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High spatial and temporal resolution Land Surface Temperature for surface energy fluxes estimation

机译:高时空分辨率陆地表面温度,用于估算表面能通量

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The study of urban climate and the estimation of urban energy fluxes requires frequent and accurate monitoring of land surface temperature (LST), at the local scale. Current and forthcoming space-borne sensors though, do not provide frequent thermal infrared imagery at high spatial and temporal resolution. In this study, a downscaling technique is applied for improving the spatial resolution of thermal infrared observations and the subsequent LST estimation. LST maps of 100 m spatial resolution multiple times per day were derived for three cities, London, United Kingdom, Basel, Switzerland and Heraklion, Greece. The maps were validated using radiation measurements from flux towers. The accuracy of the derived maps was also assessed using LST data from ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer).
机译:对城市气候的研究和对城市能量通量的估计需要在地方范围内频繁且准确地监测地表温度(LST)。但是,当前和即将到来的星载传感器在高时空分辨率下无法提供频繁的热红外图像。在这项研究中,降尺度技术被用于提高热红外观测的空间分辨率和随后的LST估计。每天从三个城市,伦敦,英国,瑞士巴塞尔和希腊的伊拉克利翁,获得每天多次100 m空间分辨率的LST地图。使用通量塔的辐射测量结果验证了这些图。还使用来自ASTER(先进的星载热发射和反射辐射仪)的LST数据评估了得出的地图的准确性。

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