Estimating Tree Biomass Using the Empirical Relations between High-Resolution Polarimetric SAR Data and Forest Parameters

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概要

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• A new approach to estimate tree biomass based on the texture information in the high resolution polarimetric SAR images is proposed in this paper. The statistical distribution of amplitude is analyzed. Among the Rayleigh, log-normal, Weibull and K-distributions, the K-distribution is found to fit best to the data of all polarizations, although the Weibull distribution fits equally well. Then the relations between tree parameters and order parameter of the K-distribution have been investigated, and it is found that there is a strong correlation between the tree biomass and the order parameter in the L-band cross-polarization images. A remarkable feature of this result is that the order parameter increases with biomass to approximately 100tons/ha and possibly above, which is well beyond the saturation limit of the radar cross section (approximately 40tons/ha for L-band RCS).

• 社団法人電子情報通信学会の論文
• 2005-05-20

著者

• Ouchi Kazuo

  Kochi University Of Technology

• MORIYAMA Toshifumi

  NICT

• WANG Haipeng

  Kochi University of Technology

• WATANABE Manabu

  JAXA

• SHIMADA Masanobu

  JAXA

• TADONO Takeo

  JAXA

• ROSENQVIST Ake

  JAXA

• AHMAD ROMSHOO

  Energy and Resources Institute

• MATSUOKA Masayuki

  Research Institute for Humanity and Nature

• URATSUKA Seiho

  NICT

• Uratsuka Seiho

  National Institute of Information and Communications Technology

• Watanabe Manabu

  Earth Observation Research And Application Center (eorc) Japan Aerospace Exploration Agency (jaxa)

• Moriyama Toshifumi

  Earth Observation Research And Application Center (eorc) Japan Aerospace Exploration Agency (jaxa)

• Ouchi Kazuo

  Department Of Information Science National Defense Academy

• Wang Haipeng

  Fudan Univ. Shanghai Chn

• Tadono Takeo

  Earth Observation Research And Application Center (eorc) Japan Aerospace Exploration Agency (jaxa)

• Rosenqvist Ake

  Earth Observation Research Center Japan Aerospace Exploration Agency Harumi Island Triton Square

• Shimada Masanobu

  Earth Observation Research And Application Center (eorc) Japan Aerospace Exploration Agency (jaxa)

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