GIS-based decision support system for wood logistics

Qiu, Rongzu; Mikkonen, Esko

doi:10.1007/s11632-004-0027-z

Cited by 3 publications

(6 citation statements)

References 4 publications

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“…Some researchers integrated linear programming with GIS and used general algorithm languages such as C++ or Visual Basic to provide better program processing speed and flexibility. The results were able to realize various functions, including obtaining the vehicle's positional information, tracing the timber source, and finding the least cost path [87,89,90]. Figure 14 illustrates the thematic methodology for material transport.…”

Section: Application In the Transport Of Forest Materialsmentioning

confidence: 99%

“…This method increased the profitability of timber transportation in Sweden. Furthermore, with the development of timber transportation plans, a substantial amount of non-spatial and spatial data, data processing tools, and decision models have been utilized to address challenging issues in the forest [87]. Some researchers planned the transportation method of forest products according to ground slope, soil type, and equipment with the AHP method [88].…”

Section: Application In the Transport Of Forest Materialsmentioning

confidence: 99%

“…Normally, traditional forest harvesting focuses on economic benefits, but ignores environmental protection. Therefore, integrating harvesting methods with ecological benefits has become an essential consideration in harvesting planning [91,92]. Since harvesting decisions are primarily spatial, GIS is an indispensable tool which can provide spatial and non-spatial data.…”

Section: Application In Harvesting Operationsmentioning

confidence: 99%

“…Qiu et al [91] applied GIS MapInfo, DBMS, and mathematical planning methods to create a harvesting decision support system with MapBasic language, which improved the accuracy of decision-making. In the forest management inventory, the survey content is only up to the subcompartment, not including individual trees.…”

Section: Application In Harvesting Operationsmentioning

confidence: 99%

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Application of Geoinformatics in Forest Planning and Management

Xing,

Sun,

Huang

et al. 2024

Forests

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Rational forest planning and management is the key to a forest’s systematic construction. It is beneficial to many aspects, such as the cultivation and preservation of a forest’s ecological resources, sustainability, forest fire prevention, and others. In recent years, some effective strategies and tactics for the planning and management of forests’ systematic construction have been established. Among them, the application of geoinformatics in forest planning and management (AGFPM) is one of the most effective and promising strategies. Therefore, it is necessary to conduct a comprehensive summary and analysis of the current situation. AGFPM has effectively applied in logging operations, forest road development, forest material transport, and forest fire prevention. An analysis of the research results in the past 20 years showed that decision support tools are the most used solutions to problems related to forest planning and management, especially the analytic hierarchy process (AHP). Light detection and ranging (LiDAR) is the second most popular method. With the development of geoinformatics, it will play an increasingly important role in forest planning and management in the future.

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Section: Application In the Transport Of Forest Materialsmentioning

confidence: 99%

Section: Application In the Transport Of Forest Materialsmentioning

confidence: 99%

Section: Application In Harvesting Operationsmentioning

confidence: 99%

Section: Application In Harvesting Operationsmentioning

confidence: 99%

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Application of Geoinformatics in Forest Planning and Management

Xing,

Sun,

Huang

et al. 2024

Forests

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“…For decades, special home-made GIS-based planning systems have been developed by the forest industry and have supported managers in making decisions on wood harvesting operations [9][10][11][12][13][14]. More recently, public open GIS data sources have been developed by researchers, and these can be integrated into planning systems.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Image, LiDAR and Gamma-Ray Information to Improve Environmental Sustainability of Cut-to-Length Wood Harvesting Operations in Peatlands: A Management Systems Perspective

Palander

Kärhä

2021

IJGI

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Forest industry corporations use quality management systems in their wood procurement operations. Spatial quality data are used to improve the quality of wood harvesting and to achieve environmental sustainability. Some studies have proposed new management systems based on LiDAR. The main aim of this study was to investigate how efficiently planning systems can select areas for wood harvesting a priori with respect to avoiding harvesting damage caused by forest machinery. A literature review revealed the possibility of using GISs, and case studies showed the criteria required to predict the required quality levels. Terrestrial LiDAR can be utilized in authorities’ quality control systems, but it is inefficient for preplanning without terrestrial gamma-ray data collection. Airborne LiDAR and gamma-ray information about forest soils can only be used for planning larger regions at the forest level because the information includes too much uncertainty to allow it to be used for planning in small-sized areas before wood harvesting operations involving wood procurement. In addition, airborne LiDAR is not accurate enough, even at the forest level, for the planning of wood procurement systems because wood harvesting remains challenging without field measurements. Therefore, there is a need for the use of manual ground-penetrating radar for determining the peat layer thickness and the depth to the groundwater table.

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The Harvest Operability Index (HOI): A Decision Support Tool for Mechanized Timber Harvesting in Mountainous Terrain

Phelps

Hiesl

Hagan

et al. 2021

Forests

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Forest operations have become increasingly reliant on mechanized harvesting equipment due to their increased production capacities in competitive markets. However, operating heavy machinery in mountainous terrain poses numerous operational and accessibility challenges from steep slopes, erosion risk, and poor road access. Geographic Information Systems (GIS) have effectively been used in various studies to identify areas in mountainous landscapes that pose no or reduced constraints for harvesting equipment operation. This study introduces the Harvest Operability Index (HOI), which rates a landscape for wheel-based equipment suitability (i.e., operability) and assesses its application in 13,118 ha of the Jocassee Gorges Natural Resource Area, situated on the Southern Blue Ridge Escarpment in Northwestern South Carolina, USA. The HOI incorporated slope, distance from roads, cost distance from major highways, primary Streamside Management Zones (SMZ), stand age, and soil suitability ratings for harvesting equipment operation. Upon reclassification to a 5-tier suitability scale, the HOI revealed 60% (7824 ha) of the case study area was in a Slope Exclusion Zone, or land area inoperable for wheel-based equipment due to steep slopes. Values of Very Poor and Poor Operability occupied less than 1% (213 ha) of land area whereas Moderate Operability values were 9% of the land area (1257 ha). Values of Good Operability occupied 18% (2442 ha) of the study area and values of Very Good Operability occupied 10% (1381 ha). These results reflected the challenges of mechanized harvesting in the study area due to a preponderance of steep slopes and poorly suited soil. Our model delineated areas of high equipment operability in two locations in the study area, despite a lack of recent logging activity around them. Results of the HOI analysis offer an accessible way for forest managers to better prioritize logging operations in areas that are highly operable and therefore more likely to possess lower overall harvesting costs, for wheel-based harvesting systems. The HOI can also be used as an asset for other forest management priorities, such as identifying highly operable areas that can use timber harvesting for fuel reduction and ecological restoration in fire-dependent forests. This model can be applied to various other regions where mountainous terrain poses a limitation to wheel-based harvesting equipment operation- and where wheel-based equipment is essential to advance the pace and scale of harvesting for ecological restoration.

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GIS-based decision support system for wood logistics

Cited by 3 publications

References 4 publications

Application of Geoinformatics in Forest Planning and Management

Application of Geoinformatics in Forest Planning and Management

Utilization of Image, LiDAR and Gamma-Ray Information to Improve Environmental Sustainability of Cut-to-Length Wood Harvesting Operations in Peatlands: A Management Systems Perspective

The Harvest Operability Index (HOI): A Decision Support Tool for Mechanized Timber Harvesting in Mountainous Terrain

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