Land surface temperature and spectral indices: A seasonal study of Raipur City

查看全文 作　　者：Subhanil [1]Guha;Himanshu [1]Govil;Ajay Kumar [2]Taloor;Neetu [3]Gill;Anindita [4]Dey

机构地区：[1]Department of Applied Geology,National Institute of Technology Raipur,India;[2]Department of Remote Sensing&GIS,University of Jammu,India;[3]Chhattisgarh Council of Science and Technology,Raipur,India;[4]Department of Geography,Nazrul Balika Vidyalaya,Guma,West Bengal,India

出　　处：《Geodesy and Geodynamics》索引2022年第13卷第1期,共11页

摘　　要：This case study evaluates the seasonal variability of the Pearson's linear correlation coefficient of land surface temperature(LST)with some spectral indices like NDVI,NDWI,NDBI,and NDBaI by using a series of Landsat images for 1991-92,1995-96,1999-00,2004-05,2009-10,2014-15,and 2018-19.The results from the average correlation of the entire period of all-season show that the LST builds a positive correlation with NDBI(0.71)and NDBaI(0.52)while it builds a negative correlation with NDVI(-0.44).The LST-NDWI correlation is insignificant.The best correlation is noticed in the post-monsoon period,while the least correlation is observed in the winter season.This study can support the environmental planning to build a sustainable city under a similar environment. 关键词：Land surface temperature(LST) NDVI NDWI NDBI NDBaI

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Land surface temperature and spectral indices: A seasonal study of Raipur City

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