Stand Allocation High Inversion Method Based on TanDEM-X Data

An improved differential method combining polarization interference and mixed pixel decomposition techniques is proposed to invert the average height of stands based on TanDEM-X/TerraSAR-X HH single-polarization interference pairs and GF-2 remote sensing data. And use the field data to verify accuracy. The results show that the canopy height model is corrected by vegetation abundance, the estimation accuracy and R² value of the average height of the stand are greatly improved, and the root mean square error is also reduced. Therefore, the method proposed in this study can effectively reduce the influence of the mixed pixel function produced by the low canopy density of the stand on the average high inversion of the stand, and improve the average high inversion accuracy of the stand.