---
license: mit
language:
- en
- de
tags:
- code
- aerial point-cloud
- point-cloud classification
- urban streetscapes
- cross-sections
pretty_name: CTLID
---
# CITYLID: A large-scale categorized aerial Lidar dataset for street-level research

<!-- Provide a quick summary of the dataset. -->

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](https://github.com/deepankverma/navigating_streetscapes)


### 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](https://fbinter.stadt-berlin.de/fb/atom/DOP/Blattschnitt2x2km.gif). The dataset comprises (a) [Categorized Point clouds](Lidar_point_clouds) 
and (b) [Raster image files providing solar radiation maps](solar_radiation_rasters). The details regarding the 
data preparation can be found in [GitHub Repository](https://github.com/deepankverma/navigating_streetscapes). 



## Citation 

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
[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](https://www.sciencedirect.com/science/article/pii/S2210670723002846)