Fusion of multi-sensor surface elevation data for improved characterization of rapidly changing outlet glaciers in Greenland

Schenk, Toni; Csathó, Beáta; Veen, C van der; McCormick, David P.

doi:10.1016/j.rse.2014.04.005

Cited by 27 publications

(33 citation statements)

References 45 publications

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“…Originally limited to ICESat crossover areas only, SERAC has been extended to provide solutions along the ICESat ground tracks by combining ICESat data with airborne laser altimetry data (31). In this way, the spatial density of surface elevation time series increases dramatically, as Fig.…”

Section: Resultsmentioning

confidence: 99%

Laser altimetry reveals complex pattern of Greenland Ice Sheet dynamics

Csathó

Schenk

Veen³

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

167

186

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We present a new record of ice thickness change, reconstructed at nearly 100,000 sites on the Greenland Ice Sheet (GrIS) from laser altimetry measurements spanning the period 1993-2012, partitioned into changes due to surface mass balance (SMB) and ice dynamics. We estimate a mean annual GrIS mass loss of 243 ± 18 Gt·y The spatial pattern of dynamic mass loss changed over this time as dynamic thinning rapidly decreased in southeast Greenland but slowly increased in the southwest, north, and northeast regions. Most outlet glaciers have been thinning during the last two decades, interrupted by episodes of decreasing thinning or even thickening. Dynamics of the major outlet glaciers dominated the mass loss from larger drainage basins, and simultaneous changes over distances up to 500 km are detected, indicating climate control. However, the intricate spatiotemporal pattern of dynamic thickness change suggests that, regardless of the forcing responsible for initial glacier acceleration and thinning, the response of individual glaciers is modulated by local conditions. Recent projections of dynamic contributions from the entire GrIS to SLR have been based on the extrapolation of four major outlet glaciers. Considering the observed complexity, we question how well these four glaciers represent all of Greenland's outlet glaciers.Greenland Ice Sheet | laser altimetry | mass balance | ice dynamics

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Section: Resultsmentioning

confidence: 99%

Laser altimetry reveals complex pattern of Greenland Ice Sheet dynamics

Csathó

Schenk

Veen³

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

167

186

View full text Add to dashboard Cite

show abstract

“…The method uses polynomial regressions instead of common linear regression, being able to reconstruct variations of elevation change. Recently, these authors have expanded their method to use analytical models by involving more elevation data sources such as DEMs and airborne laser data [17,18]. To our best knowledge, no such attempts have been applied to mountain glaciers and satellite DEM time series alone, likely due to the often poor quality of individual DEM data sets.…”

Section: Introductionmentioning

confidence: 99%

Modeling Glacier Elevation Change from DEM Time Series

Wang

Kääb

2015

Remote Sensing

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“…The OFP method uses both XO and RT points but requires that the laser footprints of repeat measurements overlap. ICESat footprints are ellipses with a 50-90 m major axis length [174]. The overlapping criterion is determined by a predefined semi-major axis distance between laser footprints [100].…”

Section: Laser Altimetry Sensors Methods and Datasetsmentioning

confidence: 99%

“…ICESat-2 research to date has focused on pre-mission proof of concept, airborne and ground validation, and sensor calibration [186][187][188]. In addition to its unique ability to map surface water bathymetry, other novel applications of laser altimetry to the ablation zone that will benefit from ICESat-2 continuity include assimilation of dH/dt observations into transient ice flow simulations [189], fusion of multi-sensor (e.g., stereophotogrammetry or radar altimetry) datasets to increase the spatial density of surface elevation measurements [174], and application of lidar-based snow grain size and surface roughness retrievals independent of or in combination with optical sensors [190,191]. Comparison between ice sheet surface elevation change estimates by the laser altimetry and regional climate model (RCM) SMB is another area that is underexplored [89].…”

Section: Icesat-2 and Future Opportunitiesmentioning

confidence: 99%

Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review

Cooper

Smith

2019

Remote Sensing

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The Greenland Ice Sheet is now the largest land ice contributor to global sea level rise, largely driven by increased surface meltwater runoff from the ablation zone, i.e., areas of the ice sheet where annual mass losses exceed gains. This small but critically important area of the ice sheet has expanded in size by~50% since the early 1960s, and satellite remote sensing is a powerful tool for monitoring the physical processes that influence its surface mass balance. This review synthesizes key remote sensing methods and scientific findings from satellite remote sensing of the Greenland Ice Sheet ablation zone, covering progress in (1) radar altimetry, (2) laser (lidar) altimetry, (3) gravimetry, (4) multispectral optical imagery, and (5) microwave and thermal imagery. Physical characteristics and quantities examined include surface elevation change, gravimetric mass balance, reflectance, albedo, and mapping of surface melt extent and glaciological facies and zones. The review concludes that future progress will benefit most from methods that combine multi-sensor, multi-wavelength, and cross-platform datasets designed to discriminate the widely varying surface processes in the ablation zone. Specific examples include fusing laser altimetry, radar altimetry, and optical stereophotogrammetry to enhance spatial measurement density, cross-validate surface elevation change, and diagnose radar elevation bias; employing dual-frequency radar, microwave scatterometry, or combining radar and laser altimetry to map seasonal snow depth; fusing optical imagery, radar imagery, and microwave scatterometry to discriminate between snow, liquid water, refrozen meltwater, and bare ice near the equilibrium line altitude; combining optical reflectance with laser altimetry to map supraglacial lake, stream, and crevasse bathymetry; and monitoring the inland migration of snowlines, surface melt extent, and supraglacial hydrologic features.

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Fusion of multi-sensor surface elevation data for improved characterization of rapidly changing outlet glaciers in Greenland

Cited by 27 publications

References 45 publications

Laser altimetry reveals complex pattern of Greenland Ice Sheet dynamics

Laser altimetry reveals complex pattern of Greenland Ice Sheet dynamics

Modeling Glacier Elevation Change from DEM Time Series

Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review

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