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A long-term seasonal analysis on the relationship between LST and NDBI using Landsat data

S. Guha,H. Govil,N. Gill,A. Dey

Published 2021 in Quaternary International

ABSTRACT

Abstract Urbanization is necessary for the worldwide rapidly growing population to achieve a better living standard. Change of land surface feature is the key consequence of urbanization and it promotes a rise of land surface temperature (LST). The present article analyzes the seasonal variability of LST-normalized difference built-up index (NDBI) relationship on various land surface in Raipur City of India by collecting sixty-four Landsat images of four specific seasons from 1991–92, 1995–96, 1999–00, 2004–05, 2009–10, 2014–15, and 2018–19. Land surface composition and seasonal difference noticeably affect the LST distribution and LST-NDBI correlation. The LST always builds positive correlation with NDBI. The post-monsoon season indicates the strongest (0.72) LST-NDBI correlation, followed by the monsoon (0.69), pre-monsoon (0.67), and winter (0.57). The LST-NDBI correlation is strong on green vegetation; strong to moderate on built-up and open land; and moderate on water bodies. This research work recommends that the environmentalists and urban planners should consider the remaining open spaces for a better ecological condition.

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