Enhanced Wide-Area Glacier Velocity Monitoring in Svalbard via Synthetic Aperture Radar Offset Tracking Noise Suppression
Source abstract
Abstract
Glacier movement is an important indicator of climate change, reflecting the quality and state changes in glacier migration and mass balance in the context of global warming. Although accurately estimating glacier surface flow velocity is crucial for various applications, achieving this is challenging due to factors such as low temporal correlation and high noise effects. This paper presents the pixel offset tracking (POT) technology based on Synthetic Aperture Radar (SAR) data for glacier velocity monitoring, with enhanced cross-correlation matching window and noise suppression approaches. In particular, a noise suppression optimization method and a matching window optimization index suitable for wide-area glacier velocity monitoring are proposed. The inter-annual wide-area two-dimensional plane flow velocity of glaciers in the Svalbard archipelago was obtained by using a total of seven Sentinel-1 data sets from two orbits covering the entire Svalbard archipelago in 2021. The results indicate that 25 large glaciers in Svalbard destabilized in 2021, with a peak flow velocity of 6.18 m/day. At the same time, the influence of climate, topography, and other factors on glacier surface velocity is discussed. The wide-area glacier velocity monitoring method and its application demonstrated in this paper will serve as a valuable reference for studying glacier migration in the Arctic Svalbard archipelago and for other large-scale wide-area deformation monitoring efforts.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Cryospheric studies and observations · Winter Sports Injuries and Performance · Arctic and Antarctic ice dynamics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
Funding
National Key Research and Development Program of China
References (34)
Show source-provided references
1. Mitra, S., Devrani, R., Pandey, M., Arora, A., Costache, R., and Janizadeh, S. (2022). Landscape Modeling, Glacier and Ice Sheet Dynamics, and the Three Poles: A Review of Models, Softwares, and Tools. Adv. Remote Sens. Technol. Three Poles., 58–82.10.1002/9781119787754.ch5 ↗
2. Xie, A., Zhu, J., Wang, S., and Qin, X. (2023). Polar Amplification in the Earth’s Three Poles Based on MODIS Land Surface Temperatures. Remote Sens., 15.10.3390/rs15235566 ↗
3. Fast recession of a West Antarctic glacier10.1126/science.281.5376.549 ↗
4. Remote sensing of ice motion in Antarctica—A review10.1016/j.rse.2019.111595 ↗
5. Change detection and monitoring of glacier mass balance and facies using ERS SAR winter images over Svalbard10.1080/01431160110075550 ↗
6. InSAR-based characterization of rock glacier movement in the Uinta Mountains, Utah, USA10.5194/tc-15-4823-2021 ↗
7. Remote sensing of glacier and ice sheet grounding lines: A review10.1016/j.earscirev.2019.102948 ↗
8. Liu, X., Su, S., Ma, J., and Yang, W. (2019). Deformation Activity Analysis of a ground fissure based on instantaneous total energy. Sensors, 19.10.3390/s19112607 ↗
9. Dynamic landslides susceptibility evaluation in Baihetan Dam area during extensive impoundment by integrating geological model and InSAR observations
10. GMES Sentinel-1 mission10.1016/j.rse.2011.05.028 ↗
11. Interferometric processing of Sentinel-1 TOPS data10.1109/TGRS.2015.2497902 ↗
12. Vreugdenhil, M., Wagner, W., Bauer-Marschallinger, B., Pfeil, I., Teubner, I., Rüdiger, C., and Strauss, P. (2018). Sensitivity of Sentinel-1 backscatter to vegetation dynamics: An Austrian case study. Remote Sens., 10.10.3390/rs10091396 ↗
13. Polarimetric SAR pixel offset tracking for large-gradient landslide displacement mapping
14. Ou, D., Tan, K., Du, Q., Chen, Y., and Ding, J. (2018). Decision fusion of D-InSAR and pixel offset tracking for coal mining deformation monitoring. Remote Sens., 10.10.3390/rs10071055 ↗
15. TanDEM-X: Deriving InSAR height changes and velocity dynamics of great aletsch glacier10.1109/JSTARS.2021.3078084 ↗
16. Amitrano, D., Guida, R., Di Martino, G., and Iodice, A. (2019). Glacier monitoring using frequency domain offset tracking applied to sentinel-1 images: A product performance comparison. Remote Sens., 11.10.3390/rs11111322 ↗
17. Ice dynamics of union glacier from SAR offset tracking10.1016/j.gloplacha.2018.12.012 ↗
18. Xu, L., Chen, Q., Zhao, J.J., Liu, X.W., Xu, Q., and Yang, Y.H. (2021). An integrated approach for mapping three-dimensional coseismic displacement fields from Sentinel-1 TOPS data based on DInSAR, POT, MAI and BOI techniques: Application to the 2021 Mw 7.4 Maduo earthquake. Remote Sens., 13.10.3390/rs13234847 ↗
19. Seasonal dynamics of a permafrost landscape, Adventdalen, Svalbard, investigated by InSAR10.1016/j.rse.2019.111236 ↗
20. ERS tandem InSAR processing for DEM generation, glacier motion estimation and coherence analysis on Svalbard10.1080/01431160210153039 ↗
21. Rouyet, L., Liu, L., Strand, S.M., Christiansen, H.H., Lauknes, T.R., and Larsen, Y. (2021). Seasonal InSAR displacements documenting the active layer freeze and thaw progression in central-western Spitsbergen, Svalbard. Remote Sens., 13.10.3390/rs13152977 ↗
22. Mapping glacier velocities on Svalbard using ERS tandem DInSAR data10.1080/00291950500375500 ↗
23. Glacier displacement on Comfortlessbreen, Svalbard, using 2-pass differential SAR interferometry (DInSAR) with a digital elevation model10.1017/S0032247411000453 ↗
24. Recent Ground Displacement Over Permafrost in Midwestern Spitsbergen, Svalbard: InSAR Measurements and Modeling10.1109/JSTARS.2023.3332448 ↗
25. Land subsidence in central Mexico detected by ALOS InSAR time-series10.1016/j.rse.2013.08.038 ↗
26. Glacier motion estimation using SAR offset-tracking procedures10.1109/TGRS.2002.805079 ↗
27. A phase-offset estimation method for InSAR DEM generation based on phase-offset functions10.3390/rs4030745 ↗
28. Darvishi, M., Schlögel, R., Bruzzone, L., and Cuozzo, G. (2018). Integration of PSI, MAI, and intensity-based sub-pixel offset tracking results for landslide monitoring with X-band corner reflectors—Italian Alps (Corvara). Remote Sens., 10.10.3390/rs10030409 ↗
29. Improvement of the accuracy of InSAR image co-registration based on tie points–a review10.3390/s90201259 ↗
30. Resolution enhancement for inversed synthetic aperture radar imaging under low SNR via improved compressive sensing10.1109/TGRS.2010.2048575 ↗
31. Dynamics of tidewater surge-type glaciers in northwest Svalbard10.3189/2012JoG11J058 ↗
32. Geospatial investigation on transitional (quiescence to surge initiation) phase dynamics of Monacobreen tidewater glacier, Svalbard10.1016/j.asr.2021.08.020 ↗
33. Direct Observation of Basal Sliding and Deformation of Basal Drift at Sub-Freezing Temperatures10.3189/S0022143000005396 ↗
34. Xie, Z., and Liu, C. (2010). Introduction to Glaciology, Shanghai Science Popular Press.