With deep learning becoming a more prominent approach for automatic classification of three-dimensional point cloud data, a key bottleneck is the amount of high quality training data, especially when
Laser scanning point clouds of forest stands were acquired in southwest Germany in 2019 and 2020 from different platforms: an aircraft, an uncrewed aerial vehicle (UAV) and a...
This dataset provides the data supporting the manuscript,"A New Framework for Tree Segmentation using LiDAR Data Based on Canopy Surface Points." The research employed a diverse collection of forest l
LiDAR data is used to create 3D models and provide tools to visualize potential management options for improved forest resilience. Furthermore, it is a defined aim for eco2adapt...