Title:
Alpine Forest Biomass Localization based on LiDAR Data: Results of the NEWFOR Project
Author(s):
Hollaus, M., Eysn, L., Berger, F.
Document(s):
Paper
Abstract:
In the project NEWFOR, financed by the European Territorial Cooperation “Alpine Space”, new remote sensing technologies (LiDAR & UAV) for a better mountain forest timber mobilization were investigated. In this contribution possibilities and limitations for detecting forest area and forest biomass as well as the accessibility of forest are shown and discussed. The method for forest area delineation is fully automatically, can be applied to large areas and fulfils the requirements of an operational application. Different forest definitions can be considered by this method. Therefore, an application to different countries with different forest definitions is enabled. For the biomass estimation a semi-empirical regression model was used. The derived biomass maps have a very high spatial resolution and allow comprehensive forest management for large areas and serve as input data for various forest planning activities. It could also be shown that multi-temporal LiDAR data is an excellent data source for change detection of forest parameters (i.e. forest area, biomass).Finally an approach for deriving the forest road network including the road properties width, radius and inclination is presented. The investigations are done within several study areas distributed over the entire Alpine region. Several LiDAR data sets with different properties are analysed and demonstrate their practical relevance in forestry.
Keywords:
demonstration, harvesting, land use, timber, renewable energies
Topic:
Biomass Resources
Subtopic:
Biomass potentials and biomass mobilisation
Event:
23rd European Biomass Conference and Exhibition
Session:
1AO.7.4
Pages:
28 - 33
ISBN:
978-88-89407-516
Paper DOI:
10.5071/23rdEUBCE2015-1AO.7.4
Price:
FREE
