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A new velocity map for Byrd Glacier, East Antarctica, from sequential ASTER satellite imagery

Published online by Cambridge University Press:  14 September 2017

Leigh Stearns
Affiliation:
Climate Change Institute, and Department of Earth Sciences, University of Maine, 303 Bryand Global Sciences Center, Orono, ME 04469-5790, USAE-mail:[email protected]
Gordon Hamilton
Affiliation:
Climate Change Institute, and Department of Earth Sciences, University of Maine, 303 Bryand Global Sciences Center, Orono, ME 04469-5790, USAE-mail:[email protected]
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Abstract

New ice-velocity measurements are obtained for the main trunk of Byrd Glacier, East Antarctica, using recently acquired Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imagery. The velocities are derived from the application of a cross-correlation technique to sequential images acquired in 2000 and 2001. Images were co-registered and ortho-rectified with the aid of a digital elevation model (DEM) generated from ASTER stereo imagery. This paper outlines the process of DEM generation, image co-registration and correction, and the application of the cross-correlation technique to obtain ice velocities. Comparison of the new velocity map with earlier measurements of velocity from 1978 indicates that the glacier has undergone a substantial deceleration between observations. Portions of the glacier flowing at speeds of ~850ma–1 in 1978/79 were flowing at ~650ma–1 in 2000/01. The cause of this change in ice dynamics is not known, but the observation shows that East Antarctic outlet glaciers can undergo substantial changes on relatively short timescales.

Type
Research Article
Copyright
Copyright © The Author(s) [year] 2005

Introduction

Large outlet glaciers and ice streams are the primary means by which ice is transported from the interior of Antarctica to the ocean. Relatively small changes in their configuration and flow speed can have significant impacts on ice-sheet mass balance. Ice streams in West Antarctica are known to change speed on a variety of timescales, ranging from days (Reference Bindschadler, King, Alley, Anandakrishnan and PadmanBindschadler and others, 2003) to decades (e.g. Reference Stephenson and BindschadlerStephenson and Bindschadler, 1988; Reference Joughin and TulaczykJoughin and others, 2002; Reference Stearns, Jezek and van der VeenStearns and others, 2005) through to centuries (Reference Retzlaff and BentleyRetzlaff and Bentley, 1993). Similar types of behavior are not well characterized for outlet glaciers of the East Antarctic ice sheet, in part because long records of ice dynamics are not widely available. We describe the generation of a new ice-velocity map for Byrd Glacier, one of the largest glaciers in East Antarctica, using modern satellite imagery. The new data are compared with archival measurements of ice velocities to show that large changes in ice dynamics have occurred on this glacier over a period of 22 years.

Large outlet glaciers and ice streams are the primary means by which ice is transported from the interior of Antarctica to the ocean. Relatively small changes in their configuration and flow speed can have significant impacts on ice-sheet mass balance. Ice streams in West Antarctica are known to change speed on a variety of timescales, ranging from days (Reference Bindschadler, King, Alley, Anandakrishnan and PadmanBindschadler and others, 2003) to decades (e.g. Reference Stephenson and BindschadlerStephenson and Bindschadler, 1988; Reference Joughin and TulaczykJoughin and others, 2002; Reference Stearns, Jezek and van der VeenStearns and others, 2005) through to centuries (Reference Retzlaff and BentleyRetzlaff and Bentley, 1993). Similar types of behavior are not well characterized for outlet glaciers of the East Antarctic ice sheet, in part because long records of ice dynamics are not widely available. We describe the generation of a new ice-velocity map for Byrd Glacier, one of the largest glaciers in East Antarctica, using modern satellite imagery. The new data are compared with archival measurements of ice velocities to show that large changes in ice dynamics have occurred on this glacier over a period of 22 years.

Byrd Glacier flows through the Transantarctic Mountains and supplies the Ross Ice Shelf with ice from East Antarctica (Fig. 1). Convergent inland sheet flow is funneled through a ~100km long, ~20 km wide fjord. At the fjord’s downstream end, linear flow switches to diverging shelf flow as the floating ice enters the Ross Ice Shelf. The glacier has one of the largest catchments in Antarctica (1 070 400 km2; Reference Rignot and ThomasRignot and Thomas, 2002), delivers into the Ross Ice Shelf an amount of ice (23.6 ± 2km3 a–1) equivalent to that of Whillans Ice Stream (Reference Joughin, Tulaczyk, Bindschadler and PriceJoughin and Tulaczyk, 2002; Reference Rignot and ThomasRignot and Thomas, 2002; Reference Stearns, Jezek and van der VeenStearns and others, 2005) and sustains rapid flow speeds in excess of 650ma–1 (Reference BrecherBrecher, 1982). Prolonged changes in the flow dynamics of Byrd Glacier will

Fig. 1. A RADARSAT image of Byrd Glacier and its catchment. (a) The catchment boundaries are derived from Reference Rignot and ThomasRignot and Thomas (2002). (b) The location of the ASTER images used in this study to calculate ice velocities. Ice flow is from upper right to lower left. impactthe mass balance of East Antarctica and might also affect the stability of the Ross Ice Shelf.

A mass-balance estimate for the entire Byrd Glacier catchment is not currently available because much of the catchment lies beyond the latitudinal range of key spaceborne sensors. Based on mass-budget calculations, Rignot and Thomas (2002) estimate a positive balance for the region of Byrd Glacier north of ~80˚ S. Repeat satellite altimetry seems to confirm the positive balance for parts of the Byrd Glacier catchment (Reference Wingham, Ridout, Scharroo, Arthern and ShumWingham and others, 1998) for the period 1992–96. The balance conditions for the southern portion of Byrd Glacier are unknown (Rignot and Thomas, 2002).

Mass-balance characteristics for most of the East Antarctic outlet glaciers in the Ross Sea embayment are largely unknown but are often assumed to be close to steady state. Reference Fahnestock, Scambos, Bindschadler and KvaranFahnestock and others (2000) examined relict flow traces on Advanced Very High Resolution Reflection Radiometer imagery of the Ross Ice Shelf and concluded that the crevasse patterns and flow traces originating from East Antarctica implied steady flow conditions over the last millennium. Reference Frezzotti, Tabacco and ZirizzottiFrezzotti and others (2000) and Reference Reusch and HughesRignot (2002) compared velocity measurements on David Glacier (~75˚ S, ~160˚ E, ~550km north of Byrd Glacier) with catchment-wide accumulation rates and concluded that the glacier was either in positive balance or maintaining net balance, depending on which accumulation map was used.

Mapping glacier velocities is an important first step in estimating balance conditions. The mass balance of a glacier is often determined by comparing the total net input (by accumulation) with net losses (dominated by ice flow) (e.g. Reference Whillans and BindschadlerWhillans and Bindschadler, 1988; Reference Bindschadler, Vornberger, Blankenship, Scambos and JacobelBindschadler and others, 1996; Reference Joughin and TulaczykJoughin and others, 2002; Reference Reusch and HughesRignot, 2002). This method requires accurate ice-velocity measurements, snow accumulation rates and, depending on the approach, catchment dimensions and the ice thickness at an exit gate. The tracking of features, such as crevasses and rifts, on sequential visible images is an efficient method for obtaining ice surface velocity measurements in remote regions (Reference Lucchitta and FergusonLucchitta and Ferguson, 1986). An automated version of this technique has been applied to several different types of satellite imagery (e.g. Reference Bindschadler and ScambosBindschadler and Scambos, 1991; Reference Whillans, Jackson and TsengWhillans and others, 1993; Reference Lucchitta, Rosanova and MullinsLucchitta and others, 1995; Reference Kääb and VollmerKääb and Vollmer, 2000; Reference KääbKääb, 2002; Reference Stearns, Hamilton and ReehStearns and others, in press).

As part of an effort to characterize the mass balance of outlet glaciers draining East Antarctica through the Transantarctic Mountains, we have applied the feature-tracking routine to sequential pairs of recent satellite images acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor to obtain maps of outlet glacier velocity. In this paper, we outline the methods involved in producing a new velocity map for Byrd Glacier, including digital elevation model (DEM) generation using along-track stereo scenes, image ortho-rectification, and application of cross-correlation techniques. The resulting velocity map is compared with an earlier map of surface velocities obtained in 1978 to show that Byrd Glacier has undergone significant changes in flow dynamics over the past two decades.

Velocity Mapping Using Aster Imagery

The ASTER sensor on board the Terra satellite launched in December 1999 provides new opportunities for glacier mapping in high-latitude regions (to ~85˚ N/S) (Reference Yamaguchi, Kahle, Tsu, Kawakami and PnielYamaguchi and others, 1998). ASTER is a high-resolution, multispectral sensor with 15m ground resolution in the visible/near-infrared (VNIR) bands. Additional spectral capabilities include several lower-resolution (30–90 m) bands at shortwave infrared and thermal wavelengths. The high-resolution VNIR bands make ASTER imagery ideal for measuring feature displacement in sequential images (e.g. Reference KääbKääb, 2002; Reference ToutinToutin, 2002b; Reference Stearns, Hamilton and ReehStearns and others, in press).

The ASTER instrument acquires stereo imagery using a nadir (3N) and backward (3B) viewing telescope in the NIR band 3 (Reference Yamaguchi, Kahle, Tsu, Kawakami and PnielYamaguchi and others, 1998). The backward-looking telescope points 27.6˚ off-nadir (Fig. 2). Together, bands 3N and 3B can be used to produce a 15m horizontal-resolution DEM of a 60 km × 60km scene. DEMs are useful as a means of co-registering image pairs in regions of high-relief terrain, such as in the present outlet-glacier application where conventional ground control is limited.

Fig. 2. The acquisition of an ASTER stereo scene (after Reference KääbKääb, 2002). The 3N (nadir band 3) scene and the corresponding 3B (backward-looking) scene are taken ~60 s apart (corresponding to 400 km along the satellite orbit track). These stereo images are used to produce a DEM.

DEM generation from stereo satellite imagery is not a new technique (e.g. Reference Ehlers and WelchEhlers and Welch, 1987; Reference Grabmaier, Tuladhar and VerstappenGrabmaier and others, 1988; Reference ToutinToutin, 2002a, Reference Toutinb; Reference Zomer, Ustin and IvesZomer and others, 2002; Reference Eldhuset, Anderson, Hague, Isakksson and WeydahlEldhuset and others, 2003; Reference Paul, Huggel and KääbPaul and others, 2004). The advantage of ASTER stereo imagery is that images with the necessary different viewing angles are acquired nearly simultaneously (~60 s apart), rather than days or months apart as with other image types. This eliminates the problem of surface decorrelation (due to snowfall, melting, etc.) inherent in the other techniques (Reference KääbKääb, 2002; Reference ToutinToutin, 2002b).

Our objective is to produce ice-velocity maps for outlet glaciers draining through the rugged terrain of the Transantarctic Mountains. Velocities are derived from automatic tracking of surface features on sequential ASTER images using IMCORR, an established cross-correlation technique (Reference Scambos, Dutkiewicz, Wilson and BindschadlerScambos and others, 1992). The IMCORR technique was originally developed for mapping displacements on low-slope ice streams in West Antarctica (Reference Scambos, Dutkiewicz, Wilson and BindschadlerScambos and others, 1992) from Landsat imagery. Characteristics of the ASTER sensor and the application of the technique to rugged terrain necessitate several modifications.

Sequential stereo pairs used for cross-correlation must be largely cloud-free, and are required to have similar illumination characteristics (Scambos and others, 1992). The ASTER instrument’s across-track, off-nadir scene acquisition capability (±8.55˚ ) introduces an image geometry changethat must be considered during scene selection. Over regions of rugged relief such as the Transantarctic Mountains, we find that the pointing angles of sequential images need to be within 3˚ to maintain similar geometric characteristics. If the pointing-angle difference is >3˚, panoramic distortion inhibits cross-correlation. A further consideration is the time interval between sequential image acquisition. The time separation must be long enough for features to be displaced more than the measurement uncertainties, but not so long that features are distorted beyond recognition. In the present case, the optimal separation interval is about 3–12 months.

Processing Methods

Several image preparation steps are required before running the feature-tracking technique. These steps are used to orthorectify and co-register the image pair, and are necessary because conventional ground control is not widely available for the Byrd Glacier region and because an existing DEM of the study area (the OSU DEM; Reference Liu, Jezek and LiLiu and others, 1999) does not provide enough detail. The resolution of the OSU DEM, which combines satellite-, ground- and airborne-based Antarctic elevation data, depends on the density and scale of the source data and the ruggedness of the topography. Over Byrd Glacier, where the terrain is rough and the data distribution is only average, the horizontal resolution is ~200m and the vertical accuracy is ~100m (Reference Liu, Jezek and LiLiu and others, 1999, Reference Liu, Jezek, Li and Zhao2001).

An ASTER-based DEM was generated using bands 3N and 3B of a single level 1B ASTER scene (ID #AST_L1B_ 003_12132000191929_02152003105014). Processing of the stereo bands was done using PCI Geomatica 9.11 software, following methods outlined by Reference ToutinToutin (2001, Reference Toutin2002b) and Reference ToutinToutin and Cheng (2001). Geolocation of the images was based on the satellite ephemeris data given in the Hierarchical Data Format (HDF) metadata file. To supplement the corner coordinates, 18 tie points between the 3N and 3B scenes were manually selected. Transformation to epipolar geometry and parallax-matching was done automatically with PCI software (Reference ToutinToutin and Cheng, 2001; Reference KääbKääb and others, 2003), and a relative DEM was produced through parallax-to-DEM conversion (Fig. 3). The improved vertical resolution of the ASTER-derived DEM is evident in a comparison (Fig. 3) with the existing OSU DEM. The detail of topography in the ASTER DEM is much clearer than the OSU DEM, which tends to smooth out sharp peaks and ridges.

Fig. 3. (a). An ASTER image draped over the ASTER-derived DEM of the Byrd Glacier area. The drop in elevation at the right of the image is due to the lack of overlap between the 3N and 3B bands (caused by the slight difference in look angle). Flow is from right to left. (b) The same ASTER image draped over the OSU DEM (Reference Liu, Jezek and LiLiu and others, 1999). The elevation profile follows the thick white line in (a) and (b). The solid line is elevation data from the ASTER DEM; the dashed line is from the OSU DEM. Note the improved spatial resolution of the ASTER DEM.

The new ASTER DEM was used to ortho-rectify the image pair prior to feature matching. Ortho-rectification is the correction of an image, pixel-by-pixel, for topographic distortion due to Earth’s curvature and terrain elevation. This process is especially important near Byrd Glacier because the rugged terrain of the Transantarctic Mountains has an elevation range of ~3500 m, and the relatively steep slopes introduce errors in scaling horizontal distances. Absolute ortho-rectification requires a detailed DEM and ground-control points (GCPs), but neither is readily available for the Byrd Glacier region. A relative DEM and relative GCPs are sufficient for ortho-rectification in the present case (assuming images are accurately co-registered to each other), because our primary application is the relative displacement of surface features.

Accurate ortho-rectification was achieved with the high-resolution ASTER DEM by using the lower-resolution OSU DEM as a baseline for parallax matching. Parallax matching is a step in the ortho-rectification process that removes the apparent change in relative positions of stationary objects, i.e. mountains, caused by a change in viewing position from the satellite. Parallax matching produces a pair of epipolar ortho-images that are then used to produce a DEM. The OSU DEM provided a predefined baseline elevation which allowed the relative positions of the mountains to be calculated correctly.

Once the images were co-registered and ortho-rectified, a principal component filter was applied to both scenes to reduce image noise. In multiband images, the first principal component of the visible data produces images in which ice topography is enhanced and subtle reflectance differences in snow type (between snow and firn) are suppressed (Reference Scambos, Dutkiewicz, Wilson and BindschadlerScambos and others, 1992). Additional noise suppression techniques that Reference Scambos, Dutkiewicz, Wilson and BindschadlerScambos and others (1992) applied to Landsat scenes, such as scan-line de-striping, high-pass filtering and Gaussiancontrast stretching, were not necessary for preparation of the ASTER imagery.

The cross-correlation algorithm (IMCORR) was then applied to the prepared images. Features were matched between the two sequential images, and their displacement calculated. Bad matches were discarded on the basis of a correlation strength estimate. The result is a dense array of displacement measurements for many (>13 000) points on the glacier surface (Fig. 4a). To test the accuracy of the co-registration, the feature-tracking algorithm confirmed that stationary bedrock features on the adjacent mountains did not move between the sequential images.

Fig. 4. (a) The distribution of displacement vectors from feature tracking using ASTER imagery. (b) The new velocity map for Byrd Glacier as obtained from ASTER, and gridded to 1 km. The velocity profiles correspond to the thick black lines along and across the image. (c) The velocity map derived by Reference BrecherBrecher (1982) from aerial photography. (d) The difference in velocities (2001/02 – 1978/79) between maps B and C.

Results

The methods described above were applied to two ASTER scenes of Byrd Glacier, acquired on 13 December 2000 and 13 November 2001. Approximately 13 250 displacements were obtained (Fig. 4a), contrasting the 470 data points produced with photogrammetry in 1978 (Fig. 4c) (Brecher, 1982). Both velocity datasets were gridded at 1 km spacing, using the kriging method, to produce contoured surface velocity maps (Fig. 4b and c). Changes in ice velocity from 1978 to 2001 are shown in Figure 4d. Velocity profiles (following the thick black lines in Fig. 4b–d) of the gridded data show ice-flow patterns both along and across the glacier.

In 1978 and 2001, a wide zone in the center of the glacier flows at a speed of 650–850ma–1 (Fig. 4b and c). The lateral reduction in velocity occurs rapidly within a narrow band, <1 km wide, adjacent to each margin. This type of transverse velocity profile is similar to those measured on ice streams in West Antarctica (e.g. Reference Joughin and TulaczykJoughin and others, 2002; Reference Stearns, Jezek and van der VeenStearns and others, 2005), whereas other fast-flowing, rock-bounded glaciersare characterized by narrow bands of peak flow speeds near the center of the channel (e.g. Reference Van der VeenVan der Veen, 1999, p. 118).

The longitudinal velocity profile indicates that peak flow speeds are reached soon after Byrd Glacier enters the fjord (Fig. 4b and c). There appears to be a region of reduced flow velocity near the downstream portion of the study area, where the velocity decelerates 23.5% from 1978 to 2001 (Fig. 4d). The sequential image coverage does not extend any farther downstream, so we cannot characterize the velocity pattern of Byrd Glacier as it enters the Ross Ice Shelf.

Sources Of Uncertainty

The measured displacements of surface features have several sources of uncertainty. The major sources are DEM generation, image ortho-rectification, co-registration and application of the matching technique.

Generation of the ASTER DEM introduces an uncertainty that is difficult to assess because alternative high-resolution DEMs and accurate GCPs of Byrd Glacier are not available. Other studies have compared ASTER DEMs with DEMs produced by conventional photogrammetry for mountain regions in the Swiss Alps and New Zealand. In such cases, uncertainties in absolute elevations can be quite large (~60mrms) for rugged topography (e.g. Reference KääbKääb, 2002). The uncertainties in relative elevations, important for the present study, are usually much smaller. Reference Stevens, Garbeil and Mouginis-MarkStevens and others (2004) note that, in the absence of appreciable atmospheric water vapor, rms uncertainties for relative ASTER DEMs are <10m for moderately rugged terrain. This estimate is probably valid for the Transantarctic Mountains, where very dry atmospheric conditions prevail.

Ortho-rectification using the ASTER DEM translates the DEM errors onto the ortho-rectified image. Following Kääb’s (2002) results in the Swiss Alps, a 10m ground position error is expected for rough terrain and a 3m error is expected for moderate terrain (Reference KääbKääb, 2002). Overall, resampling errors during ortho-projection translate to positional errors that are at the sub-pixel (<15 m) level.

Uncertainties associated with the image cross-correlation technique are smaller than the pixel size of 15 m. Matches with uncertainties larger than 1 pixel were discarded. Cumulatively, the uncertainties resulting from all error sources are ~20m (which translate to velocity uncertainties of ~21ma–1) and are unimportant for the fast glacier speeds (>400ma–1) being investigated here.

Discussion

The new velocity map is compared with an earlier compilation of ice velocities derived from conventional photogrammetry performed on aerial photographs acquired in 1978 and 1979 (Fig. 4d; Reference BrecherBrecher, 1982). In 1978/79, the peak velocities were ~850ma–1. The new results show that 22 years later, the fastest velocities in the same area were closer to 650ma–1, a 23.5% deceleration. The deceleration is most pronounced in the downstream portion of the studied area (Fig. 4d), implying that the deceleration originated down-glacier and is migrating up-glacier. There does not appear to have been significant deceleration in the upstream portion of the image.

The deceleration appears to be a relatively recent event. Flow speeds measured by Reference BrecherBrecher (1982) are consistent with point measurements of velocity obtained in 1962 by conventional triangulation surveys (Reference SwithinbankSwithinbank, 1963). In addition, manual tracking of large transverse surface rifts in satellite images from 1974 and 1983 yielded a 10 year average velocity (Reference Lucchitta and FergusonLucchitta and Ferguson, 1986) that was very similar to the 1 year average reported by Reference BrecherBrecher (1982). These observations indicate that the flow of Byrd Glacier was steady between ~1962 and 1983.

There is evidence suggesting that Byrd Glacier is undergoing large-scale changes in ice dynamics. Reference Reusch and HughesReusch and Hughes (2003) estimate that the grounding zone migrated ~20 km upstream between 1979 (Reference Hughes and FastookHughes and Fastook, 1981) and 1997 (Reference Rignot and JacobsRignot and Jacobs, 2002). The 1979 grounding zone corresponds to the part of the glacier where deceleration was most pronounced (Fig. 4d). According to Reference Reusch and HughesReusch and Hughes (2003), this region is not completely afloat. It is not known whether the deceleration in flow speeds and grounding line migration are linked events. A deceleration might imply that the supply of ice to the grounding line is insufficient to maintain a stable position, leading to retreat. Alternatively, an increase in basal melting (Reference Rignot and JacobsRignot and Jacobs, 2002) might account for the inland retreat of the grounding line. Whatever the cause, it is not clear why flow speeds should decrease in a part of the glacier that became decoupled from its bed.

Reference Reusch and HughesReusch and Hughes (2003) also note the presence of low-amplitude (~50 m), long-wavelength (10–20 km) ‘waves’ on the surface of Byrd Glacier. These features are the result of longitudinal variations in ice thickness and are visible in elevation maps made from photogrammetry (Reference BrecherBrecher, 1980). One explanation for their occurrence is temporal changes in the nature of subglacial coupling (Reference Reusch and HughesReusch and Hughes, 2003). Changes in the basal boundary condition should lead to fluctuations in surface flow speeds. It is possible that the observed deceleration in velocity is consistent with the formation of ‘waves’ on Byrd Glacier.

Conclusions

Feature tracking using high-resolution ASTER satellite imagery is an efficient way of deriving maps of surface velocity on interesting parts of East Antarctic outlet glaciers. The stereo imaging capability of the ASTER sensor enables the generation of high-resolution DEMs that can be used to co-register and ortho-rectify images in regions of rugged topography where other survey data are not available.

The technique is applied to images of Byrd Glacier, acquired in 2000 and 2001, to yield a dense map of velocity vectors. The glacier is characterized by a wide zone of sustained fast flow speeds in excess of 600ma–1. Nearly all the lateral reduction in flow velocities occurs in a narrow band close to each margin.

A comparison of the 2000/01 velocity field with an earlier map of ice flow in 1978/79 shows that Byrd Glacier has undergone a significant deceleration over the 22 year period. Peak speeds have slowed from ~850ma–1 to ~650ma–1. This deceleration might be related to other indications of changes on Byrd Glacier, such as grounding line migration and the formation of surface waves. Taken together, these observations show that the flow behavior of this large East Antarctic outlet glacier is complex and dynamic.

Acknowledgements

This work was supported by NASA’s Cryospheric Sciences Program through NAG5-9913.We thank B. Raup, D. Fatland, F. Paul and D. Vaughan for their careful and constructive comments on the manuscript.

References

Bindschadler, R.A. and Scambos, T.A.. 1991. Satellite-image-derived velocity field of an Antarctic ice stream. Science, 252(5003), 242–246.CrossRefGoogle ScholarPubMed
Bindschadler, R., Vornberger, P., Blankenship, D., Scambos, T. and Jacobel, R.. 1996. Surface velocity and mass balance of Ice Streams D and E,West Antarctica. J. Glaciol., 42(142), 461–475.CrossRefGoogle Scholar
Bindschadler, R.A., King, M.A., Alley, R.B., Anandakrishnan, S. and Padman, L.. 2003. Tidally controlled stick–slip discharge of a West Antarctic ice stream. Science, 301(5636), 1087–1089.CrossRefGoogle Scholar
Brecher, H.H. 1980. Apparent surface lowering of the Byrd Glacier between 1960 and 1978. Antarct. J. US, 15(5), 64–65.Google Scholar
Brecher, H.H. 1982. Photographic determination of surface velocities and elevations on Byrd Glacier. Antarct. J. US, 17(5), 79–81.Google Scholar
Ehlers, M. and Welch, R.. 1987. Stereocorrelation of Landsat TM images. Photogramm. Eng. Remote Sens., 53(9), 1231–1237.Google Scholar
Eldhuset, K., Anderson, P.H., Hague, S., Isakksson, E. and Weydahl, D.J.. 2003. ERS tandem InSAR processing for DEM generation, glacier motion estimation and coherence analysis on Svalbard. Int. J. Remote Sens., 24(7), 1415–1437.Google Scholar
Fahnestock, M.A., Scambos, T.A., Bindschadler, R.A. and Kvaran, G.. 2000. A millennium of variable ice flow recorded by the Ross Ice Shelf, Antarctica. J. Glaciol., 46(155), 652–664.CrossRefGoogle Scholar
Frezzotti, M., Tabacco, I.E. and Zirizzotti, A.. 2000. Ice discharge of eastern Dome C drainage area, Antarctica, determined from airborne radar survey and satellite image analysis. J. Glaciol., 46(153), 253–264.Google Scholar
Grabmaier, K., Tuladhar, A.M. and Verstappen, T.H.. 1988. Stereo mapping with SPOT. ITC Journal, 2, 149–154.Google Scholar
Hughes, T.J. and Fastook, J.L.. 1981. Byrd Glacier: 1978–1979 field results. Antarct. J. US, 16(5), 86–89.Google Scholar
Joughin, I. and Tulaczyk, S.. 2002. Positive mass balance of the Ross ice streams, West Antarctica. Science, 295(5554), 476–480.CrossRefGoogle ScholarPubMed
Joughin, I., Tulaczyk, S., Bindschadler, R.A. and Price, S.. 2002. Changes inWest Antarctic ice stream velocities: observation and analysis. J. Geophys. Res., 107(B11), 2289. (10.1029/ 2001JB001029.)Google Scholar
Kääb, A. 2002. Monitoring high-mountain terrain deformation from repeated air- and spaceborne optical data: examples using digital aerial imagery and ASTER data. ISPRS J. Photogramm. Remote Sens, 57(1–2), 39–52.Google Scholar
Kääb, A. and Vollmer, M.. 2000. Surface geometry, thickness changes and flow fields on permafrost streams: automatic extraction by digital image analysis. Permafr. Periglac. Proc., 11(4), 315–326.3.0.CO;2-J>CrossRefGoogle Scholar
Kääb, A. and 6 others. 2003. Glacier monitoring from ASTER imagery: accuracy and application. EARSeL eProceedings, 2(1), 43–53.Google Scholar
Liu, H., Jezek, K.C. and Li, B.. 1999. Development of an Antarctic digital elevation model by integrating cartographic and remotely sensed data: a geographic information system based approach. J. Geophys. Res., 104(B10), 23,199–23,213.Google Scholar
Liu, H., Jezek, K.C., Li, B. and Zhao, Z.. 2001. RADARSAT Antarctic Mapping Project digital elevation model version 2.. Boulder, CO, National Snow and Ice Data Center.Google Scholar
Lucchitta, B.K. and Ferguson, H.M.. 1986. Antarctica: measuring glacier velocity from satellite images. Science, 234(4780), 1105–1108.Google Scholar
Lucchitta, B.K., Rosanova, C.E. and Mullins, K.F.. 1995. Velocities of Pine Island Glacier, West Antarctica, from ERS-1 SAR images. Ann. Glaciol., 21, 277–283.CrossRefGoogle Scholar
Paul, F., Huggel, C. and Kääb, A.. 2004. Combining satellite multispectral image data and a digital elevation model for mapping debris-covered glaciers. Remote Sens. Environ., 89, 510–518.CrossRefGoogle Scholar
Retzlaff, R. and Bentley, C.R.. 1993. Timing of stagnation of Ice Stream C, West Antarctica, from short-pulse radar studies of buried surface crevasses. J. Glaciol., 39(133), 553–561.Google Scholar
Reusch, D. and Hughes, T.J.. 2003. Surface ‘waves’ on Byrd Glacier, Antarctica. Antarct. Sci., 154(4), 547–555.Google Scholar
Rignot, E. 2002. Mass balance of East Antarctic glaciers and ice shelves from satellite data. Ann. Glaciol., 34, 217–227.Google Scholar
Rignot, E. and Jacobs, S.S.. 2002. Rapid bottom melting widespread near Antarctic ice sheet grounding lines. Science, 296(5575), 2020–2023.Google Scholar
Rignot, E. and Thomas, R.H.. 2002. Mass balance of polar ice sheets. Science, 297(5586), 1502–1506.Google Scholar
Scambos, T.A., Dutkiewicz, M.J., Wilson, J.C. and Bindschadler, R.A.. 1992. Application of image cross-correlation to the measurement of glacier velocity using satellite image data. Remote Sens. Environ., 42(3), 177–186.Google Scholar
Stearns, L.A., Jezek, K.C. and van der Veen, C.J.. 2005. Decadal scale variations in ice flow along Whillans Ice Stream and its tributaries, West Antarctica. J. Glaciol., 51(172), 147–157.CrossRefGoogle Scholar
Stearns, L.A., Hamilton, G.S. and Reeh, N.. In press. Multi-decadal record of ice dynamics on Daugaard Jensen Gletscher, East Greenland, from satellite imagery and terrestrial measurements. Ann. Glaciol.Google Scholar
Stephenson, S.N. and Bindschadler, R.A.. 1988. Observed velocity fluctuations on a major Antarctic ice stream. Nature, 334(6184), 695–697.CrossRefGoogle Scholar
Stevens, N., Garbeil, H. and Mouginis-Mark, P.J.. 2004. NASA EOS Terra ASTER: volcanic topographic mapping and capability. Remote Sens. Environ., 90(3), 405–414.CrossRefGoogle Scholar
Swithinbank, C.W. 1963. Ice movement of valley glaciers flowing into the Ross Ice Shelf, Antarctica. Science, 141(3580), 523–524.Google Scholar
Toutin, T. 2001. Elevation modelling from satellite VIR data: a review. Int. J. Remote Sens., 22(6), 1097–1225.CrossRefGoogle Scholar
Toutin, T. 2002a. DEM from stereo Landsat 7 ETM+ data over high relief areas. Int. J. Remote Sens., 23(10), 2133–2139.CrossRefGoogle Scholar
Toutin, T. 2002b. Three-dimensional topographic mapping with ASTER stereo data in rugged topography. IEEE T. Geosci. Remote, 40(10), 2241–2247.Google Scholar
Toutin, T. and Cheng, P.. 2001. DEM generation with ASTER stereo data. Earth Observation Magazine, 10(6), 10–13.Google Scholar
Van der Veen, C.J. 1999. Fundamentals of glacier dynamics. Rotterdam, etc., A.A. Balkema Publishers.Google Scholar
Whillans, I.M. and Bindschadler, R.A. 1988. Mass balance of Ice Stream B, West Antarctica. Ann. Glaciol., 11, 187–193.Google Scholar
Whillans, I.M., Jackson, M. and Tseng, Y.H.. 1993. Velocity pattern in a transect across Ice Stream B, Antarctica. J. Glaciol., 39(133), 562–572.Google Scholar
Wingham, D.J., Ridout, A.L., Scharroo, R., Arthern, R.J. and Shum, C.K.. 1998. Antarctic elevation change 1992 to 1996. Science, 282(5388), 456–458.Google Scholar
Yamaguchi, Y., Kahle, A.B., Tsu, H., Kawakami, T. and Pniel, M.. 1998. Overview of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). IEEE T. Geosci. Remote, 36(4), 1062–1071.Google Scholar
Zomer, R., Ustin, S. and Ives, J.. 2002. Using satellite remote sensing for DEM extraction in complex mountainous terrain: landscape analysis of the Makalu Barun National Park of eastern Nepal. Int. J. Remote Sens., 23(1), 125–143.Google Scholar
Figure 0

Fig. 1. A RADARSAT image of Byrd Glacier and its catchment. (a) The catchment boundaries are derived from Rignot and Thomas (2002). (b) The location of the ASTER images used in this study to calculate ice velocities. Ice flow is from upper right to lower left. impactthe mass balance of East Antarctica and might also affect the stability of the Ross Ice Shelf.

Figure 1

Fig. 2. The acquisition of an ASTER stereo scene (after Kääb, 2002). The 3N (nadir band 3) scene and the corresponding 3B (backward-looking) scene are taken ~60 s apart (corresponding to 400 km along the satellite orbit track). These stereo images are used to produce a DEM.

Figure 2

Fig. 3. (a). An ASTER image draped over the ASTER-derived DEM of the Byrd Glacier area. The drop in elevation at the right of the image is due to the lack of overlap between the 3N and 3B bands (caused by the slight difference in look angle). Flow is from right to left. (b) The same ASTER image draped over the OSU DEM (Liu and others, 1999). The elevation profile follows the thick white line in (a) and (b). The solid line is elevation data from the ASTER DEM; the dashed line is from the OSU DEM. Note the improved spatial resolution of the ASTER DEM.

Figure 3

Fig. 4. (a) The distribution of displacement vectors from feature tracking using ASTER imagery. (b) The new velocity map for Byrd Glacier as obtained from ASTER, and gridded to 1 km. The velocity profiles correspond to the thick black lines along and across the image. (c) The velocity map derived by Brecher (1982) from aerial photography. (d) The difference in velocities (2001/02 – 1978/79) between maps B and C.