Global maps of 3D built-up patterns for urban morphological analysis

Horizontal and vertical patterns of built-up land are essential to analyse a range of environmental change impacts, such as exposure to natural hazards, urban heat islands, and trapping air pollution, as well as for decision making in this context. However, while data on horizontal patterns are abun...

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Published in:International Journal of Applied Earth Observation and Geoinformation
Main Authors: Mengmeng Li, Yuan Wang, Job F. Rosier, Peter H. Verburg, Jasper van Vliet
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2022
Subjects:
SAR
Online Access:https://doi.org/10.1016/j.jag.2022.103048
https://doaj.org/article/87699619ca374a739e5756fc843c935d
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spelling ftdoajarticles:oai:doaj.org/article:87699619ca374a739e5756fc843c935d 2023-05-15T14:07:41+02:00 Global maps of 3D built-up patterns for urban morphological analysis Mengmeng Li Yuan Wang Job F. Rosier Peter H. Verburg Jasper van Vliet 2022-11-01T00:00:00Z https://doi.org/10.1016/j.jag.2022.103048 https://doaj.org/article/87699619ca374a739e5756fc843c935d EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S1569843222002369 https://doaj.org/toc/1569-8432 1569-8432 doi:10.1016/j.jag.2022.103048 https://doaj.org/article/87699619ca374a739e5756fc843c935d International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103048- (2022) Building height Urban form SAR Urban heterogeneity Land use intensity Physical geography GB3-5030 Environmental sciences GE1-350 article 2022 ftdoajarticles https://doi.org/10.1016/j.jag.2022.103048 2022-12-30T19:45:21Z Horizontal and vertical patterns of built-up land are essential to analyse a range of environmental change impacts, such as exposure to natural hazards, urban heat islands, and trapping air pollution, as well as for decision making in this context. However, while data on horizontal patterns are abundant, they are relatively rare for vertical patterns. Here, we present global maps of 3D built-up patterns at a 1-km2 resolution for the nominal year 2015. These data are estimated using random forest models, fed with a wide range of spatial data and trained on reference data from all continents except Antarctica. Independent testing indicates that R2 values of the global models for built-up footprint, height, and volume equal 0.89, 0.73, and 0.84, respectively. Our results show that buildings worldwide are 6.16-m high on average, and total building volume is 1645 km3, which is the equivalent of a solid cube of 12 km on each side. Yet, we find large variations in 3D built-up patterns, both within and across world regions. In particular, floor space per person exceeds 200 m2 in both Oceania and North America, while it is only 29 m2 in South Asia and 38 m2 in Sub-Saharan Africa. Our results provide novel insights into the global distribution of 3D built-up patterns and offer new opportunities for the assessments of urban environmental impacts. The global data for building footprint, height and volume can be downloaded from https://doi.org/10.34894/4QAGYL. Article in Journal/Newspaper Antarc* Antarctica Directory of Open Access Journals: DOAJ Articles International Journal of Applied Earth Observation and Geoinformation 114 103048
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Building height
Urban form
SAR
Urban heterogeneity
Land use intensity
Physical geography
GB3-5030
Environmental sciences
GE1-350
spellingShingle Building height
Urban form
SAR
Urban heterogeneity
Land use intensity
Physical geography
GB3-5030
Environmental sciences
GE1-350
Mengmeng Li
Yuan Wang
Job F. Rosier
Peter H. Verburg
Jasper van Vliet
Global maps of 3D built-up patterns for urban morphological analysis
topic_facet Building height
Urban form
SAR
Urban heterogeneity
Land use intensity
Physical geography
GB3-5030
Environmental sciences
GE1-350
description Horizontal and vertical patterns of built-up land are essential to analyse a range of environmental change impacts, such as exposure to natural hazards, urban heat islands, and trapping air pollution, as well as for decision making in this context. However, while data on horizontal patterns are abundant, they are relatively rare for vertical patterns. Here, we present global maps of 3D built-up patterns at a 1-km2 resolution for the nominal year 2015. These data are estimated using random forest models, fed with a wide range of spatial data and trained on reference data from all continents except Antarctica. Independent testing indicates that R2 values of the global models for built-up footprint, height, and volume equal 0.89, 0.73, and 0.84, respectively. Our results show that buildings worldwide are 6.16-m high on average, and total building volume is 1645 km3, which is the equivalent of a solid cube of 12 km on each side. Yet, we find large variations in 3D built-up patterns, both within and across world regions. In particular, floor space per person exceeds 200 m2 in both Oceania and North America, while it is only 29 m2 in South Asia and 38 m2 in Sub-Saharan Africa. Our results provide novel insights into the global distribution of 3D built-up patterns and offer new opportunities for the assessments of urban environmental impacts. The global data for building footprint, height and volume can be downloaded from https://doi.org/10.34894/4QAGYL.
format Article in Journal/Newspaper
author Mengmeng Li
Yuan Wang
Job F. Rosier
Peter H. Verburg
Jasper van Vliet
author_facet Mengmeng Li
Yuan Wang
Job F. Rosier
Peter H. Verburg
Jasper van Vliet
author_sort Mengmeng Li
title Global maps of 3D built-up patterns for urban morphological analysis
title_short Global maps of 3D built-up patterns for urban morphological analysis
title_full Global maps of 3D built-up patterns for urban morphological analysis
title_fullStr Global maps of 3D built-up patterns for urban morphological analysis
title_full_unstemmed Global maps of 3D built-up patterns for urban morphological analysis
title_sort global maps of 3d built-up patterns for urban morphological analysis
publisher Elsevier
publishDate 2022
url https://doi.org/10.1016/j.jag.2022.103048
https://doaj.org/article/87699619ca374a739e5756fc843c935d
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source International Journal of Applied Earth Observations and Geoinformation, Vol 114, Iss , Pp 103048- (2022)
op_relation http://www.sciencedirect.com/science/article/pii/S1569843222002369
https://doaj.org/toc/1569-8432
1569-8432
doi:10.1016/j.jag.2022.103048
https://doaj.org/article/87699619ca374a739e5756fc843c935d
op_doi https://doi.org/10.1016/j.jag.2022.103048
container_title International Journal of Applied Earth Observation and Geoinformation
container_volume 114
container_start_page 103048
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