3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅱ, grid ID: 401-699)

<p dir="ltr">The 3D Global Building Footprints (3D-GloBFP) dataset is the first global-scale building height dataset at the individual building footprint level for the year 2020, generated through the integration of multisource Earth Observation (EO) data and the extreme gradient boo...

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Détails bibliographiques
Auteur principal:	Yangzi Che (13843288) (author)
Autres auteurs:	Xuecao Li (11480095) (author), Xiaoping Liu (14858981) (author), Yuhao Wang (19489429) (author), Weilin Liao (19640749) (author), Xianwei Zheng (21189954) (author), Xucai Zhang (21190903) (author), Xiaocong Xu (12533960) (author), Qian Shi (14006525) (author), Jiajun Zhu (21189962) (author), Honghui Zhang (21189963) (author), Hua Yuan (14372999) (author), Yongjiu Dai (12994103) (author)
Publié:	2025
Sujets:	Urban analysis and development Geospatial information systems and geospatial data modelling Photogrammetry and remote sensing Landscape ecology Building Height Estimation Urban morphology parameters
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3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅱ, grid ID: 401-699)

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