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复合种植方式下大豆和玉米株高的动态反演

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为准确估测复合种植方式下大豆和玉米的株高,分别利用均值插值法和线性插值法生成的数字地面模型(Digital terrain model,DTM)和基于无人机影像生成的数字表面模型(Digital surface model,DSM)进行处理,得到复合种植方式下大豆和玉米的冠层高度模型(Canopy height model,CHM).借助线性回归方法并结合决定系数(R2)和均方根误差(RMSE)对模型进行精度分析,筛选出精度更高的株高模型对应的插值方法,并采用该模型实现对复合种植方式下大豆和玉米株高的动态反演.结果表明,线性插值得到的DTM经过处理最后生成的CHM估测效果更好,模型的R2为0.85,RMSE为7.05 cm.表明在缺少完整DTM数据的情况下,借助插值生成的小面积DTM与基于无人机影像生成的DSM构建冠层高度模型,并实现复合种植方式下大豆和玉米株高动态反演的方法可行.
Dynamic inversion of plant height of soybean and maize under composite planting system
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)gener-ated 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 re-sults 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.

composite planting systemsunmanned aerial vehicle(UAV)plant heightsoybeanmaizedynamic inversion

王宦臣、张吴平、李富忠

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山西农业大学软件学院,山西 太谷 030801

复合种植方式 无人机 株高 大豆 玉米 动态反演

山西省基础研究计划项目

202103021224123

2024

湖北农业科学
湖北省农业科学院 华中农业大学 长江大学 黄冈师范学院

湖北农业科学

CSTPCD
影响因子:0.442
ISSN:0439-8114
年,卷(期):2024.63(8)
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