Uncontrolled and fast rate of growth of population, industry, and deforestation causes a great change in Land Use and Land Cover (LULC) in developed and developing countries. Changes in LULC have become a vital aspect of conventional strategies for environmental monitoring. To conserve existing natural resources and better understand the causes and implications of soil and water resource overexploitation, a land cover mapping and change detection exercise was conducted in the research region, namely the Puri District, Odisha. Satellite photos from 1 January 2019 to 4 March 2020 were utilized to conduct a supervised classification of LULC (Land Use/Land Cover). Three different machine learning models are applied in this work to choose the best classifier which is Support Vector Machine (SVM). Then classified image of Puri was generated using SVM for the years 2002 and 2019 leads to analyse the change detection during this period. This change detection will definitely help the Government to execute legitimate approaches, rules and to take careful steps for the improvement of the city.