Quantifying Deformation And Predicting Volcanic Eruption From SAR Satellite Images Using Digital Elevation Model

Volume 3 Issue 4 October - December 2016

Research Paper

Quantifying Deformation And Predicting Volcanic Eruption From SAR Satellite Images Using Digital Elevation Model

S. Muni Rathnam*, 0**

* Professor & HOD, Department of Electronics and Communication Engineering, Balaji Institute of Engineering and Management Studies, Andhra Pradesh, India.

** Professor, Department of Electronics and Communication Engineering, Sri Venkateswara University, Tirupati, India.

Rathnam, S. M., and Ramashri, T. (2016). Quantifying Deformation And Predicting Volcanic Eruption From SAR Satellite Images Using Digital Elevation Model. i-manager's Journal on Image Processing, 3(4), 26-37.

Abstract

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.