Thermal infrared remote sensing of urban heat: Hotspots, vegetation, and an assessment of techniques for use in urban planning
Thermal infrared remote sensing of urban heat: Hotspots, vegetation, and an assessment of techniques for use in urban planning
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DOI：
10.1016/j.rse.2016.09.007
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发表时间：
2016-12-01
影响因子：
13.5
通讯作者：
Tapper, Nigel J.
中科院分区：
文献类型：
--
作者：
Coutts, Andrew M.;Harris, Richard J.;Tapper, Nigel J.
为了缓解城市高温区域（或“热点”），目前正在寻求相关建议和工具，以便为城市绿化相关的城市规划和决策提供信息。一种日益受到关注的潜在工具是利用热成像来识别热点，然而这依赖于一个假设，即地表温度（LST）模式与气温模式相符。本研究探讨了超高分辨率（VHR）、机载热红外（TIR）遥感数据在街区和街道尺度分辨率下识别热点的能力。因此，它评估了超高分辨率热红外遥感是否是城市规划和城市绿化决策的合适工具。与澳大利亚墨尔本的一个当地市政当局合作，在2012年2月温暖的夏季条件下获取了超高分辨率（0.5米）的白天和夜间热红外图像。我们发现超高分辨率热红外数据确实识别出了地表温度较高的位置，这些位置可优先进行城市绿化，然而在超高分辨率下，超高分辨率热红外数据无法识别热点，因为地表温度模式与高气温模式没有很强的相关性。当超高分辨率热红外数据聚合到较粗的分辨率时，由于更有把握认为地表温度高的区域确实代表气温热点，它可以在街区尺度上用于识别热点。植被比例的增加与白天和夜间地表温度的降低有关，这意味着城市绿化可用于缓解热点，并且在建筑物遮荫较少的宽阔、开阔街道应优先进行。虽然超高分辨率热红外遥感可能是一个有吸引力的选择，但本研究表明它不是一个有助于为城市规划和城市绿化决策提供信息的合适工具，因为获取、后处理和解读高质量产品的要求和成本对许多终端用户来说过高。我们建议那些寻求利用热成像来识别城市景观中热点的人，认真考虑更容易获取且更便宜的卫星遥感产品（如陆地卫星）。由超高分辨率热红外数据得出的地表温度可能在设计城市空间以提高人体热舒适度以及关注小范围感兴趣区域方面有用，但必须认识到数据的众多复杂性和局限性。（C）2016爱思唯尔公司。保留所有权利。
In order to mitigate areas of high urban air temperature (or 'hotspots'), advice and tools are currently being sought to help inform urban planning and decision making around urban greening. One potential tool receiving growing interest is the use of thermal imagery for identifying hotspots, however this relies on the assumption that patterns in land surface temperature (LST) coincide with patterns in air temperature. This study explores the capacity of very high resolution (VHR), airborne thermal infrared (TIR) remotely sensed data to identify hotspots at a neighbourhood and street scale resolution. As such it assesses whether VHR TIR remote sensing is an appropriate tool for urban planning and urban greening decision making. In partnership with a local municipality in Melbourne, Australia, VHR (0.5 m) daytime and night time TIR images were captured during warm summertime conditions in February 2012. We found that VHR TIR data certainly identified locations of high LST that could be prioritized for urban greening, however at very high resolutions, VHRTIR data could not identify hotspots because patterns in LST did not strongly correlate with patterns of high air temperature. When VHR TIR data was aggregated to a coarser resolution, it could be used at the neighbourhood-scale to identify hotspots due to greater confidence that areas of high LST do represent air temperature hotspots. Increased vegetation proportion was associated with a reduction in LST for both the day and night meaning urban greening can be used to mitigate hotspots and should be prioritized in wide, open streets where building shade is less. While VHR TIR remote sensing may be an attractive option, this study shows it is not a suitable tool to help inform urban planning and urban greening decision making as the capture, post-processing and interpretation requirements and costs of delivering a high quality product are prohibitive for many end users. We suggest that those seeking to use thermal imagery to identify hotspots in the urban landscape, strongly consider more accessible and cheaper satellite remote sensing products (such as Landsat). VHR TIR derived LST may be useful in designing urban spaces for improved human thermal comfort and focusing on a small region of interest, but the numerous complexities and limitations of the data must be recognized. (C) 2016 Elsevier Inc. All rights reserved.