Žilinská univerzita v Žiline

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Subject: search.filters.subject.airborne laser scanning

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    Forest mapping using airborne laser scanning data
    (University of Žilina, 2023) Kardoš, Miroslav
    The use of airborne laser scanning technology is nowadays on the rise in Slovakia. The application of this technology in forestry is not lagging behind, and therefore it is important to examine and analyse the process of improvement and application of methods and their use in practice. Airborne laser scanning technology can penetrate under dense tree canopies and vegetation. We can map the terrain and the surface at the same time with relatively high accuracy. The main objective of this work is to validate the methodology of forest dentification, comparison with the reference data of the Land Registry and identification of forests on non-forest land – so called white areas on the basis of freely available airborne laser scanning data. White areas are areas covered with forest trees that are registered in the land register for purposes other than forest functions. The survey plots were selected regarding parameters of structure of forest land, existence of white areas and non-forest land. The data were obtained from the Geodesy, Cartography and Cadastre Authority of the Slovak Republic. The forest classification method was evaluated using the criterion of minimum tree height of 5 m. By comparison with reference data, we identified 2.30 ha of white areas in the area of interest. In conclusion, we proposed solutions for their further management in Slovakia.
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    Accuracy of digital terrain model on forest roads using airborne LIDAR and UAV point clouds
    (University of Žilina, 2023) Kardoš, Miroslav; Ferenčík, Michal
    A sufficiently dense forest road network is a basic prerequisite for the professional management of forests on the basis of close to nature management. For the purposes of forest management, it is of great importance to determine the state of damage of forest roads, to plan their reconstruction and to calculate the costs of their repair. The dominant method for forest mapping is photogrammetry, which is currently combined with airborne laser scanning data. The combination of these two methods makes it possible to obtain up-to-date and representative forest and landscape information for the purpose of professional and sustainable forest management in the context of 'precision forestry', which is based on the use of detailed site-specific information for the planning, management and implementation of forestry activities. In this paper, we discuss the application of the mentioned remote sensing methods for modelling the surface of selected forest road sections and evaluating the elevation accuracy of the data used. From the point of view of the methods used, both appear to be very suitable for the purpose of detailed surface mapping, condition and damage assessment, or for the optimization and design of new roads.