Inferring 2D Local Surface-Deformation Velocities Based on PSI Analysis of Sentinel-1 Data: A Case Study of Öræfajökull, Iceland

Jirathana Dittrich; Daniel Hölbling; Dirk Tiede; Þorsteinn Sæmundsson

doi:10.3390/rs14133166

Inferring 2D Local Surface-Deformation Velocities Based on PSI Analysis of Sentinel-1 Data: A Case Study of Öræfajökull, Iceland

Jirathana Dittrich, Daniel Hölbling, Dirk Tiede, Þorsteinn Sæmundsson

Faculty of Life and Environmental Sciences

University of Iceland

Research output: Contribution to journal › Article › peer-review

Abstract

Two-dimensional deformation estimates derived from Persistent Scatterer Interferometric (PSI) analysis of Synthetic Aperture Radar (SAR) data can improve the characterisation of spatially and temporally varying deformation processes of Earth’s surface. In this study, we examine the applicability of Persistent Scatterer (PS) Line-Of-Sight (LOS) estimates in providing two-dimensional deformation information, focusing on the retrieval of the local surface-movement processes. Two Sentinel-1 image stacks, ascending and descending, acquired from 2015 to 2018, were analysed based on a single master interferometric approach. First, Interferometric SAR (InSAR) deformation signals were corrected for divergent plate spreading and the Glacial Isostatic Adjustment (GIA) signals. To constrain errors due to rasterisation and interpolation of the pointwise deformation estimates, we applied a vector-based decomposition approach to solve the system of linear equations, resulting in 2D vertical and horizontal surface-deformation velocities at the PSs. We propose, herein, a two-step decomposition procedure that incorporates the Projected Local Incidence Angle (PLIA) to solve for the potential slope-deformation velocity. Our derived 2D velocities reveal spatially detailed movement patterns of the active Svínafellsjökull slope, which agree well with the independent GPS time-series measurements available for this area.

Original language	English
Article number	3166
Journal	Remote Sensing
Volume	14
Issue number	13
DOIs	https://doi.org/10.3390/rs14133166
Publication status	Published - 1 Jul 2022

Bibliographical note

Funding Information: Funding: This research was funded by the Austrian Science Fund (FWF) through the project MORPH (Mapping, monitoring and modelling the spatio-temporal dynamics of land surface morphology; FWF-P29461-N29). Open Access Funding by the Austrian Science Fund (FWF). Funding Information: This research was funded by the Austrian Science Fund (FWF) through the project MORPH (Mapping, monitoring and modelling the spatio-temporal dynamics of land surface morphology; FWF-P29461-N29). Open Access Funding by the Austrian Science Fund (FWF). The research team cordially thanks Benedikt G. Ófeigsson from the Icelandic Meteorological Office (IMO) for providing technical information and consultation on the 3D GPS time-series data used for validation purposes, and the German Aerospace Center (DLR) for granting the use of the TerraSAR-X datasets (under proposal nr. GEO3590) in the comparative study to Sentinel-1 data. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Other keywords

2D velocity
Iceland
Persistent Scatterer Interferometry (PSI)
Sentinel-1
ellipsoid incidence angle
local deformation
projected local incidence angle
slope deformation

Access to Document

10.3390/rs14133166

Cite this

@article{b588c4d16eb548998e9bde045f7b3833,

title = "Inferring 2D Local Surface-Deformation Velocities Based on PSI Analysis of Sentinel-1 Data: A Case Study of {\"O}r{\ae}faj{\"o}kull, Iceland",

abstract = "Two-dimensional deformation estimates derived from Persistent Scatterer Interferometric (PSI) analysis of Synthetic Aperture Radar (SAR) data can improve the characterisation of spatially and temporally varying deformation processes of Earth{\textquoteright}s surface. In this study, we examine the applicability of Persistent Scatterer (PS) Line-Of-Sight (LOS) estimates in providing two-dimensional deformation information, focusing on the retrieval of the local surface-movement processes. Two Sentinel-1 image stacks, ascending and descending, acquired from 2015 to 2018, were analysed based on a single master interferometric approach. First, Interferometric SAR (InSAR) deformation signals were corrected for divergent plate spreading and the Glacial Isostatic Adjustment (GIA) signals. To constrain errors due to rasterisation and interpolation of the pointwise deformation estimates, we applied a vector-based decomposition approach to solve the system of linear equations, resulting in 2D vertical and horizontal surface-deformation velocities at the PSs. We propose, herein, a two-step decomposition procedure that incorporates the Projected Local Incidence Angle (PLIA) to solve for the potential slope-deformation velocity. Our derived 2D velocities reveal spatially detailed movement patterns of the active Sv{\'i}nafellsj{\"o}kull slope, which agree well with the independent GPS time-series measurements available for this area.",

keywords = "2D velocity, Iceland, Persistent Scatterer Interferometry (PSI), Sentinel-1, ellipsoid incidence angle, local deformation, projected local incidence angle, slope deformation",

author = "Jirathana Dittrich and Daniel H{\"o}lbling and Dirk Tiede and {\TH}orsteinn S{\ae}mundsson",

note = "Funding Information: Funding: This research was funded by the Austrian Science Fund (FWF) through the project MORPH (Mapping, monitoring and modelling the spatio-temporal dynamics of land surface morphology; FWF-P29461-N29). Open Access Funding by the Austrian Science Fund (FWF). Funding Information: This research was funded by the Austrian Science Fund (FWF) through the project MORPH (Mapping, monitoring and modelling the spatio-temporal dynamics of land surface morphology; FWF-P29461-N29). Open Access Funding by the Austrian Science Fund (FWF). The research team cordially thanks Benedikt G. {\'O}feigsson from the Icelandic Meteorological Office (IMO) for providing technical information and consultation on the 3D GPS time-series data used for validation purposes, and the German Aerospace Center (DLR) for granting the use of the TerraSAR-X datasets (under proposal nr. GEO3590) in the comparative study to Sentinel-1 data. Publisher Copyright: {\textcopyright} 2022 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2022",

month = jul,

day = "1",

doi = "10.3390/rs14133166",

language = "English",

volume = "14",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "13",

}

TY - JOUR

T1 - Inferring 2D Local Surface-Deformation Velocities Based on PSI Analysis of Sentinel-1 Data

T2 - A Case Study of Öræfajökull, Iceland

AU - Dittrich, Jirathana

AU - Hölbling, Daniel

AU - Tiede, Dirk

AU - Sæmundsson, Þorsteinn

N1 - Funding Information: Funding: This research was funded by the Austrian Science Fund (FWF) through the project MORPH (Mapping, monitoring and modelling the spatio-temporal dynamics of land surface morphology; FWF-P29461-N29). Open Access Funding by the Austrian Science Fund (FWF). Funding Information: This research was funded by the Austrian Science Fund (FWF) through the project MORPH (Mapping, monitoring and modelling the spatio-temporal dynamics of land surface morphology; FWF-P29461-N29). Open Access Funding by the Austrian Science Fund (FWF). The research team cordially thanks Benedikt G. Ófeigsson from the Icelandic Meteorological Office (IMO) for providing technical information and consultation on the 3D GPS time-series data used for validation purposes, and the German Aerospace Center (DLR) for granting the use of the TerraSAR-X datasets (under proposal nr. GEO3590) in the comparative study to Sentinel-1 data. Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/7/1

Y1 - 2022/7/1

N2 - Two-dimensional deformation estimates derived from Persistent Scatterer Interferometric (PSI) analysis of Synthetic Aperture Radar (SAR) data can improve the characterisation of spatially and temporally varying deformation processes of Earth’s surface. In this study, we examine the applicability of Persistent Scatterer (PS) Line-Of-Sight (LOS) estimates in providing two-dimensional deformation information, focusing on the retrieval of the local surface-movement processes. Two Sentinel-1 image stacks, ascending and descending, acquired from 2015 to 2018, were analysed based on a single master interferometric approach. First, Interferometric SAR (InSAR) deformation signals were corrected for divergent plate spreading and the Glacial Isostatic Adjustment (GIA) signals. To constrain errors due to rasterisation and interpolation of the pointwise deformation estimates, we applied a vector-based decomposition approach to solve the system of linear equations, resulting in 2D vertical and horizontal surface-deformation velocities at the PSs. We propose, herein, a two-step decomposition procedure that incorporates the Projected Local Incidence Angle (PLIA) to solve for the potential slope-deformation velocity. Our derived 2D velocities reveal spatially detailed movement patterns of the active Svínafellsjökull slope, which agree well with the independent GPS time-series measurements available for this area.

AB - Two-dimensional deformation estimates derived from Persistent Scatterer Interferometric (PSI) analysis of Synthetic Aperture Radar (SAR) data can improve the characterisation of spatially and temporally varying deformation processes of Earth’s surface. In this study, we examine the applicability of Persistent Scatterer (PS) Line-Of-Sight (LOS) estimates in providing two-dimensional deformation information, focusing on the retrieval of the local surface-movement processes. Two Sentinel-1 image stacks, ascending and descending, acquired from 2015 to 2018, were analysed based on a single master interferometric approach. First, Interferometric SAR (InSAR) deformation signals were corrected for divergent plate spreading and the Glacial Isostatic Adjustment (GIA) signals. To constrain errors due to rasterisation and interpolation of the pointwise deformation estimates, we applied a vector-based decomposition approach to solve the system of linear equations, resulting in 2D vertical and horizontal surface-deformation velocities at the PSs. We propose, herein, a two-step decomposition procedure that incorporates the Projected Local Incidence Angle (PLIA) to solve for the potential slope-deformation velocity. Our derived 2D velocities reveal spatially detailed movement patterns of the active Svínafellsjökull slope, which agree well with the independent GPS time-series measurements available for this area.

KW - 2D velocity

KW - Iceland

KW - Persistent Scatterer Interferometry (PSI)

KW - Sentinel-1

KW - ellipsoid incidence angle

KW - local deformation

KW - projected local incidence angle

KW - slope deformation

UR - https://www.scopus.com/pages/publications/85133698470

U2 - 10.3390/rs14133166

DO - 10.3390/rs14133166

M3 - Article

SN - 2072-4292

VL - 14

JO - Remote Sensing

JF - Remote Sensing

IS - 13

M1 - 3166

ER -

Inferring 2D Local Surface-Deformation Velocities Based on PSI Analysis of Sentinel-1 Data: A Case Study of Öræfajökull, Iceland

Abstract

Bibliographical note

Other keywords

Access to Document

Fingerprint

Cite this