A single-tree volume non-destructive measurement method based on ground-based laser radar

Abstract

This invention provides a non-destructive measurement method for single-tree volume based on ground-based lidar, belonging to the field of single-tree volume measurement. It focuses on extracting structural features of tree trunks with different morphologies and calculating trunk volume. The method uses Masson pine as the research object, with 52 individual trees as samples. Real values ​​of different heights and diameters were collected and the single-tree volume was calculated. Simultaneously, a ground-based lidar system was used to scan a high-density three-dimensional lidar point cloud. First, the original point cloud data was sampled and processed. The growth of seed points was constrained by normal vectors and angles to accurately extract the tree trunk point cloud. Then, point cloud slicing was used to simulate the cutting of a real disk, and an improved convex hull algorithm was used to calculate the area of ​​a single layer of point cloud. In occluded areas, a fitted circle was constructed using local point cloud data to calculate the area of ​​that layer. Finally, the single-tree volume was obtained using the method of infinitesimal elements. The correlation between the calculated volume and the actual calculated volume is R. 2 The value reached 0.995, and the RMSE was 0.017m. 3 The nRMSE is 2.38%, indicating that the trunk can be accurately extracted and the volume of a single piece of wood can be calculated without contact.