Workflow for mapping and 3D-modeling of urban forests based on LiDAR point clouds

This repository contains scripts for high-resolution area-wide mapping and 3D modeling of urban forests based on LiDAR point clouds. The workflow is designed for widely available LiDAR point clouds with a density of at least 4 pts/m².

Our published research article:

Münzinger, M., Prechtel, N., & Behnisch, M. (2022). Mapping the Urban Forest in Detail: From LiDAR Point Clouds to 3D Tree Models. Available at https://doi.org/10.1016/j.ufug.2022.127637.

Processing Tasks:

• Task 1: Classification of the urban forest in an object-based data fusion approach combining the point cloud with multispectral aerial imagery and a 3D building model
• Task 2: Detection, segmentation and parameterization of individual tree crowns
• Task 3: Efficient reconstruction and 3D modeling of tree crowns using geometric primitives