LiDAR Analysis Services

data collection through light detection and ranging

Digital Modelling

Development of DTM for use in Harvesting Planning, Roading Planning and Environamental Surveys.

Creation of GIS surfaces of trees and stand attributes

3D walkthrough and visualisations


LiDAR Software Applications

Ability to carry out a large number of LiDAR analysis workflows which build on our expertise in LAStools, Quick Terrain Modeler, FUSION, Pix4D, ERSI ArcMap Extensions and Arbonaut software tools

Predictive Modelling

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

Development of relationships between LiDAR metrics and tree and stand attributes.

Out in Industry

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LiDAR meets 3D Printing – Benefits of 3D Printing for Forest Engineering

Our Remote Sensing team are constantly immersing ourselves in 3D modelling from our rich #LiDAR datasets. #3Dprintingtechnology brings this from the screen to the table. Meet our miniature model of White Island Volcano in New Zealand. Getting #LiDAR data adopted is...

NZ Forestry Sector Collaborates in Capturing 532,000ha of the Plantation Estate with LiDAR

​Interpine Innovation is currently around 50% through the LiDAR capture of 532,000ha of plantation forest in New Zealand. It’s a collaborative project that brings together forest owners, which affords efficiencies in both LiDAR capture and processing. LiDAR which...

Exploring Benefits of High Density UAV Drone Lidar

​Exploring benefits of high density #UAV #drone #lidar from @RIEGL #VUX LiDAR scanner for forestry. With many hundreds of pulses per m2, the data allows one to measure trees and their attributes. This snippet of a cross section of Pinus radiata forest scanned by...

Enhance LiDAR Forest Yield Estimates > Improvements for a clearer view of the forest

Our team continue to enhance #LiDAR based #forest #yield estimates. Moving from a 25m yield pixel resolution to a 5m dynamic analysis frame, creating higher spatial resolution of forest yield estimates through LiDAR #Imputation. While providing foresters a more...

The Importance of LiDAR Data Quality Assurance

Interpine undertakes a LiDAR quality assurance audit in every LiDAR inventory project, to ensure the data produced meets acceptable standards. An audit is initiated within 30 days of final data delivery, the main objective is to ensure the data produced is accurate. A...

UAV / Drone Applications and Case Studies for the Forest Industry

After completing trials of different uses of UAVs, Interpine has been validating case studies and is now offering its new services to the forest industry. Figure 1 UAV Solutions Working with our clients, we have set up systems that automate data capture and...

Forest Yields from LiDAR Metrics, Handling Big Data for Plot Yield Imputation

Interpine's David Herries recently presented at ForestTech 2015, providing an update of use of LiDAR ALS (Airborne LiDAR Senors) for forecasting and prediction of Forest Yields.   This provided an insight into the development of derived LiDAR metrics, improvements in...

LiDAR Canopy Height Model Resolution – Does it Matter?

Canopy Height Models (CHM) are how many of us perceive LiDAR data and outputs in GIS systems in 2D, but sometimes it is good to understand how they actually represent the underlying LiDAR point cloud data. A client recently asked about the difference in height between...

Airborne LiDAR Sensor Technology Update in New Zealand

Interpine recently presented an update in the airborne LiDAR sensor technology available for use in New Zealand. This was given to the Forest Owners Association GCFF Phenotyping technical steering group. This focused on what sensor capability has historically been...

LiDAR Derived Canopy Height Model – Practical Tips in Implementing Use

Canopy Height Model (CHM) is a difference between Digital Surface Model (DSM), being developed from first returns and Digital Terrain Model (DTM) created from the ground returns. Figure 1 - CHM image with trees between 0 and 65 meters of height. The lowest heights are...

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.

A selection of LiDAR metrics which have the largest impact on the yield estimates is done using the forest yield reference plots and thier respective merics.

Once the predictor metic relationships are established the reference plots are related (imputed) to represent a grid cell across the target impputation grid.  this introducing 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 respecttive 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 increasese the success of LiDAR unventory results

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