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A method for forest biomass inversion and mapping by integrating active and passive remote sensing data feature interpolation and machine learning
Modern Applied Optics | 更新时间：2026-01-15

    • A method for forest biomass inversion and mapping by integrating active and passive remote sensing data feature interpolation and machine learning

    • “In the field of forest biomass mapping, experts have proposed a multi-source data fusion method based on feature interpolation, which effectively solves the problem of spatial sparsity of spaceborne LiDAR data and provides a method reference for large-scale forest carbon stock assessment and ecosystem monitoring.”
    • Optics and Precision Engineering   Vol. 33, Issue 22, Pages: 3460-3474(2025)

    • DOI：10.37188/OPE.20253322.3460    

      CLC： TP79
    • CSTR：32169.14.OPE.20253322.3460    

    • Received：19 August 2025，

      Revised：2025-10-22，

      Published：25 November 2025

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  • QI Qi,WANG Hongtao,FENG Baokun,et al.A method for forest biomass inversion and mapping by integrating active and passive remote sensing data feature interpolation and machine learning[J].Optics and Precision Engineering,2025,33(22):3460-3474. DOI： 10.37188/OPE.20253322.3460. CSTR： 32169.14.OPE.20253322.3460.

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