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Height and Biomass Inversion of Winter Wheat Based on Canopy Height Model

机译:基于冠层高度模型的冬小麦高度和生物量反演

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The aboveground biomass of crops is an important index reflecting the growth status of crops. It is an important reference for achieving precise water and fertilizer management, yield monitoring and prediction. In this paper, the true height of the vegetation relative to the ground is obtained from the data preprocessing, the point cloud filtering and the normalization of the UAV radar data. The accuracy of biomass and height estimated by the average canopy height (Hcanopy) derived from canopy height model (CHM) is analyzed in a variety of resolution(5cm, 10cm, 15cm,20cm,25, 30cm,50cm, 100cm)respectively. The results suggest that the Hcanopy derived from CHM in 5cm resolution is highest correlated with biomass(R2=0.93, RMSE=698.90kg/ha), the Hcanopy derived from CHM in 50cm resolution is highest correlated with height (R2=0.96, RMSE=4cm). The crop growth parameters could be estimated based on UAV LiDAR across broad spatial scales.
机译:作物地上生物量是反映作物生长状况的重要指标。对于实现精确的水肥管理,产量监测和预测,它是重要的参考。本文通过数据预处理,点云滤波和无人机雷达数据的归一化获得植被相对于地面的真实高度。通过平均冠层高度(H 机盖 分别以各种分辨率(5cm,10cm,15cm,20cm,25、30cm,50cm,100cm)分析源自冠层高度模型(CHM)的)。结果表明 机盖 来自CHM的5cm分辨率与生物量(R 2 = 0.93,RMSE = 698.90kg / ha),来自CHM的Hcanopy在50cm分辨率下与身高相关性最高(R 2 = 0.96,RMSE = 4cm)。可以基于UAV LiDAR在广泛的空间尺度上估算作物生长参数。

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