Agriculture change detection model using remote sensing images and GIS: Study area Vellore

Changes in the vegetation of any geographic area is seen constantly. In order to ensure the preservation of these agricultural characteristics, the changes are detected to build knowledge base. This research aims at calculating the agricultural changes near Vellore district using LANDSAT and images taken from 2003-2009. SVM classification is the method used for obtaining the results.