Evaluate the effect of land surface temperature in arid and semi-arid lands using potential remote sensing data and GIS techniques

Land surface temperature (LST) plays a significant role with respect to drought, vegetation and climate change. The main objective of this paper is to evaluate the effect of LST in some parameters and to carry out mapping using remote sensing data and geographic information system (GIS) techniques. Satellite imagery in Landsat series and meteorological data were utilised to achieve the aims of study. Normalised difference vegetation index (NDVI), soil moisture index (SMI), normalised difference water index (NDWI) and dry bare soil index (DBSI) were utilised to evaluate the effect of LST. The results shows that the relation between the indices and the LST was statistically significant (R2 = 0.2 and 0.3 p < 0.05, respectively). Both maximum and minimum temperatures affect vegetation cover and lead to bareness. The final outcomes shows that the remote sensing data proved to be a powerful tool for monitoring spatial and temporal changes in LST.