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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Номзүйн дэлгэрэнгүй
Үндсэн зохиолч:	Yangzi Che (13843288) (author)
Бусад зохиолчид:	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)
Хэвлэсэн:	2025
Нөхцлүүд:	Urban analysis and development Geospatial information systems and geospatial data modelling Photogrammetry and remote sensing Landscape ecology Building Height Estimation Urban morphology parameters
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

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

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