Retrieval of 3D-glacier movement by high resolution X-band SAR data

Nägler, Thomas; Rott, Helmut; Hetzenecker, Markus; Scharrer, K.; Magnússon, Eyjólfur; Floricioiu, Dana; Notarnicola, Claudia

doi:10.1109/igarss.2012.6350735

Cited by 19 publications

(16 citation statements)

References 4 publications

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“…Equation (2) regards the sign convention for offset tracking, where displacement towards the sensor yields negative values and displacement away from the sensor leads to positive values [41,42]. By combining ascending (index a ) and descending (index d ) results, we gain the following over-determined system of equations, which is solved by applying a standard least-squares estimation technique:…”

Section: Decomposition To 3d Velocitiesmentioning

confidence: 99%

Estimating Spatial and Temporal Variability in Surface Kinematics of the Inylchek Glacier, Central Asia, using TerraSAR–X Data

2014

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We use 124 scenes of TerraSAR-X data that were acquired in 2009 and 2010 to analyse the spatial and temporal variability in surface kinematics of the debris-covered Inylchek Glacier, located in the Tien Shan mountain range in Central Asia. By applying the feature tracking method to the intensity information of the radar data and combining the results from the ascending and descending orbits, we derive the surface velocity field of the glaciated area. Analysing the seasonal variations over the upper part of the Southern Inylchek branch, we find a temperature-related increase in velocity from 25 cm/d up to 50 cm/d between spring and summer, with the peak occurring in June. Another prominent velocity peak is observable one month later in the lower part of the Southern Inylchek branch. This area shows generally little motion, with values of approximately 5-10 cm/d over the year, but yields surface kinematics of up to 25 cm/d during the peak period. Comparisons of the dates of annual glacial lake outburst floods (GLOFs) of the proglacial Lake Merzbacher suggest that this lower part is directly influenced by the drainage, leading to the observed mini-surge, which has over twice the normal displacement rate. With regard to the GLOF and the related response of Inylchek Glacier, we conclude that X-band radar systems such as TerraSAR-X have a high potential for detecting and characterising small-scale glacial surface kinematic variations and should be considered for future inter-annual glacial monitoring tasks.Remote Sens. 2014, 6 9240

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Section: Decomposition To 3d Velocitiesmentioning

confidence: 99%

Estimating Spatial and Temporal Variability in Surface Kinematics of the Inylchek Glacier, Central Asia, using TerraSAR–X Data

2014

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“…Several approaches have been proposed for increasing sensitivity by combining overlapping displacement datasets. Techniques for resolving deformation in three dimensions (3D) for earthquakes and glaciers, such as azimuthal offsets (Fialko et al, 2001(Fialko et al, , 2005 and offset tracking (Nagler et al, 2012), show good results for deformation on the order of decimetres to metres yr -1 .…”

Section: Introductionmentioning

confidence: 99%

Relating 3D surface displacement from satellite- and ground-based InSAR to structures and geomorphology of the Jettan rockslide, northern Norway

Eriksen¹,

Bergh²,

Larsen³

et al. 2017

NJG

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This study combines remote sensing data from ground-and satellite-based radar to calculate 3D displacement vectors for the Jettan rockslide, Troms, northern Norway. Using 3D displacement vectors, aspect data and strain rates in conjunction with structure (foliation, faults, fractures), geomorphological elements (ridges, scarps, terraces, depressions), topography and borehole data, we identify zones undergoing displacement, e.g., extension and compression, displacement into-or out-of-the-slope and/or various degrees of tilting. Our results show variable 3D displacement velocities, from north to south, that segment the rockslide into distinct domains. Displacement patterns are structurally controlled, as spatial variation in azimuth and plunge of 3D displacement vectors can be related to variation in attitudes of the host-rock foliation, faults and fractures. In the north, a complex graben system surrounded by orthogonal NW-SE and NE-SW-trending geomorphological elements, shows a repeated stepping 3D displacement pattern. This may indicate a complex fault geometry at depth, including stepped and discontinuous slide surfaces. We interpret 3D displacement into-the-slope in the upper part, and out-of-the-slope in the lower part, to be back-rotation of antithetic blocks with planar fractures becoming curved/listric gliding surfaces with depth. Downslope reduction in velocity indicates compression and stacking of blocks. In the southern area, N-S-trending geomorphological elements are arranged parallel to the hillslope. 3D displacement vectors show a more homogenous displacement pattern indicating movement along planar, hillslope-parallel, fracture sets at depth. We propose a structuralcontrolled slope displacement model including alternate planar-and wedge-failure, in addition to displacement along planar and listric fractures merging into foliation at depth. Using the Jettan rockslide as a case study, we show how remote sensing data may aid examination of structural and topographic controls on rockslide kinematics, thus giving new insights into subsurface geometry

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“…For satellite SAR time series, intensity information alone can be used to calculate feature offsets that result from surface deformations, which has been documented by several studies (Huang and Li, 2011;Nagler et al, 2012;Kobayashi, 2014). For satellite SAR time series, intensity information alone can be used to calculate feature offsets that result from surface deformations, which has been documented by several studies (Huang and Li, 2011;Nagler et al, 2012;Kobayashi, 2014).…”

Section: Non-interferometric Analysesmentioning

confidence: 99%

“…The application of both types of techniques is currently state-of-the art in many fields (Dunnicliff, 1993;Thut, 2009). Related applications were presented by Huang and Li (2011) and Nagler et al (2012) where flow lengths and patterns of glaciers were measured, and by Kobayashi (2014) who quantified post-earthquake crustal deformation. This method has been applied to quantify surface deformation in response to: tectonic shortening and regional subsidence (Massonnet et al, 1993;Hooper et al, 2012;Tosi et al, 2013), volcanic doming (Lundgren et al, 2004;Jung et al, 2011), landslides and rockslides (Catani et al, 2005;Strozzi et al, 2005;Rott and Nagler, 2006;Calabro et al, 2010;Herrera et al, 2011) and glacial and peri-glacial processes (Mohr et al, 1998;Delaloye et al, 2007;Magnusson et al, 2007;Kääb, 2008).…”

Section: Introductionmentioning

confidence: 99%

A review of terrestrial radar interferometry for measuring surface change in the geosciences

Caduff

Schlunegger

Kos

et al. 2014

Earth Surf Processes Landf

152

105

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This paper presents a review of the current state of the art in the use of terrestrial radar interferometry for the detection of surface changes related to mass movement. Different hardware‐types and acquisition concepts are described, which use either real or synthetic aperture for radar image formation. We present approaches for data processing procedures, paying special attention to the separation of high resolution displacement information from atmospheric phase variations. Recent case studies are used to illustrate applications in terrestrial radar interferometry for change detection. Applications range from detection and quantification of very slow moving (millimeters to centimeters per year) displacements in rock walls from repeat monitoring, to rapid processes resulting in fast displacements (~50 m/yr) acquired during single measurement campaigns with durations of only a few hours. Fast and episodic acting processes such as rockfall and snow avalanches can be assessed qualitatively in the spatial domain by mapping decorrelation caused by those processes. A concluding guide to best practice outlines the necessary preconditions that have to be fulfilled for successful application of the technique, as well as in areas characterized by rapid decorrelation. Empirical data from a Ku‐band sensor show the range of temporal decorrelation of different surfaces after more than two years for rock‐surfaces and after a few seconds to minutes in vegetated areas during windy conditions. The examples show that the displacement field can be measured for landslides in dense grassland, ice surfaces on flowing glaciers and snowpack creep. Copyright © 2014 John Wiley & Sons, Ltd.

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Retrieval of 3D-glacier movement by high resolution X-band SAR data

Cited by 19 publications

References 4 publications

Estimating Spatial and Temporal Variability in Surface Kinematics of the Inylchek Glacier, Central Asia, using TerraSAR–X Data

Estimating Spatial and Temporal Variability in Surface Kinematics of the Inylchek Glacier, Central Asia, using TerraSAR–X Data

Relating 3D surface displacement from satellite- and ground-based InSAR to structures and geomorphology of the Jettan rockslide, northern Norway

A review of terrestrial radar interferometry for measuring surface change in the geosciences

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