Improved Ice Velocity Measurements with Sentinel-1 TOPS Interferometry
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Improved Ice Velocity Measurements with Sentinel-1 TOPS Interferometry. / Andersen, Jonas Kvist; Kusk, Anders; Boncori, John Peter Merryman; Hvidberg, Christine Schott; Grinsted, Aslak.
I: Remote Sensing, Bind 12, Nr. 12, 2014, 2020.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Improved Ice Velocity Measurements with Sentinel-1 TOPS Interferometry
AU - Andersen, Jonas Kvist
AU - Kusk, Anders
AU - Boncori, John Peter Merryman
AU - Hvidberg, Christine Schott
AU - Grinsted, Aslak
PY - 2020
Y1 - 2020
N2 - In recent years, the Sentinel-1 satellites have provided a data archive of unprecedented volume, delivering C-band Synthetic Aperture Radar (SAR) acquisitions over most of the polar ice sheets with a repeat-pass period of 6-12 days using Interferometric Wide swath (IW) imagery acquired in Terrain Observation by Progressive Scans (TOPS) mode. Due to the added complexity of TOPS-mode interferometric processing, however, Sentinel-1 ice velocity measurements currently rely exclusively on amplitude offset tracking, which generates measurements of substantially lower accuracy and spatial resolution than would be possible with Differential SAR Interferometry (DInSAR). The main difficulty associated with TOPS interferometry lies in the spatially variable azimuth phase contribution arising from along-track motion within the scene. We present a Sentinel-1 interferometric processing chain, which reduces the azimuth coupling to the line-of-sight phase signal through a spatially adaptive coregistration refinement incorporating azimuth velocity measurements. The latter are based on available ice velocity mosaics, optionally supplemented by Burst-Overlap Multi-Aperture Interferometry. The DInSAR processing chain is demonstrated for a large drainage basin in Northeast Greenland, encompassing the Northeast Greenland Ice Stream (NEGIS), and integrated with state-of-the-art offset tracking measurements. In the ice sheet interior, the combined DInSAR and offset tracking ice velocity product provides a spatial resolution of50x50mand 1-sigma accuracies of 0.18 and 0.44 m/y in the x and y components respectively, compared to GPS.
AB - In recent years, the Sentinel-1 satellites have provided a data archive of unprecedented volume, delivering C-band Synthetic Aperture Radar (SAR) acquisitions over most of the polar ice sheets with a repeat-pass period of 6-12 days using Interferometric Wide swath (IW) imagery acquired in Terrain Observation by Progressive Scans (TOPS) mode. Due to the added complexity of TOPS-mode interferometric processing, however, Sentinel-1 ice velocity measurements currently rely exclusively on amplitude offset tracking, which generates measurements of substantially lower accuracy and spatial resolution than would be possible with Differential SAR Interferometry (DInSAR). The main difficulty associated with TOPS interferometry lies in the spatially variable azimuth phase contribution arising from along-track motion within the scene. We present a Sentinel-1 interferometric processing chain, which reduces the azimuth coupling to the line-of-sight phase signal through a spatially adaptive coregistration refinement incorporating azimuth velocity measurements. The latter are based on available ice velocity mosaics, optionally supplemented by Burst-Overlap Multi-Aperture Interferometry. The DInSAR processing chain is demonstrated for a large drainage basin in Northeast Greenland, encompassing the Northeast Greenland Ice Stream (NEGIS), and integrated with state-of-the-art offset tracking measurements. In the ice sheet interior, the combined DInSAR and offset tracking ice velocity product provides a spatial resolution of50x50mand 1-sigma accuracies of 0.18 and 0.44 m/y in the x and y components respectively, compared to GPS.
KW - ice velocity
KW - Greenland ice sheet
KW - Sentinel-1
KW - TOPS
KW - DInSAR
KW - RADAR INTERFEROMETRY
KW - MASS-BALANCE
KW - SHEET
KW - GREENLAND
KW - MOTION
KW - MISSION
KW - PHASE
U2 - 10.3390/rs12122014
DO - 10.3390/rs12122014
M3 - Journal article
VL - 12
JO - Remote Sensing
JF - Remote Sensing
SN - 2072-4292
IS - 12
M1 - 2014
ER -
ID: 246723243