气候变化领域集成服务门户(CCPortal): Continental-scale mapping and analysis of 3D building structure

CCPortal

DOI	10.1016/j.rse.2020.111859
	Continental-scale mapping and analysis of 3D building structure
	Li M.; Koks E.; Taubenböck H.; van Vliet J.
发表日期	2020
ISSN	00344257
卷号	245
英文摘要	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. © 2020 The Author(s)
英文关键词	Building height; Land use intensity; SAR; Urban density; Urban form
语种	英语
scopus关键词	Backscattering; Decision trees; Land use; Synthetic aperture radar; Backscatter intensity; Building footprint; Continental scale; Earth observation data; Input variables; Spatial planning; Urban environments; Vertical dimensions; Buildings; backscatter; building; continental lithosphere; ecological footprint; geological mapping; heterogeneity; land use planning; remote sensing; synthetic aperture radar; three-dimensional modeling; urban area; China; Europe; United States
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/179310
作者单位	Institute for Environmental Studies, VU University Amsterdam, De Boelelaan 1085, Amsterdam, HV 1081, Netherlands; German Aerospace Center, German Remote Sensing Data Center, Oberpfaffenhofen 82234, Germany; Institute for Geography and Geology, Julius-Maximilians-Universität Würzburg, Würzburg, 97074, Germany
推荐引用方式 GB/T 7714	Li M.,Koks E.,Taubenböck H.,et al. Continental-scale mapping and analysis of 3D building structure[J],2020,245.
APA	Li M.,Koks E.,Taubenböck H.,&van Vliet J..(2020).Continental-scale mapping and analysis of 3D building structure.Remote Sensing of Environment,245.
MLA	Li M.,et al."Continental-scale mapping and analysis of 3D building structure".Remote Sensing of Environment 245(2020).