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Identifying urban vegetation stress factors based on open access remote sensing imagery and field observations

机译:基于开放式遥感图像和现场观测确定城市植被应力因素

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Healthy vegetation in cities provides ecosystem services, which contribute to the overall well-being of urban populations, especially in times of climate change and increasing urbanization. More specifically, vegetation monitoring is needed in the context of intensifying and mitigating factors of the Urban Heat Island (UHI) effect. Therefore, fast and low-cost, but reliable approaches are needed for monitoring the status of urban greening. A satellite-based monitoring scheme based on freely available data could ensure the provision of key urban ecosystem services, and guide both policy maker and practitioners. Thus, the main objective of this paper is to investigate the impact of urbanization and urban green management on vegetation status of park trees during summer season in Bucharest, the capital city of Romania, using remote sensing. This city is known to be affected by air pollution and the UHI effect. Further, it is an example of a city with limited green spaces compared to other European cities. Hence, spatial data on vegetation status and potential impacts as a basis for management schemes are required to maintain a healthy urban green infrastructure. Vegetation indices related to chlorophyll, senescence, greenness and water stress were calculated from Sentinel-2 imagery as response variables to vegetation stress. Vegetation status was then predicted for each park using spatial environment factors (e.g. presence of irrigation systems) in a mixed model approach to account for heterogeneity among parks. The most important predictors of vegetation stress were irrigation systems, land surface temperature, distance to a lake and proximity to roads. However, the effect of these predictors on the vegetation status differed among parks. Therefore, a mixed effect model approach is suggested to quantify the effects of urbanization on green spaces in cities, and there is a high potential to use freely available satellite data for a spaceborne-monitoring service of urban green infrastructure.
机译:城市的健康植被提供生态系统服务,这有助于城市群体的整体福祉,特别是在气候变化和增加城市化时期。更具体地,在城市热岛(UHI)效应的强化和减轻因素的背景下需要植被监测。因此,监测城市绿化现状所需的快速和低成本,但可靠的方法需要。基于自由数据的基于卫星的监控方案可以确保提供关键城市生态系统服务,并指导政策制定者和从业者。因此,本文的主要目的是调查城市化和城市绿色管理对夏季在布加勒斯特,罗马尼亚首都罗马尼亚布加勒斯特的植被状态的影响。众所周知,这个城市受到空气污染和紫外线影响的影响。此外,与其他欧洲城市相比,它是绿色空间有限的城市的一个例子。因此,需要有关植被状况及潜在影响的空间数据,以维持健康的城市绿色基础设施。与叶绿素,衰老,绿色和水胁迫有关的植被指数由Sentinel-2图像计算为植被应激的响应变量计算。然后使用空间环境因子(例如灌溉系统的存在)预测每个公园的植被状况,以混合模型方法来解释公园之间的异质性。植被压力最重要的预测因子是灌溉系统,陆地表面温度,到达湖泊的距离和对道路的附近。然而,这些预测因子对植被状态的影响在公园之间不同。因此,建议混合效果模型方法量化城市化对城市绿色空间的影响,并且有很大的潜力来利用城市绿色基础设施的空间监测服务自由可用的卫星数据。

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