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Assessment of monthly variations of Urban Heat Island in Delhi using Landsat 8 dataset

机译:使用Landsat 8数据集评估德里城市热岛的每月变化

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Urban Heat Island (UHI) effect is a multi-scaled phenomenon, i.e., it may occur within a city in different sizes, shapes, intensity and time. As a climatic event, UHI acquires characteristic variations at different temporal scales. In this study, the temporal and spatial variability of the Surface UHI (SUHI) over Delhi was examined for different temporal scales, based on remotely sensed data and thermal data collected during a time frame of 1-year, i.e., from June 2017 to June 2018. During the last few decades, Delhi has experienced unparalleled horizontal and vertical growth, leading to major modifications of land use/cover. Land Surface Temperature (LST) datasets of Delhi were generated from Landsat 8 OLI/TIRS imagery. LST data, thus, obtained was compared with rural reference data and analysed with respect to the thermal field data. Using these LST maps, average SUHI intensity over Delhi was calculated to be 3.86 °C for the whole year. The calculated SUHII showed high values in summer during the day than in winter. The relationship between LST and NDVI for each month was also assessed, which showed strong negative correlation with an average r value of -0.45. Furthermore, the Central Delhi Region and commercial areas displayed heat island conditions almost throughout the year. The results of this study suggest that the monthly variations of SUHI of Delhi are related with the climatic background, local meteorological conditions, and surface characteristics.
机译:城市热岛效应(UHI)是一种多尺度的现象,即它可能在城市中以不同的大小,形状,强度和时间出现。作为气候事件,UHI在不同的时间尺度上获取特征变化。在这项研究中,根据1年时间段(即2017年6月至6月)收集的遥感数据和热力数据,研究了德里上空的UHI(SUHI)的时空变化。 2018年。在过去的几十年中,德里经历了无与伦比的水平和垂直增长,导致土地使用/覆盖的重大变化。德里的地表温度(LST)数据集是根据Landsat 8 OLI / TIRS图像生成的。将由此获得的LST数据与农村参考数据进行比较,并针对热场数据进行分析。使用这些LST图,全年德里的平均SUHI强度经计算为3.86°C。计算得出的SUHII在夏季的白天显示高于冬季的数值。还评估了每月LST和NDVI之间的关系,该关系显示出强烈的负相关性,平均r值为-0.45。此外,中德里地区和商业区几乎整年都显示出热岛情况。这项研究的结果表明德里SUHI的每月变化与气候背景,当地气象条件和地表特征有关。

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