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

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dc.contributor.author Vauhkonen, Jari
dc.contributor.author Ruotsalainen, Roope
dc.date.accessioned 2017-08-22T07:32:00Z
dc.date.available 2017-08-22T07:32:00Z
dc.date.issued 2017-03
dc.identifier.citation Vauhkonen , J & Ruotsalainen , R 2017 , ' Reconstructing forest canopy from the 3D triangulations of airborne laser scanning point data for the visualization and planning of forested landscapes ' , Annals of Forest Science , vol. 74 , no. 1 . https://doi.org/10.1007/s13595-016-0598-6
dc.identifier.other PURE: 82552835
dc.identifier.other PURE UUID: 148f4a70-a176-4a77-99af-a7cc08319c17
dc.identifier.other WOS: 000394370300002
dc.identifier.other Scopus: 85011838860
dc.identifier.uri http://hdl.handle.net/10138/214424
dc.description.abstract Key message We present a data-driven technique to visualize forest landscapes and simulate their future development according to alternative management scenarios. Gentle harvesting intensities were preferred for maintaining scenic values in a test of eliciting public's preferences based on the simulated landscapes. Context Visualizations of future forest landscapes according to alternative management scenarios are useful for eliciting stakeholders' preferences on the alternatives. However, conventional computer visualizations require laborious tree-wise measurements or simulators to generate these observations. Aims We describe and evaluate an alternative approach, in which the visualization is based on reconstructing forest canopy from sparse density, leaf-off airborne laser scanning data. Methods Computational geometry was employed to generate filtrations, i.e., ordered sets of simplices belonging to the three-dimensional triangulations of the point data. An appropriate degree of filtering was determined by analyzing the topological persistence of the filtrations. The topology was further utilized to simulate changes to canopy biomass, resembling harvests with varying retention levels. Relative priorities of recreational and scenic values of the harvests were estimated based on pairwise comparisons and analytic hierarchy process (AHP). Results The canopy elements were co-located with the tree stems measured in the field, and the visualizations derived from the entire landscape showed reasonably realistic, despite a low numerical correspondence with plot-level forest attributes. The potential and limitations to improve the proposed parameterization are discussed. Conclusion Although the criteria to evaluate the landscape visualization and simulation models were not conclusive, the results suggest that forest scenes may be feasibly reconstructed based on data already covering broad areas and readily available for practical applications. en
dc.format.extent 13
dc.language.iso eng
dc.relation.ispartof Annals of Forest Science
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject Spatial multicriteria decision analysis
dc.subject Public participation geographic information system(PPGIS)
dc.subject Remote sensing
dc.subject Light detection and ranging (LiDAR)
dc.subject Persistent homology
dc.subject Alpha shape
dc.subject MODELING LIDAR RETURNS
dc.subject SURFACE RECONSTRUCTION
dc.subject BOREAL FORESTS
dc.subject BETTI NUMBERS
dc.subject ALPHA-SHAPES
dc.subject STAND
dc.subject SIMULATION
dc.subject LEVEL
dc.subject TREES
dc.subject MANAGEMENT
dc.subject 4112 Forestry
dc.title Reconstructing forest canopy from the 3D triangulations of airborne laser scanning point data for the visualization and planning of forested landscapes en
dc.type Article
dc.contributor.organization Department of Forest Sciences
dc.contributor.organization Forest Ecology and Management
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1007/s13595-016-0598-6
dc.relation.issn 1286-4560
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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