Applications

A common Earth-intelligence architecture for heterogeneous mission domains.

Application-specific analytical models convert synchronous multi-modal observations into operational indicators, alerts, evidence packages, and decision-support products.

Dual-use architecture

Observation is shared; interpretation is application-specific.

The underlying physics remains consistent across domains. SAR provides structural and all-weather information, optical imagery provides contextual classification, thermal sensing indicates energetic activity, and RF data contributes declared identity and movement metadata.

  • Configurable areas of interest, observation cadences, and event thresholds.
  • Domain-specific detectors, classification models, and risk indices.
  • Secure outputs for defence, government, humanitarian, scientific, and enterprise workflows.
R4 defence and civil application domains
Application portfolio

Potential mission applications

The following domains represent candidate deployment pathways subject to mission requirements, data availability, validation, regulatory constraints, and customer-specific integration.

Defence · Maritime

Maritime domain awareness

Detection and corroboration of non-cooperative vessels, anomalous routes, rendezvous activity, port utilisation, and maritime-infrastructure risk.

SAROpticalThermalAIS
Defence

Border surveillance

Change analysis across corridors, logistics routes, temporary structures, mobility patterns, and terrain-dependent access points.

SAROpticalTIR
Defence · Infrastructure

Strategic asset monitoring

Persistent observation of airfields, ports, energy facilities, communication infrastructure, and other designated strategic assets.

Change detectionThermal activity
Civil · Environment

Disaster response

Rapid mapping of flood extent, fire progression, structural damage, access disruption, and isolated population or asset zones.

FloodWildfireCycloneEarthquake
Civil · Environment

Agriculture and water

Crop-condition analysis, irrigation assessment, moisture proxies, heat stress, water-body dynamics, and agricultural risk indicators.

Optical indicesSAR moistureTIR stress
Civil · Environment

Climate and ecosystem monitoring

Deforestation, wetland change, coastal erosion, land-use transition, surface-temperature anomalies, and environmental compliance.

Multi-temporalChangeThermal
Civil · Infrastructure

Critical infrastructure

Condition and activity monitoring for transport, energy, industrial, water, telecommunications, and urban systems.

Asset inventoryChangeHeat anomaly
Civil · Maritime

Maritime safety and compliance

Traffic-density assessment, incident localisation, oil-spill indications, illegal fishing evidence, and search-area prioritisation.

AIS correlationSAROptical
Civil · Commercial

Insurance and risk analytics

Exposure assessment, event verification, damage estimation, asset monitoring, and evidence generation for underwriting or claims workflows.

Risk scoreEvidence layerAPI
Intelligence delivery

Outputs structured for operational decisions.

Observation modeSAR · Optical · TIR · RF
Analytical stateMulti-modal correlation active
Potential outputsAlert · Vector layer · Change map · Evidence report
IntegrationC2 · GIS · API · Secure dashboard
Decision objectiveReduce uncertainty and response latency

Event alerts

Threshold- or model-generated notifications with location, confidence, and supporting evidence.

Geospatial layers

Raster, vector, and temporal layers compatible with institutional GIS environments.

Analytical dashboards

Area-of-interest status, detected changes, risk indicators, and historical context.

Secure APIs

Machine-to-machine delivery for enterprise, command, and automated response systems.

Application definition

Translate an operational problem into measurable observation and analytical requirements.