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The Use of Remote Sensing in the Modeling of Forest Productivity pp 23–60Cite as

Modeling Radiative Transfer through Forest Canopies: Implications for Canopy Photosynthesis and Remote Sensing

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Part of the book series: Forestry Sciences ((FOSC,volume 50))

Abstract

In order to theoretically describe the radiative transfer inside a forest canopy, information must be obtained on the following basic geometrical and optical characteristics: the geometrical cross section of foliage elements, three-dimensional distribution of their area volume density and the phase function. In coniferous trees and stands, it is reasonable to consider one-yr-old shoots main foliage elements. Theoretical problems related to the determination of optical parameters in the hierarchical levels of needle, shoot, crown and canopy are discussed and a few examples demonstrating the structural and optical complexities of forest communities are presented. A brief description of the basic components of a new forest ecosystem radiation model and some examples of the results obtained are given.

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Authors and Affiliations

  1. Institute of Astrophysics and Atmospheric Physics, Estonian Academy of Sciences, EE2444, Observatory Tõravere, Estonia

    Tiit Nilson & Juhan Ross

Authors
  1. Tiit Nilson
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  2. Juhan Ross
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Editor information

Editors and Affiliations

  1. Tokai University, Tokyo, Japan

    Haruhisa Shimoda

  2. University of Florida, Gainesville, Florida, USA

    Henry L. Gholz

  3. Hiroshima University, Hiroshima, Japan

    Kaneyuki Nakane

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© 1997 Springer Science+Business Media Dordrecht

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Nilson, T., Ross, J. (1997). Modeling Radiative Transfer through Forest Canopies: Implications for Canopy Photosynthesis and Remote Sensing. In: Shimoda, H., Gholz, H.L., Nakane, K. (eds) The Use of Remote Sensing in the Modeling of Forest Productivity. Forestry Sciences, vol 50. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5446-8_2

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  • DOI: https://doi.org/10.1007/978-94-011-5446-8_2

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6290-9

  • Online ISBN: 978-94-011-5446-8

  • eBook Packages: Springer Book Archive

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