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Remote Sens. 2018, 10(6), 929; https://doi.org/10.3390/rs10060929

Intercomparison and Validation of SAR-Based Ice Velocity Measurement Techniques within the Greenland Ice Sheet CCI Project

1
DTU Space Institute, Technical University of Denmark (DTU), DK-2800 Kongens Lyngby, Denmark
2
Geological Survey of Denmark and Greenland (GEUS), Department of Glaciology and Climate, DK-1350 Copenhagen, Denmark
3
Science & Technology AS (S&T), N-0160 Oslo, Norway
4
Earth Resources Laboratory, Massachussets Institute of Technology (MIT), Boston, MA 02139, USA
5
Department of Geography, College of Science, Swansea University, Swansea SA28PP, UK
6
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Centro Nazionale Terremoti, 00143 Rome, Italy
7
Institute of Geography, University of Edinburgh, Edinburgh EH89XP, UK
8
Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
9
Department of Geoinformatics, University of Seoul, 02504 Seoul, Korea
10
Department of Earth System Science, University of California Irvine, Irvine, CA 92967, USA
11
CNRS, IRD, Grenoble INP, IGE, Université Grenoble Alpes, 38000 Grenoble, France
12
German Research Centre for Geosciences (GFZ Potsdam), 14473 Potsdam, Germany
13
Environmental Earth Observation IT GmbH (ENVEO), A-6020 Innsbruck, Austria
14
Gamma Remote Sensing AG, CH-3073 Gümligen, Switzerland
*
Author to whom correspondence should be addressed.
Received: 20 April 2018 / Revised: 15 May 2018 / Accepted: 11 June 2018 / Published: 12 June 2018
(This article belongs to the Special Issue Remote Sensing of Essential Climate Variables and Their Applications)

Abstract

Ice velocity is one of the products associated with the Ice Sheets Essential Climate Variable. This paper describes the intercomparison and validation of ice-velocity measurements carried out by several international research groups within the European Space Agency Greenland Ice Sheet Climate Change Initiative project, based on space-borne Synthetic Aperture Radar (SAR) data. The goal of this activity was to survey the best SAR-based measurement and error characterization approaches currently in practice. To this end, four experiments were carried out, related to different processing techniques and scenarios, namely differential SAR interferometry, multi aperture SAR interferometry and offset-tracking of incoherent as well as of partially-coherent data. For each task, participants were provided with common datasets covering areas located on the Greenland ice-sheet margin and asked to provide mean velocity maps, quality characterization and a description of processing algorithms and parameters. The results were then intercompared and validated against GPS data, revealing in several cases significant differences in terms of coverage and accuracy. The algorithmic steps and parameters influencing the coverage, accuracy and spatial resolution of the measurements are discussed in detail for each technique, as well as the consistency between quality parameters and validation results. This allows several recommendations to be formulated, in particular concerning procedures which can reduce the impact of analyst decisions, and which are often found to be the cause of sub-optimal algorithm performance. View Full-Text
Keywords: ice velocity; Synthetic Aperture Radar; Greenland ice sheet; Climate Change Initiative ice velocity; Synthetic Aperture Radar; Greenland ice sheet; Climate Change Initiative
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Merryman Boncori, J.P.; Langer Andersen, M.; Dall, J.; Kusk, A.; Kamstra, M.; Bech Andersen, S.; Bechor, N.; Bevan, S.; Bignami, C.; Gourmelen, N.; Joughin, I.; Jung, H.-S.; Luckman, A.; Mouginot, J.; Neelmeijer, J.; Rignot, E.; Scharrer, K.; Nagler, T.; Scheuchl, B.; Strozzi, T. Intercomparison and Validation of SAR-Based Ice Velocity Measurement Techniques within the Greenland Ice Sheet CCI Project. Remote Sens. 2018, 10, 929.

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