Modeling Glacier Elevation Change from DEM Time Series

Wang, Di; Kääb, Andreas

doi:10.3390/rs70810117

Cited by 59 publications

(66 citation statements)

References 44 publications

(70 reference statements)

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“…a −1 from 2000 to 2014. Their 2-8 m penetration depth is consistent with the penetration gradient we inferred here by subtracting the SRTM DEM from a reconstructed DEM, obtained by extrapolating dh/dt to the time of acquisition of the SRTM as proposed in Wang and Kääb (2015). This is also consistent with a firstorder estimate of the penetration depth inferred from the elevation difference between the SRTM DEM and laser altimetry profiles acquired in late August 1999 and May 2000 over Baird and Taku glaciers.…”

Section: Discussionsupporting

confidence: 75%

Brief communication: Unabated wastage of the Juneau and Stikine icefields (southeast Alaska) in the early 21st century

et al. 2018

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Abstract. The large Juneau and Stikine icefields (Alaska) lost mass rapidly in the second part of the 20th century. Laser altimetry, gravimetry and field measurements suggest continuing mass loss in the early 21st century. However, two recent studies based on time series of Shuttle Radar Topographic Mission (SRTM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital elevation models (DEMs) indicate a slowdown in mass loss after 2000. Here, the ASTER-based geodetic mass balances are recalculated carefully avoiding the use of the SRTM DEM because of the unknown penetration depth of the C-band radar signal. We find strongly negative mass balances from 2000 to 2016 (−0.68 ± 0.15 m w.e. a −1 for the Juneau Icefield and −0.83 ± 0.12 m w.e. a −1 for the Stikine Icefield), in agreement with laser altimetry, confirming that mass losses are continuing at unabated rates for both icefields. The SRTM DEM should be avoided or used very cautiously to estimate glacier volume change, especially in the North Hemisphere and over timescales of less than ∼ 20 years.

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Section: Discussionsupporting

confidence: 75%

Brief communication: Unabated wastage of the Juneau and Stikine icefields (southeast Alaska) in the early 21st century

et al. 2018

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“…In order to test the performance of Sentinel-2A derived ice velocities over a fast-flowing, maritime (and thus sensitive) mountain glacier, we track displacements over Fox Glacier, New Zealand [31,32] from 3 Sentinel-2A images (24 December 2015-3 January 2016-13 January 2016; Figure 14). Displacements were measured in all three combinations, i.e., two subsequent 10-day periods and the full 20-day period, and the residual Ñ ε of the vector sum triangulated for each location:…”

Section: New Zealandmentioning

confidence: 99%

“…In order to test the performance of Sentinel-2A derived ice velocities over a fast-flowing, maritime (and thus sensitive) mountain glacier, we track displacements over Fox Glacier, New Zealand [31,32] Velocity vectors between the repeat data from same orbits (Figure 13a,b) are not affected by ortho-rectification offsets, but the geo-location of the measurements is actually offset by d (Equations (1) and (2)), i.e., reaching magnitudes of tens of meters depending on the DEM errors ∆h and the off-nadir distance of the locations. This effect will typically not be visible and will shift result locations similarly since the same outdated DEM is used.…”

Section: New Zealandmentioning

confidence: 99%

Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity

et al. 2016

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Abstract:With its temporal resolution of 10 days (five days with two satellites, and significantly more at high latitudes), its swath width of 290 km, and its 10 m and 20 m spatial resolution bands from the visible to the shortwave infrared, the European Sentinel-2 satellites have significant potential for glacier remote sensing, in particular mapping of glacier outlines and facies, and velocity measurements. Testing Level 1C commissioning and ramp-up phase data for initial sensor quality experiences, we find a high radiometric performance, but with slight striping effects under certain conditions. Through co-registration of repeat Sentinal-2 data we also find lateral offset patterns and noise on the order of a few metres. Neither of these issues will complicate most typical glaciological applications. Absolute geo-location of the data investigated was on the order of one pixel at the time of writing. The most severe geometric problem stems from vertical errors of the DEM used for ortho-rectifying Sentinel-2 data. These errors propagate into locally varying lateral offsets in the images, up to several pixels with respect to other georeferenced data, or between Sentinel-2 data from different orbits. Finally, we characterize the potential and limitations of tracking glacier flow from repeat Sentinel-2 data using a set of typical glaciers in different environments: Aletsch Glacier, Swiss Alps; Fox Glacier, New Zealand; Jakobshavn Isbree, Greenland; Antarctic Peninsula at the Larsen C ice shelf.

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“…Although the noise on individual ASTER DEMs is large, the time series approach using dozens of dates spread over different seasons overcomes some of the issues of differencing only two DEMs, without applying seasonal corrections (e.g., Willis et al, 2012b;Wang and Kääb, 2015;Berthier et al, 2016). The WorldView DEMs are coregistered to the SRTM DEM using the same method applied to the ASTER DEMs.…”

Section: Introductionmentioning

confidence: 99%

Stikine Icefield Mass Loss between 2000 and 2013/2014

Melkonian¹,

Willis

Pritchard

2016

Front. Earth Sci.

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We calculate thinning rates ( dh ) at the 5800 km 2 Stikine Icefield of southeast dt Alaska from stacked digital elevation models (DEMs) acquired between 2000 and 2013/2014, and glacier velocities between 1985 and 2014 from feature tracking on optical image pairs. We find a mass change rate of −3.3 ± 1.1 Gt yr −1 between 2000 and 2014, equivalent to an area-averaged elevation change rate of −0.57 ± 0.18 m w.e. yr −1 . In 2014, land-terminating glaciers are 50% of the Stikine Icefield's glaciated area and contribute −0.9 ± 0.4 Gt yr −1 of mass change (27% of the total), while marine-terminating glaciers are only 30% of the total glaciated area, but contribute 1.5−1 − ± 0.3 Gt yr (or 45% of total mass change, with the remaining mass loss from lacustrine-terminating glaciers). We estimate the frontal ablation flux between 2000 and 2014 at the four largest marine-terminating glaciers on the Stikine Icefield (covering 90-95% of the marine-terminating glaciated area) using our glacier velocities and maps of fjord bathymetry to estimate terminus cross sections and glacier thicknesses. The combined 2014 frontal ablation flux of these four glaciers is 1.18 ± 0.14 Gt yr −1 , which may account for the difference in average mass loss between marine-and land-terminating glaciers on the Stikine Icefield. The Stikine and adjacent Juneau Icefields have very different mass loss contributions from marine-terminating glaciers (45% vs. effectively 0%), but both have area-averaged elevation change rates that are less negative than Alaska-wide estimates, which is surprising for these southernmost icefields in Alaska.

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Modeling Glacier Elevation Change from DEM Time Series

Cited by 59 publications

References 44 publications

Brief communication: Unabated wastage of the Juneau and Stikine icefields (southeast Alaska) in the early 21st century

Brief communication: Unabated wastage of the Juneau and Stikine icefields (southeast Alaska) in the early 21st century

Glacier Remote Sensing Using Sentinel-2. Part I: Radiometric and Geometric Performance, and Application to Ice Velocity

Stikine Icefield Mass Loss between 2000 and 2013/2014

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