Spatiotemporal Analysis of Land Surface Temperature in Tainan City by using Landsat 5 & Landsat 8

Jurnal Geografi Pub Date : 2022-11-21 DOI:10.24114/jg.v15i1.37183

R. Rahmad, Zhiyu Gong, Zhaohui Yang, Meijun Guo‬‬

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Abstract

Taiwan is a subtropic-tropic island with densely populated in the coastal plains surrounding its mountains. In recent years, due to global warming and the urban heat island effect, the surface temperature has continued to rise, and the seasonal temperature changes are also very different. Increased surface temperatures, particularly in cities, are a major environmental issue that intensifies urban heat islands (UHIs). Decadal time-series analysis has historically relied on meteorological data. Due to the limited availability of remote sensing technology, decadal analysis of land surface temperature has been a serious concern. However, according to advanced technologies in remote sensing methods and sophisticated GIS software, Land Surface Temperature (LST) now can be estimated using thermal bands. The objective of this study is to monitor the spatiotemporal changes of the land surface temperature using Landsat 5 and Landsat 8. Tainan city, which is a highly developed city in southern Taiwan, is selected as the research area. The changes in the land surface temperature are assessed between the years 2007 and 2021. It simply requires applying a set of equations through a raster image calculator using ArcGIS. The LST of any Landsat satellite image can be retrieved by following steps: 1) Top of Atmospheric Spectral Radiance; 2) Conversion of Radiance to At-Sensor Temperature; 3) Calculating NDVI; 4) Calculating the Proportion of Vegetation; 5) Determination of ground emissivity, and 6) Calculating Land Surface Temperature. Near Infra-red are used to obtain Normalized Different Vegetation Index (NDVI). The results show that the average surface temperature of Tainan City increased slightly by 1.1 0C. The most significant increase in temperature was in the northern region of Tainan City which was the agricultural area that was in the post-harvest period.Keywords: Land Surface Temperature (LST), Landsat 5, Landsat 8, Tainan City, GIS

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基于Landsat 5和Landsat 8的台南市地表温度时空分析

台湾是一个亚热带岛屿，在其山脉周围的沿海平原上人口密集。近年来，由于全球变暖和城市热岛效应，地表温度持续上升，季节温度变化也有很大差异。地表温度的升高，特别是在城市，是加剧城市热岛(UHIs)的一个主要环境问题。十年时间序列分析历来依赖于气象数据。由于遥感技术的有限，地表温度的年代际分析一直是一个严重的问题。然而，根据先进的遥感技术和复杂的GIS软件，现在可以利用热带估算地表温度(LST)。本研究的目的是利用Landsat 5和Landsat 8卫星监测地表温度的时空变化。选取台南市作为研究区域，台南市是台湾南部经济高度发达的城市。评估了2007年至2021年间地表温度的变化。它只需要通过使用ArcGIS的光栅图像计算器应用一组方程。任何Landsat卫星图像的地表温度都可以通过以下步骤获取:1)大气光谱辐射顶部;2)辐射到传感器温度的转换;3) NDVI计算;4)植被比例计算;5)地表发射率的测定;6)地表温度的计算。利用近红外光谱得到归一化植被指数(NDVI)。结果表明:台南市地表平均温度略有上升1.1℃;气温上升最显著的是台南市北部地区，这是农业地区，处于收获后时期。关键词:地表温度，Landsat 5, Landsat 8，台南，GIS

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Jurnal Geografi

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审稿时长

24 weeks