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  4. Concept to Analyze the Displacement Time Series of Individual Persistent Scatterers
 
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2021
Conference Paper
Titel

Concept to Analyze the Displacement Time Series of Individual Persistent Scatterers

Abstract
Persistent Scatterer Interferometry (PSInSAR) exploits a time series of Synthetic Aperture Radar (SAR) images to estimate the mean velocity with which the surface of the earth is deforming. However, most PSInSAR algorithms estimate the mean velocities using a linear regression model. Since some deformation phenomena can exhibit a more complex behavior over time, using a linear regression model leads to potentially wrong estimations for the mean velocity. For example, the velocity of a landslide moving down a steep slope can change depending on the water content of the material of the landslide, or an inactive landslide can reactivate due to an earthquake. Both scenarios would not result in a time series with a constant linear slope but in a piecewise linear time series. This paper presents a Matlab-based tool to analyze an individual Persistent Scatterer (PS) time series. The Persistent Scatterer Deformation Pattern Analysis Tool (PSDefoPAT) aims to build a mathematical model that sufficiently describes the time series trend and seasonal and noise components. The trend component is estimated using polynomial regression and piecewise linear models, while a sine function approximates the seasonal component. The goal is to identify the best fitting model for the displacement time series of a PS. PSDefoPAT is introduced by examine the time series of three different PS located in the region surrounding Patras, Greece. Based on the derived models, we discuss the nature of their deformation patterns.
Author(s)
Evers, Madeline
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Thiele, Antje
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Hammer, Horst
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Cadario, Erich
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Schulz, Karsten
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Hinz, S.
Hauptwerk
XXIV ISPRS Congress "Imaging today, foreseeing tomorrow", Commission III
Konferenz
International Society for Photogrammetry and Remote Sensing (ISPRS Congress) 2021
Thumbnail Image
DOI
10.5194/isprs-archives-XLIII-B3-2021-147-2021
Externer Link
Externer Link
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • Persistent Scatterer Interferometry

  • time series analysis

  • Surface Deformation Patterns

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