This layer contains the subdivision into tiles of the LiDAR data from 2019. The data is issued from a three-dimensional survey based on LiDAR (Light Detection and Ranging) technology. From a technical point of view, the LiDAR system, or airborne LiDAR measures the distance between the ground and the aircraft using an infrared laser beam. The resulting data is processed to produce a three-dimensional coordinate file (point cloud) with a decimeter accuracy per pixel on the ground. For this prototype around the Nordstad region, the flyover was carried out in February 2019 with a density of 15 points per square meter and a horizontal accuracy of +/- 3 cm and vertical of +/- 6 cm. The density indicates the pulses sent from the system, the density of the points measured can be higher depending on the type of surface scanned (Single reflection/multiple reflection). Point cloud - Data structure The raw data is structured in the form of tiles with a spatial extent of 500 mx 500 m, they contain on average between 5 and 7 million measured points. To simplify the downloading of the data, the raw tiles have been grouped together in the form of compressed files (zip) comprising up to 9 raw tiles (representing a spatial extent of 1500 m × 1500 m). The assembly table with the zip files allows an overview of the grouped tiles. Point cloud - point classification The point cloud is classified into 9 different categories: [0] - Unclassified points [2] – Ground [3] - Low vegetation [4] - Average vegetation [5] - High vegetation [6] - Buildings [7] - Low Points (noise) [9] - Water [13] - Bridges, Footbridges, Viaducts [15] - Powerlines The number in [] indicates the Class ID.