Characterizing urban densification in the city of Wuhan using time-series building information

Cao, Qian; He, Haibo; Wang, Wei; Wang, Lunche

doi:10.1007/s10980-023-01718-7

Cited by 5 publications

(1 citation statement)

References 53 publications

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“…In urban settings, building footprints are key for understanding building infrastructure and have been widely used, with increasing importance in the context of urban sustainability (Biljecki et al, 2021). The geometry of building footprints provides insights on urban morphology (Wang et (Domingo et al, 2023, Cao et al, 2023. With the addition of attributes related to 3-dimensional building form, building footprints can be used to develop digital twins (Park andGuldmann, 2019, Dukai et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Building footprint data for countries in Africa: to what extent are existing data products comparable?

Chamberlain,

Darin,

Adewole

et al. 2023

Preprint

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Growth and developments in computing power, machine-learning algorithms and satellite imagery spatiotemporal resolution have led to rapid developments in automated feature-extraction. These methods have been applied to create geospatial datasets of features such as roads, trees and building footprints, at a range of spatial scales, with national and multi-country datasets now available as open data from multiple sources. Building footprint data is particularly useful in a range of applications including mapping population distributions, planning resource distribution campaigns and in humanitarian response. In settings with well-developed geospatial data systems, such datasets may complement existing authoritative sources, but in data-scarce settings, they may be the only source of data. However, knowledge on the degree to which building footprint data products are comparable and can be used interchangeably, and the impact of selecting a particular dataset on subsequent analyses remains limited. For all countries in Africa, we review the available multi-country building footprint data products and analyse their similarities and differences in terms of building area and count metrics. We explore the variation between building footprint data products across a range of spatial scales, including sub-national administrative units and different settlement types. Our results show that the available building footprint data products are not interchangeable. There are clear differences in counts and total area of building footprints between the assessed data products, as well as considerable spatial heterogeneity in building footprint coverage and completeness.

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Section: Introductionmentioning

confidence: 99%

Building footprint data for countries in Africa: to what extent are existing data products comparable?

Chamberlain,

Darin,

Adewole

et al. 2023

Preprint

View full text Add to dashboard Cite

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Evaluation of landscape sustainability of protected areas and identification of its correlation factors: a case study of Beijing, China

Lu,

Zhuang,

Zhang

et al. 2024

Landsc Ecol

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Context Protected areas (PAs) serve as robust safeguards for the ecological safety of urban areas, and positively affect their socioeconomic development. However, limited research that integrates both ecological and socioeconomic aspects to evaluate the role of PAs. Objectives In this study, we aimed to establish an evaluation framework for PAs that applies the concept of landscape sustainability and integrates ecological and socioeconomic functions to enhance understanding of the role of PAs. Additionally, we aimed to develop analytical framework for identifying the correlation elements of landscape sustainability of protected areas (PA-LS) and improving the understanding of the mechanisms underlying PAs. Methods This study focused on 38 PAs in Beijing, China. We established the PA-LS evaluation framework to evaluate the role of PAs by analyzing changes in their overall landscape services from 2000 to 2019, and in ecological and socioeconomic functions. Subsequently, an analytical framework was established to identify the correlation factors of PA-LS, focusing on four aspects: the fundamental characteristics of PAs, landscape patterns of PAs, impact of urban areas on PAs, and human well-being within a 5 km buffer of PAs. Results The landscape sustainability evaluation of Beijings’ PAs revealed that 30 PAs (78.95% of the total) were strongly sustainable, eight (21.05%) were weakly sustainable, and none unsustainable. The results revealed that there was a positive correlation between several factors and PA-LS, including the density of the road network within a 1 km buffer of the PAs and the economic income and employment rate within a 5 km buffer of the PAs. Conversely, there was a negative correlation between one factor and PA-LS, its the distance between PAs and the urban center. Other factors, such as the category, area, classification of PAs, SHDI (ecological land), ED, LPI (forest) of PAs, and population density and residents’ health within a 5 km buffer of the PAs, were unrelated to PA-LS. Conclusions This study established a PA-LS evaluation framework and its correlation factor analytical framework, which significantly contributes to enhancing the value cognition of PAs and enriching landscape-sustainability evaluation methods. Furthermore, the study provides valuable support and serves as a reference for the conservation and management of PAs in Beijing and similar metropolitan cities.

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Green or grain? Impact of green space expansion on grain production in Chinese cities and its implications for national urban greening schemes

Dong,

Kuang,

Ren

et al. 2024

Landsc Ecol

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Context Expansion of urban green space (UGS) enhances greenery and its benefits in cities. However, the impacts of such expansions on regional landscape sustainability and their spatiotemporal traits across the national scale remain unclear. Objectives This study uncovers a trade-off between agricultural ecosystem services and urban human well-being—the loss of grain production due to UGS expansion consuming cropland—in China from 2000 to 2020. It proposes a safety boundary for UGS expansion to minimize the costs of grain production while addressing the escalating demand for UGS exposure. Methods UGS expansion and cropland loss are quantified using land cover products, with statistical data contributing to the established relationship between grain loss and UGS coverage. UGS expansion scenarios for 2040 are simulated through bottom-up modeling. Results Quadrupled UGS area growth contributed approximately one-third to urban expansion during 2000–2020 in China. Despite improvements in per capita UGS area implying enhanced UGS exposure during rapid urbanization, UGS expansion resulted in a national grain production loss of 4.2 ± 1.4 million t from 2000 to 2020, accelerating post-2010. This loss is equivalent to the annual food intake of 9.3 million Chinese people. We propose a 30.87% UGS coverage target in China by 2040 to preserve UGS access while minimizing grain loss under future urbanization. Conclusions Acknowledging the critical role of UGS expansion in the issue of cropland loss to urbanization is imperative. Our results offer insights into ensuring human well-being and ecosystem services through landscape and urban planning.

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Characterizing urban densification in the city of Wuhan using time-series building information

Cited by 5 publications

References 53 publications

Building footprint data for countries in Africa: to what extent are existing data products comparable?

Building footprint data for countries in Africa: to what extent are existing data products comparable?

Evaluation of landscape sustainability of protected areas and identification of its correlation factors: a case study of Beijing, China

Green or grain? Impact of green space expansion on grain production in Chinese cities and its implications for national urban greening schemes

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