- Description
This dataset provides detailed tree models for Braunschweig, Germany, derived from airborne LiDAR point clouds collected in February 2019.
The data processing follows a comprehensive workflow for mapping and 3D modeling of urban forests. It uses an object‑based data‑fusion approach that integrates multispectral aerial imagery and a semantic 3D building model to classify and model individual trees with high accuracy and consistency.
The dataset covers all vegetation over 2 m in height, including trees and shrubs, and includes four key products:
Canopy Height Model (CHM), Parameterized Tree Positions, Parameterized Tree Crowns and Semantic 3D Tree Models.- Data availability
- Spatial expansion
Berlin, Deutschland (2021), Braunschweig, Deutschland (2019), München, Deutschland (2012, 2022), Amsterdam, Niederlande (2020), Brüssel, Belgien (2021)
- DOI (Braunschweig, 2019)
10.71830/2DZCIA
- Available since
2025-05-08
- License:
CC BY 4.0
- Author/ Contact person:
Markus Münzinger (m.muenzinger@ioer.de), Leibniz-Institut für ökologische Raumentwicklung e. V
- Access:
Please register in the ioerDATA repository to download the data.
To the data set in the ioerDATA repository