Abstract
Urban green space (UGS) plays a pivotal role in improving urban ecosystem services and building a livable environment for urban dwellers. However, remotely sensed investigation of UGS at city scale is facing a challenge due to the pixels’ mosaics of buildings, squares, roads and green spaces in cities. Here we developed a new algorithm to unmix the fraction of UGS derived from Landsat TM/ETM/8 OLI using a big-data platform. The spatiotemporal patterns and dynamics of UGSs were examined for 70 major cities in China between 2000 and 2018. The results showed that the total area of UGS in these cities grew from 2780.66 km2 in 2000 to 6764.75 km2 in 2018, which more than doubled its area. As a result, the UGS area per inhabitant rose from 15.01 m2 in 2000 to 18.09 m2 in 2018. However, an uneven layout of UGS occurred among the coastal, western, northeastern and central zones. For example, the UGS percentage in newly expanded urban areas in the coastal zone rose significantly in 2000–2018, with an increase of 2.51%, compared to the decline in UGS in cities in the western zone. Therefore, the effective strategies we have developed should be adopted to show disparities and promote green infrastructure capacity building in those cities with less green space, especially in western China.
Highlights
Global warming and rapid urbanization have profound effects on urban settlement environments and human well-being [1,2,3]
A reasonable and scientific layout of Urban green space (UGS) contributes to improving the urban ecosystem services in city habitats, as well as to flood protection, cleaner air and leisure and recreation space [14]
In the 70 cities, the total area of UGS grew from 2780.66 km2 in 2000 to 6764.76 km2 in 2018, an increase of 1.43 times (Figure 3)
Summary
Global warming and rapid urbanization have profound effects on urban settlement environments and human well-being [1,2,3]. Fast urbanization results in the transformation from natural vegetation or semi-natural lands to human-dominated lands, i.e., buildings, roads, squares, etc., to accommodate the increasing population accompanied by built-up land expansion [6]. These changes cause a series of environmental issues, such as an ascending trend in the frequency of urban extreme heat events and flood disasters, increased air pollution, and their related deaths [1,7,8]. Gaining knowledge about UGS patterns and dynamics is important in urban planning and management
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