LiDAR Acquisition and Analysis Services

data collection through light detection and ranging, and better understand the world in 3D

Digital Modelling

LiDAR can be used to create extremely detailed terrain and vegetation models. 

This can be applied in planning, resource inventory erosion and biodiversity monitoring and environmental resource management. 

LiDAR assists the creation of GIS surfaces of trees and stand attributes and 3D walk through and visualisations.

LiDAR Acquisition

Our expert team arrange the collection of your LIDAR requirements, tailoring the specification to suit the needs for analysis.

This can range from inside or under canopy surveys, to small aerial surveys using our drone-based LiDAR systems, through to millions of hectares across multiple suppliers all being managed to deliver your project on time and to specification.

LiDAR Software Applications

Interpine has developed a large toolbox giving us the ability to carry out a large number of LiDAR analysis workflows.  These build on our expertise in LAStools, Quick Terrain Modeler, FUSION, Pix4D, R, Python, ERSI ArcPro and ArcMap Extensions and software tools.

UAV derived structure from motion photogrammetric point cloud analysis.

Predictive Modelling

Development of relationships between LiDAR metrics and tree and stand attributes such as volume and carbon, and building predictive models for stand characteristics.

Implementation of Regression Estimation and Regression Modelling and k-Nearest Neighbour (k-NN)approaches.

Out in Industry

Customer Feedback

Custmer Feedback

Improvements in 3D Tree Segmentation using Deep Learning

A new research paper on 3D tree segmentation approaches from our collaboration work program with the University of Tasmania and ARC Training Centre for Forest Value. Great work to the project team and a special thanks to Sean Krisanski who is working towards his PhD....

As built 3D Scanning for Industrial Inspection and Engineering with Hovermap LiDAR

A small snippet of an industrial engineering site scanned with our mobile laser scanner (MLS) using the Emesent Hovermap SLAM LiDAR backpack. While the unit can also be mounted to a drone, here it is being used in backpack mode allowing capture of complex structures...

Under Forest Canopy 3D LiDAR Scanning Capabilities of Hovermap Mobile LiDAR Scanner

Take a walk through the #Redwood #Forest Rotorua, New Zealand, in #3D using our unique #3DForest #LiDAR using the Emesent #Hovermap. Discover the "web of sails amongst the #trees" Find out more about how we captured this in less than a few minutes at...

Hovermap Mobile LiDAR Laser Scanning for Engineering Projects

Another neat example of mobile #LiDAR mapping survey with the Emesent Hovermap #MLS showing the ease of data collection for a range of projects. This has been collected at night when the traffic is not present, simply with a 12-minute walk around the survey area with...

Drone based LiDAR services extended with the DJI Zenmuse L1 Livox LiDAR and RGB Solution

2021 is set to be a leap forward in drone-based UAV LiDAR here at Interpine.  To compliment our two Emesent Hovermap LiDAR units we have also recently purchased the DJI Zenmuse L1 LiDAR + RGB solution for the DJI Matrice 300 RTK.  Simultaneous collection of...

Innovations in Forest Inventory > LiDAR Data Collection From Under the Canopy

Innovations in Remote Sensing & Data Capture Technologies - Application in the Forest  

DJI Matrice 300 with Emesent Hovermap for Drone Based LiDAR Survey

Our latest drone, the DJI Matrice 300 RTK shown here with the Emesent Hovermap SLAM based LiDAR.  Hovermap’s smooth integration with the latest DJI Matrice 300 RTK allows our team to extend the capabilities of the drone significantly, providing robust collision...

Rich 3D Forest Inventory Data on Show at ForestTECH 2020 in Rotorua

Sneak peeks at some of the rich #3D #forestinventory data being shown at #ForestTECH2020, collected by our Emesent #Hovermap SLAM LiDAR units and processed into #forest #yield using Interpine's customised #deeplearning algorithms. Over 300 people attending the...

LiDAR Scanning Forests at Younger Age for Tree Selection Trials

Studying #trees early in their #forest rotation for selection is key to improving our #forests of the future. #3D #measurement for #stem form in young #trees using #SLAM #LiDAR generating a #virtual #3DForest duplicate. This is the same tree which has been #digitally...

Colourised LiDAR View of our Rotorua Head Office From Hovermap Backpack

#3D #pointcloud colourised view of our Rotorua Head Office as we put to work the #Hovermap #LiDAR from Emesent.  Our team were also out scanning a range of permanent sample plots, some of which were close to 50m tall #radiata pine. These were scanned in 3D from a walk...

Frequently Asked Questions

What is Plot Imputation and how do you generate Forest Yield Tables
Interpine uses YTGEN forest yield calculation combined with LiDAR data to produce forest attributes.  LiDAR metrics are computed across the area of interest (target imputation grid) and for all the reference plots.  These reference plots being a ground  measured plot where known assessments of volume and grade mix have been conducted, and a yield table is developed in software such as YTGEN.

Once the predictor metric relationships are established the reference plots are related (imputed) to represent a grid cell across the target imputation grid.  This introduces the concept of nearest neighbours (kNN).  In the simplest sense this could be thought of as 1 plot is used to represent each grid cell in the network, that being often referred to k=1 in the terminology of kNN.  However we can use more than 1 plot to represent a grid cell (k=2,3,4 etc) as a simple average or provide a respective weighting of each of these plots for each grid cell when k>1.

Then it’s just maths to simply select any “Area of Interest” (typically a stand, harvest area or might be an entire forest!) and the respective target imputation grid cells that fall in the area, to get a final yield table.

Why is LiDAR Data Quality Assurance is Important
Interpine undertakes a LiDAR quality assurance audit in every LiDAR inventory project.  The main objective is to ensure the data produced is accurate and meets acceptable standards.  A workflow process is applied to identify issues in the dataset, if these issues are not corrected on time it could create downstream problems.

To increase the success of any LiDAR project we must be sure any anomalies are not present in the dataset.  Producing a good quality control report increases the success of LiDAR inventory results.

If we didn't answer all of your questions, feel free to drop us a line anytime.