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Climate Change in Cities - Can Remote Sensing Help to Optimise Mitigation Strategies?

机译:城市气候变化 - 可以遥感帮助优化缓解策略吗?

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Urban planners become more aware that climate change is likely to have influence on the liveability in cities. Therefore, the number of planning authorities increases that want to evaluate the climatic effects of urban developments. However, the information required to do so is often not easily available. Remote sensing data provides independent, area wide and up-to-date spatial information. Therefore, this contribution addresses the question if remote sensing techniques can help to optimise mitigation strategies for climate change in cities. Several parameters describing the urban climate can be directly mapped by remote sensing, such as albedo and surface temperature. However, the main use of remote sensing is expected in the mapping of the urban land cover and morphology. The urban climate is strongly influenced by the spatial characteristics of the city. Area wide maps of spatial parameters such as impervious surface or vegetation fraction can provide insight in expected climatologic situations because of the strong relationship of these spatial parameters to climate and humidity. Climate models, used to evaluate different planning scenarios, can make advantage of accurate spatial description of the area of interest. However, existing climate models will need adaptation to be able to use the remote sensing data.
机译:城市规划人员越来越意识到气候变化可能会对城市的居住能力产生影响。因此,规划当局的数量增加,希望评估城市发展的气候影响。但是,所需的信息通常不易使用。遥感数据提供独立的,区域广泛和最新的空间信息。因此,如果遥感技术可以有助于优化城市气候变化的缓解策略,这贡献解决了这个问题。描述城市气候的几个参数可以通过遥感直接映射,例如Albedo和表面温度。然而,在城市陆地覆盖和形态的映射中预期遥感的主要使用。城市气候受到城市空间特征的强烈影响。由于这些空间参数对气候和湿度的强大关系,地区可以在预期的气候情况下提供洞察力的空间参数的宽地图。用于评估不同的规划场景的气候模型可以利用对感兴趣领域的准确空间描述。但是,现有的气候模型需要适应能够使用遥感数据。

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