Refine
Keywords
- Case Study (1)
- Forest Science (1)
- Perception (1)
- Wood Products (1)
The overall impression of a glossy surface is an important parameter for consumer’s choice of wooden products. A new gloss parameter, called gloss impression, which calculates a reflexion structure image, was developed in order to complement the measurements made by industrial glossmeters, which are highly limited in describing the visual human perception, for example the commonly used gloss value. The objective of this study is to investigate to what extent the new measurement method of surface gloss is applicable to describe human gloss perception, in other words, to validate the new method. In order to analyse the concordance of the new methodology with human perception, 113 naïve observers had to rank the glossiness of eight series of black and white samples. The results were compared to both gloss impression and gloss value. The statistical evaluation by means of Pearson’s chi-squared tests revealed that the new method has an overall better correspondence to human perception than the gloss value. For black samples, it describes human perception significantly better than the gloss value and gives better results than those which would be achieved by guessing.
Forest owner associations act as middlemen in the cooperative marketing of timber: they are supplied with small and fluctuating quantities of timber and sell bundled amounts to industrial consumers. Knowledge of the future quantity of monthly dis-tributable timber is of particular importance for planning, but remains a subject of uncertainty. This work presents models to predict wood supply based on a simple database. Models were tested in two case-study regions, which substantially differ
Seite 88 J. List, P. Schwarzbauer, M. Braun, A. Werner, G. Langthaler, T. Sternin framework conditions for timber marketing. In each of the regions in Styria and Burgenland, different model types and subtypes were superior. It was concluded that models which determine timber supply in one forest association, are only restrictedly suitable to predict timber supply in another one.