Abstract
ABSTRACTUrban green mapping has become an operational task in city planning, urban land management, and quality of life assessments. As a multi-dimensional, integrative concept, urban green comprising several ecological, socio-economic, and policy-related aspects. In this paper, the author advances the representation of urban green by deriving scale-adapted, policy-relevant units. These so-called geons represent areas of uniform green valuation under certain size and homogeneity constraints in a spatially explicit representation. The study accompanies a regular monitoring scheme carried out by the urban municipality of the city of Salzburg, Austria, using optical satellite data. It was conducted in two stages, namely SBG_QB (10.2 km², QuickBird data from 2005) and SBG_WV (140 km², WorldView-2 data from 2010), within the functional urban area of Salzburg. The geon delineation was validated by several quantitative measures and spatial analysis techniques, as well as ground documentation, including panorama photographs and visual interpretation. The spatial association pattern was assessed by calculating Global Moran’s I with incremental search distances. The final geonscape, consisting of 1083 units with an average size of 13.5 ha, was analyzed by spatial metrics. Finally, categories were derived for different types of functional geons. Future research paths and improvements to the described strategy are outlined.
Highlights
The relevance of Earth observation (EO)-based urban green mapping and monitoringUrban green as a metonymic expression connotes a holistic, integrated concept comprising ecological, socio-economic, and policy-related aspects: (1) urban ecosystems and biodiversity, manifested in the physical green, as in the vegetative environment; (2) the psychological well-being and quality of life including restorative effects and restoration of attention (Kaplan, 1995) induced by green structures and non-monotonous urban landscapes (Carrus et al, 2015); and (3) green mobility and liveability as well as production and consumption including resource maintenance and efficiency in the sense of the green city
Urban green mapping based on EO remote sensing image analysis has become an operational task in city planning, urban land management, and quality of life assessments (Keul & Prinz, 2011)
Urban land cover/use classification recently benefited from representing the third dimension, for example, for green volume mapping, using auxiliary LiDAR data (Hecht, Meinel, & Buchroithner, 2008) or DSM data derived from stereo imagery
Summary
Urban green as a metonymic expression connotes a holistic, integrated concept comprising ecological, socio-economic, and policy-related aspects: (1) urban ecosystems and biodiversity, manifested in the physical green, as in the vegetative environment; (2) the psychological well-being and quality of life including restorative effects and restoration of attention (Kaplan, 1995) induced by green structures and non-monotonous urban landscapes (Carrus et al, 2015); and (3) green mobility and liveability as well as production and consumption including resource maintenance and efficiency in the sense of the green city. VHR optical satellite data in bi- or tri-stereo mode (e.g. Pléiades) allow generating surface models to be used vegetation volume estimation and vertical green structure analysis
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