Intercomparison and validation of SAR-based ice velocity measurement techniques within the Greenland Ice Sheet CCI project

John Peter Merryman Boncori*, Morten Langer Andersen, Jørgen Dall, Anders Kusk, Martijn Kamstra, Signe Bech Andersen, Noa Bechor, Suzanne Bevan, Christian Bignami, Noel Gourmelen, Ian Joughin, Hyung Sup Jung, Adrian Luckman, Jeremie Mouginot, Julia Neelmeijer, Eric Rignot, Kilian Scharrer, Thomas Nagler, Bernd Scheuchl, Tazio Strozzi

*Corresponding author for this work

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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.

Original languageEnglish
Article number929
JournalRemote Sensing
Volume10
Issue number6
Number of pages37
ISSN2072-4292
DOIs
Publication statusPublished - 2018

Bibliographical note

© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Keywords

  • Climate Change Initiative
  • Greenland ice sheet
  • Ice velocity
  • Synthetic Aperture Radar

Cite this

Boncori, John Peter Merryman ; Andersen, Morten Langer ; Dall, Jørgen ; Kusk, Anders ; Kamstra, Martijn ; Andersen, Signe Bech ; Bechor, Noa ; Bevan, Suzanne ; Bignami, Christian ; Gourmelen, Noel ; Joughin, Ian ; Jung, Hyung Sup ; Luckman, Adrian ; Mouginot, Jeremie ; Neelmeijer, Julia ; Rignot, Eric ; Scharrer, Kilian ; Nagler, Thomas ; Scheuchl, Bernd ; Strozzi, Tazio. / Intercomparison and validation of SAR-based ice velocity measurement techniques within the Greenland Ice Sheet CCI project. In: Remote Sensing. 2018 ; Vol. 10, No. 6.
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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.",
keywords = "Climate Change Initiative, Greenland ice sheet, Ice velocity, Synthetic Aperture Radar",
author = "Boncori, {John Peter Merryman} and Andersen, {Morten Langer} and J{\o}rgen Dall and Anders Kusk and Martijn Kamstra and Andersen, {Signe Bech} and Noa Bechor and Suzanne Bevan and Christian Bignami and Noel Gourmelen and Ian Joughin and Jung, {Hyung Sup} and Adrian Luckman and Jeremie Mouginot and Julia Neelmeijer and Eric Rignot and Kilian Scharrer and Thomas Nagler and Bernd Scheuchl and Tazio Strozzi",
note = "{\circledC} 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).",
year = "2018",
doi = "10.3390/rs10060929",
language = "English",
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Boncori, JPM, Andersen, ML, Dall, J, Kusk, A, Kamstra, M, Andersen, SB, Bechor, N, Bevan, S, Bignami, C, Gourmelen, N, Joughin, I, Jung, HS, Luckman, A, Mouginot, J, Neelmeijer, J, Rignot, E, Scharrer, K, Nagler, T, Scheuchl, B & Strozzi, T 2018, 'Intercomparison and validation of SAR-based ice velocity measurement techniques within the Greenland Ice Sheet CCI project', Remote Sensing, vol. 10, no. 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. / Boncori, John Peter Merryman; Andersen, Morten Langer; Dall, Jørgen; Kusk, Anders; Kamstra, Martijn; Andersen, Signe Bech; Bechor, Noa; Bevan, Suzanne; Bignami, Christian; Gourmelen, Noel; Joughin, Ian; Jung, Hyung Sup; Luckman, Adrian; Mouginot, Jeremie; Neelmeijer, Julia; Rignot, Eric; Scharrer, Kilian; Nagler, Thomas; Scheuchl, Bernd; Strozzi, Tazio.

In: Remote Sensing, Vol. 10, No. 6, 929, 2018.

Research output: Contribution to journalJournal articleResearchpeer-review

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T1 - Intercomparison and validation of SAR-based ice velocity measurement techniques within the Greenland Ice Sheet CCI project

AU - Boncori, John Peter Merryman

AU - Andersen, Morten Langer

AU - Dall, Jørgen

AU - Kusk, Anders

AU - Kamstra, Martijn

AU - Andersen, Signe Bech

AU - Bechor, Noa

AU - Bevan, Suzanne

AU - Bignami, Christian

AU - Gourmelen, Noel

AU - Joughin, Ian

AU - Jung, Hyung Sup

AU - Luckman, Adrian

AU - Mouginot, Jeremie

AU - Neelmeijer, Julia

AU - Rignot, Eric

AU - Scharrer, Kilian

AU - Nagler, Thomas

AU - Scheuchl, Bernd

AU - Strozzi, Tazio

N1 - © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Climate Change Initiative

KW - Greenland ice sheet

KW - Ice velocity

KW - Synthetic Aperture Radar

U2 - 10.3390/rs10060929

DO - 10.3390/rs10060929

M3 - Journal article

AN - SCOPUS:85048953457

VL - 10

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

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ER -