基于激光雷达数据的森林数据分析与处理系统的设计与实现

Design and implementation of forestry resources data analysis and treatment system based on LIDAR data

机载激光雷达(LiDAR)是一种新型数据获取手段,目前在林业资源管理、森林防火、林木砍伐等方面已广泛应用,但尚未形成完整的、实用的林业LiDAR数据分析与处理系统。通过分析已有LiDAR数据应用于林业资源管理方面的理论和方法,以目前开源LiDAR点云数据处理技术、海量点云数据可视化技术,以及GIS相关分析技术为基础,结合林业资源管理需求,设计并研发了基于LiDAR数据的林业资源数据分析与处理系统。系统实现了LiDAR点云数据的管理与可视化、数字高程模型生成、数字地表模型生成、冠高模型生成、平均树高估计等功能,为基于LiDAR数据的林业资源管理提供统一的平台。

Airborne LiDAR(LiDAR)is a new data acquisition method.At present,it has been widely used in forestry resources management,forest fire prevention and forest felling,but has not yet formed a complete and practical data analysis and treatment systemof forestry LiDAR.By analyzing the theories and methods of LiDAR data used in forestry resource management in this paper,based on the current processing technology of open source LiDAR point cloud data,the visualization technology of massive point cloud,and the GIS analysis technology.Combined with the forestry resource management needs,forestry resources data analysis and treatment system based on LiDAR data is designed and developed.The system realizes the management and visualization of LiDARpoint cloud data,the generation of DEM,the generation of DTM,the generation of CHMand estimation of average tree height,to provide a unified platform for forestry resource management based on LiDAR data.