The study aims to determine how changes in land cover and surface water are being made using stratified object-oriented analysis based on the interpretation of remote sensing images. It is the first step toward managing the region's annual land-use inventories. The study uses Sentinel-2 images from 2019 through 2021 to delineate the changing urban land cover in Ninh Kieu District, Can Tho City, Viet Nam. The study used QGIS software to interpret the images and eCognition software to classify the objects based on the NDBI, NDVI, and NDWI indices. The interpretation results were checked for reliability, and the land cover was changed over the years. The results show that urban land cover changes with the increase of urban land and the decrease of vegetation land used for urban land, while water surface area inwards decreased from 2019 to 2020 but increased in 2021. Maps of the current state of the urban land covers in the study area were delineated. The interpretation results contribute to the premilitary method by using satellite images for the annual land use inventory in the region, even though some difficulties still exist and need to be modified.