Large disagreements in estimates of urban land across scales and their implications

Improvements in high-resolution satellite remote sensing and computational advancements have sped up the development of global datasets that delineate urban land, crucial for understanding climate risks in our increasingly urbanizing world. Here, we analyze urban land cover patterns across spatiotemporal scales from several such current-generation products. While all the datasets show a rapidly urbanizing world, with global urban land nearly tripling between 1985 and 2015, there are substantial discrepancies in urban land area estimates among the products influenced by scale, differing urban definitions, and methodologies. We discuss the implications of these discrepancies for several use cases, including for monitoring urban climate hazards and for modeling urbanization-induced impacts on weather and climate from regional to global scales. Our results demonstrate the importance of choosing fit-for-purpose datasets for examining specific aspects of historical, present, and future urbanization with implications for sustainable development, resource allocation, and quantification of climate impacts.

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Publication Details

Journal
Nature Communications
Published
2024-10-24
DOI
https://doi.org/10.1038/s41467-024-52241-5
Citations
43
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
12.15

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article

Large disagreements in estimates of urban land across scales and their implications

Yun Qian, Lei Zhao, TC Chakraborty, Matthias Demuzere et al.
43 citations
Nature Communications
Land Use and Ecosystem Services
12.15
article

Large disagreements in estimates of urban land across scales and their implications

Yun Qian, Lei Zhao, TC Chakraborty, Matthias Demuzere, Zander Samuel Venter, Jing Gao, Wenfeng Zhan
article en
43 citations

Abstract

Improvements in high-resolution satellite remote sensing and computational advancements have sped up the development of global datasets that delineate urban land, crucial for understanding climate risks in our increasingly urbanizing world. Here, we analyze urban land cover patterns across spatiotemporal scales from several such current-generation products. While all the datasets show a rapidly urbanizing world, with global urban land nearly tripling between 1985 and 2015, there are substantial discrepancies in urban land area estimates among the products influenced by scale, differing urban definitions, and methodologies. We discuss the implications of these discrepancies for several use cases, including for monitoring urban climate hazards and for modeling urbanization-induced impacts on weather and climate from regional to global scales. Our results demonstrate the importance of choosing fit-for-purpose datasets for examining specific aspects of historical, present, and future urbanization with implications for sustainable development, resource allocation, and quantification of climate impacts.

Nature CommunicationsVol. 15(1)
Pacific Northwest National Laboratory (US), University of Illinois Urbana-Champaign (US), National Center for Supercomputing Applications (US), Norwegian Institute for Nature Research (NO), University of Delaware (US), Nanjing University (CN)
National Science Foundation, U.S. Department of Energy, Battelle, University of Illinois at Urbana-Champaign, Office of Science, Biological and Environmental Research, Pacific Northwest National Laboratory
Openalex Percentile: Top 1%
Land Use and Ecosystem Services
12.15
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