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Case study

Tree-stem volume estimation in forestry

Identification of position and height of individual species in forests based on remote sensing data and by implementing this information to statistical calculations determine the stem volume of the analysed stand.

Goals

Identification of position and height of individual species in forests based on remote sensing data and by implementing this information to statistical calculations determine the stem volume of the analysed stand.

Completed tasks

By using LiDAR point cloud of the given area (assessed during leaf-off period) high accuracy digital terrain and surface models are generated, from which position and height of individual trees and other deterministic parameters of dendometry can be determined. Using aerial hyperspectral imagery species level vegetation maps are produced. Complementing the remote sensing data with on-field reference measurements we can estimate the tree stem volume of the given area.

Applied technologies

End products

Digital orthophoto map

Covered digital surface model

Identified individual trees

Data implementation to WEBGIS

What are the benefits of using this method of stem volume estimation?

The position and the estimated volume of each individual tree supplies data for short- and long-term forest management.

Maps and datasheets are suitable to build up a decision support system for various forest management activities (e.g. planning transport routes before end trimming, planning human resource and machinery needs, authorisation).

Data can be serviced to end usersnot only for individual trees but aggregated for species, areas, height categories, etc.

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