Next Article in Journal
Multi-Temporal and Spectral Analysis of High-Resolution Hyperspectral Airborne Imagery for Precision Agriculture: Assessment of Wheat Grain Yield and Grain Protein Content
Next Article in Special Issue
East Africa Rainfall Trends and Variability 1983–2015 Using Three Long-Term Satellite Products
Previous Article in Journal
Real-Time Precise Point Positioning Using Tomographic Wet Refractivity Fields
Previous Article in Special Issue
A Multisensor Approach to Global Retrievals of Land Surface Albedo
Article Menu
Issue 6 (June) cover image

Export Article

Open AccessArticle
Remote Sens. 2018, 10(6), 929;

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

DTU Space Institute, Technical University of Denmark (DTU), DK-2800 Kongens Lyngby, Denmark
Geological Survey of Denmark and Greenland (GEUS), Department of Glaciology and Climate, DK-1350 Copenhagen, Denmark
Science & Technology AS (S&T), N-0160 Oslo, Norway
Earth Resources Laboratory, Massachussets Institute of Technology (MIT), Boston, MA 02139, USA
Department of Geography, College of Science, Swansea University, Swansea SA28PP, UK
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Centro Nazionale Terremoti, 00143 Rome, Italy
Institute of Geography, University of Edinburgh, Edinburgh EH89XP, UK
Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
Department of Geoinformatics, University of Seoul, 02504 Seoul, Korea
Department of Earth System Science, University of California Irvine, Irvine, CA 92967, USA
CNRS, IRD, Grenoble INP, IGE, Université Grenoble Alpes, 38000 Grenoble, France
German Research Centre for Geosciences (GFZ Potsdam), 14473 Potsdam, Germany
Environmental Earth Observation IT GmbH (ENVEO), A-6020 Innsbruck, Austria
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)
Full-Text   |   PDF [32727 KB, uploaded 13 June 2018]   |  


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

Graphical abstract

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).

Supplementary material


Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top