Service

Hazard Tree & Health Analytics

Advanced multi-spectral and proximity analysis evaluating tree health, canopy structure, and strike-in potential to mitigate off-right-of-way liabilities.

NM Group combines high-density LiDAR with advanced multi-spectral canopy attribution and geospatial analytics. We help utilities transition from simple clearance checking to deep individual tree risk profiling, pinpointing dead, dying, or structurally unstable trees before they impact lines.

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Vegetation Intelligence

Understand your vegetation assets. Unlock greater value from your data.

Effective grid resilience requires looking beyond the statutory right-of-way boundary. A significant portion of vegetation-related outages are caused by “hazard trees”—unstable, diseased, or leaning trees located outside the standard trim zone. By converting raw remote sensing data into a fully attribute-rich digital tree inventory, we provide utility foresters with the operational intelligence needed to identify species-specific risks, calculate tree lean, account for ground slopes, and execute proactive, targeted mitigation plans

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FAQs

A tree inventory is a structured dataset containing information about vegetation assets, including location, canopy size, proximity to infrastructure, and other individual characteristics derived from LiDAR and survey data.

Canopy attribution identifies and classifies individual vegetation objects, enabling utilities to analyse trees and vegetation at an asset level rather than as a continuous vegetation layer.

Yes. Vegetation inventory datasets can incorporate additional geospatial analytics, including canopy characteristics and vegetation condition indicators derived from multi-spectral survey and imagery datasets.

Inventory datasets can be delivered through GIS-compatible outputs, analytical reports, and interactive Caydence® map interfaces for intuitive visual workflows.

From Survey Data to Clearance Intelligence

Advanced analytics convert LiDAR survey data into detailed vegetation inventories that provide greater insight into vegetation conditions and network environments.

  • Individual Canopy Mapping

    Develop network-wide maps of individual vegetation distribution, density, and asset-level attributes across transmission and distribution corridors.

  • Multi-Spectral Health Analytics

    Analyse vegetation characteristics, canopy condition, and network-wide vegetation patterns using advanced multi-spectral and geospatial analytics.

  • 3D Proximity & Growth Intelligence

    Support a comprehensive understanding of individual vegetation growth trends, proximity risks, and spatial maintenance requirements.

Vegetation Analytics & Network Intelligence

Supporting informed vegetation management strategies

Understanding vegetation conditions requires more than identifying individual trees.

NM Group combines vegetation inventory, canopy attribution and advanced analytics to help utilities understand vegetation patterns, support planning activities and develop more informed vegetation management programmes.

  • Eliminate Off-ROW Blind Spots

    Stop guessing about liabilities outside your statutory boundary. Proactively identify and resolve danger trees before they trigger catastrophic line strikes.

  • Data-Driven Budget Planning

    Support inspection, maintenance, and vegetation management programmes using objective, data-validated records of vegetation density, distribution, and characteristics.

  • Protect SAIDI & SAIFI Scores

    Minimise high-impact, weather-triggered tree failures by systematically removing structurally compromised or leaning timber along critical transmission and distribution corridors.

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Ready to transform your corridor data into actionable, individual-asset intelligence?

Our specialists support utility forestry teams with precise structural analytics and multispectral health insights to isolate hazard trees and ensure long-term network resilience.

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