《Mapping global urban greenspace: An analysis based on open land-cover data》

打印
作者
Qi Zhou;Yiming Liao;Jue Wang
来源
URBAN FORESTRY & URBAN GREENING,Vol.74,Issue1,Article 127638
语言
英文
关键字
作者单位
School of Geography and Information Engineering, China University of Geosciences, Wuhan, PR China;Department of Geography, Geomatics and Environment, University of Toronto – Mississauga, Mississauga, Canada;School of Geography and Information Engineering, China University of Geosciences, Wuhan, PR China;Department of Geography, Geomatics and Environment, University of Toronto – Mississauga, Mississauga, Canada;Department of Systems Engineering, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Prague 6-Suchdol, Czech Republic;Nature Conservation Agency of the Czech Republic, Kaplanova 1931/1, 148 00 Prague 11-Chodov, Czech Republic;Department of Architecture, University of Pretoria, Bag X 20 Hatfield, Pretoria 0028, South Africa;Green Infrastructure Research Labs (GIRLS), Cities Research Institute, Griffith University, 170 Kessels Road, Nathan, 4111 Queensland, Australia;Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States;USDA Forest Service, Northern Research Station, Baltimore Field Station, Baltimore, MD, United States;Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States;Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland;School of Geosciences, University of Aberdeen, King’s College, Aberdeen AB24 3FX Scotland, UK;Graduate Program in Sustainability Science – Global Leadership Initiative (GPSS-GLI), University of Tokyo, Kashiwa, Japan;International University of Health and Welfare, Faculty of Medicine, Narita, Japan;Institute for Future Initiatives (IFI), University of Tokyo, Tokyo, Japan;Institute for the Advanced Studies of Sustainability (UNU-IAS), United Nations University, Tokyo, Japan
摘要
Urban greenspace plays a positive role in improving the urban living environment, and thus extensive studies have paid attention to the mapping of urban greenspace for various applications. Recently, open and high-resolution land-cover (LC) data have been viewed as essential sources for urban greenspace mapping. However, few studies have performed a global-scale analysis; moreover, as there are commonly different LC types in an LC dataset, few studies have investigated how the definition or selection of different LC types as greenspace impacts urban greenspace mapping. Therefore, this study aims to investigate the spatial pattern of urban greenspace at a global scale and the impact on selecting different LC types for urban greenspace mapping. We employed two global open datasets (FROM-GLC10 and GHS-UCDB) and identified 13,079 global urban areas. Various LC types that potentially relate to urban greenspace and three different selections of LC types were analyzed. Results show that: 1) The spatial pattern of global urban greenspace may vary with the use of different selections; 2) The impact of whether or not to select each LC type as urban greenspace relates to not only the LC type itself but also the geographic locations. The findings may benefit urban planners and designers to select proper LC type(s) for urban greenspace studies.