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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Published in:Remote Sensing
Main Authors: Jeremie Mouginot, Eric Rignot, Bernd Scheuchl, Romain Millan
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2017
Subjects:
Online Access:https://doi.org/10.3390/rs9040364
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spelling 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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