LiDAR-Based Tree Models for Brussels, Belgium (2021)

EN: <p>This dataset provides detailed tree models for the Brussels-Capital Region, Belgium, derived from airborne LiDAR point clouds collected in October 2021.</p> <p>The data processing follows a <a href="https://doi.org/10.5281/zenodo.7692182">comprehensive workflow for mapping and 3D modeling of urban forests</a>.</p> <p>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.</p> <p>The dataset covers all vegetation over 2 m in height, including trees and shrubs, and includes four key products:</p> <ul> <li><strong>Canopy Height Model (CHM):</strong></li> <p>The CHM provides area‑wide tree canopy heights through a high‑resolution raster layer (0.5 m cell size) mapping the height of the upper crown layer above the underlying ground.</p> <li><strong>Parameterized Tree Positions:</strong></li> <p>The Parameterized Tree Positions provide the location of all detected trees, with geometric attributes such as tree height and crown diameter derived for each tree.</p> <li><strong>Parameterized Tree Crowns:</strong></li> <p>The Parameterized Tree Crowns provide the spatial extent of individual crowns as 2D convex‑hull polygons around all tree points.</p> <li><strong>Semantic 3D Tree Models:</strong></li> <p>The Semantic 3D Tree Models provide reconstructed tree crowns modeled using geometric primitives, corresponding to CityGML Level of Detail (LoD) 2, with individual parameters determined for realistic volume replication.</p> </ul> <p>These products support urban forestry analysis, ecological research, city planning, and 3D visualization by providing standardized, high‑resolution representations of tree canopy heights, locations, crown extents, and three‑dimensional structures.</p> <p>The CHM enables fine‑scale assessment of canopy structure and ecosystem services; the parameterized tree positions and crowns serve as a comprehensive, automated inventory of individual trees; and the semantic 3D tree models integrate seamlessly into CityGML environments for enriched visualizations and spatial simulations.</p>