PCA-Forestry Point Cloud Data Processing and Analysis is an automated and intelligent software designed for post-processing and analysis of point cloud data. It focuses on UAV LiDAR point clouds and ground-based LiDAR point clouds (including mobile, handheld SLAM, and backpack SLAM) as the primary data sources. Built upon the principles of object-oriented point cloud analysis, it offers a comprehensive suite of tools for point cloud data processing and analysis that are streamlined, intelligent, automated, and user-friendly. The software supports batch processing of massive point clouds and enables rapid extraction of metrics such as tree count, individual tree height, individual tree volume, individual tree diameter at breast height (DBH), and forest volume.
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Data Visualization
Single Tree 3D Reconstruction
Interactive Editing
Single Tree Segmentation and Information Extraction