3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299)
<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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2025
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| _version_ | 1849927630470512640 |
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| author | Yangzi Che (13843288) |
| author2 | Xuecao Li (11480095) Xiaoping Liu (14858981) Yuhao Wang (19489429) Weilin Liao (19640749) Xianwei Zheng (21189954) Xucai Zhang (21190903) Xiaocong Xu (12533960) Qian Shi (14006525) Jiajun Zhu (21189962) Honghui Zhang (21189963) Hua Yuan (14372999) Yongjiu Dai (12994103) |
| author2_role | author author author author author author author author author author author author |
| author_facet | Yangzi Che (13843288) Xuecao Li (11480095) Xiaoping Liu (14858981) Yuhao Wang (19489429) Weilin Liao (19640749) Xianwei Zheng (21189954) Xucai Zhang (21190903) Xiaocong Xu (12533960) Qian Shi (14006525) Jiajun Zhu (21189962) Honghui Zhang (21189963) Hua Yuan (14372999) Yongjiu Dai (12994103) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yangzi Che (13843288) Xuecao Li (11480095) Xiaoping Liu (14858981) Yuhao Wang (19489429) Weilin Liao (19640749) Xianwei Zheng (21189954) Xucai Zhang (21190903) Xiaocong Xu (12533960) Qian Shi (14006525) Jiajun Zhu (21189962) Honghui Zhang (21189963) Hua Yuan (14372999) Yongjiu Dai (12994103) |
| dc.date.none.fl_str_mv | 2025-11-25T14:54:30Z |
| dc.identifier.none.fl_str_mv | 10.6084/m9.figshare.28889813.v4 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/3D-GloBFP_the_first_global_three-dimensional_building_footprint_dataset_PART_grid_ID_900-1299_/28889813 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Urban analysis and development Geospatial information systems and geospatial data modelling Photogrammetry and remote sensing Landscape ecology Building Height Estimation Urban morphology parameters |
| dc.title.none.fl_str_mv | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <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 boosting (XGBoost) model. The reliability and accuracy of 3D-GloBFP have been validated across 33 subregions, achieving R² values ranging from 0.66 to 0.96 and root-mean-square errors (RMSEs) between 1.9 m and 14.6 m. The dataset is divided into spatial grid-based tiles, each stored as an individual ShapeFile (.shp) containing estimated building heights (in meters) in attribute tables. See world_grid.shp and readme.txt at <a href="https://doi.org/10.5281/zenodo.11319912" target="_blank">https://doi.org/10.5281/zenodo.11319912</a> for grid partitioning and naming details.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_7e9438f40734f3b392ba0915c395176c |
| identifier_str_mv | 10.6084/m9.figshare.28889813.v4 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28889813 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299)Yangzi Che (13843288)Xuecao Li (11480095)Xiaoping Liu (14858981)Yuhao Wang (19489429)Weilin Liao (19640749)Xianwei Zheng (21189954)Xucai Zhang (21190903)Xiaocong Xu (12533960)Qian Shi (14006525)Jiajun Zhu (21189962)Honghui Zhang (21189963)Hua Yuan (14372999)Yongjiu Dai (12994103)Urban analysis and developmentGeospatial information systems and geospatial data modellingPhotogrammetry and remote sensingLandscape ecologyBuilding Height EstimationUrban morphology parameters<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 boosting (XGBoost) model. The reliability and accuracy of 3D-GloBFP have been validated across 33 subregions, achieving R² values ranging from 0.66 to 0.96 and root-mean-square errors (RMSEs) between 1.9 m and 14.6 m. The dataset is divided into spatial grid-based tiles, each stored as an individual ShapeFile (.shp) containing estimated building heights (in meters) in attribute tables. See world_grid.shp and readme.txt at <a href="https://doi.org/10.5281/zenodo.11319912" target="_blank">https://doi.org/10.5281/zenodo.11319912</a> for grid partitioning and naming details.</p>2025-11-25T14:54:30ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.28889813.v4https://figshare.com/articles/dataset/3D-GloBFP_the_first_global_three-dimensional_building_footprint_dataset_PART_grid_ID_900-1299_/28889813CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/288898132025-11-25T14:54:30Z |
| spellingShingle | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) Yangzi Che (13843288) Urban analysis and development Geospatial information systems and geospatial data modelling Photogrammetry and remote sensing Landscape ecology Building Height Estimation Urban morphology parameters |
| status_str | publishedVersion |
| title | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) |
| title_full | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) |
| title_fullStr | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) |
| title_full_unstemmed | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) |
| title_short | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) |
| title_sort | 3D-GloBFP: the first global three-dimensional building footprint dataset (PART Ⅳ, grid ID: 900-1299) |
| topic | Urban analysis and development Geospatial information systems and geospatial data modelling Photogrammetry and remote sensing Landscape ecology Building Height Estimation Urban morphology parameters |