CITYLID: A large-scale categorized aerial Lidar dataset for street-level research

This repository is dedicated to providing categorized aerial Lidar datasets along with the methodology for data preparation. Details regarding data preparation and usage are given in the GitHub Repository

Dataset Description

The dataset covers the entire state of Berlin and is divided into 1060 tiles of 1 sq. km each. The tiles are further grouped under 9 regions. The dataset comprises (a) Categorized Point clouds and (b) Raster image files providing solar radiation maps. The details regarding the data preparation can be found in GitHub Repository.

Citation

Verma, D., Mumm, O., & Carlow, V. M. (2023). Generating citywide street cross-sections using aerial LiDAR and detailed street plan. Sustainable Cities and Society, 96, 104673