TY  - JOUR
N1  - Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article?s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article?s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
VL  - 11
KW  - Atmospheric science
KW  - 
Hydrology
PB  - Springer Science and Business Media LLC
A1  - Li, Ruidong
A1  - Sun, Ting
A1  - Ghaffarian, Saman
A1  - Tsamados, Michel
A1  - Ni, Guangheng
JF  - Scientific Data
TI  - GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling
SN  - 2052-4463
Y1  - 2024/06/12/
AV  - public
IS  - 1
N2  - Understanding building morphology is crucial for accurately simulating interactions between urban structures and hydroclimate dynamics. Despite significant efforts to generate detailed global building morphology datasets, there is a lack of practical solutions using publicly accessible resources. In this work, we present GLAMOUR, a dataset derived from open-source Sentinel imagery that captures the average building height and footprint at a resolution of 0.0009° across urbanized areas worldwide. Validated in 18 cities, GLAMOUR exhibits superior accuracy with median root mean square errors of 7.5 m and 0.14 for building height and footprint estimations, indicating better overall performance against existing published datasets. The GLAMOUR dataset provides essential morphological information of 3D building structures and can be integrated with other datasets and tools for a wide range of applications including 3D building model generation and urban morphometric parameter derivation. These extended applications enable refined hydroclimate simulation and hazard assessment on a broader scale and offer valuable insights for researchers and policymakers in building sustainable and resilient urban environments prepared for future climate adaptation.
ID  - discovery10193458
UR  - http://dx.doi.org/10.1038/s41597-024-03446-2
ER  -