Acuna Mauricio, PhD.

Predicting and Controlling Moisture Content to Optimise Forest Biomass Logistics

volume: 33, issue: 2

Improving Forest Operations Management through Applied Research

volume: 32, issue: 2

Bunching with a Self-levelling Feller-Buncher on Steep Terrain for Efficient Yarder Extraction

volume: 32, issue: 2

Optimised Harvesting Cost for Mallee Supply Chain in Western Australia

volume: 37, issue: 1

Timber and Biomass Transport Optimization: A Review of Planning Issues, Solution Techniques and Decision Support Tools

volume: 38, issue: 2

Automated Volumetric Measurements of Truckloads through Multi-View Photogrammetry and 3D Reconstruction Software

volume: 40, issue: 1

Since wood represents an important proportion of the delivered cost, it is important to embrace
and implement correct measurement procedures and technologies that provide better wood
volume estimates of logs on trucks. Poor measurements not only impact the revenue obtained
by haulage contractors and forest companies but also might affect their contractual business
relationship. Although laser scanning has become a mature and more affordable technology in
the forestry domain, it remains expensive to adopt and implement in real-life operating
conditions. In this study, multi-view Structure from Motion (SfM) photogrammetry and
commercial 3D image processing software were tested as an innovative and alternative method
for automated volumetric measurement of truckloads. The images were collected with a small
UAV, which was flown around logging trucks transporting Eucalyptus nitens pulplogs.
Photogrammetric commercial software was used to process the images and generate 3D models
of each truckload. The levels of accuracy obtained with multi-view SfM photogrammetry and
3D reconstruction obtained in this study were comparable to those reported in previous studies
with laser scanning systems for truckloads with similar logs and species. The deviations between
the actual and predicted solid volume of logs on trucks ranged between –3.2% and 3.5%, with
an average deviation of –0.05%. In absolute terms, the average deviation was only 0.5 m3 or
1.7%. Although several aspects must be addressed for the operational implementation of SfM
photogrammetry, the results of this study demonstrate the great potential for this method to be
used as a cost-effective tool to aid in the determination of the solid volume of logs on trucks.


Web of Science Impact factor (2019): 2.500
Five-years impact factor: 2.077

Quartile: Q1 - Forestry

Subject area

Agricultural and Biological Sciences