Generating synthetic laser scanning data of forests by combining inventory information, a tree point cloud database and an open-source laser scanning simulator [data to reproduce simulations]

Abstract: We combine forest inventory information, a tree point cloud database and the open-source laser scanning simulation framework HELIOS++ to generate synthetic laser scanning data of forests. Airborne laser scanning data of six 1-ha plots in temperate, central European forests was simulated and compared to real ALS data of these plots. The synthetic 3D representations of the forest stands were composed of real ALS point clouds of single trees, and, for comparison, simplified tree models with cylindrical stems and spheroidal crowns, both in form of penetrable point clouds and with an impenetrable surface.

This dataset includes the HELIOS++ data files to reproduce the simulations: - the height normalized original ALS point clouds - the synthetic forest stand point clouds - soil layers - scene files - survey files TechnicalRemarks: This dataset includes files for HELIOS++ (version 1.0.7).

Cite this as

Schäfer, Jannika, Weiser, Hannah, Winiwarter, Lukas, Höfle, Bernhard, Fassnacht, Fabian Ewald (2023). Dataset: Generating synthetic laser scanning data of forests by combining inventory information, a tree point cloud database and an open-source laser scanning simulator [data to reproduce simulations]. https://doi.org/10.35097/1538

DOI retrieved: 2023

Additional Info

Field Value
Imported on August 4, 2023
Last update November 28, 2024
License CC BY 4.0 Attribution
Source https://doi.org/10.35097/1538
Author Schäfer, Jannika
Given Name Jannika
Family Name Schäfer
More Authors
Weiser, Hannah
Winiwarter, Lukas
Höfle, Bernhard
Fassnacht, Fabian Ewald
Source Creation 2023
Publishers
Karlsruhe Institute of Technology
Production Year 2021
Publication Year 2023
Subject Areas
Name: Geography