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Predicting the provisioning potential of forest ecosystem services using airborne laser scanning data and forest resource maps

BackgroundRemote sensing-based mapping of forest Ecosystem Service (ES) indicators has become increasingly popular. The resulting maps may enable to spatially assess the provisioning potential of ESs and prioritize the land use in subsequent decision analyses. However, the mapping is often based on readily available data, such as land cover maps and other publicly available...

Reconstructing forest canopy from the 3D triangulations of airborne laser scanning point data for the visualization and planning of forested landscapes

School of Forest Sciences, University of Eastern Finland , Yliopistokatu 7, P.O. Box 111, FI-80101 Joensuu , Finland 2 Roope Ruotsalainen 3 Jari Vauhkonen 4 Present address: Natural Resources Institute ... computer visualizations require laborious tree-wise measurements or simulators to generate these observations. Contribution of the co-authors Jari Vauhkonen designed the study, implemented all stages related

Unsupervised classification of airborne laser scanning data to locate potential wildlife habitats for forest management planning

Forestry An International Journal of Forest Research Jari Vauhkonen 0 1 Joni Imponen 0 0 Department of Forest Sciences, University of Helsinki , Latokartanonkaari 7, PO Box 27, Helsinki FI-00014

On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes

Background Tree species recognition is the main bottleneck in remote sensing based inventories aiming to produce an input for species-specific growth and yield models. We hypothesized that a stratification of the target data according to the dominant species could improve the subsequent predictions of species-specific attributes in particular in study areas strongly dominated by...

Comparative testing of single-tree detection algorithms under different types of forest

Airborne laser scanning data and corresponding field data were acquired from boreal forests in Norway and Sweden, coniferous and broadleaved forests in Germany and tropical pulpwood plantations in Brazil. Treetop positions were extracted using six different algorithms developed in Finland, Germany, Norway and Sweden, and the accuracy of tree detection and height estimation was...