Landuse categories within a river’s catchment are one of the key factors to water quality changes worldwide. The water quality of Mudi river has been reported by various researchers to be deteriorating. The main objective of this study was to assess the impact of landuse on water quality using GIS and RS in Mudi river. Water samples were collected from seven sampling points along the selected Mudi river stretch in June 2021. The measured water quality parameters were compared to the WHO and MBS water quality recommendations. It was noted that PH, EC, turbidity and nitrates exceeded the WHO and MBS recommendations in some of the sample stations. TDS was below the recommendations in all the seven sample stations. The Kriging interpolation technique was used to determine the spatial variation or distribution of the measured water quality parameters in the un sampled areas and the results indicated that most water quality parameters increase in concentration as the river flows downstream. The watersheds based on the sample points were delineated using the hydrological toolset which is under spatial analyst tool in ArcMap 10.8. The downloaded land use TIF was thus added in ArcMap, clipped and classified into three distinct land use categories namely built-up area, cropland and forestland. This enabled the determination of land use categories associated with each delineated watershed. Using excel, the correlation analysis between the landuse categories in the watersheds and the measured water quality parameters was carried out. The results of the analysis showed that there was a positive correlation between the measured water quality parameters and the land use categories within the watersheds. Based on the water quality results, it was concluded that the water quality parameters that exceeded the WHO and MBS recommendations are the ones that may lead to deterioration of the water quality in Mudi River. The results of the correlation analysis also lead to a conclusion that land use categories within a river’s catchment area have an impact on the quality of water within that river. The study recommended continuous monitoring of Mudi river using Geospatial technologies such as GIS to determine the status of the water.