Preprint Review Version 1 This version is not peer-reviewed

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

Version 1 : Received: 15 August 2019 / Approved: 20 August 2019 / Online: 20 August 2019 (02:55:39 CEST)

A peer-reviewed article of this Preprint also exists.

Cooper, M.G.; Smith, L.C. Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review. Remote Sens. 2019, 11, 2405. Cooper, M.G.; Smith, L.C. Satellite Remote Sensing of the Greenland Ice Sheet Ablation Zone: A Review. Remote Sens. 2019, 11, 2405.

Journal reference: Remote Sens. 2019, 11, 2405
DOI: 10.3390/rs11202405

Abstract

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; 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.

Subject Areas

ablation zone; Greenland; ice sheet; surface mass balance; mass balance; altimetry; albedo; scatterometry; lidar; sea level rise

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