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Sampling Error for Nearest Neighbour Imputation of Stand Attributes using LiDAR

by Katie Simmons | Jul 5, 2013 | Forest Inventory, LiDAR

A team of researchers at Interpine recently completed a case study where stand attributes were derived from field measurements and LiDAR data using an approach known as nearest neighbor (kNN) imputation. The study was highly successful and produced unbiased and...

Remote Sensing for Resource Assessment – FFR Industry Workshop

by David Herries | May 6, 2013 | Forest Inventory, GIS and Mapping, LiDAR

Hamish Marshall, Jonathan Dash and David Herries from Interpine recently lead a workshop series in collaboration with Future Forest Research and SCION. This covered the use of Remote Sensing for Resource Assessment, and was held in Christchurch and...

Country Calendar > Forester Thinks Beyond Radiata

by David Herries | Feb 7, 2013 | Forest Inventory, PlotSafe

Featured this week on Hyundai Country Calendar, Farm Forester Gabrielle Walton believes landowners should look beyond pine and plant a wider range of timber trees on their farms. She and her parents, Cloie and David Blackley, grow a mix of specialty timbers on...

Interpine Achieves 100% Quality Rating for LUCAS Post-89 Forest Survey

by David Herries | Nov 6, 2012 | Carbon Inventory, DataPlus Mobile, Emissions Trading Scheme, Forest Inventory, LUCAS

Interpine has completed ahead of time, the Nationwide Forest Carbon Inventory for Re-measurement of Post 1989 Forests completed over the winters of 2011,2012. A total of 202 and 193 plots were established or re-measured across the country in 2011 and 2012...

Forest Edges: Dealing with Plot Mirages in a LiDAR Inventory

by admin | Aug 16, 2012 | Forest Inventory, LiDAR

Interpine have been doing several research projects looking at the potential of using LiDAR as an auxiliary variable in regression sampling. The results are looking very promising and we have a range of production field trials underway to move the application of LiDAR...

What Accuracy / Precision is Required When Fixing Location of LiDAR Ground Controls

by admin | Jul 19, 2012 | Forest Inventory, GIS and Mapping, GPS, LiDAR

One question that has been raised in the Interpine team in our LiDAR analysis work is; “Just how important is the co-location of the LiDAR and ground survey plots ?” “and hence how much do we have to spend on a GNSS/GPS receivers for fixing LiDAR...

Collecting Tree / Stem Sectional Measurement Data in PlotSafe V1.5.2

by David Herries | Apr 24, 2012 | Forest Inventory, PlotSafe

A recent feature we have updated in PlotSafe is the representation of diameters recorded at the stem description level. This allows for increasing diameters to be easily recorded against the stem description. Previous versions of PlotSafe had an inbuilt rule not to...

How Accurate Can We Expect Routine Location of Plots Under Forest Canopy Using GPS

by David Herries | Feb 24, 2012 | Forest Inventory, GIS and Mapping, GPS, LUCAS

Recently, we looked at GPS Precision (EPE). A few questions were also raised about plot location and I thought it might also be good to look at how accurate we could expect to locate the survey point inside the forest under a range of conditions and forest canopies....

GPS Accuracy Estimate (EPE) What is It ?

by David Herries | Feb 7, 2012 | Forest Inventory, GIS and Mapping, GPS

The use of recreational grade GPS (for example Garmin 60csx or Garmin 62S) is now standard practice for the location of forest inventory plots in New Zealand and Australia. We recently reviewed a few questions regarding the accuracy and precision of these GPS units,...

Diameter Breast Height – Where Does it Start From, Ground Level Right?

by David Herries | Feb 7, 2012 | Forest Inventory

A discussion recently arose on “what should be considered as the starting point for measurement of diameter breast height, that is at what point does the stump height / tree stem start”. Seems simple doesn’t it; “high side of the tree at ground...

A Move to Variable-Form Tree / Stem Taper Equations

by admin | Feb 4, 2012 | Forest Inventory, YTGEN

History of Stem / Tree Taper Equation Development Taper equations can be used to provide predictions of inside bark diameter at any point along the tree stem and stem volume based on widely recorded tree dimensions. Equations that can accurately predict tree diameter...

Interpine Conducting a Review of Forest Mensuration Equipment from Haglof Sweden

by David Herries | Jan 20, 2012 | Forest Inventory, Log Scaling, PlotSafe

Interpine is working closely with Halgof Sweden in 2012 to review the cost effectiveness of deployment of a range of Haglof forest mensuration equipment in NZ and Australia. Based in Northern Sweden, Haglof has been developing and building professional measurement...

Guide to PlotSafe Data Collection – ETS Forest Measurement Approach – V1 Released

by David Herries | Jan 14, 2012 | Carbon Inventory, Emissions Trading Scheme, Forest Inventory, PlotSafe

A freely available publication and data collection template is now available to help forest owners and forest inventory providers with electronically capturing carbon forest inventory data for the MPI Emission Trading Scheme (ETS) Forest Measurement Approach (FMA)....

How Effective are LiDAR-based Forest Inventory Systems ?

by David Herries | Dec 9, 2011 | Forest Inventory, GIS and Mapping, LiDAR, Outside NZ

ForestTech 2011 has held in late 2011 in both Australia and New Zealand. Interpine’s Jonathan Dash and Hamish Marshall presented a discussion on Interpine’s involvement in a range of trial work relating to LiDAR analysis. A quick overview of use and role...

ETS FMA Standardised Inventory Systems for Collection and Analysis

by David Herries | Sep 14, 2011 | Carbon Inventory, Emissions Trading Scheme, Forest Inventory, PlotSafe

The New Zealand ForestTech 2011 conference was held recently in Rotorua. Interpine’s David Herries presented to the delegates a review of a standardised data collection system for electronic collection, storage and export of carbon forest inventory measurement...

NZ ETS Forest Measurement Approach (FMA) Released

by David Herries | Sep 2, 2011 | Carbon Inventory, Emissions Trading Scheme, Forest Inventory

As of 1 Sept 2011, MAF have now released the New Zealand Emission Trading Scheme Forest Measurement Approach (FMA). Participates can now register to apply for their sample locations, and begin to organise field measurement operations. Interpine has been involved in...

Comparison of Individual Tree Height Measurements: LiDAR vs Ground Measurement

by David Herries | May 18, 2011 | Forest Inventory, LiDAR

Alvaro Ramirez Carreno recently received the Mary Sutherland award for a student studying Forestry at the Annual NZ Institute of Forestry (NZIF) Conference, held in Auckland in May 2011. Alvaro started with Interpine working within our field inventory operations and...

The Impact of Plot Size on LiDAR Standing Tree Volume Relationships in Forest Inventories

by David Herries | May 17, 2011 | Forest Inventory, LiDAR

Susana Gonzalez Aracil recently won the NZ Institute of Forestry Annual Conference Student Research Poster Competition. Susana’s poster was based on some of her research work on LiDAR metrics and plot modelling. Susana is completing her internship in New Zealand...

New Pruned Height Indicators in PlotSafe V1.4

by David Herries | Mar 27, 2011 | Forest Inventory, PlotSafe

A recent minor update to PlotSafe has seen prune height features stand out more to end users in the field. This will enable them to check the prune height carefully through a quick visual glance at the screen. Through user and client feedback we recognise pruned parts...
Interpine in China, Review and Training of Forest Inventory Systems and Practices

Interpine in China, Review and Training of Forest Inventory Systems and Practices

by David Herries | Jan 25, 2011 | Forest Inventory, Outside NZ, PlotSafe, YTGEN

2010 saw some interesting projects undertaken both here in New Zealand and overseas. One of these was a trip to China, looking at inventory systems and techniques used for forest sale and purchase transactions in several different provinces. China is a very large...
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