Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data

Ice velocity is a fundamental parameter in studying the dynamics of ice sheets. Until recently, no complete mapping of Antarctic ice motion had been available due to calibration uncertainties and lack of basic data. Here, we present a method for calibrating and mosaicking an ensemble of InSAR satell...

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Published in:Remote Sensing
Main Authors: Bernd Scheuchl, Eric Rignot, Jeremie Mouginot
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2012
Subjects:
Q
Online Access:https://doi.org/10.3390/rs4092753
https://doaj.org/article/1b19c4f136ab4a86bdd1b76a530a502c
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spelling ftdoajarticles:oai:doaj.org/article:1b19c4f136ab4a86bdd1b76a530a502c 2023-05-15T13:49:38+02:00 Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data Bernd Scheuchl Eric Rignot Jeremie Mouginot 2012-09-01T00:00:00Z https://doi.org/10.3390/rs4092753 https://doaj.org/article/1b19c4f136ab4a86bdd1b76a530a502c EN eng MDPI AG http://www.mdpi.com/2072-4292/4/9/2753 https://doaj.org/toc/2072-4292 doi:10.3390/rs4092753 2072-4292 https://doaj.org/article/1b19c4f136ab4a86bdd1b76a530a502c Remote Sensing, Vol 4, Iss 9, Pp 2753-2767 (2012) Antarctica InSAR ice motion Science Q article 2012 ftdoajarticles https://doi.org/10.3390/rs4092753 2022-12-31T16:27:45Z Ice velocity is a fundamental parameter in studying the dynamics of ice sheets. Until recently, no complete mapping of Antarctic ice motion had been available due to calibration uncertainties and lack of basic data. Here, we present a method for calibrating and mosaicking an ensemble of InSAR satellite measurements of ice motion from six sensors: the Japanese ALOS PALSAR, the European Envisat ASAR, ERS-1 and ERS-2, and the Canadian RADARSAT-1 and RADARSAT-2. Ice motion calibration is made difficult by the sparsity of in-situ reference points and the shear size of the study area. A sensor-dependent data stacking scheme is applied to reduce measurement uncertainties. The resulting ice velocity mosaic has errors in magnitude ranging from 1 m/yr in the interior regions to 17 m/yr in coastal sectors and errors in flow direction ranging from less than 0.5 in areas of fast flow to unconstrained direction in sectors of slow motion. It is important to understand how these mosaics are calibrated to understand the inner characteristics of the velocity products as well as to plan future InSAR acquisitions in the Antarctic. As an example, we show that in broad sectors devoid of ice-motion control, it is critical to operate ice motion mapping on a large scale to avoid pitfalls of calibration uncertainties that would make it difficult to obtain quality products and especially construct reliable time series of ice motion needed to detect temporal changes. Article in Journal/Newspaper Antarc* Antarctic Antarctica Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Asar ENVELOPE(134.033,134.033,68.667,68.667) Remote Sensing 4 9 2753 2767
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Antarctica
InSAR
ice motion
Science
Q
spellingShingle Antarctica
InSAR
ice motion
Science
Q
Bernd Scheuchl
Eric Rignot
Jeremie Mouginot
Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data
topic_facet Antarctica
InSAR
ice motion
Science
Q
description Ice velocity is a fundamental parameter in studying the dynamics of ice sheets. Until recently, no complete mapping of Antarctic ice motion had been available due to calibration uncertainties and lack of basic data. Here, we present a method for calibrating and mosaicking an ensemble of InSAR satellite measurements of ice motion from six sensors: the Japanese ALOS PALSAR, the European Envisat ASAR, ERS-1 and ERS-2, and the Canadian RADARSAT-1 and RADARSAT-2. Ice motion calibration is made difficult by the sparsity of in-situ reference points and the shear size of the study area. A sensor-dependent data stacking scheme is applied to reduce measurement uncertainties. The resulting ice velocity mosaic has errors in magnitude ranging from 1 m/yr in the interior regions to 17 m/yr in coastal sectors and errors in flow direction ranging from less than 0.5 in areas of fast flow to unconstrained direction in sectors of slow motion. It is important to understand how these mosaics are calibrated to understand the inner characteristics of the velocity products as well as to plan future InSAR acquisitions in the Antarctic. As an example, we show that in broad sectors devoid of ice-motion control, it is critical to operate ice motion mapping on a large scale to avoid pitfalls of calibration uncertainties that would make it difficult to obtain quality products and especially construct reliable time series of ice motion needed to detect temporal changes.
format Article in Journal/Newspaper
author Bernd Scheuchl
Eric Rignot
Jeremie Mouginot
author_facet Bernd Scheuchl
Eric Rignot
Jeremie Mouginot
author_sort Bernd Scheuchl
title Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data
title_short Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data
title_full Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data
title_fullStr Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data
title_full_unstemmed Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data
title_sort mapping of ice motion in antarctica using synthetic-aperture radar data
publisher MDPI AG
publishDate 2012
url https://doi.org/10.3390/rs4092753
https://doaj.org/article/1b19c4f136ab4a86bdd1b76a530a502c
long_lat ENVELOPE(134.033,134.033,68.667,68.667)
geographic Antarctic
The Antarctic
Asar
geographic_facet Antarctic
The Antarctic
Asar
genre Antarc*
Antarctic
Antarctica
genre_facet Antarc*
Antarctic
Antarctica
op_source Remote Sensing, Vol 4, Iss 9, Pp 2753-2767 (2012)
op_relation http://www.mdpi.com/2072-4292/4/9/2753
https://doaj.org/toc/2072-4292
doi:10.3390/rs4092753
2072-4292
https://doaj.org/article/1b19c4f136ab4a86bdd1b76a530a502c
op_doi https://doi.org/10.3390/rs4092753
container_title Remote Sensing
container_volume 4
container_issue 9
container_start_page 2753
op_container_end_page 2767
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