FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues
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 dur...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Forests |
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| Online Access: | https://www.mdpi.com/1999-4907/12/7/834 |
| _version_ | 1797528868899258368 |
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| author | Heesung Woo Mauricio Acuna Byoungkoo Choi Sang-kyun Han |
| author_facet | Heesung Woo Mauricio Acuna Byoungkoo Choi Sang-kyun Han |
| author_sort | Heesung Woo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:04:28Z |
| format | Article |
| id | doaj.art-4d505467574e4642a0876e334c579902 |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-10T10:04:28Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-4d505467574e4642a0876e334c5799022023-11-22T01:38:04ZengMDPI AGForests1999-49072021-06-0112783410.3390/f12070834FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting ResiduesHeesung Woo0Mauricio Acuna1Byoungkoo Choi2Sang-kyun Han3Human Resources Development Center for Covergence of Advanced Technologies in Forest Industry, Kangwon National University, Chuncheon 24341, KoreaForest Industries Research Centre, University of the Sunshine Coast, Locked Bag 4, Maroochydore DC, Queensland 4558, AustraliaDivision of Forest Sciences, Kangwon National University, Chuncheon 24341, KoreaDivision of Forest Sciences, Kangwon National University, Chuncheon 24341, KoreaOn 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.https://www.mdpi.com/1999-4907/12/7/834real-time monitoringprecision forestrybiomass energylogging residuesunstructured harvester dataStanForD |
| spellingShingle | Heesung Woo Mauricio Acuna Byoungkoo Choi Sang-kyun Han FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues Forests real-time monitoring precision forestry biomass energy logging residues unstructured harvester data StanForD |
| title | FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues |
| title_full | FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues |
| title_fullStr | FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues |
| title_full_unstemmed | FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues |
| title_short | FIELD: A Software Tool That Integrates Harvester Data and Allometric Equations for a Dynamic Estimation of Forest Harvesting Residues |
| title_sort | field a software tool that integrates harvester data and allometric equations for a dynamic estimation of forest harvesting residues |
| topic | real-time monitoring precision forestry biomass energy logging residues unstructured harvester data StanForD |
| url | https://www.mdpi.com/1999-4907/12/7/834 |
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