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

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...

Полное описание

Сохранить в:
Библиографические подробности
Главный автор: Yangzi Che (13843288) (author)
Другие авторы: 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)
Опубликовано: 2025
Предметы:
Urban analysis and development
Geospatial information systems and geospatial data modelling
Photogrammetry and remote sensing
Landscape ecology
Building Height Estimation
Urban morphology parameters
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

Схожие документы

Схожие документы