Tree Species Recognition Based on Airborne Laser Scanning and Complementary Data Sources

Abstract

Species-specific information is important for many tasks related to forest management. We review the use of airborne laser scanning (ALS) and complementary data for providing this information. The main ALS-based information is related to structural features, intensity of the echoes, and waveform parameters, whereas spectral information may be provided by fusing data from different sensors. Various types of classifiers are applied, the current emphasis being in non-linear or otherwise complex techniques. The results are successful with respect to the main species, whereas the overall accuracy depends on the desired level of detail in the classification. We expect fusion approaches combining ALS and especially hyperspectral data to become more common and further improvements by the development of advanced sensor technology.

Published in

Managing Forest Ecosystems
2014, Volume: 27, number: 27, pages: 135-156 Title: Forestry Applications of Airborne Laser Scanning : Concepts and Case Studies
ISBN: 978-94-017-8662-1, eISBN: 978-94-017-8663-8Publisher: Springer

SLU Authors

• Holmgren, Johan

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Remote Sensing
Forest Science


Publication identifier

DOI: https://doi.org/10.1007/978-94-017-8663-8_7

Permanent link to this page (URI)

https://res.slu.se/id/publ/95227