The management of natural resources and the observation of environmental changes now heavily rely on changes in land use and land cover. In the research region or Harda District, land cover mapping and monitoring were carried out to preserve the existing natural resources and to comprehend the reasons behind and effects of overusing soil, vegetation, and water resources. In this work, the LULC (Land Use/ Land Cover) via the Supervised classification method was employed on satellite data from the years 1995, 2005, 2015, and 2021. The area has been classified into seven major land cover/use classes, viz. Agriculture, Bare soil, Settlements, Vegetation, Shrubland/Scrubland, Grassland, and Waterbodies. Resultant LULC and overlay maps indicate a significant shift from Vegetation (29.54—1.9%) and Water class (2.33—1.44%) to Shrubland/Scrubland, Agriculture, Bare soil, and Settlements. For accuracy assessment, classification error matrix and Kappa analysis were done. Change detection between the four images for all the land use and land cover classes was computed. The most extensive land cover category of the district in the year 2021 is agricultural land, i.e., 67.01%. The second most extensive land cover category is shrubland, 27.31%. The waterbody area shows a significant difference in all years. The major change (27.31%) identified in the study was in the Shrubland area from 1995 to 2021. The overall accuracy of classification methodology is 89.71%, 89.00%, 85.50%, and 84.34%, and the Kappa coefficients are 0.82, 0.86, 0.78, and 0.58, respectively, for the images of years 1995–2021. This study is expected to facilitate policymakers, planners, and other associated development workers to adopt the best suitable land-use management strategies for the Harda District and also in Narmada River basin.