CSEIT1952113 | Received : 08 March 2019 | Accepted : 20 March 2019 | March-April -2019 [ 5 (2) : 483-487 ] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2019 IJSRCSEIT | Volume 5 | Issue 2 | ISSN : 2456-3307 DOI : 10.32628/CSEIT1952113 483 An Adroit Detection of Vegetation Index Covered in Remote Sensing Images Dr. D. Napoleon 1 , M. Sivaranjani 2 , R. Saikumar 3 1 Assistant Professor, Department of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India 2,3 Research Scholar, Department of Computer Science, Bharathiar University, Coimbatore, Tamil Nadu, India ABSTRACT Detecting the vegetation of land covers with plants and so are determined with the help of image using image processing. Image processing is a common technique which can be used in the field of remote sensing. The presence of vegetation has been detected from an image which can be captured and recorded from the ground to detect the presence of vegetation in a particular region. In this paper, the presence of vegetation covering the land by plants and most biotic elements of biosphere have been detected from the particular region through an image. There are number of researches using the method of vegetation detection are using NIR images which can be particularly suitable for detecting vegetation. Our method uses the features of an image from the visible spectrum of color satellite images. Main intention is to identify the texture feature set for the problematic in vegetation detection. The detection of vegetation is implemented using an algorithm called Normalised Difference Vegetation Index (NDVI). Keywords : Image Analysis, Remote Sensing Images, NDVI, NIR and Vegetation Detection. I. INTRODUCTION Detection and analysis of vegetation from an image is considered very important in the field of remote sensing, where it has been used for detecting green regions on the earth and detecting changes caused by urbanization. It may be used to detect the changes occurring in an environment decade by decade. The suggested technique can be implemented with the multi spectral remote sensing to find the spectral marks of different object such as vegetation index, land cover classification and the spatial distribution such as road, urban area, agriculture land and water resources easily taken by computing their NDVI method. The classified object can be calculated with the help of generating different threshold value of NDVI method by detecting the false colour composite. The results show the NDVI method is significantly useful for detecting the surface of the visible area. The multispectral remote sensing images carry essential integrating spectral and spatial features of an objects. In this proposed system, the satellite image has been taken to detect the vegetation covering the land, water bodies, land cover classification and to subsequently make these extracted features for further analysis in order to avoid any sort of natural disasters like flood. There are two types of generic sensors that are for collecting an information, named as passive and active remote sensing. The passive remote sensing is used for collecting all the satellite information and sun is only one of the sources of energy, which is used to record how much amount of electro-magnetic radiation that is reflected or emitted from the earth's surface. Where the