Slope Stability & Landslide Monitoring
Exposed civil slopes, road cuttings, rail corridors, and landslip-prone embankments can deteriorate gradually — often accelerating after rainfall, flooding, or severe weather events.
Kurloo’s native 3D displacement monitoring continuously measures true horizontal and vertical movement, enabling early detection of instability and more targeted inspection regimes — particularly where borehole instrumentation is impractical or cost-prohibitive.
The Kurloo GNSS system establishes an absolute geodetic reference frame for monitoring, independent of local ground deformation that can compromise relative systems.
The Challenge of Monitoring Civil Slopes
Civil slopes and embankments are often:
- Long linear assets across varied terrain
- Highly reactive to rapid soil saturation events such as intense rainfall or snowmelt
- Difficult or unsafe to access during peak risk periods
- Too extensive for dense borehole sub-surface instrumentation
Traditional approaches to slope failure monitoring rely on visual inspection or periodic survey after soil saturation events, which may not capture changing conditions and trends between visits.
Continuous 3D monitoring strengthens early recognition of:
- Progressive creep
- Localised settlement
- Lateral displacement
- Post and varying rainfall intensity and seasonal trends
How Kurloo Is Applied
Kurloo adds a continuous displacement layer across exposed slopes and embankments:
- Crest and shoulder stations tracking settlement and lateral movement
- Mid-slope locations monitoring progressive creep
- Toe areas detecting outward displacement
- Reference points on stable ground for comparison
All measurements are tied to a consistent geodetic frame, supporting integration with survey models, geotechnical assessments, and remote sensing datasets.
Key Benefits of Slope Stability & Landslide Monitoring with Kurloo
Detect Instability Before Visible Failure
Continuous 3D monitoring captures subtle movement following rainfall, loading, or weather events, providing early warning of accelerating slope behaviour.
Enable Risk-Based Inspections
Measured displacement trends guide when and where field access is required, reducing unnecessary site visits during unsafe conditions.
Operate Reliably in Harsh Environments
GNSS-IoT monitoring continues through heavy rainfall, fog, and limited access scenarios where traditional optical or survey methods struggle.
Reduce Reliance on Intrusive Instrumentation
Surface-based deployment complements or reduces dependence on borehole instrumentation where drilling is impractical or cost-prohibitive.
Detecting Slope Failure Risk Before Visible Failure
Many slope failures develop progressively.
Measurable precursors may include:
- Increasing lateral displacement
- Vertical settlement or crest rotation
- Persistent divergence from stable reference points
- Acceleration following rainfall or saturation events
Continuous 3D monitoring enables earlier identification of these patterns, strengthening proactive risk management.
Practical Considerations & Monitoring Context
Kurloo complements geotechnical instrumentation, visual inspection programs, and remote sensing by providing absolute 3D displacement control points.
Key considerations include:
- Typical ~2 km network range for sub-5 mm precision
- Clear sky visibility at station locations
- Appropriate spacing along long linear corridors
- Safe installation access on exposed slopes
When integrated into a broader asset monitoring framework, Kurloo adds a stable geodetic reference layer to improve confidence in slope behaviour interpretation.
Case Study
Winslow Infrastructure
Learn how Kurloo helped Winslow Infrastructure deliver safer, more efficient ground monitoring on a $3B infrastructure project, reducing site visits and delivering ahead of schedule.
Strengthen Civil Slope Monitoring with Continuous 3D Insight
Design a scalable GNSS monitoring network to improve early detection of instability and support safer inspection regimes.
Talk to our team about slope and landslip monitoring requirements.