This project was developed as part of the master thesis "Automated Generation of a Tree Cadastre From Point Clouds in Different Urban Environments". The full-text of the thesis was published via MediaTUM and can be found here. If you use this code or my master thesis please cite this document:
@mastersthesis{
author = {Zagst, Sabine},
title = {Automatisierte Generierung eines Baumkatasters aus Punktwolken in unterschiedlichen urbanen Umgebungen},
year = {2023},
school = {Technische Universität München},
adress = {München},
language = {de}
}
The program automatically creates a tree cadastre from a point cloud. The tree cadastre resulting from the automated workflow is subsequently available as a tree parameter list in a CSV file and also as a CityGML file. In the CityGML file, the trees also have a geometric representation in the form of a cylinder-sphere model based on the respective tree parameters. For more details and example results please have a look at the mastersthesis.
pip install pipenvgit clone --recursive https://github.com/SabineZa/Automatic_Tree_Cadastre.gitpipenv installpipenv run python main.pyIf you don't have a FME-license you can nevertheless use the code and create a tree cadastre out of your pointclouds. The only drawback will be that you can't create a geometric representation of the trees in CityGML. For that you just have to disable the correspnding lines of code.
For help or further information feel free to contact me: [email protected]