Dual-polarization SAR rice growth model: A modeling approach for monitoring plant height by combining crop growth patterns with spatiotemporal SAR data

Plant height (PH) is a crucial indicator for monitoring rice growth. Synthetic aperture radar (SAR) has emerged as a valuable tool for monitoring rice growth due to its sensitivity to changes in vegetation. This paper introduces a dual-polarization SAR rice growth model for plant height (DPSRG-PH) that effectively combines crop growth patterns with PH models. To enhance the generalization ability of growth monitoring, we employ an unsupervised domain adaptive (DA) method. The experimental results demonstrate that the DPSRG-PH model considers the correlation between crop growth changes in the time dimension and the differences in crop growth at different phenological stages. Moreover, it can be effectively applied throughout the entire growth period, with the RMSE of most growth stages remaining below 10 cm. Furthermore, the modeling method proposed in this study effectively addresses the issues of overfitting caused by the number of sample points. This enhances the reasonability of the model parameters in evaluating the growth trend and holds practical implications for production.