Analysis ready Point cloud

This work proposes a novel methodological approach or creation of an information extraction system or urban planning and governance using airborne LiDAR point clouds in an ontological data management layout and 3D Data Repository. The framed data management layout utilizes the LiDAR point cloud directly or decision-making with an integrated querying and output visualization framework. This enables the LiDAR point cloud to be used as a primary dataset without converting it into raster and vector formats and exploiting the full potential of the dataset. The work utilizes the concept of spatial-semantic object-based queries to enable a wide range of utilitarian queries in a time- and space-efficient manner from the ontological-based state-of-the-art bi-modular framework or 3D data storage of classified urban point clouds.

Publications:

Jayati Vijaywargiya & Anandakumar M. Ramiya (2023): Information extraction system for urban planning and governance using a LiDAR-based 3D repository, Journal of Spatial Science, DOI: 10.1080/14498596.2023.2200313

Student contributors: Jayati Vijaywargiya