Tree cadastres have an important role in urban areas for storing and managing the tree population. To obtain the basic data such as position, breast height diameter, tree height and crown diameter of trees, often complex manual measurement methods are necessary. In order to facilitate this process, this master thesis investigates to what extent the generation of a tree cadastre from point clouds in different urban environments can be automated and made usable for simulations
in 3D city models. For this purpose, a methodology is developed which automatically extracts tree parameters from point clouds in different urban environments and examines them on the basis of a street and a park. Furthermore, an interface between the resulting tree cadastre and a semantic 3D city model is created by generating 3D models in the standardized CityGML format from the extracted tree parameters. The methodology presented in this master thesis delivers results for all tree parameters mentioned above. All of them, except for the diameter of the breast height, meet the accuracy requirements of a tree cadastre. Limitations in the automation arise from the different properties of the various point clouds, which make an individual choice of some program parameters necessary.
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Tree cadastres have an important role in urban areas for storing and managing the tree population. To obtain the basic data such as position, breast height diameter, tree height and crown diameter of trees, often complex manual measurement methods are necessary. In order to facilitate this process, this master thesis investigates to what extent the generation of a tree cadastre from point clouds in different urban environments can be automated and made usable for simulations
in 3D city models....
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