Determining the trend and examining land use changes is essential in managing watersheds. This study aims to investigate land use changes in the AB- Malayer watershed for the years 2001 and 2021 using Landsat images in the Google Earth Engine. The land use map was created by combining Landsat images with the MODIS land use product and applying the random forest classification algorithm. The analysis categorized the study area into five classes: grassland, cropland, forest, urban land, and barren land. In 2001, the land was primarily classified as grassland, cropland, and urban land. By 2021, the classifications expanded to include forest and barren land. The most significant change observed was in grassland, which decreased by 37.1%, while forest cover remained unchanged at 0%. Grassland primarily transitioned into agricultural land, accounting for a 6% change, whereas the smallest shift, 0.01%, involved conversion to savannah forests. Additionally, agricultural land experienced an 11.4% conversion to grassland, with the smallest change of 0.2% occurring towards savannah forests. The validation of the classification using the random forest algorithm yielded overall accuracy rates of 73% and 75%, and Kappa coefficients of 0.66 and 0.68 for the years 2001 and 2021, respectively. These results indicate a reliable land use classification for the study area.