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虽然Lidar点云数据已被广泛应用于获取森林各项结构参数,但这些方法并不适合于低矮的灌丛、林地和农作物。本文以玉米为研究对象,提出利用机载Lidar点云数据的强度信息和全波形数据中的距离与扫描天顶角信息,反演农作物覆盖度和LAI的方法。在黑河进行的飞行实验和地面验证表明,该方法具有较高精度,也表明Lidar在低矮自然植被监测和农业应用上有较大潜力。
Although Lidar point cloud data has been widely used to obtain the structural parameters of the forest, these methods are not suitable for low shrubs, woodlands and crops. In this paper, we use maize as the research object and propose a method to retrieve crop coverage and LAI by using the intensity information of airborne Lidar point cloud data and the distance and scan zenith angle information in full waveform data. Flight experiments and ground tests conducted in Heihe show that this method has higher accuracy and also shows that Lidar has great potential for low natural vegetation monitoring and agricultural application.