Deformation Monitoring of Volcanic Eruption Using DInSAR Method
The high-resolution images provided by TerraSAR-X satellite is very much useful for the displacement monitoring of earth phenomenon. In this paper, a model is developed for the deformation monitoring of Kilauea volcano in Hawaii Island region. This deform
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Abstract The high-resolution images provided by TerraSAR-X satellite is very much useful for the displacement monitoring of earth phenomenon. In this paper, a model is developed for the deformation monitoring of Kilauea volcano in Hawaii Island region. This deformation monitoring is done with the help of differential interferometric synthetic aperture radar (DInSAR) algorithms. For this, a two-pass TerraSAR-X dataset of Hawaii region is used. The input master and slave images are preprocessed to remove speckle from the image, and then atmospheric correction is made to get the noise-free data. The preprocessed data are co-registered and then interferogram is calculated from this co-registered master and slave images. Phase unwrapping is performed to remove the multiple phase in the images. After that the vertical, horizontal, and LOS displacement is calculated. The results of the proposed model are validated with existing DInSAR method. Keywords SAR interferometry tion Monitoring Volcano
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⋅ Differential SAR interferometry ⋅ Deforma⋅ Coherence ⋅ Filtering ⋅ Phase unwrapping
1 Introduction Differential interferometric SAR is one of the powerful techniques for monitoring the displacement information of earth phenomenon such as earthquake, land slide, and volcanic eruption. But one-dimensional information is not enough to monitor
P. Saranya (✉) ⋅ K. Vani Department of Information Science and Technology, College of Engineering, Anna University, Chennai, India e-mail: [email protected] K. Vani e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 H.S. Behera and D.P. Mohapatra (eds.), Computational Intelligence in Data Mining, Advances in Intelligent Systems and Computing 556, DOI 10.1007/978-981-10-3874-7_68
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these activities. Therefore, three-dimensional information is used for the monitoring of deformation. Lot of research is going on for displacement modelling using differential SAR interferometry. DInSAR has become an important tool in remote sensing over the past years for the estimation of ground surface displacement based on time evolution. This technique is able to analyze large areas periodically at low cost and to monitor the changes even in the millimeter level [1–5]. DInSAR technique records change in distance between ground and sensor. It is based on the comparison of INSAR phases. The contribution of this work is to develop a DInSAR model for the deformation monitoring. In this paper, two interferograms are generated based on the difference in phases. One is between master and slave images and the other from digital elevation model (DEM) to reduce topographical error. After that the filtered interferogram is phase unwrapped to give a continuous measure of displacement in LOS region across the image by the global phase unwrapping algorithm [6]. Finally, differential interferogram is generated with respect to time series. Then the deformation is calculated in horizontal and vertical directions. The results of the proposed model are analyzed by compa
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