Spatial and temporal evolution of ground deformation in coastal zone by multi-temporal inSAR

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Spatial and temporal evolution of ground deformation in coastal zone by multi-temporal inSAR

 

Author: Liang, Hongyu
Title: Spatial and temporal evolution of ground deformation in coastal zone by multi-temporal inSAR
Degree: M.Sc.
Year: 2014
Subject: Surfaces, Deformation of -- Monitoring.
Surfaces, Deformation of -- Remote sensing.
Synthetic aperture radar.
Hong Kong Polytechnic University -- Dissertations
Department: Faculty of Construction and Environment
Pages: x, 91 pages : illustrations (some color) ; 30 cm
InnoPac Record: http://library.polyu.edu.hk/record=b2759123
URI: http://theses.lib.polyu.edu.hk/handle/200/7572
Abstract: The coastal zone has been the important centre of population, economy and society development due to its rich natural resources and unique geographical location. There are almost 60% the world population living in coastal zone. However, it is also vulnerable to the hazards induced by natural processes and anthropogenic activities. In recent years, geological disasters, including earthquakes, landslides and subsidence, have frequently happened in this zone and caused great damage to the local inhabitant and economy. Therefore, it is vital to evaluate the tectonic and interseismic hazard potential in this densely populated zone. Synthetic Aperture Radar Interferometry (InSAR) provides a solution for the evaluation by measuring the surface deformation in the line-of-sight (LOS) direction of the satellite with sub centimeter accuracy and high spatial resolution. However, several error sources limit the accuracy of conventional InSAR measurements, such as decorrelation due to temporal and spatial decorrelation and atmospheric effect. It is especially true in coastal zone where complicated atmospheric delay and orbital inaccuracy can cause large scale error in the deformation measurements. In this research, we apply two multiple temporal InSAR (MTI) techniques to extract deformation information in the coastal zone located in the northern Taiwan, using 17 ALOS PALSAR images acquired from 2007 to 2010. We first use Stanford Method Persistent Scatterers (StaMPS) software package to perform the entire process. Then we program to achieve porting TCP-InSAR algorithm from GAMMA to DORIS platform. An improved method for coherence estimation is used to select Persistent Scatterers (PS). The results of two MTI methods compare well to each other. Their accuracy is verified by the local leveling observations as well as other geological reports. The comparison of results shows a coincidental pattern and enhances our confidence on multiple temporal InSAR technique.

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