P-band PolInSAR technique has been validated to be a useful tool for forest height inversion. Aiming at the residual ground scattering contribution and temporal decorrelation in repeat-pass interferometry that affect the inversion accuracy, we proposed a dual-baseline method based on the RVoG + VTD model. This method is firstly applied to E-SAR P-band data acquired over the Krycklan Catchment, Sweden with mixed forests, and the influence of ground scattering contribution and temporal decorrelation related to vertical wavenumber $k_z$ and height $h_v$ are theoretically and experimentally explored by comparing the traditional three-stage inversion method, the fixed extinction method and the proposed method. The experimental results show that the traditional three-stage inversion method has a overall serious overestimation for the whole study area, resulting in a R² of ca. 0.4 and RMSE of ca. 7 m. Compared with the three-stage inversion method, the fixed extinction method improves the overestimation in the near range but has little effect in the far range. After introducing the RVoG + VTD model, both the overestimation in the near and far range are improved. In general, the study area is affected by both the influence of ground scattering contribution and temporal decorrelation. The overestimation in the near range (with $k_z$ larger than ca. 0.1 rad/m) is mainly caused by ground scattering contribution while for the far range (with $k_z$ smaller than ca. 0.06 rad/m) temporal decorrelation is the dominated reason. The simulation experiment further reveals the relationship between the influence of ground scattering contribution, temporal decorrelation and $k_z$. Simulative results also show that ground scattering contribution has a greater influence for a large $k_z$ while temporal decorrelation generally brings overestimation, and has a greater impact for a small $k_z$ inversely. The proposed method simultaneously reduces the effects of ground scattering contribution and temporal decorrelation, and produces the highest accuracy with R² reaching to ca. 0.6 and RMSE reducing to ca. 3.48 m, further demonstrating its validity for forest height inversion.

P 波段 PolInSAR 技术已被证实是一种有用的森林高度反演工具。针对重复通过干涉测量中的残余地面散射贡献和时间去相关影响反演精度，我们提出了一种基于RVoG+VTD模型的双基线方法。该方法首次应用于瑞典 Krycklan 集水区混交林的 E-SAR P 波段数据，以及与垂直波数相关的地面散射贡献和时间去相关的影响${克}_z$ 和身高 ${\mathrm{小时}}_v$通过比较传统的三阶段反演方法、固定消光方法和所提出的方法，从理论上和实验上进行了探索。实验结果表明，传统的三阶段反演方法对整个研究区整体存在严重高估，导致R ²为约。约 0.4 和 RMSE。7 米。与三阶段反演方法相比，固定消光法在近程改善了高估，但在远程影响不大。引入RVoG+VTD模型后，无论是近距还是远距的高估都得到了改善。一般来说，研究区域受到地面散射贡献和时间去相关的影响。在近距离范围内的高估（与${克}_z$比约大。0.1 rad/m) 主要是由地面散射贡献引起的，而对于远距离（与${克}_z$小于约。0.06 rad/m) 时间去相关是主要的原因。仿真实验进一步揭示了地面散射贡献的影响、时间去相关和${克}_z$. 模拟结果还表明，地面散射贡献对大${克}_z$ 而时间去相关通常会带来高估，并且对较小的影响较大 ${克}_z$反之。所提出的方法同时降低了地面散射贡献和时间去相关的影响，并产生了最高的精度，R ²达到了大约。0.6 和 RMSE 减少到大约。3.48 m，进一步证明了其对森林高度反演的有效性。