JIP_V3_N4_RP4 Quantifying Deformation And Predicting Volcanic Eruption From Sar Satellite Images Using Digital Elevation Model S. Muni Rathnam T. Ramashri Journal on Image Processing 2349-6827 3 4 26 37 Synthetic Aperture Radar (SAR), Digital Elevation Model (DEM), Satellite Images, Volcano Monitoring of volcanoes using satellite images is gaining ground due to multiple advantages it offer. Satellite based radars in the form of Synthetic Aperture Radar (SAR) imaging can be a potent tool in monitoring these volcanoes. Changes in morphologies of volcano due to various deformations have been identified as precursor for volcanic activity. The deformation that can happen prior to the volcanic éruption cane enable better prediction. It has been identified through numerous researches that very strong correlation has occured between volcanic eruption and deformation. This work exploits the correlation to analyse morphological changes in volcano by creation of Digital Elevation Model (DEM). In order to create DEM, SAR images has been employed and interferogram is completed with the help of a processing implemented using MATLAB. This approach which accounts for various phase noises can result in the generation of DEM, which can identify the deformation post and preeruptions giving us on correlation between eruption and deformation. October - December 2016 Copyright © 2016 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=8303