Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery

Synthetic Aperture Radar (SAR) images are commonly used to monitor glacier flow velocity at Greenland Ice Sheet (GrIS). However, offset-tracking with SAR imagery in summer usually show poor quality because the rapid ice surface freezing-melting cycles contaminating the surface backscattering charact...

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Published in:International Journal of Applied Earth Observation and Geoinformation
Main Authors: Gang Li, Yanting Mao, Xiaoman Feng, Zhuoqi Chen, Zhibin Yang, Xiao Cheng
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier 2023
Subjects:
Online Access:https://doi.org/10.1016/j.jag.2023.103374
https://doaj.org/article/f404353dddd24272a3270892346fe025
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spelling ftdoajarticles:oai:doaj.org/article:f404353dddd24272a3270892346fe025 2023-06-18T03:40:43+02:00 Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery Gang Li Yanting Mao Xiaoman Feng Zhuoqi Chen Zhibin Yang Xiao Cheng 2023-07-01T00:00:00Z https://doi.org/10.1016/j.jag.2023.103374 https://doaj.org/article/f404353dddd24272a3270892346fe025 EN eng Elsevier http://www.sciencedirect.com/science/article/pii/S156984322300198X https://doaj.org/toc/1569-8432 1569-8432 doi:10.1016/j.jag.2023.103374 https://doaj.org/article/f404353dddd24272a3270892346fe025 International Journal of Applied Earth Observations and Geoinformation, Vol 121, Iss , Pp 103374- (2023) Glacier velocity Sentinel-1 Sentinel-2 Greenland ice sheet Offset-tracking SBAS Physical geography GB3-5030 Environmental sciences GE1-350 article 2023 ftdoajarticles https://doi.org/10.1016/j.jag.2023.103374 2023-06-04T00:33:11Z Synthetic Aperture Radar (SAR) images are commonly used to monitor glacier flow velocity at Greenland Ice Sheet (GrIS). However, offset-tracking with SAR imagery in summer usually show poor quality because the rapid ice surface freezing-melting cycles contaminating the surface backscattering characteristic, while optical images are less sensitive to this phenomenon. In this study, we combine Sentinel-1 and -2 images to create the glacier velocity time series for the Petermann glacier, located in the northern GrIS. Firstly, the offset-tracking technique is employed to acquire the initial deformation fields with SAR and optical sensors separately, each SAR and/or optical acquisition is tracked with its closest next three acquisitions. Next, after removing the bad matchings, the least squares method based on connected components is employed to calculate the time series of glacier velocity for Sentinel-1 and −2, separately. Finally, these two kinds of derived time series are integrated with a weighted least squares method, where weights are evaluated according to the estimated RMSEs in the last step. Error propagation analysis suggests RMSEs of the single pair of Sentinel-1 and −2 images offset-tracking are ∼ 0.22 m and ∼ 2.5 m for Petermann glaciers. Standard deviation of the difference between Sentinel-1 and Sentinel-2 measured velocity are ∼ 0.25 m/day. Compared with 6-day velocity fields product, NSIDC (National Snow and Ice Data Center) −0766, which is only derived with Sentinel-1observations, our results show good agreement and less defects in summer. The differences are ∼ 0.20 m/day in non-melting seasons and ∼ 0.34 m/day in summer. Longitudinal velocity differences growing in 2019 and 2020 at ∼ 20 Km up to the terminus are consistency with the crevasse expansion, indicating another calving event is approaching. This research finds that the fusion of Sentinel-1 and −2 offset-tracking results improves the completeness of the ice movement time series for polar glaciers. Article in Journal/Newspaper glacier Greenland Ice Sheet National Snow and Ice Data Center Petermann glacier Directory of Open Access Journals: DOAJ Articles Greenland International Journal of Applied Earth Observation and Geoinformation 121 103374
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Glacier velocity
Sentinel-1
Sentinel-2
Greenland ice sheet
Offset-tracking
SBAS
Physical geography
GB3-5030
Environmental sciences
GE1-350
spellingShingle Glacier velocity
Sentinel-1
Sentinel-2
Greenland ice sheet
Offset-tracking
SBAS
Physical geography
GB3-5030
Environmental sciences
GE1-350
Gang Li
Yanting Mao
Xiaoman Feng
Zhuoqi Chen
Zhibin Yang
Xiao Cheng
Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery
topic_facet Glacier velocity
Sentinel-1
Sentinel-2
Greenland ice sheet
Offset-tracking
SBAS
Physical geography
GB3-5030
Environmental sciences
GE1-350
description Synthetic Aperture Radar (SAR) images are commonly used to monitor glacier flow velocity at Greenland Ice Sheet (GrIS). However, offset-tracking with SAR imagery in summer usually show poor quality because the rapid ice surface freezing-melting cycles contaminating the surface backscattering characteristic, while optical images are less sensitive to this phenomenon. In this study, we combine Sentinel-1 and -2 images to create the glacier velocity time series for the Petermann glacier, located in the northern GrIS. Firstly, the offset-tracking technique is employed to acquire the initial deformation fields with SAR and optical sensors separately, each SAR and/or optical acquisition is tracked with its closest next three acquisitions. Next, after removing the bad matchings, the least squares method based on connected components is employed to calculate the time series of glacier velocity for Sentinel-1 and −2, separately. Finally, these two kinds of derived time series are integrated with a weighted least squares method, where weights are evaluated according to the estimated RMSEs in the last step. Error propagation analysis suggests RMSEs of the single pair of Sentinel-1 and −2 images offset-tracking are ∼ 0.22 m and ∼ 2.5 m for Petermann glaciers. Standard deviation of the difference between Sentinel-1 and Sentinel-2 measured velocity are ∼ 0.25 m/day. Compared with 6-day velocity fields product, NSIDC (National Snow and Ice Data Center) −0766, which is only derived with Sentinel-1observations, our results show good agreement and less defects in summer. The differences are ∼ 0.20 m/day in non-melting seasons and ∼ 0.34 m/day in summer. Longitudinal velocity differences growing in 2019 and 2020 at ∼ 20 Km up to the terminus are consistency with the crevasse expansion, indicating another calving event is approaching. This research finds that the fusion of Sentinel-1 and −2 offset-tracking results improves the completeness of the ice movement time series for polar glaciers.
format Article in Journal/Newspaper
author Gang Li
Yanting Mao
Xiaoman Feng
Zhuoqi Chen
Zhibin Yang
Xiao Cheng
author_facet Gang Li
Yanting Mao
Xiaoman Feng
Zhuoqi Chen
Zhibin Yang
Xiao Cheng
author_sort Gang Li
title Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery
title_short Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery
title_full Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery
title_fullStr Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery
title_full_unstemmed Monitoring ice flow velocity of Petermann glacier combined with Sentinel-1 and −2 imagery
title_sort monitoring ice flow velocity of petermann glacier combined with sentinel-1 and −2 imagery
publisher Elsevier
publishDate 2023
url https://doi.org/10.1016/j.jag.2023.103374
https://doaj.org/article/f404353dddd24272a3270892346fe025
geographic Greenland
geographic_facet Greenland
genre glacier
Greenland
Ice Sheet
National Snow and Ice Data Center
Petermann glacier
genre_facet glacier
Greenland
Ice Sheet
National Snow and Ice Data Center
Petermann glacier
op_source International Journal of Applied Earth Observations and Geoinformation, Vol 121, Iss , Pp 103374- (2023)
op_relation http://www.sciencedirect.com/science/article/pii/S156984322300198X
https://doaj.org/toc/1569-8432
1569-8432
doi:10.1016/j.jag.2023.103374
https://doaj.org/article/f404353dddd24272a3270892346fe025
op_doi https://doi.org/10.1016/j.jag.2023.103374
container_title International Journal of Applied Earth Observation and Geoinformation
container_volume 121
container_start_page 103374
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