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
  • show less
    References(25)

    [1] Synthetic aperture radar. inversion of aboveground biomass in forested environments: Balancing curiosity- and application-driven acts, Journal of Remote Sensing, 23, 809-812(2019).

    [2] et alLarge-scale forest height mapping by combining TanDEM-X and GEDI data. IEEE J.-STARS, 16, 2374-2385(2023).

    [4] [4] R.N. Treuhaft, P.R. Siqueira, Vertical structure of vegetated l surfaces from interferometric polarimetric radar, Radio Sci. 35 (1) (Jan.–Feb. 2000) 141–177.

    [7] The impact of forest density on forest height inversion modeling from polarimetric InSAR data. Remote Sens.-Basel, 8, 291:1-13(2016).

    [10] Spaceborne PolSAR tomography for forest height retrieval. IEEE J.-STARS, 10, 5175-5185(2017).

    [11] C-. and X-band SAR data, IEEE J.-STARS, 11, 2406-2416(2018).

    [12] Determination of the optimum kz for L-band PolInSAR forest height estimation. IEEE Geosci. Remote S., 20, 4007705:1-5(2023).

    [13] Forest height inversion by convolutional neural networks based on L-band PolInSAR data without prior knowledge dependency. IEEE J.-STARS, 16, 10394-10405(2023).

    [14] et alMapping above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data. Remote Sens. Environ., 253, 112153:1-16(2021).

    [15] A multibaseline forest height inversion method to solve three general problems in P-band repeat-pass PolInSAR data. IEEE T. Geosci. Remote, 61, 4404915:1-15(2023).

    [17] [17] H.M. Li, Y. Wang, X.L. Luo, Tree height estimation at plateau mountains, nthwestern Sichuan, China using dual polInSAR data, in: Proc. of IEEE Intl. Geoscience Remote Sensing Symposium, Beijing, China, 2016, pp. 4698–4701.

    [18] [18] Y. Chen, Y. Wang, Y. Yan, An algithm to estimate tree height with insar technique dualpol ALOSPALSAR datasets, in: Proc. of IEEE Intl. Geoscience Remote Sensing Symposium, Brussels, Belgium, 2021, pp. 5937–5940.

    [19] [19] D.F. Duan, Y. Wang, X.L. Luo, A modified ESPRIT algithm to estimate tree height using dualpolarization InSAR datasets, in: Proc. of 12th European Conf. on Synthetic Aperture Radar, Aachen, German, 2018, pp. 1–4.

    [20] [20] D.F. Duan, Y. Wang, H. Li, Tree height estimation using the threestage algithm HH+HV dualpolarization data, in: Proc. of IEEE Intl. Geoscience Remote Sensing Symposium, Yokohama, Japanese, 2019, pp. 3229–3232.

    [21] [21] D.Y. Liu, Y. Wang, Estimation of tree height using the ESPRIT algithm with ALOSPALSAR dualpol InSAR datasets, in: Proc. of 13th European Conf. on Synthetic Aperture Radar, Leipzig, German, 2021, pp. 1–4.

    [22] [22] C.F. Bohren, D.R. Huffman, Absption Scattering of Light by Small Particles, John Wiley Sons, New Yk, USA, 1983.

    [25] L-. and C-bands from ponderosa pine stands, IEEE T. Geosci. Remote, 31, 871-879(1993).

    Tools

    Get Citation

    Copy Citation Text

    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

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    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

    Topics