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Reflectance and thermal properties of the urban fabric studied with aerial spectral imaging

机译:使用空中光谱成像研究的城市织物的反射率和热性质

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The properties of materials used in the urban fabric play an essential role to the microclimate. Their thermal performance, one of the main impacting factors to urban heat island effects, is mainly determined by the physical characteristics, optical and thermal. The present research approach aims at analyzing the relation between material properties and their thermal behavior using airborne multispectral imaging in VIS/NIR and IR with sensors mounted on Unmanned Aerial Vehicle (UAV), at a survey in Athens. The images have been combined to form maps of surface temperature distribution and of material properties. Normalized Differential Vegetation Index (NDVI) maps were computed from the VIS/NTR images and were used to classify the surface material. Calibration of the temperatures was obtained by applying correct emissivity for different materials from the classified surface material map. Maps of estimated albedo and of apparent thermal inertia were derived from the VIS/NIR images and the temperature images. Combining the surface temperature maps with maps of NDVI, albedo and apparent thermal inertia makes it is possible to identify reflectance characteristics of a variety materials utilized in the urban setting in Athens and to relate these to their thermal properties. The applied multisensory technique demonstrates how novel advances in sensor development combined with advanced data analysis provide new and unique tools for urban climate studies. The results give new perspectives of urban features for revealing the complex mechanisms that lead to microclimatic modifications and to quantify their relative contribution.
机译:城市面料中使用的材料的性质在微气密发挥着重要作用。它们的热性能是城市热岛效应的主要影响因素之一,主要由物理特性,光学和热量决定。本研究方法旨在分析材料特性与其在雅典无人航空公司(UAV)上的VIS / NIR和IR中的空气多光谱成像之间的材料性能与其热行为的关系。已经组合了图像以形成表面温度分布和材料特性的地图。从VIS / NTR图像计算归一化差分植被指数(NDVI)映射,并用于分类表面材料。通过从分类的表面材料图对不同材料施加正确的发射率来获得温度的校准。估计的Albedo和表观热惯性的地图源自VI / NIR图像和温度图像。将表面温度图与NDVI,Albedo和表观热惯性图组合,使得可以识别在雅典中城市环境中使用的各种材料的反射特性,并将这些与其热性能相关联。所应用的多误解技术演示了传感器开发的新推进联合高级数据分析为城市气候研究提供了新的和独特的工具。结果为城市特征提供了新的观点,揭示了导致微跨越式修改和量化其相对贡献的复杂机制。

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