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

AI within the forest sector: Summer Internship – Nov 2024 to Feb 2025

Integrating spatial intelligence in real time using machine learning / AI within the forest sector Summer Internship Position - 2024-2025   10-week internship available to start in November 2024 The Company:   Interpine is committed to “shaping the forestry of...

Drone LiDAR for Post Storm Event Recovery and Future Preparedness (Snow Avalanches in Mt Cook)

In July 2022 a winter storm dropped 550 mm of precipitation on the Southern Alps of New Zealand. This initiated large snow avalanches and a mass movement cycle of debris flows, and erosion, which was the largest observed in decades. Our drone lidar surveys were used...

Case Study Results from use of Emesent Hovermap for Forest Inventory

Our Remote Sensing Consultant, Sam West recently spoke alongside Jan Rombouts from One-Forty-One Plantations at ForestTech 2022 conference in February. Catch up on how Ultra-Dense LiDAR Point Clouds collected using Mobile LiDAR systems like the Emesent Hovermap are...

‘Technology on Steroids’ Remote Sensing, Forest Data Capture & Inventory Management – Past, Present and Future

2022 ForestTech Conference, Rotorua, New Zealand.  Key Note Address | 'Technology on Steroids': Remote Sensing, Forest Data Capture & Inventory Management – Past, Present and Future.David Herries, Director, Interpine ForestTECH Events has, since 2007, been...

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

2021 continues 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...

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...

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

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

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 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.