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

机译:利用Landsat 8数据集评估Delhi城市热岛的月度变化

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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(UHI)效应是一种多级现象,即,它可能发生在不同尺寸,形状,强度和时间的城市内。作为气候事件,UHI在不同的时间尺度上获得特征变异。在本研究中,基于在1年6月至6月至6月期间收集的远程感测的数据和热数据,检查了不同时间尺度的德里表面UHI(SUHI)的时间和空间可变性。 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/封面的主要修改。德里陆地表面温度(LST)数据集是从Landsat 8 Oli / Tirs图像产生的。因此,将获得的数据与农村参考数据进行比较并相对于热场数据进行分析。使用这些LST地图,德里的平均苏海强度计算为全年3.86°C。计算出的苏柳在夏天在白天展示了高价值。还评估了LST和NDVI与NDVI之间的关系,其显示出具有强烈的负相关性,平均R值为-0.45。此外,德里地区中部地区和商业区几乎全年展示了热岛条件。本研究的结果表明,德里岛的月度变化与气候背景,局部气象条件和表面特征有关。

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