Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data
Satellite remote sensing data including Landsat-8 (optical), Sentinel-1, and RADARSAT-2 (synthetic aperture radar (SAR) missions) have recently become routinely available for large scale ice velocity mapping of ice sheets in Greenland and Antarctica. These datasets are too large in size to be proces...
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ftmdpi:oai:mdpi.com:/2072-4292/9/4/364/ 2023-08-20T04:02:15+02:00 Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data Jeremie Mouginot Eric Rignot Bernd Scheuchl Romain Millan agris 2017-04-12 application/pdf https://doi.org/10.3390/rs9040364 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs9040364 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 9; Issue 4; Pages: 364 Ice velocity mapping Landsat-8 Sentinel-1 RADARSAT-2 Text 2017 ftmdpi https://doi.org/10.3390/rs9040364 2023-07-31T21:05:38Z Satellite remote sensing data including Landsat-8 (optical), Sentinel-1, and RADARSAT-2 (synthetic aperture radar (SAR) missions) have recently become routinely available for large scale ice velocity mapping of ice sheets in Greenland and Antarctica. These datasets are too large in size to be processed and calibrated manually as done in the past. Here, we describe a methodology to process the SAR and optical data in a synergistic fashion and automatically calibrate, mosaic, and integrate these data sets together into seamless, ice-sheet-wide, products. We employ this approach to produce annual mosaics of ice motion in Antarctica and Greenland with all available data acquired on a particular year. We find that the precision of a Landsat-8 pair is lower than that of its SAR counterpart, but due to the large number of Landsat-8 acquisitions, combined with the high persistency of optical surface features in the Landsat-8 data, we obtain accurate velocity products from Landsat that integrate well with the SAR-derived velocity products. The resulting pool of remote sensing products is a significant advance for observing changes in ice dynamics over the entire ice sheets and their contribution to sea level. In preparation for the next generation sensors, we discuss the implications of the results for the upcoming NASA-ISRO SAR mission (NISAR). Text Antarc* Antarctica Greenland Ice Sheet MDPI Open Access Publishing Greenland Remote Sensing 9 4 364 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Ice velocity mapping Landsat-8 Sentinel-1 RADARSAT-2 |
spellingShingle |
Ice velocity mapping Landsat-8 Sentinel-1 RADARSAT-2 Jeremie Mouginot Eric Rignot Bernd Scheuchl Romain Millan Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data |
topic_facet |
Ice velocity mapping Landsat-8 Sentinel-1 RADARSAT-2 |
description |
Satellite remote sensing data including Landsat-8 (optical), Sentinel-1, and RADARSAT-2 (synthetic aperture radar (SAR) missions) have recently become routinely available for large scale ice velocity mapping of ice sheets in Greenland and Antarctica. These datasets are too large in size to be processed and calibrated manually as done in the past. Here, we describe a methodology to process the SAR and optical data in a synergistic fashion and automatically calibrate, mosaic, and integrate these data sets together into seamless, ice-sheet-wide, products. We employ this approach to produce annual mosaics of ice motion in Antarctica and Greenland with all available data acquired on a particular year. We find that the precision of a Landsat-8 pair is lower than that of its SAR counterpart, but due to the large number of Landsat-8 acquisitions, combined with the high persistency of optical surface features in the Landsat-8 data, we obtain accurate velocity products from Landsat that integrate well with the SAR-derived velocity products. The resulting pool of remote sensing products is a significant advance for observing changes in ice dynamics over the entire ice sheets and their contribution to sea level. In preparation for the next generation sensors, we discuss the implications of the results for the upcoming NASA-ISRO SAR mission (NISAR). |
format |
Text |
author |
Jeremie Mouginot Eric Rignot Bernd Scheuchl Romain Millan |
author_facet |
Jeremie Mouginot Eric Rignot Bernd Scheuchl Romain Millan |
author_sort |
Jeremie Mouginot |
title |
Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data |
title_short |
Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data |
title_full |
Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data |
title_fullStr |
Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data |
title_full_unstemmed |
Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data |
title_sort |
comprehensive annual ice sheet velocity mapping using landsat-8, sentinel-1, and radarsat-2 data |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2017 |
url |
https://doi.org/10.3390/rs9040364 |
op_coverage |
agris |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Antarc* Antarctica Greenland Ice Sheet |
genre_facet |
Antarc* Antarctica Greenland Ice Sheet |
op_source |
Remote Sensing; Volume 9; Issue 4; Pages: 364 |
op_relation |
https://dx.doi.org/10.3390/rs9040364 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs9040364 |
container_title |
Remote Sensing |
container_volume |
9 |
container_issue |
4 |
container_start_page |
364 |
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1774712652986056704 |