Journal of Electronic Science and Technology, Volume. 22, Issue 3, 100263(2024)

An approach to estimate tree height using PolInSAR data constructed by the Sentinel-1 dual-pol SAR data and RVoG model

Yin Zhang and Ding-Feng Duan*
Author Affiliations
  • School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, 611731, China
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    Figures & Tables(8)
    Schematic diagram of the RVoG model.
    Tree heights: (a) a simulated forest scene. Estimated tree heights with the constructed, (b) original, and (c) PolInSAR data.
    Histograms of estimated tree heights using the constructed and original PolInSAR data.
    Estimated tree heights using the constructed PolInSAR data. Solid red dots are the ICESat-2 data points.
    Histograms of the estimated tree heights.
    Comparison of estimated tree heights with the constructed PolInSAR data and ICESat-2-derived heights at 23 sample locations.
    Stand density of 30000 trees/km2 and 50000 trees/km2. Tree heights derived from the constructed: (a) original, (b) PolInSAR data, (c) height histograms, (d) original, (e) PolInSAR data, and (f) height histograms.
    • Table 1. Simulation parameters.

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      Table 1. Simulation parameters.

      Resolution[azimuth×range] (m)Incident angle (°)Perpendicular baseline (m)Tree speciesStand density (trees/km2)Tree height (m)
      1.50×1.0635.010Pine4000018.0
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    Yin Zhang, Ding-Feng Duan. An approach to estimate tree height using PolInSAR data constructed by the Sentinel-1 dual-pol SAR data and RVoG model[J]. Journal of Electronic Science and Technology, 2024, 22(3): 100263

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    Paper Information

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    Received: Dec. 18, 2023

    Accepted: Jun. 11, 2024

    Published Online: Oct. 11, 2024

    The Author Email: Ding-Feng Duan (dingfengduan_uestc@163.com)

    DOI:10.1016/j.jnlest.2024.100263

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