Near Infrared Spectroscopy as a Tool for In-Field Determination of Log/Biomass Quality Index in Mountain Forests

Current in-field methods for grading logs are based on visual rating scales, which are subjective, operator-dependent and time-consuming. Various wood defects such as knots, resin pockets, rot and compression wood, amongst others, affect the quality and potential usage of a log. Early detection of these defects and an adequate wood quality classification help to optimise resource use along the whole production chain. Therefore, the specific target for the development of an efficient in-field grading approach was defined within the project Integrated processing and controL systems fOr sustainable forest Production in mountain areas – SLOPE. The grading is conducted by means of automatic measurements of selected wood properties with diverse sensors, including near infrared (NIR) spectrometers. A series of studies was conducted on wooden discs using laboratory equipment and a portable NIR spectrometer. In-field measurements of standing trees and harvested logs were also performed using a portable instrument....