Segmentation of Forest to Tree Objects

  • Barbara KochEmail author
  • Teja Kattenborn
  • Christoph Straub
  • Jari Vauhkonen
Part of the Managing Forest Ecosystems book series (MAFE, volume 27)


This chapter reviews the use of airborne LiDAR data for the segmentation of forest to tree objects. The benefit obtained by LiDAR data is typically related to the use of the third dimension, i.e. the height data. Forest and stand objects may be segmented based on physical criteria, for example height and density information, while a further delineation to different timber types would require leaf-off data or an additional data source such as spectral images. Most forest applications of the LiDAR data are based on using digital surface models, but especially tree-level segmentation may benefit from a combination of raster and point data, and can be performed solely on point data. Finally, there are several established techniques for tree shape reconstruction based on the segmented point data.


Point Cloud Tree Crown LiDAR Data Seed Point Digital Surface Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Barbara Koch
    • 1
    Email author
  • Teja Kattenborn
    • 1
  • Christoph Straub
    • 2
  • Jari Vauhkonen
    • 3
  1. 1.Department of Remote Sensing and Landscape Information SystemsUniversity of FreiburgFreiburg im BreisgauGermany
  2. 2.Bayerische Landesanstalt für Wald- und ForstwirtschaftHans von Carl Carlowitz PlatzFreisingGermany
  3. 3.Department of Forest SciencesUniversity of HelsinkiHelsinkiFinland

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