DatasetsSemantic Vegetation Models

Semantic Vegetation Models

Tree Models for Arcisstraße

This dataset comprises tree models at the Arcisstraße collected by Sabine Zagst. The tree position were manually identified based on MLS point clouds and diameter measurements, as detailed in her Master Thesis.

Vegetation Models
Generalized tree models at the Arcisstraße

The tree models are stored in the repository and can be obtained by running the following commands:

git clone --depth 1 git@gitlab.lrz.de:tum-gis/tum2twin-datasets.git
cd tum2twin-datasets/citygml/lod3-vegetation-datasets

Solitary Vegetation Models for Munich

The vegetation objects for entire Munich have been reconstructed using ALS point clouds and aerial imagery by Markus Münzinger in 2019. Alongside the publication that describes the reconstruction process in detail, his developed tool LiDAR-3D-Urban-Forest-Mapping is available as open source project.

Solitary Vegetation Objects Munich
Reconstructed solitary vegetation objects with an interactive web-based demo

The solitary vegetation models can be downloaded as zipped CityGML 2.0 dataset.