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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]

Schäfer, Jannika; Weiser, Hannah; Winiwarter, Lukas; Höfle, Bernhard; Fassnacht, Fabian Ewald ORCID iD icon

Abstract (englisch):

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

Zugehörige Institution(en) am KIT Institut für Geographie und Geoökologie (IFGG)
Publikationstyp Forschungsdaten
Publikationsdatum 05.11.2021
Erstellungsdatum 03.11.2021
Identifikator DOI (KIT): 10.5445/IR/1000139603
KITopen-ID: 1000139603
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter LiDAR simulation, Airborne Laser Scanning, HELIOS++, Virtual laser scanning, GeForse approach

This dataset includes files for HELIOS++ (version 1.0.7).

Art der Forschungsdaten Dataset
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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