Geospatial Analysis of the Relationship Between Land Surface Temperature and Land Use/Land Cover indices: A Study of Raiganj Municipality, West Bengal, India

Abstract

The present study is focused on estimation of Land Surface Temperature (LST) and its relationship with three Land Use and Land Cover (LULC) indices--Normalised Difference Vegetation Index (NDVI), Normalised Difference Water Index (NDWI), and Normalised Difference Built-up Index (NDBI) in Raiganj Municipality, India.  Landsat-5 TM (2001 & 2011) and Landsat-8 OLI (2021) satellite images were used, processed and analysed in the ArcGIS.  The study observed that the values of LST and NDBI were increased by +0.9˚C and +0.71 and the values of NDVI and NDWI were decreased by -0.20 and -0.34 during 2001-2021.  Highest LST is observed over the built-up spaces and lowest over vegetation cover and water bodies.  Result indicates LST has a significant positive correlation with NDBI and negative correlation with NDVI and NDWI.  LST is increased due to dramatic changes in LULC specially in unplanned infrastural developmmet and losses in green and blue spaces.