Land surface temperature (LST) is obtained from Landsat images using the widely used radiative transfer equation. The thermal and ecological conditions are evaluated by computing urban heat island (UHI) and urban thermal field variance index (UTFVI) from LST data. The influence of vegetation, built area, presence of waterbody, and bare soil on LST is examined using land cover indices through pixel-level multivariate linear regression analysis. (Ahmmed et al.,2021). Landsurface temperature (LST) is frequently used as an indicator for UHI and shows a positive correlation with the density of sealed surfaces while displaying a negative association with UGS (Aznarez et al., 2024; Rodríguez-Gómez et al., 2022). LST is used to quantify the extent and size of surface heat. LST is an integral variable in quantifying thermal hazard levels across cityscapes. Local topography, human activity, and specific urban heat island effects influence cities' dynamics and green spaces.
The methodology used for the creation of the datasets can be found in the "Extreme Heat Assessment 2020–2024 (methodology)" document below.
