Analytical study on the relationship between land surface temperature and land use/land cover indices

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Abstract

The present study focuses on the estimating land surface temperature (LST) of Raipur City in India emphasizing the urban heat island (UHI) and non-UHI inside the city boundary and their relationship with normalized difference vegetation index, normalized difference water index, normalized difference built-up index, and normalized multi-band drought index. The entire study has been performed on four multi-date Landsat 8 Operational Land Imager and Thermal Infrared Sensor images taken from four different seasons; pre-monsoon, monsoon, post-monsoon, and winter in the same year. The UHI has mainly been developed along the northern and southern periphery of the city. The range of LST in the common UHI for four different seasons varies between 25.72° C and 35.69° C. The results present the strongest correlation between LST and the land use/land cover indices in monsoon and post-monsoon images while winter and pre-monsoon images show a comparatively weak correlation.

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Guha, S., Govil, H., Gill, N., & Dey, A. (2020). Analytical study on the relationship between land surface temperature and land use/land cover indices. Annals of GIS, 26(2), 201–216. https://doi.org/10.1080/19475683.2020.1754291

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