Smart City Gnosys
Smart city article details
| Title | 3D Visibility Analysis Of Urban Parks Using Lidar For Enhanced Accuracy |
|---|---|
| ID_Doc | 190 |
| Authors | Cheng H.; Rui Q.; Yu K.; Shan L.; Chen Y.; Chen Y.; Ding G.; Liu J. |
| Year | 2025 |
| Published | Journal of Environmental Management, 389 |
| DOI | http://dx.doi.org/10.1016/j.jenvman.2025.126226 |
| Abstract | The analysis of visibility in urban parks is an essential component of landscape spatial analysis, and it holds significant importance for human well-being, health, and the transition to sustainable urban development. LiDAR point clouds offer highly detailed and accurate depictions of the urban park environment, and the calculation of visual volume can effectively quantify the visual perception indicators of urban parks. However, current methods often overlook the sparsity of ground point clouds, leading to inaccuracies in visual volume calculations. In light of this, we propose a theory of “boundary-ground-air” integration based on the “point cloud-ray-polyhedron” method to characterize the three-dimensional visibility of urban parks. The visual volume is divided into two major parts: ground and sky. Our method optimizes the calculation of visual volume for the ground part by supplementing missing point clouds based on ground continuity to enhance the accuracy of visual volume calculations. The method involves 5 key steps: identifying the boundary between ground points and non-ground points, voxelization of point clouds, calculation of aerial visual volume, calculation of ground visual volume, and volume index calculation. This method not only enables the calculation of three-dimensional visual space at any viewpoint in different locations within the landscape but also addresses the issue of accuracy deviation in visual volume calculations caused by the sparsity of ground point clouds. Using Chating Park in Fuzhou, China as a case study, the results demonstrate that our proposed method can accurately simulate the visibility measurement of urban parks at a resolution of 1m × 1m. This research achievement can provide technical support for landscape architecture planning and smart city development. © 2025 Elsevier Ltd |
| Author Keywords | 3D visibility; City park; Lidar point cloud; Point cloud voxelization; Visible volume index |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
27797  | 0.868 | Ortega S.; Santana J.M.; Wendel J.; Trujillo A.; Murshed S.M. | Generating 3D City Models From Open Lidar Point Clouds: Advancing Towards Smart City Applications | Lecture Notes in Intelligent Transportation and Infrastructure, Part F1384 (2021) |
| 36391 | 0.859 | Münzinger M.; Prechtel N.; Behnisch M. | Mapping The Urban Forest In Detail: From Lidar Point Clouds To 3D Tree Models | Urban Forestry and Urban Greening, 74 (2022) |
| 59331 | 0.858 | Yang B.; Dong Z.; Liang F.; Mi X. | Ubiquitous Point Cloud: Theory, Model, And Applications | Ubiquitous Point Cloud: Theory, Model, and Applications (2024) |
| 6549 | 0.857 | Oh G.H. | Advanced Spatial Categorization Of Buildings Based On Point Based Cloud Data Algorithms | Journal of Machine and Computing, 5, 2 (2025) |
| 11278 | 0.854 | Nys G.-A.; Billen R.; Poux F. | Automatic 3D Buildings Compact Reconstruction From Lidar Point Clouds | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 43, B2 (2020) |