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  • International Journal of Engineering and Geosciences
  • Volume:6 Issue:3
  • Relationship between land surface temperature and normalized difference water index on various land ...

Relationship between land surface temperature and normalized difference water index on various land surfaces: A seasonal analysis

Authors : Subhanil GUHA, Himanshu GOVİL
Pages : 165-173
Doi:10.26833/ijeg.821730
View : 16 | Download : 8
Publication Date : 2021-10-15
Article Type : Research Paper
Abstract :The present study examines the seasonal relationship between land surface temperature insert ignore into journalissuearticles values(LST); and normalized difference water index insert ignore into journalissuearticles values(NDWI); on various land surfaces in Raipur City of India by using a series of Landsat images for four specific seasons since 1991-92. The LST is retrieved using the mono-window algorithm technique. The results show that the LST of the study area is noticeably affected by surface composition. The best correlation insert ignore into journalissuearticles values(correlation coefficient r = 0.42); between the LST and NDWI is achieved in the post-monsoon season, followed by the monsoon season insert ignore into journalissuearticles values(r = 0.33);, pre-monsoon season insert ignore into journalissuearticles values(r = 0.25);, and winter season insert ignore into journalissuearticles values(r = 0.04);. There is a moderate negative correlation insert ignore into journalissuearticles values(r = -0.49, -0.33, -0.31, and -0.25 in the pre-monsoon, monsoon, post-monsoon, and winter season, respectively); generated between the LST and NDWI on water bodies. On green vegetation, this LST-NDWI correlation is moderate positive insert ignore into journalissuearticles values(r = 0.67, 0.43, 0.50, and 0.25 in the pre-monsoon, monsoon, post-monsoon, and winter season, respectively);. On human settlement and barren land surface, the correlation is weak positive insert ignore into journalissuearticles values(r = 0.24, 0.21, 0.27, and 0.15 in the pre-monsoon, monsoon, post-monsoon, and winter season, respectively);. The output of the research work can be used in the town planning section of any urban agglomeration.
Keywords : Landsat, Land surface, LST, NDWI, Raipur

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