Estimation of Arctic glacier motion with satellite L-band SAR data

Strozzi, Tazio; Kouraev, Alexei V.; Wiesmann, Andreas; Wegmüller, U.; Sharov, Aleksey; Werner, Charles

doi:10.1016/j.rse.2007.06.007

Cited by 137 publications

(99 citation statements)

References 28 publications

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“…This method can be used to overcome the limitations of D-InSAR in monitoring subsidence with a large deformation gradient. It has been successfully used to monitor the deformation due to earthquakes [23], volcanos [24], landslides [25], and the movement of glaciers [26,27]. There are two sub-pixel offset-tracking methods.…”

Section: Methodsologymentioning

confidence: 99%

Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

et al. 2015

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An approach to study the mechanism of mining-induced subsidence, using a combination of phase-stacking and sub-pixel offset-tracking methods, is reported. In this method, land subsidence with a small deformation gradient was calculated using time-series differential interferometric synthetic aperture radar (D-InSAR) data, whereas areas with greater subsidence were calculated by a sub-pixel offset-tracking method. With this approach, time-series data for mining subsidence were derived in Yulin area using 11 TerraSAR-X (TSX) scenes from 13 December 2012 to 2 April 2013. The maximum mining subsidence and velocity values were 4.478 m and 40 mm/day, respectively, which were beyond the monitoring capabilities of D-InSAR and advanced InSAR. The results were compared with the GPS field survey data, and the root mean square errors (RMSE) of the results in the strike and dip directions were 0.16 m and 0.11 m, respectively. Four important results were obtained from the time-series subsidence in this mining area: (1) the mining-induced subsidence entered the residual deformation stage within about 44 days; (2) the advance angle of influence changed from 75.6° to 80.7°; (3) the prediction parameters of mining subsidence; (4) three-dimensional OPEN ACCESSRemote Sens. 2015, 7 9167 deformation. This method could be used to predict the occurrence of mining accidents and to help in the restoration of the ecological environment after mining activities have ended.

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Section: Methodsologymentioning

confidence: 99%

Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

et al. 2015

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“…Once the above-mentioned steps are done, the offset tracking technique is the same as for normal stripmap mode scenes [15][16][17][18][19]. Surface displacements can be obtained in ground coordinates (e.g., slant rage and azimuth directions), which are finally geocoded using a lookup table derived from the use of the DEM and the image parameter file.…”

Section: Gamma Remote Sensing Offset Trackingmentioning

confidence: 99%

“…The application of interferometry to ascending and descending passes is also well documented for glacier surface velocity estimations [12][13][14]. There are plenty of articles dealing with glacier velocity retrieval using the offset tracking technique [15][16][17][18][19], including the particular case of Sentinel-1 TOPS acquisitions [20,21], the latter reference providing a comprehensive velocity field for the entire Greenland Ice Sheet. Furthermore, the combination of both techniques has also been covered with different approaches (e.g., merging of results or using least squares [22][23][24][25]) and also for entire ice sheets, such as the study by Mouginot et al [26] for the Antarctic Ice Sheet.…”

Section: Introductionmentioning

confidence: 99%

Glacier Surface Velocity Retrieval Using D-InSAR and Offset Tracking Techniques Applied to Ascending and Descending Passes of Sentinel-1 Data for Southern Ellesmere Ice Caps, Canadian Arctic

Sánchez-Gámez

Navarro

2017

Remote Sensing

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Abstract:The Terrain Observation by Progressive Scans (TOPS) acquisition mode of the Sentinel-1 mission provides a wide coverage per acquisition with resolutions of 5 m in range and 20 m in azimuth, which makes this acquisition mode attractive for glacier velocity monitoring. Here, we retrieve surface velocities from the southern Ellesmere Island ice caps (Canadian Arctic) using both offset tracking and Differential Interferometric Synthetic Aperture Radar (D-InSAR) techniques and combining ascending and descending passes. We optimise the offset tracking technique by omitting the azimuth offsets. By doing so, we are able to improve the final resolution of the velocity product, as Sentinel-1 shows a lower resolution in the azimuth direction. Simultaneously, we avoid the undesired ionospheric effect manifested in the data as azimuth streaks. The D-InSAR technique shows its merits when applied to slow-moving areas, while offset tracking is more suitable for fast-moving areas. This research shows that the methods used here are complementary and the use of both to determine glacier velocities is better than only using one or the other. We observe glacier surface velocities of up to 1200 m year −1 for the fastest tidewater glaciers. The land-terminating glaciers show typical velocities between 12 and 33 m year −1 , though with peaks up to 150 m year −1 in narrowing zones of the confining valleys.

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“…But even in these cases in situ measured glacier velocities are still of wide interest, since they provide a means for the calibration and validation of remotely sensed velocities (e.g. Strozzi et al, 2008;Schellenberger et al, 2015). This is of interest in view of the recent efforts to derive time series for regional or global icevelocity fields such as those involved in the MEaSUREs program (https://nsidc.org/data/nsidc-0484/versions/2, accessed on 7 May 2017), the GoLIVE project (https://nsidc.org/data/ golive, accessed on 7 May 2017), and the ENVEO CryoPortal (http://cryoportal.enveo.at/, accessed on 7 May 2017).…”

Section: Introductionmentioning

confidence: 99%

“…1). These islands, located off the north-western tip of the Antarctic Peninsula, previously had a scarce record of in situ velocity observations, which included measurements in the late 1980s on Nelson Island (Ren Jiaven et al, 1995), earlier measurements in the late 1990s on Johnsons Glacier (Ximenis et al, 1999), and measurements in the Arctowski Icefield, the Bellingshausen Dome, and the Central Dome of King George Island between 1999and 2008/09 (Blindow et al, 2010Rückamp et al, 2010Rückamp et al, , 2011. Such in situ velocity measurements are critical for the validation of the estimates of remote-sensor-based studies of ice discharge in the region such as those by Osmanoglu et al (2013Osmanoglu et al ( , 2014 for King George and Livingston islands (the present dataset has in fact been used in the latter paper with such purposes), as well as for tuning free parameters of glacier dynamics models, as done by Martín et al (2004) and Otero et al (2010) using an earlier (and shorter) version of the dataset presented.…”

Section: Introductionmentioning

confidence: 99%

A 14-year dataset of in situ glacier surface velocities for a tidewater and a land-terminating glacier in Livingston Island, Antarctica

Machío

Rodríguez-Cielos

Navarro³

et al. 2017

Earth Syst. Sci. Data

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Abstract. We present a 14-year record of in situ glacier surface velocities determined by repeated global navigation satellite system (GNSS) measurements in a dense network of 52 stakes distributed across two glaciers, Johnsons (tidewater) and Hurd (land-terminating), located on Livingston Island, South Shetland Islands, Antarctica. The measurements cover the time period 2000-2013 and were collected at the beginning and end of each austral summer season. A second-degree polynomial approximation is fitted to each stake position, which allows estimating the approximate positions and associated velocities at intermediate times. This dataset is useful as input data for numerical models of glacier dynamics or for the calibration and validation of remotely sensed velocities for a region where very scarce in situ glacier surface velocity measurements have been available so far. The link to the data repository is as follows: http://doi.pangaea.de/10.1594/PANGAEA.846791.

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Estimation of Arctic glacier motion with satellite L-band SAR data

Cited by 137 publications

References 28 publications

Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

Monitoring Mining Subsidence Using A Combination of Phase-Stacking and Offset-Tracking Methods

Glacier Surface Velocity Retrieval Using D-InSAR and Offset Tracking Techniques Applied to Ascending and Descending Passes of Sentinel-1 Data for Southern Ellesmere Ice Caps, Canadian Arctic

A 14-year dataset of in situ glacier surface velocities for a tidewater and a land-terminating glacier in Livingston Island, Antarctica

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