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Enormous amount of spatial data is being produced owing to the availability of cloud base technology such as geographic information, satellite imagery, and analysis remote sensing imagery. Land resources must be monitored, evaluated, and managed. Land cover classification based on remote sensing imagery is an important means to enable this. The aim of this research is the review of literature for classification of land cover features using machine learning techniques.doi:10.17577/ijertv9is060881 fatcat:i4d7xu7cwfgz7nrbyzu6tdr544