LAND COVER CLASSIFICATION USING LANDSAT IMAGES, NORMALIZED DIFFERENCE VEGETATION INDEX IN VIJAYAWADA, A.P

The death rates are decreasing, and the population is growing on a daily basis, owing mostly to the advances of science and technology. This is increasing land exploitation for expansion, which is degrading the eminence of land every day and distorting the environment and foliage. Human activities on land usage ultimately have an influence on the environment spatially and temporarily. The leading role for land use/land cover (LULC) modification aimed at fulfilling the demand for expanding population by stepping up cultivation of edibles and void natural LC, such as the woodlands, as colonization and trade activities. The NDVI, a consequence perception method, is used to provide detailed content in perceiving and observing LULC effects. This paper provides information on changes to land cover in Vijayawada a city in Krishna district of Andhra Pradesh, in 2000, 2010 and 2020 using Landsat 8 images, and OLI and TIRS images. ArcGIS v10.4 is used to process satellite images and Land Cover changes are identified using NDVI. Versatile bands of Landsat images are used to produce the information of vegetation, water bodies, bare soil, and urban by calculating NDVI. The results revealed that dense vegetation decreased by around 28%, whereas vegetation, built-up and water expanded respectively by 10%, 23% and 1%, and increased kappa coefficient and overall accuracy (OA).