气候变化领域集成服务门户(CCPortal): The urban morphology on our planet-Global perspectives from space

CCPortal

DOI	10.1016/j.rse.2021.112794
	The urban morphology on our planet-Global perspectives from space
	Zhu, Xiao Xiang; Qiu, Chunping; Hu, Jingliang; Shi, Yilei; Wang, Yuanyuan; Schmitt, Hael; Taubenboeck, Hannes
发表日期	2022
ISSN	0034-4257
EISSN	1879-0704
卷号	269
英文摘要	Urbanization is the second largest mega-trend right after climate change. Accurate measurements of urban morphological and demographic figures are at the core of many international endeavors to address issues of urbanization, such as the United Nations' call for Sustainable Cities and Communities. In many countries - particularly developing countries -, however, this database does not yet exist. Here, we demonstrate a novel deep learning and big data analytics approach to fuse freely available global radar and multi-spectral satellite data, acquired by the Sentinel-1 and Sentinel-2 satellites. Via this approach, we created the first-ever global and quality controlled urban local climate zones classification covering all cities across the globe with a population greater than 300,000 and made it available to the community (https://doi.org/10.14459/2021mp1633461). Statistical analysis of the data quantifies a global inequality problem: approximately 40% of the area defined as compact or light/large low-rise accommodates about 60% of the total population, whereas approximately 30% of the area defined as sparsely built accommodates only about 10% of the total population. Beyond, patterns of urban morphology were discovered from the global classification map, confirming a morphologic relationship to the geographical region and related cultural heritage. We expect the open access of our dataset to encourage research on the global change process of urbanization, as a multidisciplinary crowd of researchers will use this baseline for spatial perspective in their work. In addition, it can serve as a unique dataset for stakeholders such as the United Nations to improve their spatial assessments of urbanization.
英文关键词	Remote sensing; Sentinels; Big data; Data fusion; Deep learning; Local climate zones; Urban morphology; Global urban LCZ dataset; Global inequality
语种	英语
WOS研究方向	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000759649000001
来源期刊	REMOTE SENSING OF ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280569
作者单位	Technical University of Munich; Helmholtz Association; German Aerospace Centre (DLR); Technical University of Munich; Helmholtz Association; German Aerospace Centre (DLR); University of Wurzburg; Bundeswehr University Munich
推荐引用方式 GB/T 7714	Zhu, Xiao Xiang,Qiu, Chunping,Hu, Jingliang,et al. The urban morphology on our planet-Global perspectives from space[J],2022,269.
APA	Zhu, Xiao Xiang.,Qiu, Chunping.,Hu, Jingliang.,Shi, Yilei.,Wang, Yuanyuan.,...&Taubenboeck, Hannes.(2022).The urban morphology on our planet-Global perspectives from space.REMOTE SENSING OF ENVIRONMENT,269.
MLA	Zhu, Xiao Xiang,et al."The urban morphology on our planet-Global perspectives from space".REMOTE SENSING OF ENVIRONMENT 269(2022).