3D-GloBFP: the first global three-dimensional building footprint dataset

Che, Yangzi; Li, Xuecao; Liu, Xiaoping; Wang, Yuhao; Liao, Weilin; Zheng, Xianwei; Zhang, Xucai; Xu, Xiaocong; Shi, Qian; Zhu, Jiajun; Zhang, Honghui; Yuan, Hua; Dai, Yongjiu

doi:https://doi.org/10.5194/essd-16-5357-2024

Articles | Volume 16, issue 11

https://doi.org/10.5194/essd-16-5357-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-5357-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 11

Data description paper

|

25 Nov 2024

Data description paper |

| 25 Nov 2024

3D-GloBFP: the first global three-dimensional building footprint dataset

Yangzi Che, Xuecao Li, Xiaoping Liu, Yuhao Wang, Weilin Liao, Xianwei Zheng, Xucai Zhang, Xiaocong Xu, Qian Shi, Jiajun Zhu, Honghui Zhang, Hua Yuan, and Yongjiu Dai

Supplement

https://doi.org/10.5194/essd-16-5357-2024-supplement

Data sets

Building height of the Americas, Africa, and Oceania in 3D-GloBFP Yangzi Che et al. https://doi.org/10.5281/zenodo.11319912

Building height of Asia in 3D-GloBFP Yangzi Che et al. https://doi.org/10.5281/zenodo.11397014

Building height of Europe in 3D-GloBFP Yangzi Che et al. https://doi.org/10.5281/zenodo.11391076

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Short summary

Most existing building height products are limited with respect to either spatial resolution or coverage, not to mention the spatial heterogeneity introduced by global building forms. Using Earth Observation (EO) datasets for 2020, we developed a global height dataset at the individual building scale. The dataset provides spatially explicit information on 3D building morphology, supporting both macro- and microanalysis of urban areas.