LiDAR Analysis Services

data collection through light detection and ranging

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 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, ERSI ArcMap Extensions and Arbonaut 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

Demostration of Virtual Reality Forest Inventory at ForestTech 2018

Interpine team recently presented and demonstrated at ForestTech 2018 the use of virtual reality for in forest inventory.   While the system can use terrestrial LiDAR the focus was on using utra dense point clouds from airborne sensors flying above the tree canopy....

Meet the Team at ForestTech 2018

Interpine will again be along at ForestTech 2018, being held in Rotorua and Melbourne this November.   Come along and hear about our latest advances in Virtual Reality, LiDAR and Drone applications across the forest industry.

Virtual reality experiments in Rotorua could replace forestry field work

The forestry industry has been experimenting with virtual reality in Rotorua this week to develop new ways of measuring tree growth.  The University of Tasmania and Interpine are carrying out the research, which is partially funded by Forest and Wood Products...

Collaborative Forestry Remote Sensing Data Acquisition Campaign

Interpine, together with the researchers involved in a current FWPA funded remote sensing project have published a video of the recent data acquisition campaign at the Carabost State Forest P. radiata plantation in southern NSW. Teams from NSW DPI, University of...

Wood Chip Pile Volumes – Making a Difference with Drone Technology

See, measure, and monitor forest wood chip piles as they grown & shrink with Drones / UAV and photogrammetry technology. Remember making a difference with technology is more important than the technology itself. There are many ground breaking technological parts...

MobileTECH 2018

Our GM David Herries gave a practitioners view as a key note speaker this week at the primary sectors #MobileTECH2018 conference in Rotorua, NZ. Reviewing how digital technology impacts on the forestry sector and how the industry is moving forward and making progress...

UAV for Seedling Counts

Millions of #tree #nursery seedlings counted using our  #Drone / #UAV based #inventory. #remotesensing technology helping to keep an eye on the New Zealand vision of "one billion trees target in the next 10...

A Visit with the Minister of Forestry

New Zealand Minister of Forestry,Hon Shane Jones recently visited our Remote Sensing and #UAV #Drone team in #Rotorua. Sarah Pitcher-Campbell and Chris Scoggins demonstrated how innovative our industry is in the use of remote sensing technology...

ForestTechX – Canada 2018

Great day in #Vancouver #Canada with our remote sensing team leading a #workshop as part of #ForesttechX conference with rapidlasso. Providing insights into using #Lidar for enhanced #forest #inventory with #LAStoolsand Interpine’s forest yield imputation area based...

LiDAR Research in New South Wales

Our team capturing #LiDAR data using the #Riegl #VUX-1LR over radiata pine #forest in New South Wales forest last week. This is part of our remote sensing programs being conducted both here in New Zealand and Australia, with our research and airborne partners. Watch...

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.