关键词: 复合种植方式, 无人机, 株高, 大豆, 玉米, 动态反演

Abstract: In order to accurately estimate the plant height of soybean and maize under composite planting system, the digital terrain model （DTM） generated by the mean interpolation method and linear interpolation method and the digital surface model （DSM） generated by UAV image were used for processing, respectively. The canopy height model （CHM） of soybean and maize under composite planting mode was obtained. The linear regression method combined with the determination coefficient （R²） and root mean square error （RMSE） was used to analyze the accuracy of the model, and the interpolation method corresponding to the plant height model with higher accuracy was selected, and the dynamic inversion of plant height of soybean and maize was realized by using the model. The results showed that the DTM obtained by linear interpolation had a better CHM estimation effect after processing, and the model’s R² was 0.85 and RMSE was 7.05 cm. It was indicated that in the absence of complete DTM data, it was feasible to construct the canopy height model by using small-area DTM generated by interpolation and DSM generated by UAV image, and realize dynamic inversion of soybean and maize plant height under composite planting mode.

Key words: composite planting systems, unmanned aerial vehicle（UAV）, plant height, soybean, maize, dynamic inversion