The Latvian Forest Scanning Application project focuses on extracting and classifying trees with diameters exceeding 15 centimeters along the Latvia-Belarus border. This initiative employs the LiBackpack DGC50, equipped with horizontal and vertical dual laser sensors, a GNSS antenna module, and a panoramic color camera, to scan the forest and gather point cloud data. This data is subsequently processed using LiFuser-BP and LiDAR360 software to pinpoint seed points, compute tree metrics, and categorize tree species. This article delves into the project's planning, data acquisition, processing, and the high precision of the outcomes.
The LiBackpack DGC50, integrating dual laser sensors, a GNSS antenna module, and a panoramic camera, is utilized to scan the forest and capture point cloud data.
The generated point clouds possess absolute geographic coordinates and RGB true color details. The LiBackpack DGC50 employs the SLAM algorithm to capture geographic environmental data and reconstruct 3D point cloud scenes. The algorithm's efficacy is contingent on geographic environmental characteristics. Prior to data collection, the scanning environment undergoes preliminary exploration, and the measurement path is pre-planned. Given the vast measurement area, it's segmented. During the process, tools like total stations gather several reference points with absolute geographic coordinates, aiding in the correction and merging of point cloud data.
Post-data collection, LiFuser-BP processes the raw point cloud data, and LiDAR360 software analyzes forestry parameters. LiFuser-BP generates point cloud results (*.Lidata format), while LiDAR360, with its specialized forestry data modules, extracts seed points, computes tree metrics, and classifies tree species.
The subsequent images display point clouds in height mode, using the section tool to inspect the forest scan, offering a preliminary assessment of the data collection's completeness and accuracy. Users can tailor the inspection and buffer areas of the section tool.
The images below depict the use of forestry module processing tools to identify tree seed points and segment individual trees. They calculate tree parameters, including X, Y, and Z geographic coordinates, diameter at breast height, crown diameter, crown area, tree height, CBH, and curvature. Users can also modify the tree attribute table, introduce new fields, and categorize tree species.
The final data results, presented to clients via LiDAR360's forestry module, are illustrated below:
Ground control points validated the project outcomes, confirming their high accuracy and alignment with project specifications.
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