Pre-harvest measurement of pine stands for sawing production planning

Uusitalo, Jori

doi:10.14214/aff.7519

Cited by 39 publications

(66 citation statements)

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“…Better and more accurate information on reserves of marked stands would result in more optimal allocation of cutting operations. With the help of additional information sawmills may reduce trimming losses, avoid unmarketable raw materials and steer the fl ow of wood to the best secondary processing destinations (Uusitalo 1995).…”

Section: Introductionmentioning

confidence: 99%

Locally adaptable non-parametric methods for estimating stand characteristics for wood procurement planning

Malinen¹

2003

Silva Fenn.

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Malinen, J. 2003. Locally adaptable non-parametric methods for estimating stand characteristics for wood procurement planning. Silva Fennica 37(1): 109-120.The purpose of this study was to examine the use of the local adaptation of the non-parametric Most Similar Neighbour (MSN) method in estimating stand characteristics for wood procurement planning purposes. Local adaptation was performed in two different ways: 1) by selecting local data from a database with the MSN method and using that data as a database in the basic k-nearest neighbour (k-nn) MSN method, 2) by selecting a combination of neighbours from the neighbourhood where the average of the predictor variables was closest to the target stand predictor variables (Locally Adaptable Neighbourhood (LAN) MSN method). The study data used comprised 209 spruce dominated stands located in central Finland and was collected with harvesters. The accuracy of the methods was analysed by estimating the tree stock characteristics and the log length/diameter distribution produced by a bucking simulation. The local k-nn MSN method was not notably better than the k-nn MSN method, although it produced less biased estimates on the edges of the input space. The LAN MSN method was found to be a more accurate method than the k-nn methods.

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Section: Introductionmentioning

confidence: 99%

Locally adaptable non-parametric methods for estimating stand characteristics for wood procurement planning

Malinen¹

2003

Silva Fenn.

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“…Each of the 15 study stands was inventoried by either the author or one of two other experienced forest professionals using the preharvest measurement method developed by Uusitalo (1997). The sampling data, typically consisting of 8 or 10 basal area measurements and roughly 30-50 sample trees measured for at least DBH, was analyzed using the EMO software package planned and programmed by Uusitalo and Kivinen (2000).…”

Section: Standsmentioning

confidence: 99%

“…The 10 virtual Norway spruce stands for Study IV were created using the Weibull function (Bailey andDell 1973), Näslund's height model (1936) (parameters a and b taken from Uusitalo (1997)) and Laasasenaho's stem curve equations for spruce (1982). Five 'stand types' were represented: (1) a stand with a normal DBH distribution and a small mean DBH; (2) a stand with a normal DBH distribution and a large mean DBH; (3) a stand with a uniform DBH distribution; (4) a stand with a right-skewed DBH distribution; and (5) a stand with a left-skewed DBH distribution.…”

Section: Standsmentioning

confidence: 99%

Design and testing of stand-specific bucking instructions for use on modern cut-to-length harvesters

Kivinen¹

2007

Diss. For.

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“…In the Nordic countries, the quality of Scots pine (Pinus sylvestris L.) trees is of particular interest, since the quality of this species and its effects on product recovery can be somewhat estimated based on external tree properties [2]. The most influential quality factors are the stem form, the heights of the lowest living (lb) and dead branches (db) and the branch size distribution (diameter, location and number of branches) (e.g., [2,3]), of which the branch size distribution has the most pronounced effect on timber quality [4]. Bucking of the tree stems is affected by the lengths of the branchless trunk section, dead branch section and living crown.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the Timber Quality of Scots Pine with Terrestrial Laser Scanning

Kankare

Joensuu

Holopainen

et al. 2014

Forests

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Preharvest information on the quality of Scots pine (Pinus sylvestris) timber is required by the forest industry in Nordic countries, due to the strong association between the technical quality and product recovery of this species in particular. The objective of this study was to assess the accuracy of estimating external quality attributes and classifying the quality of mature Scots pine trees by terrestrial laser scanning (TLS). The tree quality was estimated using a random forest approach, based on both field and TLS measurements of stem diameters, tree height and branch heights. The relative root mean squared errors of the TLS measurements for tree height, diameter, diameter at 6 m and the lowest living and OPEN ACCESSForests 2014, 5 1880 dead branch height were 7.1%, 5.9%, 8.9%, 9.6% and 42.9%, respectively. The highest errors of the branch heights were caused by the shadowing effect in the point cloud data. The quality classes were estimated accurately, based on both (field and TLS measured) tree attributes. Trees were classified with 95.0% and 83.6% accuracy into three operationally-important quality classes and with 87.1% and 76.4% accuracy into five classes using, field or TLS measurements, respectively. The obtained quality classification results were promising. The enhanced tree quality information could have a significant effect on planning forest management procedures, wood supply chains and optimizing the flow of raw materials. To fully integrate tree quality measurements in operational forestry, the methods used should be fully automated.

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Pre-harvest measurement of pine stands for sawing production planning

Cited by 39 publications

References 0 publications

Locally adaptable non-parametric methods for estimating stand characteristics for wood procurement planning

Locally adaptable non-parametric methods for estimating stand characteristics for wood procurement planning

Design and testing of stand-specific bucking instructions for use on modern cut-to-length harvesters

Estimation of the Timber Quality of Scots Pine with Terrestrial Laser Scanning

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