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GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling
Ruidong Li1,2, Ting Sun3, Saman Ghaffarian4
1Department of Hydraulic Engineering, Tsinghua Univeristy, Beijing, China. lrd19@mails.tsinghua.edu.cn.
Scientific Data
|June 12, 2024
Summary
A new global dataset, GLAMOUR, provides accurate building height and footprint data using open-source Sentinel imagery. This resource aids in urban climate simulations and sustainable city planning.
Area of Science:
- Geospatial Science
- Urban Climatology
- Remote Sensing
Background:
- Accurate urban building morphology is essential for simulating hydroclimate dynamics.
- Existing global datasets lack practical accessibility and detailed resolution.
- There is a need for reliable, open-source data on urban structures.
Purpose of the Study:
- To introduce GLAMOUR, a novel dataset of global building morphology.
- To provide average building height and footprint data at high resolution.
- To enable improved urban climate modeling and sustainable urban planning.
Main Methods:
- Utilized open-source Sentinel satellite imagery for data derivation.
- Developed a method to capture building height and footprint at 0.0009° resolution.
- Validated the dataset's accuracy across 18 diverse global cities.
Main Results:
- GLAMOUR dataset offers global coverage of urban building morphology.
- Achieved high accuracy with median RMSE of 7.5 m for height and 0.14 for footprint.
- Demonstrated superior performance compared to existing building morphology datasets.
Conclusions:
- GLAMOUR provides crucial 3D building structure information for research and policy.
- The dataset facilitates 3D model generation and urban morphometric analysis.
- Enables refined hydroclimate simulations, hazard assessments, and climate-resilient urban development.
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