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首页> 外文会议>Conference on Remote Sensing and Space Technology for Multidisciplinary Research and Applications >A remote sensing study of urban heat island effect in Lanzhou City, Northwest China
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A remote sensing study of urban heat island effect in Lanzhou City, Northwest China

机译：西北兰州市城市热岛效应的遥感研究

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As a promising application, quantitative remote sensing of urban heat island (UHI) can facilitate our understanding of urban/suburban environment and its relationship with urbanization. This paper investigates the urban heat island effect of Lanzhou, China, a densely built up city in a valley, based on Landsat ETM+ image acquired on April 22, 2000, whose spatial resolution is fitly sufficient for measurement of some important environmental parameters. For better quantification, Land surface temperature (LST) was retrieved using the mono-window algorithm, vegetation fraction was derived using vegetation-impervious surface-soil spectral mixture model, and Normalized Difference Vegetation Index (NDVI) was also derived from the corrected image. Then the relationship between LST and NDVI as well as vegetation fraction was estimated. Results show that Lanzhou city's urban heat island effect is significant, which could be visually characterized by the spatial pattern, extent, heterogeneity and intensity of retrieved thermal properties and the maximum urban/suburban temperature difference approximately reaches 10K. Moreover, by analyzing urban composition, it is revealed that LST possessed a strong negative correlation with the vegetation abundance and suggested that vegetation is a key factor controlling the spatial distribution of land surface heat flux. Particularly, due to the scarcity of vegetation, some hotspots are bare soil distributing on suburban surrounding hill, the surface temperature of which is even slightly higher than downtown. These results can help us develop countermeasures to thermal environmental problems in urban areas.
机译：作为一个有前途的应用，城市热岛（UHI）的定量遥感可以促进我们对城市/郊区环境的理解及其与城市化的关系。本文调查了兰州，中国的城市热岛效应，基于2000年4月22日的Landsat ETM +图像的山谷浓密建立的城市，其空间分辨率是足以测量一些重要的环境参数的空间分辨率。为了更好的定量，使用单窗算法检索陆地温度（LST），使用植被的植被的表面 - 土壤光谱混合物模型来源植被级分，并且常规差异植被指数（NDVI）也来自校正的图像。然后估计LST和NDVI与NDVI之间的关系以及植被分数。结果表明，兰州市的城市热岛效果显着，可视化的空间图案，范围，异质性和检索热性能的强度，最大城市/郊区温度差大约达到10K。此外，通过分析城市组成，揭示了LST与植被丰富具有强烈的负相关性，并建议植被是控制陆地表面热通量的空间分布的关键因素。特别是，由于植被的稀缺性，一些热点是在周围山郊区的旁边分布的裸机，表面温度甚至略高于市中心。这些结果可以帮助我们对城市地区的热环境问题产生对策。

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