Metsämaan ja metsäteiden ominaisuuksien seuranta eri vuodenaikoina
SoilSeason
Finland has one of the densest forest road networks in Europe, with approximately 160,000 km of forest roads (6-16.5 m/ha) built to meet the transport needs of the forest industry, forest management and others such as recreational users and emergency services. For-est management and harvesting activities are also heavily influenced by changing weather conditions outside the road network. Reliable quality information is currently not available for most of these areas and roads. The terrain trafficability in Scandinavia is highly affected by seasonal changes and conditions which can vary greatly from year to year, creating difficulties for forestry operations. Soils with a high moisture content, i.e. peatlands and fine-textured soils, high soil failure risk and are the most sensitive to soil damage. In Scandinavia, trees growing on such sites are usually harvested in winter, when the soil is frozen and covered by snow.
The aim of the project is to develop a concept to collect the necessary information regarding the load bearing capacity of selected forest sites, forest road sections and their associated characteristics. These sites and road sections represent critical bottlenecks within the transportation system. Specifically, the project seeks to identify those forest sites and sections of forest roads where the characteristics (ditch depth and quality, road width, road level in relation to the surrounding terrain) are not at a sufficient level and are therefore likely to represent bottleneck in terms of trafficability. In this project, bottlenecks will be identified using both existing and new field data. In addition, the project will utilize various airborne data including Airborne Laser Scanning (ALS) data, drone-based gamma-ray maps, the Topographic Wetness Index (TWI) layer and the Harvest Season Map Service Data. The integration of these data sources will support the development of predictive models. We expect, that trafficability of terrain soils and roads can be effectively characterized and dynamic models can be created to support decision making in forestry operations.
