Description: Speed Bumps is a point feature class and represents the raised part of the road. The design is intended for traffic calming purposes in built up areas.
Description: The 2D building footprint dataset is a 2D representation of building roof extents and should not be confused with the building industry floor footprint. This layer should be used to complement the higher accuracy, higher detail “2D Building Footprint” dataset (SL_CGIS_2D_BLD_FTPR) that is directly derived from the photogrammetrically acquired 3D Building Models.This dataset is derived from the City of Cape’s LiDAR 2021B dataset using automated feature extraction tools. The LiDAR point cloud has a density of 10 points per square meter and a vertical accuracy of 0.1m (95%). The point cloud is classified into ground, buildings, and unclassified points. The building roofs are vectorised and then run through a regularisation process. Following this, a limited, manual QC is performed on the dataset to clean false positives (features incorrectly classified as buildings).The data set will be amended periodically to align with the latest acquired LiDAR dataset. This dataset is an interim (“beta”) building footprint layer that will be replaced with a higher accuracy, cleaner building footprint dataset that is currently being generated using the Deep Learning feature extraction approach. The aim of the ‘beta’ footprint layer is to supply the City with a building footprint layer that has metro-wide coverage.