Points for Energy Renovation (PointER): A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics

A LiDAR-based point cloud dataset of more than one million building point clouds. Around half of the point clouds are linked to energy performance features (i.e. EPC, etc.). The dataset contains one point cloud for every building property in 16 English districts. Districts include rural and urban regions and represent the overall English building stock. The energy performance features are linked via the Unique Property Reference Number. This way, the point clouds can easily be connected to other features, too.

本数据集为基于激光雷达（LiDAR）的建筑点云数据集，涵盖超百万栋建筑的点云数据。其中约半数点云关联了能源性能特征（即EPC等）。该数据集覆盖英格兰16个行政区的全部建筑房产，每处房产均对应一组点云数据。这些行政区包含乡村与城市区域，可代表英格兰整体的建筑存量水平。能源性能特征通过唯一房产参考编号（Unique Property Reference Number，UPRN）完成关联，借此可便捷地将点云数据与其他各类特征数据建立关联。