Abstract This study focuses on time series analysis of land use and land cover (LULC) characteristics and its relationships with urban heat island (UHI) intensity in Bangkok Metropolitan area. The study is aimed at examining impact of LULC changes on the greenness and land surface temperature (LST) as well as the relationship of LST, LULC and Normalized difference vegetation index (NDVI). We consider the heat intensity, hot spot zones, and land use characteristics related hotspot areas. LULC classification based on satellite images taken by Landsat data in summer dates of 1991, 1997, 2005 and 2016, were classified into four LULC types: built up area; vegetation area; barren land; and surface water. UHI was studied by deriving LST based satellite images method using the thermal band of Landsat satellite in the same periods as of LULC classification. The results show that the built up area was approximately 30% in 1991, then, it was sharply increasing to approximately 55% of the total area in 2016. The changing trends of LST tend to be increasing while the value of NDVI with dense vegetation meaning tend to be declining over the study period. The significant negative correlation between LST and NDVI implied that the lower biomass can higher LST. UHI intensity was also continually rising from 11.91 °C in 1991 to 16.21 °C in 2016 leading to nearly 5 °C increase in Bangkok. High density of buildings, no vegetation areas and large area of concrete pavement are the most significant related to the hot spot areas.

中文翻译：

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与城市热岛强度相关的土地利用和土地覆盖变化的时间序列分析：以泰国曼谷都市区为例

摘要 本研究侧重于曼谷大都市区土地利用和土地覆盖（LULC）特征及其与城市热岛（UHI）强度关系的时间序列分析。本研究旨在检验LULC变化对绿度和地表温度（LST）的影响，以及LST、LULC和归一化差异植被指数（NDVI）之间的关系。我们考虑与热点区域相关的热强度、热点区域和土地利用特征。根据Landsat数据在1991年、1997年、2005年和2016年夏季日期拍摄的卫星影像，LULC分类分为四种LULC类型：建成区；植被面积；不毛之地; 和地表水。UHI 是通过使用与 LULC 分类相同时期的 Landsat 卫星的热波段推导基于 LST 的卫星图像方法来研究的。结果表明，1991年建成区面积约为30%，2016年急剧上升至总面积的55%左右。LST的变化趋势趋于增加，而植被茂密的NDVI值意味着在研究期间趋于下降。LST 和 NDVI 之间的显着负相关表明较低的生物量可以提高 LST。UHI 强度也从 1991 年的 11.91 °C 持续上升到 2016 年的 16.21 °C，导致曼谷升高了近 5 °C。高密度建筑、无植被区和大面积混凝土路面是与热点地区最显着的相关性。在研究期间，LST 的变化趋势趋于增加，而具有茂密植被意义的 NDVI 值趋于下降。LST 和 NDVI 之间的显着负相关表明较低的生物量可以提高 LST。UHI 强度也从 1991 年的 11.91 °C 持续上升到 2016 年的 16.21 °C，导致曼谷升高了近 5 °C。高密度建筑、无植被区和大面积混凝土路面是与热点地区最显着的相关性。在研究期间，LST 的变化趋势趋于增加，而具有茂密植被意义的 NDVI 值趋于下降。LST 和 NDVI 之间的显着负相关表明较低的生物量可以提高 LST。UHI 强度也从 1991 年的 11.91 °C 持续上升到 2016 年的 16.21 °C，导致曼谷升高了近 5 °C。高密度建筑、无植被区和大面积混凝土路面是与热点地区最显着的相关性。