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作 者:Subhanil Guha Himanshu Govil Ajay Kumar Taloor Neetu Gill Anindita 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》2022年第1期72-82,共11页大地测量与地球动力学(英文版)
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
分 类 号:X16[环境科学与工程—环境科学] P467[天文地球—大气科学及气象学]
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