Smart City Gnosys
Smart city article details
| Title | Information Extraction System For Urban Planning And Governance Using Lidar Based 3D Repository |
|---|---|
| ID_Doc | 31455 |
| Authors | Vijaywargiya J.; Ramiya A.M. |
| Year | 2024 |
| Published | Journal of Spatial Science, 69, 1 |
| DOI | http://dx.doi.org/10.1080/14498596.2023.2200313 |
| Abstract | In rapidly expanding cities, an accurate land-cover information system can assist in making decisions for sustainable urban planning and governance. Point cloud procured using Airborne LiDAR Scanning (ALS) can be harnessed by creating an adaptable urban semantic information layout with querying capability. We propose a novel methodology that isolates spatial objects and integrates them with attribute information to enable object-based spatio-semantic queries. Experiments were carried out to demonstrate proposed methodology based on queries of different complexities. Results indicate that proposed approach is scalable, flexible, and hence opens a wide application perspective in urban planning, and sustainable smart city development. © 2023 Mapping Sciences Institute, Australia and Surveying and Spatial Sciences Institute. |
| Author Keywords | 3D datastore; ALS point cloud; object-based spatio-semantic query; spatial database; urban governance |
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