Mapping global urban greenspace: An analysis based on open land-cover data |
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| Affiliation: | 1. School of Geography and Information Engineering, China University of Geosciences, Wuhan, PR China;2. Department of Geography, Geomatics and Environment, University of Toronto – Mississauga, Mississauga, Canada;1. Department of Systems Engineering, Czech University of Life Sciences Prague, Kamýcká 129, 165 21 Prague 6-Suchdol, Czech Republic;2. Nature Conservation Agency of the Czech Republic, Kaplanova 1931/1, 148 00 Prague 11-Chodov, Czech Republic;1. Ironwood Urban Forestry Consulting Inc., 570 Wardlaw Ave., Winnipeg R3L 0M2, Manitoba, Canada;2. School for Resource and Environmental Studies, 6100 University Ave, Halifax B3H 4R2, Nova Scotia, Canada;1. Civil Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada;2. Mechanical Engineering, University of Victoria, 3800 Finnerty Road, Victoria, BC V8P 5C2, Canada;3. The City of Calgary, 625 - 25 Ave S.E., Calgary, AB T2G 4K8, Canada;1. Department of Plant and Soil Sciences, University of Delaware, Newark, DE, USA;2. USDA Forest Service, Northern Research Station, NRS-08, Newark, DE, USA;3. USDA Forest Service, Northern Research Station, NRS-08, Baltimore, MD, USA;4. USDA Forest Service, Northern Research Station, NRS-08, Delaware, OH, USA;5. USDA Forest Service, Northern Research Station, NRS-08, Philadelphia, PA, USA;1. Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia;2. Victoria University, Institute for Health and Sport, Melbourne, Australia |
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| Abstract: | 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. |
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| Keywords: | Greenspace Urban area Global mapping Open data FROM-GLC10 GHS-UCDB |
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