Publications

Mathew, A; Khandelwal, S; Kaul, N; Chauhan, S (2018). Analyzing the diurnal variations of land surface temperatures for surface urban heat island studies: Is time of observation of remote sensing data important?. SUSTAINABLE CITIES AND SOCIETY, 40, 194-213.

Abstract
Land surface temperature (LST) images show the nonexistence of surface urban heat island (SUHI) effect over Jaipur and Ahmedabad cities during the daytime, whereas a clear picture of SUHI effect during nighttime. But in Ludhiana, diurnal SUHI effect has been observed. Hence the contrast diurnal LST pattern of three cities in India has been analyzed in the study. The analysis indicates that nighttime images can be used for the analysis of SUHI effect over any area. The use of daytime images for this analysis depends on the surface cover and time of observation which may show a false temporary SUHI effect. Time of observation is very important for analyzing the efficacy of remote sensing data for diurnal LST variations for different land covers and SUHI studies. SUHI varies during the day, and it is more significant during the evening/night. Diurnal LST relationship at different time intervals with various land surface parameters like vegetation, built-up, soil, etc. has also been investigated in the present research. Various land surfaces play a significant role in the diurnal variations of LSTs. The study discusses the adequacy of the observation time, from the viewpoint of heat island measures strategies.

DOI:
10.1016/j.scs.2018.03.032

ISSN:
2210-6707