首页> 外文会议>Asian conference on remote sensing;ACRS >UNDERSTANDING THERMAL FLUXES IN AND AROUND PUNE CITY USING REMOTELY SENSED DATA
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UNDERSTANDING THERMAL FLUXES IN AND AROUND PUNE CITY USING REMOTELY SENSED DATA

机译:使用远程传感数据了解和了解城市周围的热通量

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Soaring temperatures of cities due to urbanisation leading to possible formation of an Urban Heat Island (UHI) is becoming a growing concern for India, a developing country, with the 2nd highest population in the world. Pune is no exception to that. Over the last few decades, the increasing urban landscape of the Pune city has led to fluctuations in the daily temperatures and disturbance in the thermal fluxes. To understand the nature and the consequences of this phenomenon, it is imperative to study the temperature changes and come up with a model that can quantify these changes. Whereas numerous studies have made use of satellite images for UHI analysis, only a few of these have paid significant attention to the analysis of long term changes. Our research aims to study the temperature profile of Pune city with the help of the Landsat-7 satellite imagery. The Land Surface Temperature (LST) and Land Use Land Cover (LULC) data extracted from these images is compared to find the correlation between the two. We used Hilbert Huang Transform (HHT) for analysing trends across the North-South and East-West extent of the city. The results are then compared with the Vegetation, Impervious and Soil (VIS) classification of the cross section to identify the relation of the trend with the classification. The results obtained show that the areas with residential, industrial have an average surface temperature of around 46 °C. That is higher by 2-3 degree on an average (5-6 degree worst case) than immediate surrounding vegetated region - indicating mild urban heat island effect. But because of physical geography of the region the outermost surrounding is covered with barren land, dry grass open area etc. and have similar temperatures to that of core of the city. Thus the observations indicate very specific temperature variation along the North-South and East-West cross sections of the city.
机译:由于城市化导致城市温度飙升,导致可能形成城市热岛(UHI),对印度这个世界第二大人口的发展中国家而言,这一问题正日益引起人们的关注。浦那也不例外。在过去的几十年中,浦那城市景观的不断增加导致了每日温度的波动和热通量的扰动。为了了解这种现象的性质和后果,必须研究温度变化并提出可以量化这些变化的模型。尽管许多研究已经将卫星图像用于UHI分析,但是其中只有少数研究对长期变化的分析给予了极大的关注。我们的研究旨在借助Landsat-7卫星图像研究浦那市的温度曲线。比较从这些图像中提取的土地表面温度(LST)和土地利用土地覆盖(LULC)数据,以找到两者之间的相关性。我们使用希尔伯特·黄(Hilbert Huang)变换(HHT)来分析整个城市的南北和东西方向的趋势。然后将结果与横截面的植被,不透水和土壤(VIS)分类进行比较,以识别趋势与分类之间的关系。获得的结果表明,居住区,工业区的平均表面温度约为46°C。平均比周围的植被区平均高2-3度(最坏的情况是5-6度),这表明温和的城市热岛效应。但是,由于该地区的自然地理环境,最外面的环境被荒芜的土地,干草的开阔地带等覆盖着,并且温度与城市中心的温度相近。因此,观察结果表明沿城市的南北和东西剖面的温度变化非常明显。

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