2022-2024年中国典型森林无人机激光雷达点云数据

利用无人机搭载RIEGL VUX-1激光雷达获取的高精度点云数据，并采用 WGS84 基准面作为高程基准。共计54个测区，总面积超过 50 平方公里，覆盖广西、河北、福建、云南等地，样地大小从 5000 平方米到 36000 平方米，包含了多种植被类型和不同的地形，如平缓地形，起伏地形，以及陡坡。无人机飞行相对高度保持在 200-300m，飞行速度约 8m/s，点云旁向重叠度控制在20%-30%，确保数据连续性和完整性。点云数据平均密度不低于每平方米 30个点，测距精度优于 5mm，可清晰刻画地形起伏、地物特征及植被结构，为地形测绘，生态监测及地质灾害评估提供高分辨率三维数据支持。(协议共享)

High-precision point cloud data was acquired using an unmanned aerial vehicle (UAV) equipped with a RIEGL VUX-1 LiDAR system, with the WGS84 datum adopted as the elevation reference. The dataset includes a total of 54 survey areas, covering a total area of over 50 square kilometers across regions such as Guangxi, Hebei, Fujian and Yunnan. The plot sizes range from 5,000 to 36,000 square meters, and the dataset covers various vegetation types and different topographies including flat terrain, undulating terrain and steep slopes. The UAV maintained a relative flight altitude of 200–300 meters, with a flight speed of approximately 8 m/s. The side overlap of the point cloud was controlled within 20%–30% to ensure data continuity and integrity. The average point density of the point cloud data is no less than 30 points per square meter, and the ranging accuracy is better than 5 mm. This dataset can clearly depict topographic undulations, surface feature characteristics and vegetation structures, providing high-resolution three-dimensional data support for topographic mapping, ecological monitoring and geological hazard assessment. (Shared under agreement)

搜集汇总

背景与挑战

背景概述

该数据集是2022-2024年间在中国典型森林区域采集的无人机激光雷达点云数据，覆盖河北、云南、广西、福建等省份超过50平方公里的区域，使用RIEGL VUX-1 LiDAR传感器，平均点密度超过30点/平方米，测距精度优于5毫米，为地形测绘、生态监测和地质灾害评估提供高分辨率三维数据支持。