Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic
The Antarctic is one of the most sensitive areas to climate change, and ice velocity is a fundamental parameter for quantitatively assessing the glacier mass balance. Interferometric synthetic aperture radar (InSAR), a powerful tool for monitoring surface deformation with the advantages of having hi...
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ftmdpi:oai:mdpi.com:/2072-4292/13/4/643/ 2023-08-20T04:02:29+02:00 Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic Wanji Zheng Jun Hu Jihong Liu Qian Sun Zhiwei Li Jianjun Zhu Lixin Wu agris 2021-02-10 application/pdf https://doi.org/10.3390/rs13040643 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs13040643 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 4; Pages: 643 3D ice velocity InSAR MAI Antarctic ice thickness Text 2021 ftmdpi https://doi.org/10.3390/rs13040643 2023-08-01T01:03:06Z The Antarctic is one of the most sensitive areas to climate change, and ice velocity is a fundamental parameter for quantitatively assessing the glacier mass balance. Interferometric synthetic aperture radar (InSAR), a powerful tool for monitoring surface deformation with the advantages of having high precision and wide coverage, has been widely used in determining ice velocity in the Antarctic. However, the mapping of complete three-dimensional (3D) ice velocities is greatly limited by the imaging geometries and digital elevation model (DEM)-induced errors. In this study, we propose the integration of multibaseline and multiaperture InSAR measurements from the ENVISAT ASAR datasets to derive complete 3D ice velocities in the Grove Mountains area of the Antarctic. The results show that the estimated complete 3D ice velocities are in good agreement with MEaSUREs and GPS observations. Compared with the conventional 2D and quasi-3D ice velocities, the complete 3D ice velocities can effectively eliminate the effects of DEM errors and elevation changes and are also capable of retrieving the thickness change of the ice, which provides important information on the origin of mass transition. Text Antarc* Antarctic MDPI Open Access Publishing Antarctic The Antarctic Asar ENVELOPE(134.033,134.033,68.667,68.667) Grove Mountains ENVELOPE(75.000,75.000,-72.750,-72.750) Remote Sensing 13 4 643 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
3D ice velocity InSAR MAI Antarctic ice thickness |
spellingShingle |
3D ice velocity InSAR MAI Antarctic ice thickness Wanji Zheng Jun Hu Jihong Liu Qian Sun Zhiwei Li Jianjun Zhu Lixin Wu Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic |
topic_facet |
3D ice velocity InSAR MAI Antarctic ice thickness |
description |
The Antarctic is one of the most sensitive areas to climate change, and ice velocity is a fundamental parameter for quantitatively assessing the glacier mass balance. Interferometric synthetic aperture radar (InSAR), a powerful tool for monitoring surface deformation with the advantages of having high precision and wide coverage, has been widely used in determining ice velocity in the Antarctic. However, the mapping of complete three-dimensional (3D) ice velocities is greatly limited by the imaging geometries and digital elevation model (DEM)-induced errors. In this study, we propose the integration of multibaseline and multiaperture InSAR measurements from the ENVISAT ASAR datasets to derive complete 3D ice velocities in the Grove Mountains area of the Antarctic. The results show that the estimated complete 3D ice velocities are in good agreement with MEaSUREs and GPS observations. Compared with the conventional 2D and quasi-3D ice velocities, the complete 3D ice velocities can effectively eliminate the effects of DEM errors and elevation changes and are also capable of retrieving the thickness change of the ice, which provides important information on the origin of mass transition. |
format |
Text |
author |
Wanji Zheng Jun Hu Jihong Liu Qian Sun Zhiwei Li Jianjun Zhu Lixin Wu |
author_facet |
Wanji Zheng Jun Hu Jihong Liu Qian Sun Zhiwei Li Jianjun Zhu Lixin Wu |
author_sort |
Wanji Zheng |
title |
Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic |
title_short |
Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic |
title_full |
Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic |
title_fullStr |
Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic |
title_full_unstemmed |
Mapping Complete Three-Dimensional Ice Velocities by Integrating Multi-Baseline and Multi-Aperture InSAR Measurements: A Case Study of the Grove Mountains Area, East Antarctic |
title_sort |
mapping complete three-dimensional ice velocities by integrating multi-baseline and multi-aperture insar measurements: a case study of the grove mountains area, east antarctic |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13040643 |
op_coverage |
agris |
long_lat |
ENVELOPE(134.033,134.033,68.667,68.667) ENVELOPE(75.000,75.000,-72.750,-72.750) |
geographic |
Antarctic The Antarctic Asar Grove Mountains |
geographic_facet |
Antarctic The Antarctic Asar Grove Mountains |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Remote Sensing; Volume 13; Issue 4; Pages: 643 |
op_relation |
https://dx.doi.org/10.3390/rs13040643 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13040643 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
4 |
container_start_page |
643 |
_version_ |
1774712948185366528 |