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- Titel:
Points for Energy Renovation (PointER): A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 30.06.2023
- Verantwortlich:
- Krapf, Sebastian
- Autorinnen / Autoren:
- Krapf, Sebastian; Mayer, Kevin; Fischer, Martin
- Institutionszugehörigkeit:
- Technical University of Munich: Krapf, Sebastian
Stanford University: Mayer, Kevin; Fischer, Martin - Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2023mp1713501
- Enddatum der Datenerzeugung:
- 21.06.2023
- Fachgebiet:
- BAU Bauingenieurwesen, Vermessungswesen; DAT Datenverarbeitung, Informatik; ERG Energietechnik, Energiewirtschaft
- Quellen der Daten:
- Abbildungen von Objekten / image of objects
- Datentyp:
- Tabellen / tables; Datenbanken / data bases
- Anderer Datentyp:
- JSON, NPY (point clouds)
- Methode der Datenerhebung:
- 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. - Beschreibung:
- 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... »
- Links:
- This dataset relates to the publication: https://doi.org/10.1038/s41597-023-02544-x
- Schlagworte:
- point cloud, LiDAR, building, built environment, renovation, energy rating, energy performance, energy performance certificate, energy efficiency
- Technische Hinweise:
- 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/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
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