Soil moisture is highly variable in space and time, and it has nonlinear effects on a wide variety of environmental systems. Understanding the multiple hydrological processes, developing more accurate models of those processes, and applying those models to conservation planning all benefit greatly from a better characterization of temporal and geographic variability in soil moisture. Vegetation indices (VIs) are used to assess vegetative coverings objectively and subjectively through spectral observations. Vegetated areas' spectral responses are influenced by many factors, including vegetation and soil brightness, environmental influences, soil color, and moisture. This research looks into the soil adjusted indices SAVI and MSAVI for the city of Bristol in the United Kingdom and assesses them. The research area's Landsat 8 OLI is downloaded, and Bands 4 and 5 are processed in a geographic information system (GIS) to provide SAVI and MSAVI. The obtained values for the SAVI index are between -0.557 and 0.425, and the obtained values for the MSAVI index are between -1.183 and 0.441. The MSAVI is able to extract a thicker layer of vegetation than the SAVI. Similarly, MSAVI has revealed more non-vegetated locations compared to those extracted by SAVI. Since the MSAVI index provides reliable signals of land cover, it should be used in research applications. Technically, the work presents the GIS functionality of a raster calculator for processing Landsat 8 OLI data, and regionally, it adds to the studies of Bristol City.