期刊
EGYPTIAN JOURNAL OF REMOTE SENSING AND SPACE SCIENCES
卷 22, 期 2, 页码 203-218出版社
ELSEVIER
DOI: 10.1016/j.ejrs.2018.05.004
关键词
Land use/land cover (LULC); Land surface temperature (LST); Urban heat island (UHI); Normalized difference vegetation index (NDVI); Normalized difference build-up index (NDBI); Normalized difference water index (NDWI)
Fast transformation of land use/land cover because of urban expansion profoundly influences biodiversity and ecosystem function, as well as local and regional climate. One of the more serious impacts of urbanization is the formation of urban heat island (UHI) effect. Asansol-Durgapur Development Region is the second largest urban identity in West Bengal just after Kolkata urban agglomeration. Rapid urban growth in Asansol-Durgapur Development Region has brought about fast transformation of LULC pattern which in turn significantly affect the LST. Fast transformation of land use and land cover pattern brought significant changes in LST. The study attempts to examine the influence of land use/land cover (LULC) on land surface temperature in Asansol-Durgapur Development Region by employing multi temporal satellite data. LST is extracted in three different phases seasonally (e.g. winter, summer and post-monsoon periods) by using LANDSAT 4-5 TM and LANDSAT 8 OLI over the period of 1993, 2009 and 2015. Results depict that LST increases 0.06 degrees C/year in winter and 0.43 degrees C/year in summer periods respectively and the difference of surface radiant temperature is significant over existing different LULC units. The result of the study revealed that the impervious surface, industrial area and coal mining area has high surface temperature (38 degrees C) and water bodies and vegetation cover has experienced low surface temperature (27 degrees C). The study also examined causality of association between LST and deriving factors such as NDVI, NDBI and NDWI. The result reveals that LST maximally controls by impervious surface (r = 0.95) than water bodies (r = 0.62) and vegetation cover (r = 0.61). (C) 2018 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据