Global Urban FBR 10-m Grid Dataset (2023)
ZHAO Lifeng1,2TIAN Li*1,2YANG Yang3WANG Zhenbo1,2
1 Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China2 University of Chinese Academy of Sciences，Beijing 100049，China3 College of Computer Science，Beijing University of Technology，Beijing 100124，China
DOI:10.3974/geodb.2025.11.06.V1
Published:Nov. 2025
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Key Words：
Forest-Built Area Ratio,10-m resolution,urban physical spatial boundaries,Global Cities
Abstract：
FBR (Forest-Built Area Ratio) is defined as the ratio of forested area to built-up area within a given urban extent. This metric enables a standardized comparison of forest coverage across different cities worldwide and facilitates investigations into the differential balance between urban forests and the built environment globally. The global urban 10-m FBR gridded dataset was produced using GAIA urban boundary data and ESRI land-use data. The processing and calculation were implemented through an integrated workflow employing PyCharm, Google Earth, ArcGIS, and QGIS platforms. A sliding-window method was applied, with each window defined as a square region of approximately 2 km side length (i.e., the perpendicular distance from the central pixel to each window edge is about 1 km). The resulting dataset provides the Forest-Built Area Ratio at a 10-m spatial resolution for 983 cities worldwide. Data validation confirms that the FBR outputs show strong consistency with ESRI land-use data and high-resolution Google Earth satellite imagery. The dataset includes FBR gridded data for each of the 983 cities. Each file is named after the major administrative division covered by the corresponding city (based on FAO Global Administrative Boundaries). The dataset is archived in .tif format, and consists of 983 data files with data size of 53.6 GB (compressed to 3 files with 1.75 GB).
Foundation Item：
Chinese Academy of Sciences (XDA28060400); Ministry of Science and Technology of the P. R. China (2024YFD1500203)
Data Citation：
ZHAO Lifeng, TIAN Li*, YANG Yang, WANG Zhenbo. Global Urban FBR 10-m Grid Dataset (2023)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2025. https://doi.org/10.3974/geodb.2025.11.06.V1.
References：
[1] Li, X.C., Gong, P., Zhou, Y. Y., et al. Mapping global urban boundaries from the global artificial impervious area (GAIA) data [J]. Environmental Research Letters, 2020, 15(9): 094044.
[2] Chen, B., Wu, S. B. A., Song, Y. M., et al. Contrasting inequality in human exposure to greenspace between cities of Global North and Global South [J]. Nature Communications, 2022, 13(1): 4636.
[3] Karra, K., Kontgis, C., Statman-Weil, Z., et al. Global land use / land cover with Sentinel 2 and deep learning [C]. 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium, 2021, 4704-4707.
[4] FAO. WMS for the administrative boundaries (level 2) - GAUL 2024 [DB/OL]. Food and Agriculture Organization of the United Nations (2024) [2025-11-02]. https://data.apps.fao.org/catalog/dataset/60b23906-f21a-49ef-8424-f3645e70264e/resource/a4d23085-c6be-4924-b4be-1df45cec4168.
Data Product:
| ID |
Data Name |
Data Size |
Operation |
| 1 |
UrbanFBR_1.rar |
525946.35KB |
|
| 2 |
UrbanFBR_2.rar |
686009.48KB |
|
| 3 |
UrbanFBR_3.rar |
624768.03KB |
|