--- license: cc-by-nc-4.0 language: - en --- # GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights, and LoD1 3D Models [Paper](https://essd.copernicus.org/preprints/essd-2025-327/) ## 1. Overview **GlobalBuildingAtlas** is a dataset providing global and complete coverage of building polygons (**GBA.Polygon**), heights (**GBA.Height**), and Level of Detail 1 (LoD1) 3D building models (**GBA.LoD1**). It is the first open dataset to offer high-quality, consistent, and complete building data in 2D and 3D at the individual building level on a global scale. > ⚠️ **Note:** >- This repository corresponds to Part II of the GlobalBuildingAtlas dataset, including PART II of the GBA.Polygon dataset containing building polygons from sources other than ODbL-licensed ones, and GBA.LoD1 provided in JSON format and links all building polygon features in GBA.Polygon. >- These building polygons are from [**Google Open Buildings**](https://sites.research.google/gr/open-buildings/), [**CLSM**](https://zenodo.org/records/8174931) or our own derivation. >- This repository (*GBA.LoD1*) is distributed under the **CC BY-NC 4.0 license**. >- For the Part I of the dataset, please refer to [HuggingFace](https://huggingface.co/datasets/zhu-xlab/GBA.ODbLPolygon). >- For GBA.Height, please refer to [mediaTUM](https://mediatum.ub.tum.de/1782307). More details: [https://github.com/zhu-xlab/GlobalBuildingAtlas](https://github.com/zhu-xlab/GlobalBuildingAtlas) --- ## 2. Format and Structure File names reflect the geographic extent in **EPSG:4326 (WGS84)**: - **5° × 5° tiles:** `{e/w}{lon_min}_{n/s}{lat_max}_{e/w}{lon_max}_{n/s}{lat_min}` --- ## 3. How to Use the Data 1. **Access the representative dataset** - Either in the [`representative/`](https://huggingface.co/datasets/zhu-xlab/GBA.LoD1/tree/main/representative) folder of this repository, or via [mediaTUM](https://mediatum.ub.tum.de/1782307). 2. **Identify tiles overlapping your region of interest (RoI)** - For polygons and LoD1 models: use `lod1.geojson` to find the intersecting tiles in `GBA.Polygon` or `GBA.LoD1`. - For heights: use `height_zip.geojson` and `height_tif.geojson` to find intersecting tiles in `GBA.Height`. 3. **Download required tiles** - **ODbL polygons**: download from [HuggingFace](https://huggingface.co/datasets/zhu-xlab/GBA.ODbLPolygon) and save under: ``` ./ODbLPolygon ``` - **LoD1 polygons and other data**: download from this repository, and save under: ``` ./Polygon ./LoD1 ``` 4. **Run the enrichment script** ```bash python produce_lod1.py ``` - You may also specify folder paths at your choice. ```bash python produce_lod1.py \ --odbl_root /path/to/odbl \ --polygon_root /path/to/polygon \ --json_root /path/to/json \ --output_root /path/to/output ``` - The script will read the two GeoJSON folders and the JSON folder, merge the properties, and add height and var fields. 5. **Output** - LoD1 GeoJSON files will be written under ``` ./LoD1_GeoJSON ``` or the folder you specified. - If you are only interested in GBA.Polygon, you can ignore the `height` and `var` fields. >- ⚠️Users may combine these datasets for analysis or downstream applications, but doing so **may create license implications**. >- ⚠️It is the responsibility of each user to ensure that their use complies with the respective licenses. >- ⚠️This repository does **not provide legal advice**; users should review the original licenses and, if necessary, consult legal counsel. --- ## 4. License The building polygon and LoD1 data in this repository (**GBA.LoD1**) are licensed under the **CC BY-NC 4.0 license** — [https://creativecommons.org/licenses/by-nc/4.0/](https://creativecommons.org/licenses/by-nc/4.0/) --- ## 5. Citation If you find this dataset useful for your work, please cite the following publication. ``` @Article{globalbuildingatlas, AUTHOR = {Zhu, X. X. and Chen, S. and Zhang, F. and Shi, Y. and Wang, Y.}, TITLE = {GlobalBuildingAtlas: an open global and complete dataset of building polygons, heights and LoD1 3D models}, JOURNAL = {Earth System Science Data}, VOLUME = {17}, YEAR = {2025}, NUMBER = {12}, PAGES = {6647--6668}, URL = {https://essd.copernicus.org/articles/17/6647/2025/}, DOI = {10.5194/essd-17-6647-2025} } ``` ---