Articles | Volume 17, issue 12
https://doi.org/10.5194/essd-17-6647-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-6647-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
01 Dec 2025
Data description article |
| 01 Dec 2025
| 01 Dec 2025
GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models
Technical University of Munich, Munich, Germany
Munich Center for Machine Learning, Munich, Germany
Sining Chen
Technical University of Munich, Munich, Germany
Munich Center for Machine Learning, Munich, Germany
Fahong Zhang
Technical University of Munich, Munich, Germany
Yilei Shi
Technical University of Munich, Munich, Germany
Yuanyuan Wang
Technical University of Munich, Munich, Germany
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Total article views: 84,014 (including HTML, PDF, and XML)
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- Global Flood Vulnerability Model: Building-Level Assessment Using Multi-Source Remote Sensing S. Olagunju et al. https://doi.org/10.3390/rs18091425
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- SCS-Net: A Semantic-Contour Synergy Network for Precise Building Delineation From High-Resolution Remote Sensing Imagery T. Zhang et al. https://doi.org/10.1109/JSTARS.2026.3687175
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- Machine learning for urban wind simulation: A comprehensive review I. Karadag et al. https://doi.org/10.1016/j.scs.2026.107614
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- How can land development intensity and land use benefit be coordinated in high-speed railway station areas? Evidence from 1570 station areas in China Y. Hao & Z. Shen https://doi.org/10.1016/j.cities.2026.107465
- A survival guide for assessing global fire risks to natural and human systems C. Steinmann et al. https://doi.org/10.1016/j.ijdrr.2026.106140
- Groundwater and geothermal archetypes in Berlin, Germany M. Hajizadeh Javaran et al. https://doi.org/10.1186/s40517-026-00375-8
- Enhancing Urban and Peri-Urban Zoning Using Spatially Constrained Clustering: Evidence from the Jakarta–Bandung Mega-Urban Region N. Rahma et al. https://doi.org/10.3390/land15040534
- Urban Oases or Heat Islands? Precipitation, Land Cover, and Soil Texture as Factors Associated with Surface Thermal Contrasts in Brazilian Semiarid Cities A. do Amaral & A. de Andrade https://doi.org/10.1007/s41748-026-01298-x
- A temporally harmonised gridded building-stock dataset for the Global South, 2016-2023 W. Zhang et al. https://doi.org/10.12688/gatesopenres.16394.1
- Modelling spatio-temporal distribution of urban population - A high-resolution model for German cities P. Priesmeier et al. https://doi.org/10.1016/j.compenvurbsys.2026.102419
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- SAR-based individual-building damage identification and large-scale earthquake damage prediction H. Liu et al. https://doi.org/10.1016/j.jag.2026.105260
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Latest update: 11 Aug 2026
Short summary
We introduce GlobalBuildingAtlas, a publicly available dataset offering global and complete coverage of building polygons (GBA.Polygon), heights (GBA.Height) and Level of Detail 1 3D models (GBA.LoD1). This is the first open dataset to offer high quality, consistent, and complete building data in 2D and 3D at the individual building level on a global scale. With more than 2.75 billion buildings worldwide, it surpasses the most comprehensive database to date by more than 1 billion buildings.
We introduce GlobalBuildingAtlas, a publicly available dataset offering global and complete...
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