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Understanding the Impact of Urbanization on Surface Urban Heat Islands—A Longitudinal Analysis of the Oasis Effect in Subtropical Desert Cities

机译:理解城市化对地表热岛的影响—对亚热带沙漠城市绿洲效应的纵向分析

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We quantified the spatio-temporal patterns of land cover/land use (LCLU) change to document and evaluate the daytime surface urban heat island (SUHI) for five hot subtropical desert cities (Beer Sheva, Israel; Hotan, China; Jodhpur, India; Kharga, Egypt; and Las Vegas, NV, USA). Sequential Landsat images were acquired and classified into the USGS 24-category Land Use Categories using object-based image analysis with an overall accuracy of 80% to 95.5%. We estimated the land surface temperature (LST) of all available Landsat data from June to August for years 1990, 2000, and 2010 and computed the urban-rural difference in the average LST and Normalized Difference Vegetation Index (NDVI) for each city. Leveraging non-parametric statistical analysis, we also investigated the impacts of city size and population on the urban-rural difference in the summer daytime LST and NDVI. Urban expansion is observed for all five cities, but the urbanization pattern varies widely from city to city. A negative SUHI effect or an oasis effect exists for all the cities across all three years, and the amplitude of the oasis effect tends to increase as the urban-rural NDVI difference increases. A strong oasis effect is observed for Hotan and Kharga with evidently larger NDVI difference than the other cities. Larger cities tend to have a weaker cooling effect while a negative association is identified between NDVI difference and population. Understanding the daytime oasis effect of desert cities is vital for sustainable urban planning and the design of adaptive management, providing valuable guidelines to foster smart desert cities in an era of climate variability, uncertainty, and change.
机译:我们量化了土地覆盖/土地利用(LCLU)变化的时空格局,以记录和评估五个亚热带炎热亚热带沙漠城市(以色列比尔谢瓦,中国和田,印度焦特布尔,印度的焦特布尔)的白天地表城市热岛(SUHI)。埃及的喀尔加;以及美国内华达州的拉斯维加斯)。使用基于对象的图像分析,获取了顺序的Landsat图像并将其分类为USGS 24类土地使用类别,总体精度为80%至95.5%。我们估算了1990年,2000年和2010年6月至8月所有可用Landsat数据的地表温度(LST),并计算了每个城市的平均LST和归一化植被指数(NDVI)的城乡差异。利用非参数统计分析,我们还研究了夏季LST和NDVI中城市规模和人口对城乡差异的影响。在所有五个城市中都观察到城市扩张,但是城市化模式因城市而异。在过去的三年中,所有城市都存在负的SUHI效应或绿洲效应,并且随着城乡NDVI差异的增加,绿洲效应的幅度趋于增加。观察到和田和喀尔加邦的绿洲效应很强,NDVI差异明显大于其他城市。大城市的降温效果往往较弱,而NDVI差异与人口之间存在负相关关系。了解沙漠城市的白天绿洲效应对于可持续的城市规划和适应性管理的设计至关重要,为在气候多变,不确定性和变化的时代培育智慧的沙漠城市提供了宝贵的指导。

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