基于多平台激光雷达数据集成的森林资源调查研究进展

随着森林资源调查的深入，基于单平台激光雷达数据的空间信息获取方式存在着精度低、数据完整性差等缺点，无法满足精准林业要求的森林信息提取的高精确性。文中系统总结了森林点云数据配准方法和多平台激光雷达数据配准融合在树木属性、立木材积等调查研究中的应用，以及多平台激光雷达数据协同作业在树木生长特性、森林地上生物量等方面的研究现状，对当前森林资源调查和多平台激光雷达数据集成技术存在的问题进行了讨论并提出未来研究展望。

Research Progress in Forest Resource Inventory Based on Multi-platform Lidar Data Integration

As forest resource inventory goes deeper, the spatial information acquisition method based on single-platform lidar data cannot meet the requirements of precision forestry for high accuracy of forest information extraction due to low accuracy and poor data integrity. This paper systematically summarizes the application of forest point cloud registration and multi-platform lidar data fusion to the investigation and research on tree attributes and standing wood volume, and introduces the current research on multi-platform lidar data collaborative operation in terms of tree growth characteristics and forest aboveground biomass. It describes the problems rising in the current forest resource inventory and multi-platform lidar data integration technology, and puts forward the prospects of the future research.