Methods of remote measurement and modeling of stem profiles to evatuate their assortment and quality structure

Abstract

The usage of programming software Field-Map to establish commodity and assortment-quality structure on cutting areas without logging model trees is discussed. Mathematical model forming the trunk is calculated on the base of distance measuring diameter. Building generatrix of stem trunk conducted using non-linear regression equation by assessing the unknown parameters (i, p, q) model. Based on the actual shape of the stem, this feature describes the lower, middle and upper parts of the longitudinal profile of a tree based on the differential equation. Alignment was performed using the Riemer-Gadow-Sloboda, where the parameters i, p, q calculated by the formulas. The value of assortment volumes calculated using tables of State Standard GOST 2708-75, the formula of finite cross section and software Field-Map Stem Analyst. The difference observed in the calculation of the assortment volumes is due to the peculiarities of form at the bottom part of the stem. In bottom part of the stem the volume set using tables of State Standard GOST 2708-75 is usually underestimate, while using the formula of finite cross section gives somewhat overestimate results. In the middle part of the stem the deviation in assortment volumes is small. Application of programming software Field-Map is feasible and promising for the assessment of forest resources in oak stands, since it allows to define assortment-quality stand structure without cutting of model trees and perform calculations considering different scenarios of assortment for consumer demands for wood. In further research it is necessary to determine the features of assortment-quality structure of oak stands taking into account possible hidden defects of stems. Calculations of volume assortments using the tables of State Standard GOST 2708-75, the formula of finite cross section, and generatrix of stem showed that the total difference in assortments’ volume determined by different methods is about 1%.

Authors and Affiliations

O. Slysh, V. Solodovnik, M. Buksha

Keywords

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  • EP ID EP180764
  • DOI -
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How To Cite

O. Slysh, V. Solodovnik, M. Buksha (2014). Methods of remote measurement and modeling of stem profiles to evatuate their assortment and quality structure. Лісівництво і агролісомеліорація, 124(), 42-46. https://europub.co.uk/articles/-A-180764