Indore, one of the cities in India's central region, is responsible for the sluggish but steady increase of the country's population and industrialisation. Three decades ago, the city's population and size were minimal. In recent years, however, Indore has assumed charge of the city's economic activity in order to assess the changes and determine the city's future planning. To achieve this objective, remotely sensed Landsat 8 pictures from 2014 and 2022 were used to detect changes. This study included both unsupervised and supervised classification methods, however the accuracy of the supervised classification algorithm is approximately 92.5 percent in 2014 and 90 percent in 2022. This outcome informs the formation of the change detection for what has changed. Keywords: Unsupervised classification, LULC, Indore.