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整合生物物理和定性方面的城市绿色评估

Urban green valuation integrating biophysical and qualitative aspects.

作者信息

Lang Stefan

机构信息

Department of Geoinformatics - Z_GIS, University of Salzburg, Salzburg, Austria.

出版信息

Eur J Remote Sens. 2017 Dec 12;51(1):116-131. doi: 10.1080/22797254.2017.1409083. eCollection 2018.

Abstract

Urban 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.

摘要

城市绿色空间制图已成为城市规划、城市土地管理和生活质量评估中的一项实际工作。作为一个多维度的综合概念,城市绿色空间包含若干生态、社会经济和政策相关方面。在本文中,作者通过推导适应尺度、与政策相关的单元来推进城市绿色空间的表征。这些所谓的地理单元(geons)在空间明确的表征中,在特定的面积和同质性约束下代表着具有统一绿色价值评估的区域。该研究伴随着奥地利萨尔茨堡市市政当局使用光学卫星数据开展的一项常规监测计划。它分两个阶段进行,即SBG_QB(10.2平方公里,2005年的快鸟数据)和SBG_WV(140平方公里,2010年的WorldView - 2数据),在萨尔茨堡的功能城市区域内。地理单元的划定通过多种定量措施和空间分析技术以及地面记录(包括全景照片和目视解译)进行了验证。通过计算具有递增搜索距离的全局莫兰指数(Global Moran's I)来评估空间关联模式。由1083个平均面积为13.5公顷的单元组成的最终地理单元景观通过空间指标进行了分析。最后,得出了不同类型功能地理单元的类别。概述了未来的研究路径以及对所述策略的改进。

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