Note: This page is for the forestry industry, if you’re looking for vegetation management for powerlines, railways and roads, please visit the relevant sector pages.

We have worked with the forestry industry and academia to develop the intelligent extraction of metrics from remote sensing datasets that can be used to populate a forest inventory. This enables forest managers to make informed decisions while reducing or eliminating previously labor-intensive practices, saving time and money.

  • Tree canopy penetration

    The infrared pulses emitted by a LiDAR scanner will penetrate the small gaps present in tree canopies. For each pulse emitted, up to four returned survey measurements can be recorded by the system. This means we can map the vegetation canopy, sub-canopy and the ground surface and derive a comprehensive analysis of the forest structure in 3D. This can be used to identify forest characteristics such as basal area, biomass, volume and leaf area index. This is useful for many applications, including estimating timber volumes, view shed analysis, least destructive path route planning and tree height analysis. Our surveys can identify habitats that would be favored by different species and we can use multispectral imagery to create vegetative vigor maps including Normalized Difference Vegetation Index and other routines.

    Tree canopy penetration

    Cross sections through a forest displaying the ability to map the structure of the forest and ground surface in detail.


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  • Canopy height model

    NM Group can deliver a model of tree height across the forest. This allows for more efficient forestry identifying larger trees, where traditional spot height measurements may fail to take into account the ground elevation. Satellite imagery can also be utilized to obtain polygons of vegetation extent for import into existing GIS systems. The density of crowns in an area can be calculated using the crown count values to show areas of higher density trees, useful for fire behavior modelling and the production of fire risk maps. The ability of LiDAR to detect the different canopy layers means that the sub-canopy characteristics can also be captured to aid fire forecasting. Additional benefits also include efficient tree felling, silviculture and assistance with management plans.


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  • Bare-earth Digital Terrain Models

    Bare-earth Digital Terrain Models

    We can generate a bare earth model of forested areas. This enables hydrographic pathways to be analyzed, watersheds managed and soil erosion investigated. LiDAR can be used to construct high-resolution models to identify features which offer an indication of future landslide potential.

    We can design our deliverables such that they’re compatible with your existing workflows and systems, from LAS data, DTMs, DEMs and imagery, through population of a GIS database, to utilizing NM Group’s online data service Caydence®.


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We stand ready to work with you to create a bespoke program to assist with the operational management of your forest. Please contact us to discuss your requirements.