Runway Settlement

AI-driven geospatial analytics detect millimeter-scale settlements on runways and aprons, enhancing safety and enabling predictive maintenance planning at airports.

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How does it work?

Traditional airport pavement inspections rely on manual or periodic visual assessments, which can miss early-stage deformations and require runway closures. Automated geospatial settlement detection uses high-resolution satellite and drone data to provide continuous, precise mapping of subsidence, reducing inspection time and operational disruptions.

Early Fault Detection: AI algorithms analyze multi-temporal imagery to reveal subtle ground movements that precede visible cracks and deformation. This early detection enables targeted interventions before faults compromise runway integrity.
Continuous Monitoring: Automated processing of satellite and UAV data provides regular settlement reports without manual surveys. Continuous monitoring ensures timely identification of emerging risks across all paved areas.
Precision Mapping: High-resolution geospatial analytics generate detailed subsidence maps with centimeter to millimeter accuracy. These precise maps help engineers pinpoint exact locations for repair planning.
Predictive Maintenance: Time-series analysis forecasts future settlement trends based on historical deformation patterns. Predictive insights optimize maintenance schedules and budget allocation, preventing costly emergency repairs.
Reduced Downtime: By targeting maintenance to critical zones identified through settlement data, airports can minimize runway closures and operational disruptions. Focused repairs accelerate turnaround and maintain flight schedules.
Regulatory Compliance: Detailed settlement records support compliance with aviation safety standards and audit requirements. Automated documentation simplifies reporting to regulators and stakeholders.

Frequently asked questions

Have a different question and can’t find the answer you’re looking for? Reach out to our support team by sending us an email and we’ll get back to you as soon as we can.

How does AI-based settlement detection compare to manual inspections?: AI-based detection offers higher frequency and finer spatial resolution than manual visual surveys, reducing human error. Automated analytics can uncover subsidence trends that might be overlooked in periodic inspections.
Why is satellite imagery popular for runway monitoring compared to ground sensors?: Satellite imagery covers large areas without installing physical equipment, lowering installation and maintenance costs. It also provides consistent data acquisition even in restricted or hazardous zones.
What are the limitations of using drone-based surveys for apron settlement?: Drone surveys can be affected by weather conditions and require flight planning and regulatory approvals. They may also have limited coverage per flight compared to satellite data, necessitating multiple missions for large airports.
Can this system integrate with existing airport maintenance software?: Yes, the platform supports API-based integration with most Computerized Maintenance Management Systems (CMMS) and GIS tools. Seamless data exchange enables streamlined workflows and consolidated asset management.
Are there alternatives to geospatial analytics for pavement settlement detection?: Alternatives include embedded sensors, leveling surveys, and ground-penetrating radar, each with its own deployment complexity and coverage constraints. Geospatial analytics offers non-intrusive, scalable monitoring across entire airfields.
How frequently can settlement maps be updated with this solution?: Map update frequency depends on imagery availability—daily to weekly for satellite platforms and on-demand for drone flights. The system can automate processing as soon as new data is ingested to provide timely insights.

Geospatial AI Platform

Intelligence

AI & foundation models

Deep-learning and foundation models turn raw imagery into ready-to-use insights, so you ship answers instead of training pipelines.

Experience

Conversational workflow

Ask questions in plain language and the platform responds with charts, visualizations, and next step suggestions.

Speed

GPU-accelerated cloud

Cloud-native architecture spins up on-demand GPU clusters that scale from a single scene to global archives—no manual ops, no bottlenecks.

Data

Any sensor, any format

Optical, SAR, drone, IoT, vector or raster—ingest, fuse, and analyze without conversion headaches.

Visualization

Insight you can see

Real-time 2D / 3D maps and export-ready plots make results clear for engineers, execs, and clients alike.

Boost your productivity. Experience Geospatial AI.

Turn satellite, drone, and sensor data into clear, real-time insights using powerful AI – no complex setup, just answers you can see and act on.

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