Review of methods of small-footprint airborne laser scanning for extracting forest inventory data in boreal forests

Authors:
J. Hyyppä;H. Hyyppä;D. Leckie;F. Gougeon;X. Yu;M. Maltamo
Affiliations:
Finnish Geodetic Institute, FIN-02431 Masala, Finland;Institute of Photogrammetry and Remote Sensing, Helsinki University of Technology, FIN-02015 Espoo, Finland;Canadian Forest Service, Pacific Forestry Centre, Victoria, British Columbia, V8Z 1M5, Canada;Canadian Forest Service, Pacific Forestry Centre, Victoria, British Columbia, V8Z 1M5, Canada;Finnish Geodetic Institute, FIN-02431 Masala, Finland;Faculty of Forestry, University of Joensuu, FIN-80101 Joensuu, Finland
Venue:
International Journal of Remote Sensing - 3D Remote Sensing in Forestry
Year:
2008

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Abstract

Experiences from Nordic countries and Canada have shown that the retrieval of the stem volume and mean tree height of a tree or at stand level from laser scanner data performs as well as, or better than, photogrammetric methods, and better than other remote sensing methods. This paper reviews the methods of small-footprint airborne laser scanning for extracting forest inventory data, mainly in the boreal forest zone. The methods are divided into the following categories: extraction of terrain and canopy height model; feature extraction approaches (canopy height distribution and individual-tree-based techniques, techniques based on the synergetic use of aerial images and lidar, and other new approaches); tree species classification and forest growth using laser scanner; and the use of intensity and waveform data in forest information extraction. Despite this, the focus is on methods, some review of quality obtained, especially in the boreal forest area, is included. Several recommendations for future research are given to foster the methodology development.