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Assessing Dead Wood by Airborne Laser Scanning

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Forestry Applications of Airborne Laser Scanning

Part of the book series: Managing Forest Ecosystems ((MAFE,volume 27))

Abstract

This chapter reviews the existing research concerning coarse woody debris (CWD) characterization by means of airborne laser scanning (ALS) data. The research so far has concentrated on modelling and mapping CWD on different scales, from single tree to stands, and to the use of ALS as auxiliary data in sampling-based inventories. In general the accuracy of ALS-based CWD models has varied considerably, from accurate predictions in different nature conservation areas to hardly statistically significant models in managed forests with a very low amount of CWD. A large-scale case study carried out in Norway showed that the classification of the presence of notable CWD quantities is more reliable than characterization of CWD volumes.

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Authors and Affiliations

  1. School of Forest Sciences, University of Eastern Finland, Joensuu, Finland

    Matti Maltamo & Eveliina Kallio

  2. Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway

    Ole Martin Bollandsås, Erik Næsset & Terje Gobakken

  3. Blom Kartta Oy, Helsinki, Finland

    Annukka Pesonen

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  1. Matti Maltamo
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  2. Eveliina Kallio
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  3. Ole Martin Bollandsås
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  4. Erik Næsset
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  5. Terje Gobakken
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  6. Annukka Pesonen
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Correspondence to Matti Maltamo .

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Editors and Affiliations

  1. School of Forest Sciences, University of Eastern Finland, Joensuu, Finland

    Matti Maltamo

  2. Department of Ecology and Natural Resource Management, Norwegian University of Life Sciences, Ås, Norway

    Erik Næsset

  3. Department of Forest Sciences, University of Helsinki, Helsinki, Finland

    Jari Vauhkonen

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Maltamo, M., Kallio, E., Bollandsås, O.M., Næsset, E., Gobakken, T., Pesonen, A. (2014). Assessing Dead Wood by Airborne Laser Scanning. In: Maltamo, M., Næsset, E., Vauhkonen, J. (eds) Forestry Applications of Airborne Laser Scanning. Managing Forest Ecosystems, vol 27. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-8663-8_19

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