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Keywords = SAR offset and speckle tracking

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6 pages, 1114 KiB  
Proceeding Paper
Line-of-Sight Glacier Velocity Estimation of Transboundary Glaciers in the Eastern Himalayas Using High-Resolution TerraSAR-X Data
by Arpan Sharma, Mousumi Gupta, Narpati Sharma and Santanu Gupta
Proceedings 2023, 87(1), 25; https://doi.org/10.3390/IECG2022-13951 - 3 Jan 2023
Viewed by 1490
Abstract
Glacier velocity is one of the critical parameters for understanding the current health status of a glacier. According to the momentum law, mass is inversely proportional to velocity. A higher velocity may indicate a lower mass. Fifteen transboundary glaciers from the eastern Himalayas [...] Read more.
Glacier velocity is one of the critical parameters for understanding the current health status of a glacier. According to the momentum law, mass is inversely proportional to velocity. A higher velocity may indicate a lower mass. Fifteen transboundary glaciers from the eastern Himalayas in the vicinity of India, Nepal, Bhutan, and China are chosen for the estimation of glacier velocity. These glaciers are Changshang, Rathong, South Lhonak, South Simvo, Talung, Tongshiong, Yalung, Zemu, Glacier 2, Glacier 3, Kaer, Ktr Gr 193, Middle Lhonak, North Lhonak, and Ktr Gr 171 (Lhonak Nepal), covering a total area of 440.92 km2. A remote sensing and GIS-based approach is considered for the study. High-resolution synthetic aperture radar data from TerraSAR-X were acquired from the German Aerospace Center (DLR) by the European Space Agency for the study area in the years 2020–2021. Satellite data were pre-processed using radiometric calibration and multi-look for speckle noise reduction. These datasets were co-registered using the SRTM Digital Elevation Model. Offset tracking was applied to estimate the glacier velocity. The maximum velocity in all glaciers ranged from 14.31 to 84.26 ma−1. The average velocity ranged from 1.78 to 7.09 ma−1. The glacier with the highest average velocity was the South Lhonak glacier. This glacier has been melting rapidly in the last few decades. Near the snout of this glacier lies a glacial lake made up of a moraine dam. For quality assessment, the latest field-based results of 2018 and the observed results of 2021 were compared. It was noticed that there is a variation of approximately 10%. Full article
(This article belongs to the Proceedings of The 4th International Electronic Conference on Geosciences)
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15 pages, 18978 KiB  
Article
Retrieve Ice Velocities and Invert Spatial Rigidity of the Larsen C Ice Shelf Based on Sentinel-1 Interferometric Data
by Faming Gong, Kui Zhang and Shujun Liu
Remote Sens. 2021, 13(12), 2361; https://doi.org/10.3390/rs13122361 - 17 Jun 2021
Cited by 2 | Viewed by 2369
Abstract
The Larsen C Ice Shelf (LCIS) is the largest ice shelf in the Antarctica Peninsula, and its state can be considered to be an indicator of local climate change. The goal of this paper is to invert the rigidity of the LCIS based [...] Read more.
The Larsen C Ice Shelf (LCIS) is the largest ice shelf in the Antarctica Peninsula, and its state can be considered to be an indicator of local climate change. The goal of this paper is to invert the rigidity of the LCIS based on the interferometric synthetic aperture radar (InSAR) technique using Sentinel-1 images. A targeted processing chain is first used to obtain reliable interferometric phase measurements under the circumstance of rapid ice flow. Unfortunately, only the descending data are available, which disallows the corresponding 2-D velocity field to be directly obtained from such measurements. A new approach is thus proposed to estimate the interferometric phase-based 2-D velocity field with the assistance of speckle tracking offsets. This approach establishes an implicit relationship between range and azimuth displacements based on speckle tracking observations. By taking advantage of such a relationship, the equivalent interferometric signals in the azimuth direction are estimated, thereby recovering the interferometric phase-based 2-D ice velocity field of the LCIS. To further investigate the state of the LCIS, the recovered 2-D velocity field is utilized to invert the ice rigidity. The shallow-shelf approximation (SSA) is the core of the reverse model, which is closely dependent on boundary conditions, including kinematic and dynamic conditions. The experimental results demonstrate that the spatial distribution of the rigidity varies approximately from 70 MPa·s1/3 to 300 MPa·s1/3. This rigidity distribution can reproduce a similar ice flow pattern to the observations. Full article
(This article belongs to the Special Issue Geodetic Monitoring for Land Deformation)
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16 pages, 7035 KiB  
Article
3D SAR Speckle Offset Tracking Potential for Monitoring Landfast Ice Growth and Displacement
by Byung-Hun Choe, Sergey Samsonov and Jungkyo Jung
Remote Sens. 2021, 13(11), 2168; https://doi.org/10.3390/rs13112168 - 1 Jun 2021
Cited by 5 | Viewed by 3981
Abstract
This study investigates the growth and displacement of landfast ice along the shoreline of the Mackenzie Delta in Northwest Territories, Canada, by synthetic aperture radar (SAR) speckle offset tracking (SPO). Three-dimensional (3D) offsets were reconstructed from Sentinel-1 ascending and descending SAR images acquired [...] Read more.
This study investigates the growth and displacement of landfast ice along the shoreline of the Mackenzie Delta in Northwest Territories, Canada, by synthetic aperture radar (SAR) speckle offset tracking (SPO). Three-dimensional (3D) offsets were reconstructed from Sentinel-1 ascending and descending SAR images acquired on the same dates during the November 2017–April 2018 and October 2018–May 2019 annual cycles. The analysis revealed both horizontal and vertical offsets. The annual horizontal offsets of up to ~8 m are interpreted as landfast ice displacements caused by wind and ocean currents. The annual vertical offsets of approximately −1 to −2 m were observed from landfast ice, which are likely due to longer radar penetration up to the ice–water interface with increasing landfast ice thickness. Numerical ice thickness model estimates supported the conclusion that the cumulative vertical negative offsets correspond to the growth of freshwater ice. Time-series analysis showed that the significant growth and displacement of landfast ice in the Mackenzie Delta occurred between November and January during the 2017–2018 and 2018–2019 cycles. Full article
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16 pages, 29991 KiB  
Article
An Inter-Comparison of Techniques for Determining Velocities of Maritime Arctic Glaciers, Svalbard, Using Radarsat-2 Wide Fine Mode Data
by Thomas Schellenberger, Wesley Van Wychen, Luke Copland, Andreas Kääb and Laurence Gray
Remote Sens. 2016, 8(9), 785; https://doi.org/10.3390/rs8090785 - 21 Sep 2016
Cited by 22 | Viewed by 8849
Abstract
Glacier dynamics play an important role in the mass balance of many glaciers, ice caps and ice sheets. In this study we exploit Radarsat-2 (RS-2) Wide Fine (WF) data to determine the surface speed of Svalbard glaciers in the winters of 2012/2013 and [...] Read more.
Glacier dynamics play an important role in the mass balance of many glaciers, ice caps and ice sheets. In this study we exploit Radarsat-2 (RS-2) Wide Fine (WF) data to determine the surface speed of Svalbard glaciers in the winters of 2012/2013 and 2013/2014 using Synthetic Aperture RADAR (SAR) offset and speckle tracking. The RS-2 WF mode combines the advantages of the large spatial coverage of the Wide mode (150 × 150 km) and the high pixel resolution (9 m) of the Fine mode and thus has a major potential for glacier velocity monitoring from space through offset and speckle tracking. Faster flowing glaciers (1.95 m·d−1–2.55 m·d−1) that are studied in detail are Nathorstbreen, Kronebreen, Kongsbreen and Monacobreen. Using our Radarsat-2 WF dataset, we compare the performance of two SAR tracking algorithms, namely the GAMMA Remote Sensing Software and a custom written MATLAB script (GRAY method) that has primarily been used in the Canadian Arctic. Both algorithms provide comparable results, especially for the faster flowing glaciers and the termini of slower tidewater glaciers. A comparison of the WF data to RS-2 Ultrafine and Wide mode data reveals the superiority of RS-2 WF data over the Wide mode data. Full article
(This article belongs to the Special Issue Remote Sensing of Glaciers)
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