Geospatial Intelligence for Infrastructure Monitoring: Preventing Failures Before They Happen
Aging infrastructure, climate stress, and rapid urban expansion are increasing the risk of critical failures. Geospatial intelligence — using synthetic aperture radar (SAR), optical imagery, and machine learning — provides scalable, non-invasive monitoring of roads, bridges, pipelines, and rail networks.
Structural Health Monitoring with SAR and Optical Data
- Detect millimeter-level deformation in bridges, tunnels, and buildings over time.
- Identify subsidence, warping, or vibration-induced stress.
- Guide proactive maintenance and reduce failure risks.
Road and Rail Corridor Surveillance
- Monitor surface wear, erosion, vegetation encroachment, and waterlogging.
- Assess seasonal degradation and storm impact across entire networks.
- Improve routing efficiency and reduce unplanned closures.
Pipeline Integrity and Leak Detection
- Use multispectral and thermal imaging to detect pipeline anomalies, surface leaks, or vegetation dieback.
- Identify potential intrusion zones or construction encroachments.
- Respond to incidents faster, minimizing environmental impact and repair costs.
Construction Progress Tracking and Compliance
- Monitor active construction sites from orbit.
- Compare actual progress to engineering schedules using time-lapse EO analysis.
- Validate permits and reduce need for frequent on-site inspections.
How LYRASENSE Powers Infrastructure Oversight
- AI-driven asset monitoring models for change detection and risk scoring.
- Natural language assistant: “Which bridges shifted in the past 90 days?”
- Dashboard views for civil engineers, municipalities, and insurers.
- Data integration with BIM systems, IoT sensors, and digital twins.
Building Resilience Through Satellite-Powered Oversight
With LYRASENSE, stakeholders can scale infrastructure intelligence across regions — reducing emergency repair costs, extending asset life, and improving public safety.
🛠️ Proactively manage infrastructure risk with LYRASENSE.
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📧 info@lyrasense.com