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more evident than in the limited capabilities of Spatial Information Systems (SIS) to manipulate data from aerial Light Detection and Ranging (LiDAR). Currently, multiple software packages are needed to conduct three-dimensional (3D) analysis of LiDAR data. This workflow heavily relies on importing and exporting different file formats, thus potentially losing accuracy and increasing costs. Ideally, all required functionality would be available within a single system. New functionalities in Oracle Spatial combined with our enhanced 3D-indexing for hosting and analysing offer a critical breakthrough in this area.
Laefer, D., Bertolotto, M., Schoen-Phelan, B. (2010). Enhancing 3D LiDAR Data Handling. GIM International, 24, 2, pp.12-13, 2010. doi:10.21427/D7D32Q