An Improved Multibaseline Ground Phase Estimation Method for Tree Height Inversion

Tree height measurement is an important step in the process of realizing carbon neutralization and carbon peaking. In the field of Polarimetric Interferometric Synthetic Aperture Radar(PoIInSAR), based on the Random Volume over Ground (RVoG) model, the existing three-stage algorithm fits the coherent line to estimate the ground phase. However, the accuracy of tree height inversion is restricted by noise during the estimation process. A novel tree height inversion method using multibaseline is proposed, enabling multiple observations of a single pixel and integrating information to identify ground phase points more accurately, improving the signal-to-noise ratio (SNR). Experimental results are significantly improved compared with the traditional method, which demonstrates the effectiveness of the proposed method in tree height inversion.