arXiv:2506.04106cs.CV2025-06被引 74

全球首个完整建筑数据集,含27.5亿栋建筑的二维轮廓、高度与三维模型。

GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Models

  • 基于卫星影像与机器学习,自动提取全球建筑轮廓与高度信息。
  • 建筑数量超27.5亿,覆盖率达97%以上,分辨率3米,精度达1.5-8.9米RMSE。
  • 适合城市规划、气候变化研究及联合国可持续发展目标监测使用。

我们推出GlobalBuildingAtlas,一个公开的全球性建筑数据集,涵盖建筑多边形、高度及LoD1级三维模型。这是首个在个体建筑层面提供全球范围、高质量、一致且完整的2D与3D建筑数据的开放数据集。基于全球PlanetScope卫星数据,我们开发了机器学习流程,分别生成建筑多边形(GBA.Polygon)和高度(GBA.Height)。通过质量导向的融合策略,整合现有公开数据,生成更高质量的建筑轮廓。该数据集包含超过27.5亿栋建筑,较现有最全面数据库多出超10亿栋。GBA.Height提供了迄今为止最精细准确的全球3D建筑高程图,空间分辨率达3×3米,比以往90米的产品提升30倍,支持局部与全球尺度的建筑体积高精度分析。最终,基于GBA.Polygon与GBA.Height生成了全球首个完整的LoD1建筑模型(GBA.LoD1),包含26.8亿个建筑实例,高度完整性超过97%,各洲平均误差在1.5米至8.9米之间。凭借其高精度、广覆盖与丰富空间细节,GlobalBuildingAtlas为全球建筑现状提供了全新洞见,解锁前所未有的地理空间分析潜力,如更精准的人口分布刻画与联合国第11项可持续发展目标进展的全面监测。

原文摘要 · Abstract (English)

We introduce GlobalBuildingAtlas, a publicly available dataset providing global and complete coverage of building polygons, heights and Level of Detail 1 (LoD1) 3D building models. This is the first open dataset to offer high quality, consistent, and complete building data in 2D and 3D form at the individual building level on a global scale. Towards this dataset, we developed machine learning-based pipelines to derive building polygons and heights (called GBA.Height) from global PlanetScope satellite data, respectively. Also a quality-based fusion strategy was employed to generate higher-quality polygons (called GBA.Polygon) based on existing open building polygons, including our own derived one. With more than 2.75 billion buildings worldwide, GBA.Polygon surpasses the most comprehensive database to date by more than 1 billion buildings. GBA.Height offers the most detailed and accurate global 3D building height maps to date, achieving a spatial resolution of 3x3 meters-30 times finer than previous global products (90 m), enabling a high-resolution and reliable analysis of building volumes at both local and global scales. Finally, we generated a global LoD1 building model (called GBA.LoD1) from the resulting GBA.Polygon and GBA.Height. GBA.LoD1 represents the first complete global LoD1 building models, including 2.68 billion building instances with predicted heights, i.e., with a height completeness of more than 97%, achieving RMSEs ranging from 1.5 m to 8.9 m across different continents. With its height accuracy, comprehensive global coverage and rich spatial details, GlobalBuildingAltas offers novel insights on the status quo of global buildings, which unlocks unprecedented geospatial analysis possibilities, as showcased by a better illustration of where people live and a more comprehensive monitoring of the progress on the 11th Sustainable Development Goal of the United Nations.

建筑数据三维建模遥感城市研究

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