Can satellites actually count individual containers in a busy yard?

Yes, at sub-0.5 m resolution — commercially available from operators such as ICEYE and Capella — individual 20- and 40-foot containers are distinguishable in both optical and SAR imagery. Machine-learning object-detection models routinely achieve container-count accuracy above 90% under clear-sky or all-weather SAR conditions. Occlusion from cranes and stacked rows above four high reduces accuracy in the densest blocks.

Why should a government own the satellites rather than subscribe to Planet or Capella?

Commercial tasking contracts can be suspended, reprioritised, or priced out of reach during a crisis — exactly when port intelligence matters most. A sovereign constellation guarantees tasking priority, keeps raw imagery under national jurisdiction, and allows the government to share data freely with customs, coast guard, and logistics agencies without licensing restrictions. The capital cost is recovered through avoided dwell-time losses and reduced demurrage.

What orbit and satellite class makes sense for port monitoring?

A LEO constellation of 6–12 microsatellites (50–150 kg) in a 450–550 km sun-synchronous orbit provides the best trade-off between ground resolution, revisit frequency, and launch cost. Sun-synchronous passes deliver consistent solar illumination for optical sensors; SAR payloads on the same bus operate day-night and through cloud. Nanosatellites below 10 kg generally cannot carry the aperture needed for sub-1 m resolution.

How does AIS data complement satellite imagery for yard monitoring?

AIS identifies which vessel is berthed or at anchor, its cargo manifest linkage, and its ETA/ETD — context that a pixel-counting algorithm cannot derive from imagery alone. Fusing S-AIS (space-based AIS, collected by the same LEO satellites) with yard imagery lets analysts trace a container's journey from ship discharge to gate-out. Spire and Unseenlabs provide S-AIS as a payload-of-opportunity on small satellites, making combined missions cost-efficient.

What is the realistic end-to-end latency from satellite capture to actionable alert?

With direct downlink to a national ground station and automated cloud processing, latency from image capture to georeferenced container-count delta is typically 15–45 minutes. Adding an AI triage layer for anomaly flagging (e.g. unauthorised container movement at night) adds 2–5 minutes of compute time. This is adequate for port scheduling and customs prioritisation, though not for real-time crane control.

Does this work for inland container depots as well as sea ports?

Yes. The same VHR optical and SAR techniques apply to any paved yard with stacked ISO containers, including inland container depots (ICDs) and dry ports. The World Bank's 2023 port-reform guidance explicitly recommends satellite monitoring for dry-port capacity planning in landlocked developing countries.

How does weather affect SAR versus optical for this use case?

Synthetic Aperture Radar penetrates cloud, rain, and darkness, making it the operationally reliable choice for ports in tropical or high-latitude regions. The trade-off is that SAR imagery requires more specialist interpretation: metal containers produce strong returns but shadow effects from adjacent stacks can suppress detections. Fusing SAR and optical when both are available improves detection rates significantly.

What cybersecurity obligations apply to a government satellite ground system feeding port data?

IMO MSC.428(98) requires flag states and port operators to address cyber risk in their Safety Management Systems by 2021 (now in force). A national ground-station-to-port-authority data link must meet these obligations plus any national critical-infrastructure protection rules. End-to-end encryption, authenticated command uplinks (per CCSDS 352.0-B-2), and segregated operational networks are the baseline architecture.

4.3.2Live

Container Yard Monitoring

Rows of stacked shipping containers at a busy port terminal with workers and trucks below — Ground-level foreman oversight in a container terminal gains precision and efficiency when paired with satellite-enabled cargo tracking systems.

Satellite Eyes on Container Yard Operations

1
SAR Satellite
Captures yard imagery through cloud cover
2
Ground Station
Raw radar data downlinked every pass
3
AI Analytics Platform
Detects container positions, counts, movement
4
Port Operations Centre
Live dashboard guides yard allocation decisions

SAR satellite imagery is processed by AI to give port operators real-time container tracking and yard occupancy intelligence.

Page in the build queue

This application has its place in the atlas. The full page — short and long descriptions, what-matters bullets, sovereignty rationale, and the eight-field architecture block — is being written next.

Maturity reading: Operational systems exist with paying customers. Phase 1 built §4.1 (Maritime Intelligence) end-to-end as the depth-and-format reference. Section 4 is the next section to graduate from scaffold to full content; the rest follow on the roadmap.

Related applications

4.3.1 · Previous

Port Congestion Analytics

All in smart ports

4.3.3 · Next

Port Approach Optimization

Bring this into your sovereign programme.

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