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Mapping urban green infrastructure : a novel landscape-based approach to incorporating land-use and land-cover in the mapping of human-dominated systems

机译:绘制城市绿色基础设施图:一种基于景观的新颖方法,将土地利用和土地覆盖纳入人类主导的系统的绘制中

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摘要

Common approaches to mapping green infrastructure in urbanized landscapes invariably focus on measures of land-use or land-cover and associated functional or physical traits. However, such one-dimensional perspectives do not accurately capture the character and complexity of the landscapes in which urban inhabitants live. The new approach presented in this paper demonstrates how open-source, high spatial and temporal resolution data with global coverage can be used to measure and represent the landscape qualities of urban environments. Through going beyond simple metrics of quantity, such as percentage green and blue cover it is now possible to explore the extent to which landscape quality helps to unpick the mixed evidence presented in the literature on the benefits of urban nature to human well-being. Here we present a landscape approach, employing remote sensing, GIS and data reduction techniques, to map urban green infrastructure elements in a large UK city-region. Comparison with existing urban datasets demonstrates considerable improvement in terms of coverage and thematic detail. The characterisation of landscapes, using census tracts as spatial units, and subsequent exploration of associations with social-ecological attributes highlights the further detail which can be uncovered with the approach. For example, eight urban landscape types identified for the case study city exhibited associations with distinct socio-economic conditions accountable not only to quantities but also qualities of green and blue space. The identification of individual landscape features through simultaneous measures of land-use and land cover demonstrated unique and significant associations between the former and indicators of human health and ecological condition. The approach may therefore provide a promising basis for developing further insight into the processes and characteristics which affect human health and wellbeing in urban areas, both in the UK and beyond.
机译:在城市化景观中绘制绿色基础设施的通用方法总是将重点放在土地利用或土地覆盖以及相关功能或自然特征的度量上。但是,这样的一维视角不能准确地反映出城市居民所居住景观的特征和复杂性。本文介绍的新方法展示了如何使用具有全球覆盖范围的开源,高时空分辨率数据来衡量和代表城市环境的景观质量。通过超越简单的数量指标(例如绿色和蓝色覆盖率),现在可以探索景观质量在多大程度上有助于消除文献中有关城市自然对人类福祉的好处的混合证据。在这里,我们介绍一种景观方法,采用遥感,GIS和数据缩减技术来绘制英国大城市区域中的城市绿色基础设施要素。与现有城市数据集的比较表明,在覆盖范围和主题细节方面有相当大的改进。使用人口普查区域作为空间单位对景观进行刻画,以及随后对具有社会生态属性的关联的探索,突显了该方法可以揭示的更多细节。例如,为案例研究城市确定的八种城市景观类型表现出与独特的社会经济条件相关的关系,这些社会经济条件不仅对数量而且对绿色和蓝色空间的质量都有影响。通过同时测量土地利用和土地覆盖来确定单个景观特征,表明前者与人类健康和生态状况指标之间存在独特而重要的联系。因此,该方法可能为进一步深入研究影响英国及其他地区城市地区人类健康和福祉的过程和特征提供有希望的基础。

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