Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data
To fulfil the strong need for monitoring seasonal difference of velocity over the Greenland ice sheet (GrIS), we developed an approach based on the fusion of multiple temporal and multi sensor remote sensing observations. We used spaceborne synthetic aperture radar (SAR) and optical data over the Ru...
Published in: | Terrestrial, Atmospheric and Oceanic Sciences |
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Online Access: | http://nccur.lib.nccu.edu.tw//handle/140.119/127573 https://doi.org/10.3319/TAO.2019.06.03.01 http://nccur.lib.nccu.edu.tw/bitstream/140.119/127573/1/276.pdf |
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ftchengchi:oai:http://nccur.lib.nccu.edu.tw/:140.119/127573 2023-05-15T16:20:52+02:00 Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data 林士淵 Lin , Shih-Yuan Tsai, Y.-L. Kim, J.-R. Choi, Y. 地政系 2019 17245910 bytes application/pdf http://nccur.lib.nccu.edu.tw//handle/140.119/127573 https://doi.org/10.3319/TAO.2019.06.03.01 http://nccur.lib.nccu.edu.tw/bitstream/140.119/127573/1/276.pdf unknown Terrestrial, Atmospheric and Oceanic Sciences (TAO), 30, 541-562 doi:10.3319/TAO.2019.06.03.01 http://nccur.lib.nccu.edu.tw//handle/140.119/127573 http://nccur.lib.nccu.edu.tw/bitstream/140.119/127573/1/276.pdf Greenland ice sheet Glacier InSAR Offset tracking Numerical ice sheet model Subglacial features article 2019 ftchengchi https://doi.org/10.3319/TAO.2019.06.03.01 2019-12-06T01:16:44Z To fulfil the strong need for monitoring seasonal difference of velocity over the Greenland ice sheet (GrIS), we developed an approach based on the fusion of multiple temporal and multi sensor remote sensing observations. We used spaceborne synthetic aperture radar (SAR) and optical data over the Russell glacier in southwestern Greenland. Firstly, offset tracking and InSAR time series analyses were employed for deriving the glacier’s velocity in planimetric and line of sight (LOS) directions. Next, a three-dimensional (3D) decomposition was applied for estimating the 3D velocity vectors of the glacier. Once the reliability of the results was validated, a numerical ice sheet model (ISM) was further applied to derive the modelled basal friction in different seasons. We concluded that the overall data integration using multiple open-accessed satellite image employed in this study demonstrated a decent method to analyze seasonal velocity difference of the Russell glacier. Based on the proposed monitoring strategy, it is of great potential to further investigate other polar and inland glaciers with various remote sensed data. Article in Journal/Newspaper glacier Greenland Ice Sheet National Chengchi University Institutional Repository (NCCUIR) Greenland Terrestrial, Atmospheric and Oceanic Sciences 30 4 541 562 |
institution |
Open Polar |
collection |
National Chengchi University Institutional Repository (NCCUIR) |
op_collection_id |
ftchengchi |
language |
unknown |
topic |
Greenland ice sheet Glacier InSAR Offset tracking Numerical ice sheet model Subglacial features |
spellingShingle |
Greenland ice sheet Glacier InSAR Offset tracking Numerical ice sheet model Subglacial features 林士淵 Lin , Shih-Yuan Tsai, Y.-L. Kim, J.-R. Choi, Y. Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data |
topic_facet |
Greenland ice sheet Glacier InSAR Offset tracking Numerical ice sheet model Subglacial features |
description |
To fulfil the strong need for monitoring seasonal difference of velocity over the Greenland ice sheet (GrIS), we developed an approach based on the fusion of multiple temporal and multi sensor remote sensing observations. We used spaceborne synthetic aperture radar (SAR) and optical data over the Russell glacier in southwestern Greenland. Firstly, offset tracking and InSAR time series analyses were employed for deriving the glacier’s velocity in planimetric and line of sight (LOS) directions. Next, a three-dimensional (3D) decomposition was applied for estimating the 3D velocity vectors of the glacier. Once the reliability of the results was validated, a numerical ice sheet model (ISM) was further applied to derive the modelled basal friction in different seasons. We concluded that the overall data integration using multiple open-accessed satellite image employed in this study demonstrated a decent method to analyze seasonal velocity difference of the Russell glacier. Based on the proposed monitoring strategy, it is of great potential to further investigate other polar and inland glaciers with various remote sensed data. |
author2 |
地政系 |
format |
Article in Journal/Newspaper |
author |
林士淵 Lin , Shih-Yuan Tsai, Y.-L. Kim, J.-R. Choi, Y. |
author_facet |
林士淵 Lin , Shih-Yuan Tsai, Y.-L. Kim, J.-R. Choi, Y. |
author_sort |
林士淵 |
title |
Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data |
title_short |
Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data |
title_full |
Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data |
title_fullStr |
Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data |
title_full_unstemmed |
Analysis of the seasonal velocity difference of the Greenland Russell glacier using multi-sensor data |
title_sort |
analysis of the seasonal velocity difference of the greenland russell glacier using multi-sensor data |
publishDate |
2019 |
url |
http://nccur.lib.nccu.edu.tw//handle/140.119/127573 https://doi.org/10.3319/TAO.2019.06.03.01 http://nccur.lib.nccu.edu.tw/bitstream/140.119/127573/1/276.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
glacier Greenland Ice Sheet |
genre_facet |
glacier Greenland Ice Sheet |
op_relation |
Terrestrial, Atmospheric and Oceanic Sciences (TAO), 30, 541-562 doi:10.3319/TAO.2019.06.03.01 http://nccur.lib.nccu.edu.tw//handle/140.119/127573 http://nccur.lib.nccu.edu.tw/bitstream/140.119/127573/1/276.pdf |
op_doi |
https://doi.org/10.3319/TAO.2019.06.03.01 |
container_title |
Terrestrial, Atmospheric and Oceanic Sciences |
container_volume |
30 |
container_issue |
4 |
container_start_page |
541 |
op_container_end_page |
562 |
_version_ |
1766008878955233280 |