3D-GloBFP: the first global three-dimensional building footprint dataset
#4PRI RANKED
Most Cited Paper
in Land Use and Ecosystem Services
18 Months Post-Publication
Class of 2026
“3D-GloBFP: the first global three-dimensional building footprint dataset”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
3D-GloBFP · building height estimation · building footprint scale · Earth Observation datasets · XGBoost · multisource remote-sensing features · building morphology features · urban vertical structures · Building volume · global building height map · Spatial heterogeneity · city center to rural gradient · climate modeling applications · energy consumption analysis · urban socioeconomic dynamics · building height estimation · R² validation metrics · RMSE validation · 33 global subregions
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Land Use and Ecosystem Services Papers, Class of 2026. https://pri.pepkio.com/top-papers/land-use-and-ecosystem-services/2026. Accessed 2026-10-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459