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Kongsvegen and Kronebreen

INTEGRAL

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Kongsvegen and Kronebreen

Kongsvegen and Kronebreen are two tidewater glaciers that converge close to their calving fronts the latter pinning the tongue of the former - within Kongsfjorden, near to Ny Alesund in North-west Spitsbergen (see Figure 46). Kronebreen draws from both Isachsenfonna and Holtedahlfonna in its accumulation area. The Kongsvegen basin has two main tributaries Kongsvegen and Sidevegen with a number of other small basins contributing to these. Whilst both are polythermal glaciers with generally low slope, their flow regimes are markedly different. Kronebreen displays a heavily-crevassed surface, with ice velocities of > 2m per day measured in the central part measured in the field in 1990 (Melvold 1992) and confirmed from SPOT satellite imagery (Lefauconnier et al., 1994). By contrast, Kongsvegen presents a much smoother surface, with velocities in the order of 1-2 cm/day (Melvold, 1992). Kongsvegen is currently in a quiescent stage, and may be building up to a new surge phase. These contrasting glaciers are therefore of interest both glaciologically, and in terms of the utility of InSAR techniques for their monitoring.

*

Location of Kongsvegen and Kronebreen in NW Spitsbergen. Coverage of ERS track 438, Frame 1989 shown in red box. Extent of ASTER DEM data also shown, as well as GPS stake locations (red) and GLAS elevation locations (blue).

*Meteorological conditions at the acquisition time of ERS Tandem interferometric pairs in Ny-Alesund,

Meteorological data were investigated to assist InSAR data selection by eliminating periods of snowfall or melt that would degrade interferometric coherence. SPRI obtained Synoptic Observation data from Ny-lesund, Spitzbergen (Internet link - opens in new window).This data consists of near-surface air temperature and precipitation summaries at 6-hourly intervals. Positive degree days (PDD) were calculated from air temperature data, and the qualitative precipitation summaries were used to form a quantitative grading of precipitation levels in order to refine our InSAR dataset choices. Whilst our data selection approach for INTEGRAL was to order archive data scenes primarily by areal and temporal coverage criteria, selection of future SAR data acquisitions for monitoring purposes might benefit from consideration of such temperature / precipitation data in order to screen out data likely to be of lower coherence due to (e.g.) melting, snowfall or snow blowing between acquisition dates.

*

Topographic phase simulated from ASTER DEM. Extrapolation effects are visible towards edges, and some artefacts from stereo-matching error.

We had available to the project, two sources of digital elevation model (DEM) data: moderate quality ASTER DEM data (from stereo-matching of imagery with acquisition dates between 2000 2003) at 30m resolution; and NPI DEM at a resolution of 20m. The NPI DEM is formed from a number of sources, but primarily based on 1:100000 scale map contours from 1936 photogrammetric study, representing some 60 years temporal differences from 1996 glacier topography, and have been observed to include significant errors due to interpolation from sparse contours (Perski et al, 2003). Whilst the ASTER DEMs are closer temporally (4 8 years), their accuracy (original or from our processing) is more questionable and more obviously artefactual (see left). A number of GPS-derived stake locations and GLAS point elevations were also obtained for purposes of topographic phase baseline constraint. Six individual DEMs (60km square) were mosaicked together, applying linear best-fit equations derived from overlap regions. Hirano et al (2003) estimate RMSEz values of approximately 7 to 15 m for ASTER DEM are achievable. We more conservatively estimate the accuracy of our ASTER DEM mosaic at twice the worst case (i.e. ~30m) over glacier areas, although there may be inaccuracies of > 100m in areas of steep rock topography (Kaab et al, 2002).

Track

Frame

pass

s_1

orb1

date1

s_2

orb2

date2

ndays

shift

Baseline (m)

438

1989

D

ERS-1

20967

19-Jul-95

ERS-2

1294

20-Jul-95

1

0

25

438

1989

D

ERS-1

23472

10-Jan-96

ERS-2

3799

11-Jan-96

1

0

-32

438

1989

D

ERS-1

23973

14-Feb-96

ERS-2

4300

15-Feb-96

1

0

-116

438

1989

D

ERS-1

24474

20-Mar-96

ERS-2

4801

21-Mar-96

1

0

-180

438

1989

D

ERS-1

21468

23-Aug-95

ERS-2

1795

24-Aug-95

1

0

22

438

1989

D

ERS-1

21969

27-Sep-95

ERS-2

2296

28-Sep-95

1

0

-137

438

1989

D

ERS-1

22971

6-Dec-95

ERS-2

3298

7-Dec-95

1

0

-33

438

1989

D

ERS-1

26478

7-Aug-96

ERS-2

6805

8-Aug-96

1

0

60

9

1989

D

ERS-1

2729

23-Jan-92

ERS-1

2772

26-Jan-92

3

-7

-23

9

1989

D

ERS-1

3116

19-Feb-92

ERS-1

3159

22-Feb-92

3

-7

20

9

1989

D

ERS-1

3632

26-Mar-92

ERS-1

3675

29-Mar-92

3

-7

65

166

1989

D

ERS-1

21196

4-Aug-95

ERS-2

1523

5-Aug-95

1

0

47

166

1989

D

ERS-1

22198

13-Oct-95

ERS-2

2525

14-Oct-95

1

0

-104

166

1989

D

ERS-1

23200

22-Dec-95

ERS-2

3527

23-Dec-95

1

0

-32

166

1989

D

ERS-1

24202

1-Mar-96

ERS-2

4529

2-Mar-96

1

0

-131

166

1989

D

ERS-1

24703

5-Apr-96

ERS-2

5030

6-Apr-96

1

0

-11

166

1989

D

ERS-1

25204

10-May-96

ERS-2

5531

11-May-96

1

0

71

209

1989

D

ERS-1

24746

8-Apr-96

ERS-2

5073

9-Apr-96

1

0

21

209

1989

D

ERS-1

25247

13-May-96

ERS-2

5574

14-May-96

1

0

60

228

1611

A

ERS-1

22260

17-Oct-95

ERS-2

2587

18-Oct-95

1

0

64

228

1611

A

ERS-1

22761

21-Nov-95

ERS-2

3088

22-Nov-95

1

0

-56

228

1611

A

ERS-1

23262

26-Dec-95

ERS-2

3589

27-Dec-95

1

0

-100

228

1611

A

ERS-1

23763

30-Jan-96

ERS-2

4090

31-Jan-96

1

0

-131

252

1989

D

ERS-1

21282

10-Aug-95

ERS-2

1609

11-Aug-95

1

-4

-18

252

1989

D

ERS-1

21783

14-Sep-95

ERS-2

2110

15-Sep-95

1

-4

-43

252

1989

D

ERS-1

22284

19-Oct-95

ERS-2

2611

20-Oct-95

1

-4

-21

252

1989

D

ERS-1

23286

28-Dec-95

ERS-2

3613

29-Dec-95

1

-4

40

252

1989

D

ERS-1

23787

1-Feb-96

ERS-2

4114

2-Feb-96

1

-4

-168

252

1989

D

ERS-1

24288

7-Mar-96

ERS-2

4615

8-Mar-96

1

-4

-176

252

1989

D

ERS-1

24789

11-Apr-96

ERS-2

5116

12-Apr-96

1

-4

62

252

1989

D

ERS-1

25290

16-May-96

ERS-2

5617

17-May-96

1

-4

12

271

1611

A

ERS-1

22303

20-Oct-95

ERS-2

2630

21-Oct-95

1

-5

32

271

1611

A

ERS-1

22804

24-Nov-95

ERS-2

3131

25-Nov-95

1

-5

-53

314

1611

A

ERS-1

21344

14-Aug-95

ERS-2

1671

15-Aug-95

1

-8

-37

314

1611

A

ERS-1

22346

23-Oct-95

ERS-2

2673

24-Oct-95

1

-8

-37

481

1989

D

ERS-1

23014

9-Dec-95

ERS-2

3341

10-Dec-95

1

-1

-34

481

1989

D

ERS-1

24016

17-Feb-96

ERS-2

4343

18-Feb-96

1

-1

-171

481

1989

D

ERS-1

24517

23-Mar-96

ERS-2

4844

24-Mar-96

1

-1

15

481

1989

D

ERS-1

26521

10-Aug-96

ERS-2

6848

11-Aug-96

1

-1

41

A number of ERS-1/2 Tandem phase (1-day) and ERS-1 3-day repeat pairs of SAR scenes were available to the INTEGRAL project, courtesy of VECTRA project, PI A. Shepherd (SPRI). Scenes highlighted were received and processed prior to creation of this CD other scenes have been ordered, but not yet processed.

Scenes extend over Jan 1992 Aug 1996, with at least one pair for each month of the year except June. Ascending and Descending geometries are covered, allowing for application of DINSAR techniques.

The principal use of ALT data within InSAR data processing is as the source of 3D Ground Control Point (GCP) data for interferometer baseline control. Joughin and others (1996) provide useful information regarding the balance between number and quality of GCPs required for accurate baseline constraint. Where only a small number of GCPs can be obtained and located within a SAR image, it is preferable to maximize spacing between points. Large numbers of GCPs over exposed bedrock enable accuracy of velocity estimates to be retained inland of coast area; for GCPs located on the ice, areas of high strain rate or slope should be avoided. If a large number of GCPs are used, high accuracy can be achieved, even with GCP elevation errors of the order of 100m.

*

The figure to the left shows the extent of Icesat GLAS laser altimetry data (blue) available for the region around Kongsvegen and Kronebreen. The GLAS sensor has an ~70 m footprint. Whilst there is a temporal mismatch between the ERS SAR (1992 1996) and the GLAS data (200x), we do not anticipate this being a major source of error over the higher reaches of the glacier accumulation areas. This data has been useful in extending GCP coverage more widely over the SAR data than afforded by the limited number of GPS-derived stake locations over Kongsvegen. However, it is clear that data coverage is sporadic, and it may not be possible to rely on this data source for other areas.

Cryosat LRM mode

*

Cryosat SAR mode

*

Cryosat SARIN mode

*

Cryosat operates in three modes. Low resolution mode (LRM, above left) is a conventional pulse-limited altimeter with a ground footprint of ~ 10 km radius, synthetic aperture radar mode (SAR, above centre) resolves the LRM signal to provide a ground resolution of ~ 250 m along track, and the SAR interferometer mode (SARIN, above right) resolves SAR mode echoes across track to ~ 250 m. This mode of operation is invoked over the edges of large ice masses, and over smaller ice caps. The coherent phase information in SARIN mode allows possible extraction of multiple elevation points in the across-track direction, with a swath width of ~10 km. Formulation of a swath is not assured, but if only the first echo returned across track is of value, this may still provide a good number of useful data points at high latitudes. The spatial density of elevation data is dependent upon the along track sampling and orbit configuration.

The figure to the right shows Cryosat orbit tracks over the same part of Svalbard including the Kongsvegen and Kronebreen glacier areas over one complete orbit cycle (just over 1 year). CryoSat orbit crossing point density exceeds 100 per 100 x 100 km region at high (>60 degree) latitudes. It can be seen that within one orbit cycle (369 days) of data availability, a moderate network of 3D points could be expected from this area, with good opportunity for assuring data quality at crossovers. Orbit tracks were calculated using ESOV software (http://eop-cfi.esa.int/ESOV): within the area delineated as approximating the Kronebreen and Kongsvegen glacier catchments, some 6969 elevation measurements (3488 Ascending, 3481 Descending) are estimated with a maximum between-track spacing of ~1.5 km.

*

Estimated Cryosat orbit tracks

Because of the failure of the Cryosat launch, it will not be possible to make use of actual Cryosat data during the INTEGRAL project duration. The CRYMPS software (UCL/CPOM) may be used to simulate data anticipated from the Cryosat replacement project, Cryosat2.

*

CRYMPS simulation for Kongsvegen / Kronebreen

The figure to the left shows results from a run of the CRYMPS simulator over a DEM of the Kongsvegen / Kronebreen area. The image illustrates the location of the centre of the radar altimeter footprint as the track traverses surface topography. Click the image to see an enlarged version in a new window.

The figure to the right illustrates the expected footprint of Cryosat/2 for a track over Kongsvegen / Kronebreen (click image to open larger version in a new window). The hatched line predominately top to bottom is a set of boxes (not scaled) marking the center of the footprint for each along-track step (~250 m) simulated by CRYMPS. The circle shows a nominal Low Resolution Mode footprint of ~ 10 km radius (i.e. when the instrument is operating as a conventional Pulse-limited Radar Altimeter). The line from left to right within this circle shows a SAR-mode footprint strip of ~250 m along-track, within which the nearest-return elevation point will be returned. In SARIN mode, a set of across-track point offsets may be determinable.

*

CRYMPS illustration of Cryosat Footprint

InSAR-derived Products Kongsvegen and Kronebreen

**

Left: result of merging unwrapped topographic phase from differential processing with mosaiced ASTER DEM simulated phase; Right: result of refinement of composite DEM. Observe detail added in place of too-smooth extrapolated areas.

Interferogram E1-23472/E2-03799 was subtracted from E1-24474/E2-04801 to form a topographic differential interferogram with a perpendicular baseline of ~150m (assuming constant ice velocity between the January and March 1996 acquisition dates).

Much differential topographic phase was unwrappable over glacier areas. However, some areas proved problematic in particular, rock areas, and some glacier margins (see 47). The heavily-crevassed lower part of Kronebreen shows noisy phase patterns and intermittent, generally low coherence, rendering it impervious to our best unwrapping efforts in common with the experience of (e.g.) Eldhuset et al (1996)

The mosaiced ASTER DEM data was geocoded to the SAR geometry and used to simulate topographic phase. The result was then adjusted according to best-fit against unwrapped topographic phase in overlapping areas and a composite topographic phase map was produced, taking unwrapped phase where available, in preference to the ASTER-derived phase. The more complete topographic phase estimate was subtracted from the differential (wrapped) topographic phase, to give an interferogram representing the residual errors from the ASTER-derived estimate. After unwrapping, the result was added to the extended topographic phase estimate to give a corrected topographic phase map. We repeated the same iterative process using the NPI DEM (20m resolution), which is likely to be of a better quality than the ASTER DEM data, and does not require mosaicking of multiple tiles.

*

Look-direction displacements calculated by subtraction of enhanced NPI DEM-derived topographic phase from shorter-baseline (~35 m) interferogram E1-23472/E2-03799 and unwrapping.

Subtraction of enhanced NPI DEM from the shorter-baseline (~35 m) interferogram E1-23472/E2-03799 and then unwrapping the remaining phase yielded the look-direction displacement map shown left. Repeating this versus the longer-baseline (~180 m) interferogram E1-24474/E2-04801 showed a noisier result from residual topography/baseline error and unwrapping error. Use of the ASTER DEM for the same purposes produced more artifacts. Considering flow units presenting in the look direction, we see that the eastern tributary of Kronebreen flows at circa 20 cm/day across profile A-A, speeding up to ~55-60 cm/day across B-B, after which point the unwrapping fails. Speckle/amplitude tracking trials did not yield useful results beyond this point either. By contrast, the inflow from a more northerly tributary across C-C achieves up to ~7-8 cm/day. From manual comparison with adjacent rock areas, we estimate an error of ~2-3 cm for these displacement values. The south-west flowing Sveabreen shows a look-direction displacement of upto ~45-50 cm/day across profile D-D, rising to 60 cm/day across profile E-E close to the margin. However, it is possible that these latter values are too high by upto ~7-12 cm/day, due to a possible combination of unwrapping / topography / baseline errors.

*

*

*

*

*

Unfiltered

First

.. Second ..

.. Third filter

Unwrapping

Full-resolution interferogram over Kronebreen glacier: repeated adaptive filtering clarifies fringe structure considerably, although this risks aliasing effects, and still proves problematic for phase unwrapping

In contrast to other study areas, application of offset tracking techniques using ERS-1/2 SAR data has not proved useful for the fast-moving (> 2 m / day in some parts) Kronebreen glacier. It may be possible to complement InSAR results over slower-moving parts of the glaciers with other sources of displacement data such as ground-based GPS, or offset tracking results from non-SAR (e.g. ASTER visible/near-infra red imagery). We have made some attempt at using full resolution InSAR data, to retrieve displacement values. Whilst there is evidently a pattern of fine fringes discernable to the eye which may be lost through aliasing in processing multi-looked interferograms, the full-resolution data suffers from greater noise and low coherence. The repeated application of adaptive filtering to the full-resolution interferogram provides a visually clearer fringe pattern of higher coherence, although care must be taken to avoid loss of fringes through aliasing. The improvement has not so far been sufficient to allow unwrapping to succeed over the bulk of the lower glacier.

Conclusions / Further Work

At the time of production of this CD, InSAR processing work for Kongsvegen and Kronebreen continues. Data has been obtained so as to allow seasonal displacement values to be investigated, and to allow full 3D velocity extraction using DINSAR techniques.