Abstract

Urban land use is often characterized based on the presence of built-up land, while the land use intensity of different locations is ignored. This narrow focus is at least partially due to a lack of data on the vertical dimension of urban land. The potential of Earth observation data to fill this gap has already been shown, but this has not yet been applied at large spatial scales. This study aims to map urban 3D building structure, i.e. building footprint, height, and volume, for Europe, the US, and China using random forest models. Our models perform well, as indicated by R2 values of 0.90 for building footprint, 0.81 for building height, and 0.88 for building volume, for all three case regions combined. In our multidimensional input variables, we find that built-up density derived from the Global Urban Footprint (GUF) is the most important variable for estimating building footprint, while backscatter intensity of Synthetic Aperture Radar (SAR) is the most important variable for estimating building height. A combination of the two is essential to estimate building volume. Our analysis further highlights the heterogeneity of 3D building structure across space. Specifically, buildings in China tend to be taller on average (10.35 m) compared to Europe (7.37 m) and the US (6.69 m). At the same time, the building volume per capita in China is lowest, with 302.3 m3 per capita, while Europe and the US show estimates of 404.6 m3 and 565.4 m3, respectively. The results of this study (3D building structure data for Europe, the US, and China) are publicly available, and can be used for further analysis of urban environment, spatial planning, and land use projections.

Highlights

  • Urban development is manifested differently in different world regions, both horizontally and vertically

  • This study aims to complement these data by developing the first continental-scale data on 3D building structure, i.e. building footprint, height, and volume, where continental-scale refers to complete continents, like Europe, or areas that are comparable in size, like the US and China

  • We find that building height is prone to large uncertainty in areas that are not covered by Synthetic Aperture Radar (SAR) data, for example, a diamond-shaped area in Sichuan province of China, and a small square area in Milwaukee city of the US

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Summary

Introduction

Urban development is manifested differently in different world regions, both horizontally and vertically. Singapore has built numerous high-rise and compact apartments to accommodate its growing population (Grace Wong, 2004). A recent study on selected cities finds that urban development in the United States is dominated by decentralized-sprawl patterns, while central-compact patterns are typically found in Europe and China (Dong et al, 2019). Compact urban structure contributes to reducing greenhouse gas (GHG) emissions on the one hand Other studies have shown the impacts of urban structure on landscape aesthetics, urban climate, health aspects, or energy consumption (Güneralp et al, 2017; Lin et al, 2018; Miles et al, 2012; Stewart and Oke, 2012), among others

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