Authors : Mohini Motilal Alhat and Vijay Rajendra Sonawane
Page Nos : 150-154
Description :
This paper presents an enriched technique of Landsat 8 where used for the analysis of Normalized Difference Vegetation Index (NDVI). The method works the multi-spectral remote sensing data and GIS technique to catch spectral signature of different objects such as vegetation index, land cover classification, physical structure, settlement areas, rocky areas, crop areas and remaining areas presented in the image. For land cover classification, some band amalgamations of the remote sensed data are exploited and the spatial distribution such as settlement area, agriculture land and water resources are easily interpreted by computing their normalized difference vegetation index. Different standards of threshold of NDVI are used for producing the false colour composite of the classified objects. The model consequences show that the NDVI is highly useful in detecting the surface features of the visible area which are extremely beneficial for planning and management. The Akole tahsil is situated in hilly region and riches by biodiversity. The vegetation index used for current situation of tahsil.
