The provision of urban green areas has long been associated with an improvement of the quality of life in cities. In order to achieve a sustainable urban development for a livable city, it is significant to measure urban Green Infrastructure (GI) at micro-scale level as it provides various urban ecosystem services. Grounded on Object Based Image Analysis we distinguish classes of urban trees and obtain a detailed differentiation of GI in an urbanized environment. Our integrated Remote Sensing mapping tools give a possibility to measure and assess urban GI at more detailed resolutions, and thereafter link urban GI to its functions for a multifunctional GI, through which we can, hence derive a better understanding of the contribution of GI for a better urban quality of life.
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Wang et al. (2017) studied this question.
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