API, dashboard, report, or GIS integration

DELIVERABLE 05

Drift, coverage-gap, and false-positive monitoring

From evidence to operational handover

  1. 01

    Define change

    Translate the operational concern into observable classes and response rules.

  2. 02

    Select evidence

    Choose sensors, history, labels, resolution, and revisit frequency.

  3. 03

    Benchmark

    Compare methods across seasons, geographies, and hard negatives.

  4. 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.