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- Document type:
- Forschungsdaten
- Publication date:
- 30.06.2023
- Responsible:
- Krapf, Sebastian
- Authors:
- Krapf, Sebastian; Mayer, Kevin; Fischer, Martin
- Author affiliation:
- Technical University of Munich: Krapf, Sebastian
Stanford University: Mayer, Kevin; Fischer, Martin - Publisher:
- TUM
- Title:
- Points for Energy Renovation (PointER): A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics
- Identifier:
- doi:10.14459/2023mp1713501
- End date of data production:
- 21.06.2023
- Subject area:
- BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; ERG Energietechnik, Energiewirtschaft
- Resource type:
- Abbildungen von Objekten / image of objects
- Data type:
- Tabellen / tables; Datenbanken / data bases
- Other data type:
- JSON, NPY (point clouds)
- Description:
- 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 t... »
- Method of data assessment:
- The dataset is created by cropping the UK National LIDAR Programme's point clouds with building footprints.
The energy performance features are linked via the Unique Property Reference Number. Please also see our paper for a detailed description of the method. - Links:
- This dataset relates to the publication: https://doi.org/10.1038/s41597-023-02544-x
- Key words:
- point cloud, LiDAR, building, built environment, renovation, energy rating, energy performance, energy performance certificate, energy efficiency
- Technical remarks:
- View and download (5,1 GB total, 2 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1713501):
rsync rsync://m1713501@dataserv.ub.tum.de/m1713501/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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