col-LAUT – Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands

The measurement of tree parameters from point cloud data collected with terrestrial (TLS) and personal (PLS) laser scanning devices has increased in importance. When merging the spectral information from a camera with a 3D point cloud, a colorized point cloud can be generated. This information can be used to automatically classify trees with colorful markings (dots, streaks) or to recognize numbers written on the trees. The automatic extraction of marked trees is useful for calculating the parameters of the specific trees meant for harvest, producing models and visualizations of the result of possible stand tending operations or to make finding specific trees in the point cloud of large research plots more practical and less time consuming. This dataset contains colorized single tree point clouds wtih dots, streaks, and numbers collected with a TLS (RIEGL VZ-400i, Riegl Laser Measurement Systems GmbH, Horn, Austria; with an additional Nikon D850 DSLR camera and attached Nikon AF 14mm f/2.8 D ED fisheye lens) and a PLS system (GeoSLAM ZEB Discovery System combining the GeoSLAM ZEB Horizon with the NCTech iSTAR Pulsar 360-degree camera, GeoSLAM Ltd., Nottingham, UK). The dataset consists of single tree point clouds, stem panorama plots showing the trees surface form 0.5 m up to 3 m height and tables containing the attributes to generate the images in *.csv format. Furthermore, the reference data is provided in a *.xlsx file containing tree id (that can also be found in the names of the tree files), tree species, dbh (diameter at breast height) and whether a tree was marked or not (and if so, specifying the type of marking). Additionally, this dataset contains extracted clusters of the numbers on the trees from the TLS data (in two different point-thickness settings), pre-processed images of stem panorama plots (to show the numbers in higher quality), labelled numbers, numbers from the best training and test split, as well as tables containing the results from our digit recognition with a YOLOv8 model.基于地面激光扫描（Terrestrial Laser Scanning, TLS）与个人激光扫描（Personal Laser Scanning, PLS）设备采集的点云数据开展林木参数测量的重要性日益提升。将相机采集的光谱信息与三维点云融合后，即可生成彩色点云。此类彩色点云信息可用于自动对带有彩色标记（圆点、条纹）的林木进行分类，或识别林木上标注的编号。自动提取带标记林木的工作，可用于计算待采伐特定林木的参数、生成林分抚育作业可能结果的模型与可视化成果，或是让在大型研究样地点云中查找特定林木的操作更高效、耗时更少。 本数据集包含通过TLS设备与PLS系统采集的带有圆点、条纹及编号标记的单木彩色点云：其中TLS设备采用RIEGL VZ-400i型激光扫描仪（奥地利霍恩市Riegl激光测量系统有限公司），搭配额外的尼康D850数码单反相机及配套的尼康AF 14mm f/2.8 D ED鱼眼镜头；PLS系统采用GeoSLAM ZEB Discovery系统，该系统整合了GeoSLAM ZEB Horizon设备与NCTech iSTAR Pulsar 360°相机，由英国诺丁汉市GeoSLAM有限公司研发。 本数据集包含单木点云、展示林木0.5米至3米高度区间内树干表面形态的全景图像，以及以*.csv格式存储的、用于生成上述图像的属性数据表。此外，参考数据以*.xlsx文件形式提供，其中包含林木ID（也可在林木文件的文件名中找到该ID）、林木树种、胸径（DBH, Diameter at Breast Height），以及林木是否带有标记（若带有则注明标记类型）。 此外，本数据集还包含从TLS数据中提取的林木编号聚类结果（采用两种不同点云厚度参数设置）、经预处理的树干全景图像（用于以更高画质展示编号）、带标注的编号、最优训练测试划分集对应的编号，以及采用YOLOv8模型开展数字识别得到的结果数据表。