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Tree and Canopy Height Estimation with Scanning Lidar

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Book cover Remote Sensing of Forest Environments

Abstract

A large part of the research efforts concerning the remote sensing of forests has been devoted to the development of repeatable methods for the extraction of information from monoscopic, two-dimensional images. Emphasis has been on spectral pattern recognition. Although appropriate for species or health characterisation, this approach comes with several limitations when detailed information on forest structure, e.g. three-dimensional aspects of forest canopies, is sought (Wulder 1998). Accurate measurements of height, density, volume, stratification, etc. at local scales, which are of prime interest for foresters and forest ecologists, and which have a geometric rather than radiometric nature, are still beyond the capabilities of two-dimensional remote sensing and image processing.

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Author information

Authors and Affiliations

  1. Université du Québec à Montréal, Montreal, H3C 3P8, Quebec, Canada

    Benoît St-Onge

  2. Queen’s University, Kingston, Ontario, K7L 3N6, Canada

    Paul Treitz

  3. Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, British Columbia, V8Z 1M5, Canada

    Michael A. Wulder

Authors
  1. Benoît St-Onge
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  2. Paul Treitz
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  3. Michael A. Wulder
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Editor information

Editors and Affiliations

  1. Canadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, V8Z 1M5, Victoria, British Columbia, Canada

    Michael A. Wulder

  2. Department of Geography, University of Calgary, T2N 1N4, Calgary, Alberta, Canada

    Steven E. Franklin

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© 2003 Springer Science+Business Media New York

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St-Onge, B., Treitz, P., Wulder, M.A. (2003). Tree and Canopy Height Estimation with Scanning Lidar. In: Wulder, M.A., Franklin, S.E. (eds) Remote Sensing of Forest Environments. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0306-4_19

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  • DOI: https://doi.org/10.1007/978-1-4615-0306-4_19

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5014-9

  • Online ISBN: 978-1-4615-0306-4

  • eBook Packages: Springer Book Archive

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