A Survey Report on Normalized Difference Vegetation Index (NDVI) Processing of Satellite Images

An improved method for the analysis of the satellite image based on normalized difference vegetation index NDVI is show cased in this paper. To find the spectral signature of different objects such as the vegetation index, land cover classification, concrete structure and road structure the multi-spectral remote sensing data method is used. the spatial distribution such as road, urban area, agriculture land and water resources which can be easily interpreted by computing their normalized difference vegetation index are exploited and explored for land cover classification. For generating the false color composite of the classified objects, various values of threshold of NDVI are used. According to simulation result, normalized difference vegetation index is highly useful to detect surface features of the visible area which is highly useful for management and municipal planning.