FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues

Heesung Woo; Mauricio Acuna; Byoungkoo Choi; Sang-kyun Han

doi:10.3390/f12070834

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FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues

Journal article

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FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues

Heesung Woo, Mauricio Acuna, Byoungkoo Choi and Sang-kyun Han

Forests, Vol.12(7), pp.1-14

2021

DOI: https://doi.org/10.3390/f12070834

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Abstract

real-time monitoring

precision forestry

biomass energy

logging residues

unstructured harvester data

StanForD

On an international comparison basis, Australia’s utilisation of forest residues remains very low. While there are numerous factors contributing to this low utilisation, this is greatly explained by the limited timely and accurate data on availability, quality, and location of residues generated during harvesting operations. This manuscript reports on the development and testing of a new freeware tool called FIELD (Forest Inventory Electronic Live Data), which supports the real-time monitoring and estimation of forestry harvesting residues. As inputs, FIELD uses StanForD pri files and geo-location data extracted from the harvester’s onboard computer in combination with locally developed species-specific allometric equations. Using a case study, this paper describes how FIELD works operationally and illustrates the range of support features that the tool can provide to decision-makers by producing real-time data on the availability, quality, and location of harvesting residues. In addition, it is discussed how the tool can contribute to supporting decisions during forest operations associated with the feasibility of residue utilisation in specific site conditions. Our results show that it is possible to estimate the availability of harvesting residues at geo-located sites dynamically, although further testing of the tool is required for a more accurate estimation and monitoring of harvesting residues.

Details

Title: FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues
Authors: Heesung Woo (Author) - Kangwon National University
Mauricio Acuna (Author) - University of the Sunshine Coast, Queensland, Forest Industries Research Centre
Byoungkoo Choi (Author) - Kangwon National University
Sang-kyun Han (Author) - Kangwon National University
Publication details: Forests, Vol.12(7), pp.1-14
Publisher: MDPI AG
Date published: 2021
DOI: 10.3390/f12070834
ISSN: 1999-4907
Copyright note: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/)
Organisation Unit: University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
Language: English
Record Identifier: 99549707902621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Forestry

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